Trait: thyroid disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_1000627
Description A disease involving the thyroid gland.
Trait category
Other disease
Synonyms 10 synonyms
  • Thyroiditis
  • disease of thyroid gland
  • disease or disorder of thyroid gland
  • disorder of thyroid gland
  • thyroid disease
  • thyroid gland disease
  • thyroid gland disease or disorder
  • thyroid gland diseases
  • thyroid gland disorder
  • thyroid gland disorders
Mapped terms 15 mapped terms
  • DOID:50
  • ICD10:E06
  • ICD10:E07
  • ICD10CM:E00-E07
  • ICD9:240-246.99
  • ICD9:246.8
  • ICD9:246.9
  • MESH:D013959
  • MONDO:0003240
  • MedDRA:10043778
  • MedDRA:10043785
  • NCIT:C26893
  • SCTID:14304000
  • UMLS:C0040128
  • Wikipedia:Thyroid_disease
Child trait(s) 7 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "thyroid disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000087
(CC_Thyroid)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000087/ScoringFiles/PGS000087.txt.gz
PGS000162
(cGRS_Thyroid)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Thyroid cancer thyroid carcinoma 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000162/ScoringFiles/PGS000162.txt.gz
PGS000207
(TC10_Ohio)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000207/ScoringFiles/PGS000207.txt.gz
PGS000208
(TC10_Iceland)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000208/ScoringFiles/PGS000208.txt.gz
PGS000209
(TC10_UKB)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000209/ScoringFiles/PGS000209.txt.gz
PGS000626
(PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000626/ScoringFiles/PGS000626.txt.gz
PGS000627
(PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 11
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000627/ScoringFiles/PGS000627.txt.gz
PGS000628
(PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 656
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000628/ScoringFiles/PGS000628.txt.gz
PGS000629
(PRSWEB_PHECODE193_C73_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000629/ScoringFiles/PGS000629.txt.gz
PGS000630
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000630/ScoringFiles/PGS000630.txt.gz
PGS000631
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000631/ScoringFiles/PGS000631.txt.gz
PGS000632
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000632/ScoringFiles/PGS000632.txt.gz
PGS000633
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000633/ScoringFiles/PGS000633.txt.gz
PGS000634
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000634/ScoringFiles/PGS000634.txt.gz
PGS000635
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000635/ScoringFiles/PGS000635.txt.gz
PGS000636
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000636/ScoringFiles/PGS000636.txt.gz
PGS000759
(hypoT)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Hypothyroidism hypothyroidism 140
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000759/ScoringFiles/PGS000759.txt.gz
PGS000761
(LDpred2_hypoT_PRS)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Hypothyroidism hypothyroidism 1,099,649
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000761/ScoringFiles/PGS000761.txt.gz
PGS000797
(CC_Thyroid_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000797/ScoringFiles/PGS000797.txt.gz
PGS000820
(PRS_hypothyroidism)
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Hypothyroidism (self-reported) hypothyroidism 890,908
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000820/ScoringFiles/PGS000820.txt.gz
PGS000928
(GBE_HC644)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other non-toxic goitre (time-to-event) nontoxic goiter 170
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000928/ScoringFiles/PGS000928.txt.gz
PGS000965
(GBE_HC219)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hypothyroidism/myxoedema hypothyroidism,
myxedema
4,535
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000965/ScoringFiles/PGS000965.txt.gz
PGS001042
(GBE_HC645)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Thyrotoxicosis [hyperthyroidism] (time-to-event) Thyrotoxicosis 226
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz
PGS001043
(GBE_HC55)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hyperthyroidism, thyrotoxicosis Hyperthyroidism,
Thyrotoxicosis
69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.txt.gz
PGS001181
(GBE_HC643)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other hypothyroidism (time-to-event) hypothyroidism 4,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001181/ScoringFiles/PGS001181.txt.gz
PGS001289
(GBE_cancer1065)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Thyroid cancer thyroid carcinoma 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001289/ScoringFiles/PGS001289.txt.gz
PGS001354
(PRS12_TC)
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001354/ScoringFiles/PGS001354.txt.gz
PGS001809
(portability-PLR_193)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyroid cancer thyroid carcinoma 111
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001809/ScoringFiles/PGS001809.txt.gz
PGS001814
(portability-PLR_241.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nontoxic multinodular goiter multinodular goiter,
nontoxic goiter
322
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001814/ScoringFiles/PGS001814.txt.gz
PGS001815
(portability-PLR_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz
PGS001816
(portability-PLR_244)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypothyroidism hypothyroidism 11,130
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001816/ScoringFiles/PGS001816.txt.gz
PGS002018
(portability-ldpred2_193)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyroid cancer thyroid carcinoma 311,520
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002018/ScoringFiles/PGS002018.txt.gz
PGS002022
(portability-ldpred2_241.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nontoxic multinodular goiter multinodular goiter,
nontoxic goiter
375,470
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002022/ScoringFiles/PGS002022.txt.gz
PGS002023
(portability-ldpred2_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 279,385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz
PGS002024
(portability-ldpred2_244)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypothyroidism hypothyroidism 632,597
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002024/ScoringFiles/PGS002024.txt.gz
PGS002336
(disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002336/ScoringFiles/PGS002336.txt.gz
PGS002351
(disease_THYROID_ANY_SELF_REP.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002351/ScoringFiles/PGS002351.txt.gz
PGS002408
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 4,815
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002408/ScoringFiles/PGS002408.txt.gz
PGS002423
(disease_THYROID_ANY_SELF_REP.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 4,483
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002423/ScoringFiles/PGS002423.txt.gz
PGS002457
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 17,519
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002457/ScoringFiles/PGS002457.txt.gz
PGS002472
(disease_THYROID_ANY_SELF_REP.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 16,694
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002472/ScoringFiles/PGS002472.txt.gz
PGS002506
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 97,010
