Trait: IGF-1 measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004627
Description Is the quantification of Insulin-like growth factor 1 (IGF-1), also called somatomedin C. IGF-1 is a hormone similar in molecular structure to insulin. It plays an important role in childhood growth and continues to have anabolic effects in adults. Levels of IGF-1 are known to increase in some cancers.
Trait category
Other measurement
Synonym Insulin-Like Growth Factor 1 levels

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000687
(snpnet.IGF_1)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
IGF-1 [nmol/L] IGF-1 measurement 23,443
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000687/ScoringFiles/PGS000687.txt.gz - Check Terms/Licenses
PGS001960
(portability-PLR_log_IGF1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
IGF-1 IGF-1 measurement 87,149
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001960/ScoringFiles/PGS001960.txt.gz
PGS002178
(portability-ldpred2_log_IGF1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
IGF-1 IGF-1 measurement 817,740
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002178/ScoringFiles/PGS002178.txt.gz
PGS003539
(cont-decay-log_IGF1)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
IGF-1 IGF-1 measurement 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003539/ScoringFiles/PGS003539.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
PPM001415 PGS000687
(snpnet.IGF_1)
PSS000709|
African Ancestry|
5,974 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: IGF-1 [nmol/L] : 0.11454
Spearman's ρ: 0.182
Age, sex, PCs(1-40)
PPM001450 PGS000687
(snpnet.IGF_1)
PSS000710|
East Asian Ancestry|
1,074 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: IGF-1 [nmol/L] : 0.17702
Spearman's ρ: 0.258
Age, sex, PCs(1-40)
PPM001485 PGS000687
(snpnet.IGF_1)
PSS000711|
European Ancestry|
23,453 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: IGF-1 [nmol/L] : 0.22328
Spearman's ρ: 0.362
Age, sex, PCs(1-40)
PPM001520 PGS000687
(snpnet.IGF_1)
PSS000712|
South Asian Ancestry|
7,283 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: IGF-1 [nmol/L] : 0.20212
Spearman's ρ: 0.313
Age, sex, PCs(1-40)
PPM001555 PGS000687
(snpnet.IGF_1)
PSS000713|
European Ancestry|
63,393 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: IGF-1 [nmol/L] : 0.20434
Spearman's ρ: 0.369
Age, sex, PCs(1-40)
PPM007360 PGS000687
(snpnet.IGF_1)
PSS007166|
African Ancestry|
6,058 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: IGF-1 : 0.08755 [0.07443, 0.10068]
Incremental R2 (full-covars): 0.00429
PGS R2 (no covariates): 0.03282 [0.0243, 0.04133]
age, sex, UKB array type, Genotype PCs
PPM007361 PGS000687
(snpnet.IGF_1)
PSS007167|
East Asian Ancestry|
1,609 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: IGF-1 : 0.14261 [0.11193, 0.1733]
Incremental R2 (full-covars): 0.00641
PGS R2 (no covariates): 0.06187 [0.03976, 0.08399]
age, sex, UKB array type, Genotype PCs
PPM007362 PGS000687
(snpnet.IGF_1)
PSS007168|
European Ancestry|
23,653 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: IGF-1 : 0.10834 [0.10105, 0.11562]
Incremental R2 (full-covars): 0.01189
PGS R2 (no covariates): 0.12448 [0.11681, 0.13216]
age, sex, UKB array type, Genotype PCs
PPM007363 PGS000687
(snpnet.IGF_1)
PSS007169|
South Asian Ancestry|
7,373 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: IGF-1 : 0.11511 [0.10181, 0.1284]
Incremental R2 (full-covars): 0.00941
PGS R2 (no covariates): 0.08722 [0.07528, 0.09915]
age, sex, UKB array type, Genotype PCs
PPM007364 PGS000687
(snpnet.IGF_1)
PSS007170|
European Ancestry|
64,106 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: IGF-1 : 0.07984 [0.07592, 0.08377]
Incremental R2 (full-covars): 0.01227
PGS R2 (no covariates): 0.12763 [0.12293, 0.13233]
age, sex, UKB array type, Genotype PCs
PPM010555 PGS001960
(portability-PLR_log_IGF1)
PSS009435|
European Ancestry|