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002506/ScoringFiles/PGS002506.txt.gz
PGS002521
(disease_THYROID_ANY_SELF_REP.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 95,522
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002521/ScoringFiles/PGS002521.txt.gz
PGS002555
(disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 986
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002555/ScoringFiles/PGS002555.txt.gz
PGS002570
(disease_THYROID_ANY_SELF_REP.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 954
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002570/ScoringFiles/PGS002570.txt.gz
PGS002604
(disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 550
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002604/ScoringFiles/PGS002604.txt.gz
PGS002619
(disease_THYROID_ANY_SELF_REP.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 548
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002619/ScoringFiles/PGS002619.txt.gz
PGS002653
(disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 197,450
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002653/ScoringFiles/PGS002653.txt.gz
PGS002668
(disease_THYROID_ANY_SELF_REP.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 189,808
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002668/ScoringFiles/PGS002668.txt.gz
PGS002702
(disease_HYPOTHYROIDISM_SELF_REP.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Hypothyroidism hypothyroidism 889,041
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002702/ScoringFiles/PGS002702.txt.gz
PGS002717
(disease_THYROID_ANY_SELF_REP.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Thyroid (self-reported conditions) thyroid disease 895,602
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002717/ScoringFiles/PGS002717.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000207 PGS000087
(CC_Thyroid)
PSS000126|
European Ancestry|
411,118 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Thyroid cancer OR: 1.55 [1.44, 1.67] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002052 PGS000087
(CC_Thyroid)
PSS001025|
European Ancestry|
391,189 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident thyroid cancer HR: 1.57 [1.36, 1.82] AUROC: 0.679
C-index: 0.666 (0.023)
Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000493 PGS000162
(cGRS_Thyroid)
PSS000282|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Thyroid cancer Odds Ratio (OR; high vs. average risk groups): 1.7 [1.29, 2.25]
PPM000482 PGS000162
(cGRS_Thyroid)
PSS000282|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Thyroid cancer Mean realative risk: 1.09 [1.04, 1.15]
Wilcoxon test (case vs. control) p-value: 4e-05
PPM000631 PGS000207
(TC10_Ohio)
PSS000342|
European Ancestry|
3,137 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.692 [0.673, 0.71] gender, birth year, family history of disease (1st or 2nd degree relative) AUROC (Clinical factors alone) = 0.585 [0.565 - 0.605]
PPM000632 PGS000208
(TC10_Iceland)
PSS000341|
European Ancestry|
130,279 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.751 [0.736, 0.768] gender, birth year, family history of disease (1st or 2nd degree relative) AUROC (Clinical factors alone) = 0.697 [0.680 - 0.714]
PPM000633 PGS000209
(TC10_UKB)
PSS000343|
European Ancestry|
408,479 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.694 [0.673, 0.716] gender, birth year AUROC (Clinical factors alone) = 0.629 [0.606 - 0.651]
PPM001311 PGS000626
(PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.161 [1.048, 1.285]
β: 0.149 (0.052)
AUROC: 0.529 [0.496, 0.559] Nagelkerke's Pseudo-R²: 0.0041
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.44 [1.18, 5.02]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608
PPM001312 PGS000627
(PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.27 [1.148, 1.405]
β: 0.239 (0.0515)
AUROC: 0.56 [0.53, 0.59] Nagelkerke's Pseudo-R²: 0.0107
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 2.42 [1.17, 4.98]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608
PPM001313 PGS000628
(PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.276 [1.155, 1.41]
β: 0.244 (0.0509)
AUROC: 0.565 [0.535, 0.595] Nagelkerke's Pseudo-R²: 0.0114
Brier score: 0.0823
Odds Ratio (OR, top 1% vs. Rest): 1.91 [0.861, 4.22]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608
PPM001314 PGS000629
(PRSWEB_PHECODE193_C73_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer β: 0.114 (0.0517)
OR: 1.121 [1.013, 1.24]
AUROC: 0.52 [0.488, 0.55] Nagelkerke's Pseudo-R²: 0.00247
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 2.15 [1.01, 4.59]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C73_PT_MGI_20200608
PPM001315 PGS000630
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.598 [1.439, 1.775]
β: 0.469 (0.0536)
AUROC: 0.626 [0.597, 0.655] Nagelkerke's Pseudo-R²: 0.0393
Brier score: 0.0811
Odds Ratio (OR, top 1% vs. Rest): 3.53 [1.87, 6.66]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608
PPM001316 PGS000631
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608)
PSS000579|
European Ancestry|
1,778 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.651 [1.41, 1.934]
β: 0.501 (0.0806)
AUROC: 0.636 [0.589, 0.682] Nagelkerke's Pseudo-R²: 0.0478
Brier score: 0.0803
Odds Ratio (OR, top 1% vs. Rest): 4.4 [1.81, 10.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608
PPM001317 PGS000632
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.568 [1.412, 1.74]
β: 0.45 (0.0532)
AUROC: 0.618 [0.587, 0.647] Nagelkerke's Pseudo-R²: 0.0365
Brier score: 0.0812
Odds Ratio (OR, top 1% vs. Rest): 5.14 [2.94, 8.99]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608
PPM001318 PGS000633
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608)
PSS000579|
European Ancestry|
1,778 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.609 [1.38, 1.876]
β: 0.476 (0.0783)
AUROC: 0.628 [0.582, 0.675] Nagelkerke's Pseudo-R²: 0.0447
Brier score: 0.0804
Odds Ratio (OR, top 1% vs. Rest): 4.41 [1.81, 10.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608
PPM001319 PGS000634
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.119 [1.008, 1.241]
β: 0.112 (0.053)
AUROC: 0.535 [0.504, 0.567] Nagelkerke's Pseudo-R²: 0.00228
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.39 [0.562, 3.45]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608
PPM001320 PGS000635
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.315 [1.194, 1.448]
β: 0.274 (0.0492)
AUROC: 0.569 [0.538, 0.598] Nagelkerke's Pseudo-R²: 0.0151
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.708, 3.83]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608
PPM001321 PGS000636
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.385 [1.254, 1.529]
β: 0.325 (0.0507)
AUROC: 0.578 [0.548, 0.607] Nagelkerke's Pseudo-R²: 0.0205
Brier score: 0.0819
Odds Ratio (OR, top 1% vs. Rest): 3.21 [1.67, 6.15]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608
PPM001934 PGS000759
(hypoT)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.52 [1.31, 1.74] meta-analysis p-value: 7.52e-09 5 genotype PCs
PPM001936 PGS000761
(LDpred2_hypoT_PRS)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.49 [1.3, 1.71] meta-analysis p-value: 5.49e-09 5 genotype PCs
PPM002068 PGS000797
(CC_Thyroid_IV)
PSS001025|
European Ancestry|
391,189 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident thyroid cancer HR: 1.75 [1.53, 2.01] AUROC: 0.701
C-index: 0.692 (0.022)
: 0.31 Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002193 PGS000820
(PRS_hypothyroidism)
PSS001068|
European Ancestry|
51,070 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Spontaneous hypothyroidism OR: 1.33 [1.29, 1.37] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002195 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.08, 1.66] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002197 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.07, 1.69] Age, sex, PCs(1-10)
PPM002199 PGS000820
(PRS_hypothyroidism)
PSS001069|
Multi-ancestry (including European)|
561 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.39 [1.07, 1.82] AUROC: 0.64 Age, sex, PCs(1-10)
PPM002198 PGS000820
(PRS_hypothyroidism)
PSS001071|
European Ancestry|
634 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.27 [1.02, 1.59] Age, sex
PPM007467 PGS000928
(GBE_HC644)
PSS004560|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other non-toxic goitre AUROC: 0.72128 [0.66829, 0.77427] : 0.0605
Incremental AUROC (full-covars): 0.01397
PGS R2 (no covariates): 0.01481
PGS AUROC (no covariates): 0.60656 [0.54212, 0.67101]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007468 PGS000928
(GBE_HC644)
PSS004561|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other non-toxic goitre AUROC: 0.6964 [0.60514, 0.78765] : 0.04766
Incremental AUROC (full-covars): 0.00791
PGS R2 (no covariates): 0.00213
PGS AUROC (no covariates): 0.559 [0.46259, 0.65542]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007469 PGS000928
(GBE_HC644)
PSS004562|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other non-toxic goitre AUROC: 0.71135 [0.68228, 0.74042] : 0.0552
Incremental AUROC (full-covars): 0.0365
PGS R2 (no covariates): 0.01651
PGS AUROC (no covariates): 0.62112 [0.58564, 0.6566]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007470 PGS000928
(GBE_HC644)
PSS004563|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other non-toxic goitre AUROC: 0.77727 [0.73439, 0.82016] : 0.09335
Incremental AUROC (full-covars): 0.02392
PGS R2 (no covariates): 0.01984
PGS AUROC (no covariates): 0.62519 [0.56312, 0.68726]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007471 PGS000928
(GBE_HC644)
PSS004564|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other non-toxic goitre AUROC: 0.72495 [0.70529, 0.74461] : 0.05905
Incremental AUROC (full-covars): 0.03129
PGS R2 (no covariates): 0.01271
PGS AUROC (no covariates): 0.60048 [0.57499, 0.62598]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007649 PGS000965
(GBE_HC219)
PSS004354|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hypothyroidism/myxoedema AUROC: 0.70914 [0.67391, 0.74437] : 0.06732
Incremental AUROC (full-covars): 0.00847
PGS R2 (no covariates): 0.01005
PGS AUROC (no covariates): 0.58277 [0.54281, 0.62272]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007650 PGS000965
(GBE_HC219)
PSS004355|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hypothyroidism/myxoedema AUROC: 0.68903 [0.61236, 0.7657] : 0.05952
Incremental AUROC (full-covars): 0.01842
PGS R2 (no covariates): 0.01318
PGS AUROC (no covariates): 0.58777 [0.50589, 0.66966]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007651 PGS000965
(GBE_HC219)
PSS004356|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hypothyroidism/myxoedema AUROC: 0.76462 [0.75294, 0.7763] : 0.14559
Incremental AUROC (full-covars): 0.06544
PGS R2 (no covariates): 0.06844
PGS AUROC (no covariates): 0.68233 [0.66882, 0.69583]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007652 PGS000965
(GBE_HC219)
PSS004357|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hypothyroidism/myxoedema AUROC: 0.74628 [0.72661, 0.76594] : 0.13858
Incremental AUROC (full-covars): 0.03694
PGS R2 (no covariates): 0.04737
PGS AUROC (no covariates): 0.64507 [0.62236, 0.66778]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007653 PGS000965
(GBE_HC219)
PSS004358|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hypothyroidism/myxoedema AUROC: 0.76828 [0.76142, 0.77515] : 0.14978
Incremental AUROC (full-covars): 0.07249
PGS R2 (no covariates): 0.07271
PGS AUROC (no covariates): 0.68907 [0.68098, 0.69716]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007968 PGS001042
(GBE_HC645)
PSS004565|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.74292 [0.70274, 0.7831] : 0.0808
Incremental AUROC (full-covars): -0.001
PGS R2 (no covariates): 0.00441
PGS AUROC (no covariates): 0.55406 [0.50519, 0.60292]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007969 PGS001042
(GBE_HC645)
PSS004566|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.64568 [0.56662, 0.72474] : 0.04341
Incremental AUROC (full-covars): 0.0279
PGS R2 (no covariates): 0.02341
PGS AUROC (no covariates): 0.6179 [0.53755, 0.69825]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007970 PGS001042
(GBE_HC645)
PSS004567|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.69253 [0.66505, 0.72] : 0.0468
Incremental AUROC (full-covars): 0.03643
PGS R2 (no covariates): 0.01594
PGS AUROC (no covariates): 0.61209 [0.58178, 0.6424]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007971 PGS001042
(GBE_HC645)
PSS004568|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.68899 [0.63846, 0.73951] : 0.04589
Incremental AUROC (full-covars): 0.03955
PGS R2 (no covariates): 0.01668
PGS AUROC (no covariates): 0.60594 [0.54869, 0.66319]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007972 PGS001042
(GBE_HC645)
PSS004569|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.71296 [0.69708, 0.72884] : 0.05914
Incremental AUROC (full-covars): 0.04673
PGS R2 (no covariates): 0.02359
PGS AUROC (no covariates): 0.63392 [0.61562, 0.65223]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007973 PGS001043
(GBE_HC55)
PSS004526|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.73999 [0.69812, 0.78186] : 0.07663
Incremental AUROC (full-covars): -0.00598
PGS R2 (no covariates): 0.00164
PGS AUROC (no covariates): 0.53513 [0.48316, 0.5871]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007974 PGS001043
(GBE_HC55)
PSS004527|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.62359 [0.53601, 0.71117] : 0.03132
Incremental AUROC (full-covars): 0.0205
PGS R2 (no covariates): 0.01311
PGS AUROC (no covariates): 0.58858 [0.50442, 0.67274]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007975 PGS001043
(GBE_HC55)
PSS004528|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.69729 [0.66674, 0.72784] : 0.04646
Incremental AUROC (full-covars): 0.03676
PGS R2 (no covariates): 0.01638
PGS AUROC (no covariates): 0.61845 [0.58525, 0.65166]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007976 PGS001043
(GBE_HC55)
PSS004529|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.68797 [0.63675, 0.7392] : 0.04145
Incremental AUROC (full-covars): 0.04372
PGS R2 (no covariates): 0.01807
PGS AUROC (no covariates): 0.60983 [0.54762, 0.67204]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007977 PGS001043
(GBE_HC55)
PSS004530|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.71366 [0.6965, 0.73082] : 0.0566
Incremental AUROC (full-covars): 0.04641
PGS R2 (no covariates): 0.02158
PGS AUROC (no covariates): 0.6323 [0.61251, 0.6521]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008594 PGS001181
(GBE_HC643)
PSS004555|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other hypothyroidism AUROC: 0.70862 [0.67381, 0.74343] : 0.06703
Incremental AUROC (full-covars): 0.01118
PGS R2 (no covariates): 0.01121
PGS AUROC (no covariates): 0.58683 [0.5475, 0.62616]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008595 PGS001181
(GBE_HC643)
PSS004556|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other hypothyroidism AUROC: 0.71469 [0.64687, 0.78251] : 0.07343
Incremental AUROC (full-covars): 0.03489
PGS R2 (no covariates): 0.01956
PGS AUROC (no covariates): 0.60912 [0.53836, 0.67988]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008596 PGS001181
(GBE_HC643)
PSS004557|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other hypothyroidism AUROC: 0.76338 [0.75207, 0.77469] : 0.14671
Incremental AUROC (full-covars): 0.06656
PGS R2 (no covariates): 0.06971
PGS AUROC (no covariates): 0.68243 [0.66936, 0.69549]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008597 PGS001181
(GBE_HC643)
PSS004558|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other hypothyroidism AUROC: 0.74011 [0.72045, 0.75977] : 0.1348
Incremental AUROC (full-covars): 0.03883
PGS R2 (no covariates): 0.04904
PGS AUROC (no covariates): 0.6475 [0.62543, 0.66957]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008598 PGS001181
(GBE_HC643)
PSS004559|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other hypothyroidism AUROC: 0.76691 [0.7602, 0.77362] : 0.15134
Incremental AUROC (full-covars): 0.0729
PGS R2 (no covariates): 0.07419
PGS AUROC (no covariates): 0.68962 [0.68178, 0.69747]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008943 PGS001289
(GBE_cancer1065)
PSS007656|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Thyroid cancer AUROC: 0.72837 [0.59989, 0.85685] : 0.0395
Incremental AUROC (full-covars): 0.01385
PGS R2 (no covariates): 0.0141
PGS AUROC (no covariates): 0.6101 [0.46446, 0.75575]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008944 PGS001289
(GBE_cancer1065)
PSS007657|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Thyroid cancer AUROC: 0.83233 [0.67782, 0.98683] : 0.16699
Incremental AUROC (full-covars): -0.00184
PGS R2 (no covariates): 0.01024
PGS AUROC (no covariates): 0.54057 [0.24283, 0.83831]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008945 PGS001289
(GBE_cancer1065)
PSS007658|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Thyroid cancer AUROC: 0.71465 [0.65621, 0.77309] : 0.04643
Incremental AUROC (full-covars): 0.00897
PGS R2 (no covariates): 0.00455
PGS AUROC (no covariates): 0.55967 [0.48236, 0.63699]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008946 PGS001289
(GBE_cancer1065)
PSS007659|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Thyroid cancer AUROC: 0.71171 [0.57425, 0.84917] : 0.04277
Incremental AUROC (full-covars): 0.00229
PGS R2 (no covariates): 0.00022
PGS AUROC (no covariates): 0.51375 [0.35907, 0.66843]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008947 PGS001289
(GBE_cancer1065)
PSS007660|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Thyroid cancer AUROC: 0.63744 [0.5901, 0.68478] : 0.016
Incremental AUROC (full-covars): 0.03389
PGS R2 (no covariates): 0.01236
PGS AUROC (no covariates): 0.61843 [0.56413, 0.67273]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005178 PGS001354
(PRS12_TC)
PSS003603|
European Ancestry|
2,370 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors Relative Rate (RR): 1.57 [1.24, 1.98] Attained age modeled by restricted cubic splines
PPM005179 PGS001354
(PRS12_TC)
PSS003603|
European Ancestry|
2,370 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had received neck radiotherapy Relative Rate (RR): 1.68 [1.29, 2.18] Attained age modeled by restricted cubic splines
PPM005180 PGS001354
(PRS12_TC)
PSS003602|
European Ancestry|
6,416 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors Relative Rate (RR): 1.52 [1.25, 1.83] Attained age modeled by restricted cubic splines
PPM005181 PGS001354
(PRS12_TC)
PSS003602|
European Ancestry|
6,416 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had received neck radiotherapy Relative Rate (RR): 1.42 [1.09, 1.85] Attained age modeled by restricted cubic splines
PPM005182 PGS001354
(PRS12_TC)
PSS003602|
European Ancestry|
6,416 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had not received neck radiotherapy Relative Rate (RR): 1.66 [1.26, 2.2] Attained age modeled by restricted cubic splines
PPM005183 PGS001354
(PRS12_TC)
PSS003603|
European Ancestry|
2,370 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 40 AUROC: 0.83
C-index: 0.842
Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group)
PPM005184 PGS001354
(PRS12_TC)
PSS003602|
European Ancestry|
6,416 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 40 AUROC: 0.73
C-index: 0.73
Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group)
PPM005185 PGS001354
(PRS12_TC)
PSS003603|
European Ancestry|
2,370 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 50 AUROC: 0.82
C-index: 0.834
Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group)
PPM005186 PGS001354
(PRS12_TC)
PSS003602|
European Ancestry|
6,416 individuals
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 50 AUROC: 0.72
C-index: 0.727
Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group)
PPM009374 PGS001809
(portability-PLR_193)
PSS009279|
European Ancestry|
19,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0307 [0.0168, 0.0446] sex, age, birth date, deprivation index, 16 PCs
PPM009377 PGS001809
(portability-PLR_193)
PSS008383|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.0014 [-0.0586, 0.0557] sex, age, birth date, deprivation index, 16 PCs
PPM009378 PGS001809
(portability-PLR_193)
PSS008161|
South Asian Ancestry|
6,305 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0052 [-0.0195, 0.0299] sex, age, birth date, deprivation index, 16 PCs
PPM009379 PGS001809
(portability-PLR_193)
PSS007948|
East Asian Ancestry|
1,801 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.0121 [-0.0585, 0.0344] sex, age, birth date, deprivation index, 16 PCs
PPM009380 PGS001809
(portability-PLR_193)
PSS007730|
African Ancestry|
2,453 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0102 [-0.0296, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM009381 PGS001809
(portability-PLR_193)
PSS008833|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0008 [-0.0307, 0.0323] sex, age, birth date, deprivation index, 16 PCs
PPM009375 PGS001809
(portability-PLR_193)
PSS009053|
European Ancestry|
4,120 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.0082 [-0.0388, 0.0225] sex, age, birth date, deprivation index, 16 PCs
PPM009376 PGS001809
(portability-PLR_193)
PSS008607|
European Ancestry|
6,640 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0196 [-0.0045, 0.0437] sex, age, birth date, deprivation index, 16 PCs
PPM009413 PGS001814
(portability-PLR_241.2)
PSS009058|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0146 [-0.0168, 0.0459] sex, age, birth date, deprivation index, 16 PCs
PPM009414 PGS001814
(portability-PLR_241.2)
PSS008612|
European Ancestry|
6,363 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0205 [-0.0041, 0.0451] sex, age, birth date, deprivation index, 16 PCs
PPM009415 PGS001814
(portability-PLR_241.2)
PSS008388|
Greater Middle Eastern Ancestry|
1,140 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0211 [-0.0375, 0.0796] sex, age, birth date, deprivation index, 16 PCs
PPM009416 PGS001814
(portability-PLR_241.2)
PSS008166|
South Asian Ancestry|
5,927 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0654 [0.0399, 0.0907] sex, age, birth date, deprivation index, 16 PCs
PPM009417 PGS001814
(portability-PLR_241.2)
PSS007953|
East Asian Ancestry|
1,744 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.025 [-0.0222, 0.0722] sex, age, birth date, deprivation index, 16 PCs
PPM009418 PGS001814
(portability-PLR_241.2)
PSS007734|
African Ancestry|
2,378 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0403 [0.0, 0.0806] sex, age, birth date, deprivation index, 16 PCs
PPM009419 PGS001814
(portability-PLR_241.2)
PSS008837|
African Ancestry|
3,830 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0442 [0.0125, 0.0759] sex, age, birth date, deprivation index, 16 PCs
PPM009412 PGS001814
(portability-PLR_241.2)
PSS009284|
European Ancestry|
19,043 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0277 [0.0135, 0.0419] sex, age, birth date, deprivation index, 16 PCs
PPM009420 PGS001815
(portability-PLR_242)
PSS009285|
European Ancestry|
19,108 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0191 [0.0049, 0.0332] sex, age, birth date, deprivation index, 16 PCs
PPM009421 PGS001815
(portability-PLR_242)
PSS009059|
European Ancestry|
3,938 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0288 [-0.0025, 0.06] sex, age, birth date, deprivation index, 16 PCs
PPM009422 PGS001815
(portability-PLR_242)
PSS008613|
European Ancestry|
6,381 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0232 [-0.0014, 0.0477] sex, age, birth date, deprivation index, 16 PCs
PPM009423 PGS001815
(portability-PLR_242)
PSS008389|
Greater Middle Eastern Ancestry|
1,143 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0026 [-0.0611, 0.0559] sex, age, birth date, deprivation index, 16 PCs
PPM009424 PGS001815
(portability-PLR_242)
PSS008167|
South Asian Ancestry|
5,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0473 [0.0219, 0.0726] sex, age, birth date, deprivation index, 16 PCs
PPM009425 PGS001815
(portability-PLR_242)
PSS007954|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0177 [-0.0294, 0.0647] sex, age, birth date, deprivation index, 16 PCs
PPM009426 PGS001815
(portability-PLR_242)
PSS007735|
African Ancestry|
2,410 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0007 [-0.0408, 0.0394] sex, age, birth date, deprivation index, 16 PCs
PPM009427 PGS001815
(portability-PLR_242)
PSS008838|
African Ancestry|
3,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0182 [-0.0135, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM009430 PGS001816
(portability-PLR_244)
PSS008614|
European Ancestry|
6,601 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1003 [0.0763, 0.1241] sex, age, birth date, deprivation index, 16 PCs
PPM009428 PGS001816
(portability-PLR_244)
PSS009286|
European Ancestry|
19,852 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1192 [0.1054, 0.1329] sex, age, birth date, deprivation index, 16 PCs
PPM009429 PGS001816
(portability-PLR_244)
PSS009060|
European Ancestry|
4,100 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1349 [0.1047, 0.1649] sex, age, birth date, deprivation index, 16 PCs
PPM009431 PGS001816
(portability-PLR_244)
PSS008390|
Greater Middle Eastern Ancestry|
1,186 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1247 [0.0677, 0.1808] sex, age, birth date, deprivation index, 16 PCs
PPM009432 PGS001816
(portability-PLR_244)
PSS008168|
South Asian Ancestry|
6,272 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.11 [0.0854, 0.1344] sex, age, birth date, deprivation index, 16 PCs
PPM009433 PGS001816
(portability-PLR_244)
PSS007955|
East Asian Ancestry|
1,782 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.044 [-0.0027, 0.0905] sex, age, birth date, deprivation index, 16 PCs
PPM009434 PGS001816
(portability-PLR_244)
PSS007736|
African Ancestry|
2,434 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.0033 [-0.0366, 0.0432] sex, age, birth date, deprivation index, 16 PCs
PPM009435 PGS001816
(portability-PLR_244)
PSS008839|
African Ancestry|
3,876 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.0419 [0.0104, 0.0734] sex, age, birth date, deprivation index, 16 PCs
PPM011018 PGS002018
(portability-ldpred2_193)
PSS009279|
European Ancestry|
19,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0295 [0.0157, 0.0434] sex, age, birth date, deprivation index, 16 PCs
PPM011019 PGS002018
(portability-ldpred2_193)
PSS009053|
European Ancestry|
4,120 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.0056 [-0.0362, 0.0251] sex, age, birth date, deprivation index, 16 PCs
PPM011020 PGS002018
(portability-ldpred2_193)
PSS008607|
European Ancestry|
6,640 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0208 [-0.0033, 0.0448] sex, age, birth date, deprivation index, 16 PCs
PPM011021 PGS002018
(portability-ldpred2_193)
PSS008383|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.0107 [-0.0677, 0.0465] sex, age, birth date, deprivation index, 16 PCs
PPM011022 PGS002018
(portability-ldpred2_193)
PSS008161|
South Asian Ancestry|
6,305 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0149 [-0.0098, 0.0396] sex, age, birth date, deprivation index, 16 PCs
PPM011023 PGS002018
(portability-ldpred2_193)
PSS007948|
East Asian Ancestry|
1,801 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): -0.004 [-0.0505, 0.0424] sex, age, birth date, deprivation index, 16 PCs
PPM011024 PGS002018
(portability-ldpred2_193)
PSS007730|
African Ancestry|
2,453 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0184 [-0.0213, 0.0581] sex, age, birth date, deprivation index, 16 PCs
PPM011025 PGS002018
(portability-ldpred2_193)
PSS008833|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyroid cancer Partial Correlation (partial-r): 0.0029 [-0.0286, 0.0343] sex, age, birth date, deprivation index, 16 PCs
PPM011050 PGS002022
(portability-ldpred2_241.2)
PSS009284|
European Ancestry|
19,043 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.024 [0.0098, 0.0382] sex, age, birth date, deprivation index, 16 PCs
PPM011051 PGS002022
(portability-ldpred2_241.2)
PSS009058|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0213 [-0.01, 0.0527] sex, age, birth date, deprivation index, 16 PCs
PPM011052 PGS002022
(portability-ldpred2_241.2)
PSS008612|
European Ancestry|
6,363 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.019 [-0.0056, 0.0436] sex, age, birth date, deprivation index, 16 PCs
PPM011053 PGS002022
(portability-ldpred2_241.2)
PSS008388|
Greater Middle Eastern Ancestry|
1,140 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0214 [-0.0372, 0.0799] sex, age, birth date, deprivation index, 16 PCs
PPM011054 PGS002022
(portability-ldpred2_241.2)
PSS008166|
South Asian Ancestry|
5,927 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0677 [0.0423, 0.0931] sex, age, birth date, deprivation index, 16 PCs
PPM011055 PGS002022
(portability-ldpred2_241.2)
PSS007953|
East Asian Ancestry|
1,744 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0096 [-0.0376, 0.0568] sex, age, birth date, deprivation index, 16 PCs
PPM011056 PGS002022
(portability-ldpred2_241.2)
PSS007734|
African Ancestry|
2,378 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0282 [-0.0122, 0.0685] sex, age, birth date, deprivation index, 16 PCs
PPM011057 PGS002022
(portability-ldpred2_241.2)
PSS008837|
African Ancestry|
3,830 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nontoxic multinodular goiter Partial Correlation (partial-r): 0.0496 [0.0179, 0.0813] sex, age, birth date, deprivation index, 16 PCs
PPM011058 PGS002023
(portability-ldpred2_242)
PSS009285|
European Ancestry|
19,108 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0199 [0.0057, 0.034] sex, age, birth date, deprivation index, 16 PCs
PPM011059 PGS002023
(portability-ldpred2_242)
PSS009059|
European Ancestry|
3,938 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0345 [0.0032, 0.0658] sex, age, birth date, deprivation index, 16 PCs
PPM011060 PGS002023
(portability-ldpred2_242)
PSS008613|
European Ancestry|
6,381 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0195 [-0.0051, 0.044] sex, age, birth date, deprivation index, 16 PCs
PPM011061 PGS002023
(portability-ldpred2_242)
PSS008389|
Greater Middle Eastern Ancestry|
1,143 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0281 [-0.0864, 0.0305] sex, age, birth date, deprivation index, 16 PCs
PPM011062 PGS002023
(portability-ldpred2_242)
PSS008167|
South Asian Ancestry|
5,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0457 [0.0203, 0.0711] sex, age, birth date, deprivation index, 16 PCs
PPM011063 PGS002023
(portability-ldpred2_242)
PSS007954|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.039 [-0.0081, 0.0859] sex, age, birth date, deprivation index, 16 PCs
PPM011064 PGS002023
(portability-ldpred2_242)
PSS007735|
African Ancestry|
2,410 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0027 [-0.0374, 0.0428] sex, age, birth date, deprivation index, 16 PCs
PPM011065 PGS002023
(portability-ldpred2_242)
PSS008838|
African Ancestry|
3,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0172 [-0.0146, 0.0489] sex, age, birth date, deprivation index, 16 PCs
PPM011066 PGS002024
(portability-ldpred2_244)
PSS009286|
European Ancestry|
19,852 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.122 [0.1083, 0.1357] sex, age, birth date, deprivation index, 16 PCs
PPM011067 PGS002024
(portability-ldpred2_244)
PSS009060|
European Ancestry|
4,100 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.143 [0.1128, 0.1729] sex, age, birth date, deprivation index, 16 PCs
PPM011068 PGS002024
(portability-ldpred2_244)
PSS008614|
European Ancestry|
6,601 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1035 [0.0795, 0.1273] sex, age, birth date, deprivation index, 16 PCs
PPM011069 PGS002024
(portability-ldpred2_244)
PSS008390|
Greater Middle Eastern Ancestry|
1,186 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.133 [0.0762, 0.189] sex, age, birth date, deprivation index, 16 PCs
PPM011070 PGS002024
(portability-ldpred2_244)
PSS008168|
South Asian Ancestry|
6,272 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.1186 [0.094, 0.1429] sex, age, birth date, deprivation index, 16 PCs
PPM011071 PGS002024
(portability-ldpred2_244)
PSS007955|
East Asian Ancestry|
1,782 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.047 sex, age, birth date, deprivation index, 16 PCs
PPM011072 PGS002024
(portability-ldpred2_244)
PSS007736|
African Ancestry|
2,434 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.0093 [-0.0306, 0.0492] sex, age, birth date, deprivation index, 16 PCs
PPM011073 PGS002024
(portability-ldpred2_244)
PSS008839|
African Ancestry|
3,876 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Hypothyroidism Partial Correlation (partial-r): 0.0396 [0.0081, 0.0711] sex, age, birth date, deprivation index, 16 PCs
PPM013101 PGS002336
(disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0045 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013150 PGS002336
(disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0111 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013248 PGS002336
(disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0173 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013199 PGS002336
(disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0247 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013116 PGS002351
(disease_THYROID_ANY_SELF_REP.BOLT-LMM)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0032 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013165 PGS002351
(disease_THYROID_ANY_SELF_REP.BOLT-LMM)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013214 PGS002351
(disease_THYROID_ANY_SELF_REP.BOLT-LMM)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0236 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013263 PGS002351
(disease_THYROID_ANY_SELF_REP.BOLT-LMM)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0191 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013389 PGS002408
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013438 PGS002408
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013487 PGS002408
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013536 PGS002408
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013404 PGS002423
(disease_THYROID_ANY_SELF_REP.P+T.0.0001)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013453 PGS002423
(disease_THYROID_ANY_SELF_REP.P+T.0.0001)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013502 PGS002423
(disease_THYROID_ANY_SELF_REP.P+T.0.0001)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013551 PGS002423
(disease_THYROID_ANY_SELF_REP.P+T.0.0001)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013585 PGS002457
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013634 PGS002457
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013683 PGS002457
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013732 PGS002457
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013600 PGS002472
(disease_THYROID_ANY_SELF_REP.P+T.0.001)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013649 PGS002472
(disease_THYROID_ANY_SELF_REP.P+T.0.001)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013698 PGS002472
(disease_THYROID_ANY_SELF_REP.P+T.0.001)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013747 PGS002472
(disease_THYROID_ANY_SELF_REP.P+T.0.001)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013781 PGS002506
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013830 PGS002506
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013879 PGS002506
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013928 PGS002506
(disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013796 PGS002521
(disease_THYROID_ANY_SELF_REP.P+T.0.01)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013845 PGS002521
(disease_THYROID_ANY_SELF_REP.P+T.0.01)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013894 PGS002521
(disease_THYROID_ANY_SELF_REP.P+T.0.01)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013943 PGS002521
(disease_THYROID_ANY_SELF_REP.P+T.0.01)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014026 PGS002555
(disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014075 PGS002555
(disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014124 PGS002555
(disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013977 PGS002555
(disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013992 PGS002570
(disease_THYROID_ANY_SELF_REP.P+T.1e-06)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014041 PGS002570
(disease_THYROID_ANY_SELF_REP.P+T.1e-06)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014090 PGS002570
(disease_THYROID_ANY_SELF_REP.P+T.1e-06)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014139 PGS002570
(disease_THYROID_ANY_SELF_REP.P+T.1e-06)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014173 PGS002604
(disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014222 PGS002604
(disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014271 PGS002604
(disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014320 PGS002604
(disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014188 PGS002619
(disease_THYROID_ANY_SELF_REP.P+T.5e-08)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014237 PGS002619
(disease_THYROID_ANY_SELF_REP.P+T.5e-08)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014286 PGS002619
(disease_THYROID_ANY_SELF_REP.P+T.5e-08)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014335 PGS002619
(disease_THYROID_ANY_SELF_REP.P+T.5e-08)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014369 PGS002653
(disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0046 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014418 PGS002653
(disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0129 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014467 PGS002653
(disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0262 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014516 PGS002653
(disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0183 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014384 PGS002668
(disease_THYROID_ANY_SELF_REP.PolyFun-pred)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0034 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014433 PGS002668
(disease_THYROID_ANY_SELF_REP.PolyFun-pred)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0034 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014482 PGS002668
(disease_THYROID_ANY_SELF_REP.PolyFun-pred)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0254 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014531 PGS002668
(disease_THYROID_ANY_SELF_REP.PolyFun-pred)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0186 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014565 PGS002702
(disease_HYPOTHYROIDISM_SELF_REP.SBayesR)
PSS009787|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0043 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014614 PGS002702
(disease_HYPOTHYROIDISM_SELF_REP.SBayesR)
PSS009788|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0117 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014663 PGS002702
(disease_HYPOTHYROIDISM_SELF_REP.SBayesR)
PSS009789|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0206 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014712 PGS002702
(disease_HYPOTHYROIDISM_SELF_REP.SBayesR)
PSS009790|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Hypothyroidism Incremental R2 (full model vs. covariates alone): 0.0139 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014580 PGS002717
(disease_THYROID_ANY_SELF_REP.SBayesR)
PSS009847|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0031 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014629 PGS002717
(disease_THYROID_ANY_SELF_REP.SBayesR)
PSS009848|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014678 PGS002717
(disease_THYROID_ANY_SELF_REP.SBayesR)
PSS009849|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0192 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014727 PGS002717
(disease_THYROID_ANY_SELF_REP.SBayesR)
PSS009850|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Thyroid Incremental R2 (full model vs. covariates alone): 0.0155 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000126 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 32010
[
  • 764 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB
PSS008161 6,305 individuals South Asian India (South Asia) UKB
PSS008166 5,927 individuals South Asian India (South Asia) UKB
PSS008167 5,954 individuals South Asian India (South Asia) UKB
PSS008168 6,272 individuals South Asian India (South Asia) UKB
PSS007730 2,453 individuals African American or Afro-Caribbean Carribean UKB
PSS007734 2,378 individuals African American or Afro-Caribbean Carribean UKB
PSS007735 2,410 individuals African American or Afro-Caribbean Carribean UKB
PSS007736 2,434 individuals African American or Afro-Caribbean Carribean UKB
PSS009279 19,923 individuals European UK (+ Ireland) UKB
PSS009284 19,043 individuals European UK (+ Ireland) UKB
PSS009285 19,108 individuals European UK (+ Ireland) UKB
PSS009286 19,852 individuals European UK (+ Ireland) UKB
PSS008833 3,896 individuals African unspecified Nigeria (West Africa) UKB
PSS008837 3,830 individuals African unspecified Nigeria (West Africa) UKB
PSS008838 3,836 individuals African unspecified Nigeria (West Africa) UKB
PSS008839 3,876 individuals African unspecified Nigeria (West Africa) UKB
PSS004354
[
  • 194 cases
  • , 6,303 controls
]
African unspecified UKB
PSS004355
[
  • 53 cases
  • , 1,651 controls
]
East Asian UKB
PSS004356
[
  • 1,582 cases
  • , 23,323 controls
]
European non-white British ancestry UKB
PSS004357
[
  • 624 cases
  • , 7,207 controls
]
South Asian UKB
PSS004358
[
  • 4,298 cases
  • , 63,127 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000341 Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary)
[
  • 723 cases
  • , 129,556 controls
]
,
46.41 % Male samples
European deCODE
PSS000342 Histologically confirmed papillary or follicular thyroid carcinoma (PTC) patients (including traditional PTC and follicular variant PTC)
[
  • 1,544 cases
  • , 1,593 controls
]
,
26.08 % Male samples
European NR
PSS000343 Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary)
[
  • 534 cases
  • , 407,945 controls
]
,
45.97 % Male samples
European UKB
PSS008383 1,197 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS001025 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 191 cases
  • , 390,998 controls
]
European UKB
PSS008388 1,140 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008389 1,143 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008390 1,186 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS000558 PheCode:193; ICD9CM:193, V10.87; ICD10CM:C73
[
  • 389 cases
  • , 3,881 controls
]
European MGI
PSS000579 PheCode:193; ICD9:193; ICD10:C73
[
  • 161 cases
  • , 1,617 controls
]
European UKB
PSS007948 1,801 individuals East Asian China (East Asia) UKB
PSS007953 1,744 individuals East Asian China (East Asia) UKB
PSS007954 1,754 individuals East Asian China (East Asia) UKB
PSS007955 1,782 individuals East Asian China (East Asia) UKB
PSS004526
[
  • 116 cases
  • , 6,381 controls
]
African unspecified UKB
PSS004527
[
  • 44 cases
  • , 1,660 controls
]
East Asian UKB
PSS004528
[
  • 286 cases
  • , 24,619 controls
]
European non-white British ancestry UKB
PSS004529
[
  • 92 cases
  • , 7,739 controls
]
South Asian UKB
PSS004530
[
  • 805 cases
  • , 66,620 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS001068 Spontaneous hypothyroidism cases and controls were defined using phecodes, which aggregate similar ICD-9-CM and ICD-10-CM. Individuals must have had at least 2 ICD codes for hypothyroidism to be assigned a phecode, and individuals with other thyroid diseases were excluded from the control set. 51,070 individuals European BioVU
PSS001069 All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. Median = 12.0 months
[
  • 42 cases
  • , 519 controls
]
,
44.0 % Male samples
Median = 67.0 years
IQR = [60.0, 74.0] years
European, African unspecified, Asian unspecified, Hispanic or Latin American, NR European = 506, African unspecified = 22, Asian unspecified = 17, Not reported = 6, Hispanic or Latin American = 10 NR Cases and controls were obtained from the Dana-Farber Cancer Institute (DFCI)
PSS001070 All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. of the 744 individuals receiving CPI therapy, 659 were being treated with Anti-PD-(L)1 monotherapy whilst 85 were being treated with Anti-PD-(L)1+CTLA-4 combination therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L.
[
  • 95 cases
  • , 649 controls
]
,
50.94 % Male samples
European, African unspecified, Asian unspecified, Hispanic or Latin American, NR European = 634, African unspecified = 50, Asian unspecified = 36, Not reported = 4, Hispanic or Latin American = 20 MSKCC Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC)
PSS001071 All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. 634 individuals European MSKCC Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC)
PSS003602 All individuals were childhood cancer survivors. Of the 6,414 childhood cancer survivors, 1,374 had received neck radiotherapy (neck-RT) as a form of treatment. Cases were individuals who developed subsequent thyroid cancer (STC). Cases of STC were ascertained by self-report questionnaires and subsequently confirmed by pathology reports. 73 of the 121 STC cases had received neck-RT as a form of childhood cancer treatment, whilst 48 had not. Of the controls, 1,301 had received neck-RT as a form of childhood cancer treatment. Median = 36.5 years
[
  • 121 cases
  • , 6,295 controls
]
,
47.7 % Male samples
European NR
PSS003603 All individuals were childhood cancer survivors. Of the 2,370 childhood cancer survivors, 476 had received neck radiotherapy (neck-RT) as a form of treatment. Cases were individuals who developed subsequent thyroid cancer (STC). Cases of STC were clinically ascertained. 47 of the 65 STC cases had received neck-RT as a form of childhood cancer treatment, whilst 18 had not. Median = 36.6 years
IQR = [30.3, 44.1] years
[
  • 65 cases
  • , 2,305 controls
]
,
53.4 % Male samples
European SJCRH
PSS004555
[
  • 196 cases
  • , 6,301 controls
]
African unspecified UKB
PSS004556
[
  • 61 cases
  • , 1,643 controls
]
East Asian UKB
PSS004557
[
  • 1,684 cases
  • , 23,221 controls
]
European non-white British ancestry UKB
PSS004558
[
  • 653 cases
  • , 7,178 controls
]
South Asian UKB
PSS004559
[
  • 4,577 cases
  • , 62,848 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004560
[
  • 84 cases
  • , 6,413 controls
]
African unspecified UKB
PSS004561
[
  • 32 cases
  • , 1,672 controls
]
East Asian UKB
PSS004562
[
  • 249 cases
  • , 24,656 controls
]
European non-white British ancestry UKB
PSS004563
[
  • 81 cases
  • , 7,750 controls
]
South Asian UKB
PSS004564
[
  • 548 cases
  • , 66,877 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004565
[
  • 127 cases
  • , 6,370 controls
]
African unspecified UKB
PSS004566
[
  • 51 cases
  • , 1,653 controls
]
East Asian UKB
PSS004567
[
  • 334 cases
  • , 24,571 controls
]
European non-white British ancestry UKB
PSS004568
[
  • 107 cases
  • , 7,724 controls
]
South Asian UKB
PSS004569
[
  • 935 cases
  • , 66,490 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009053 4,120 individuals European Poland (NE Europe) UKB
PSS009058 3,930 individuals European Poland (NE Europe) UKB
PSS009059 3,938 individuals European Poland (NE Europe) UKB
PSS009060 4,100 individuals European Poland (NE Europe) UKB
PSS007656
[
  • 15 cases
  • , 6,482 controls
]
African unspecified UKB
PSS007657
[
  • 8 cases
  • , 1,696 controls
]
East Asian UKB
PSS007658
[
  • 57 cases
  • , 24,848 controls
]
European non-white British ancestry UKB
PSS007659
[
  • 13 cases
  • , 7,818 controls
]
South Asian UKB
PSS007660
[
  • 104 cases
  • , 67,321 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009787 6,503 individuals African unspecified UKB
PSS009788 922 individuals East Asian UKB
PSS009790 8,098 individuals South Asian UKB
PSS009789 43,505 individuals European Non-British European UKB
PSS000970 Median = 400.0 days 1,584 individuals European GNEHGI2020Q2
PSS008607 6,640 individuals European Italy (South Europe) UKB
PSS008612 6,363 individuals European Italy (South Europe) UKB
PSS008613 6,381 individuals European Italy (South Europe) UKB
PSS008614 6,601 individuals European Italy (South Europe) UKB
PSS000282 Primary tumor samples from TCGA
[
  • 387 cases
  • , 0 controls
]
Mean = 49.0 years
Sd = 16.0 years
European TCGA
PSS000282
[
  • 0 cases
  • , 13,427 controls
]
European eMERGE
PSS009847 6,503 individuals African unspecified UKB
PSS009848 922 individuals East Asian UKB
PSS009849 43,505 individuals European Non-British European UKB
PSS009850 8,098 individuals South Asian UKB