18,901 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3977 [0.3856, 0.4096] sex, age, birth date, deprivation index, 16 PCs
PPM010556 PGS001960
(portability-PLR_log_IGF1)
PSS009209|
European Ancestry|
3,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3641 [0.3366, 0.391] sex, age, birth date, deprivation index, 16 PCs
PPM010557 PGS001960
(portability-PLR_log_IGF1)
PSS008763|
European Ancestry|
6,290 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3719 [0.3503, 0.393] sex, age, birth date, deprivation index, 16 PCs
PPM010558 PGS001960
(portability-PLR_log_IGF1)
PSS008537|
Greater Middle Eastern Ancestry|
1,118 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3755 [0.3236, 0.4253] sex, age, birth date, deprivation index, 16 PCs
PPM010559 PGS001960
(portability-PLR_log_IGF1)
PSS008315|
South Asian Ancestry|
5,961 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3361 [0.3134, 0.3585] sex, age, birth date, deprivation index, 16 PCs
PPM010560 PGS001960
(portability-PLR_log_IGF1)
PSS008092|
East Asian Ancestry|
1,710 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.2886 [0.2443, 0.3317] sex, age, birth date, deprivation index, 16 PCs
PPM010561 PGS001960
(portability-PLR_log_IGF1)
PSS007879|
African Ancestry|
2,328 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.1917 [0.1521, 0.2307] sex, age, birth date, deprivation index, 16 PCs
PPM010562 PGS001960
(portability-PLR_log_IGF1)
PSS008983|
African Ancestry|
3,637 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.2039 [0.1725, 0.2349] sex, age, birth date, deprivation index, 16 PCs
PPM012271 PGS002178
(portability-ldpred2_log_IGF1)
PSS009435|
European Ancestry|
18,901 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3913 [0.3791, 0.4033] sex, age, birth date, deprivation index, 16 PCs
PPM012272 PGS002178
(portability-ldpred2_log_IGF1)
PSS009209|
European Ancestry|
3,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3623 [0.3347, 0.3892] sex, age, birth date, deprivation index, 16 PCs
PPM012273 PGS002178
(portability-ldpred2_log_IGF1)
PSS008763|
European Ancestry|
6,290 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3614 [0.3397, 0.3827] sex, age, birth date, deprivation index, 16 PCs
PPM012275 PGS002178
(portability-ldpred2_log_IGF1)
PSS008315|
South Asian Ancestry|
5,961 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3299 [0.3071, 0.3524] sex, age, birth date, deprivation index, 16 PCs
PPM012276 PGS002178
(portability-ldpred2_log_IGF1)
PSS008092|
East Asian Ancestry|
1,710 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.2809 [0.2364, 0.3242] sex, age, birth date, deprivation index, 16 PCs
PPM012277 PGS002178
(portability-ldpred2_log_IGF1)
PSS007879|
African Ancestry|
2,328 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.1863 [0.1466, 0.2254] sex, age, birth date, deprivation index, 16 PCs
PPM012278 PGS002178
(portability-ldpred2_log_IGF1)
PSS008983|
African Ancestry|
3,637 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.2085 [0.1771, 0.2395] sex, age, birth date, deprivation index, 16 PCs
PPM012274 PGS002178
(portability-ldpred2_log_IGF1)
PSS008537|
Greater Middle Eastern Ancestry|
1,118 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: IGF-1 Partial Correlation (partial-r): 0.3575 [0.3048, 0.408] sex, age, birth date, deprivation index, 16 PCs
PPM017551 PGS003539
(cont-decay-log_IGF1)
PSS010820|
European Ancestry|
3,924 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017467 PGS003539
(cont-decay-log_IGF1)
PSS010904|
European Ancestry|
19,017 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017635 PGS003539
(cont-decay-log_IGF1)
PSS010652|
European Ancestry|
6,139 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017719 PGS003539
(cont-decay-log_IGF1)
PSS010568|
Greater Middle Eastern Ancestry|
1,089 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.12 sex, age, deprivation index, PC1-16
PPM017803 PGS003539
(cont-decay-log_IGF1)
PSS010232|
European Ancestry|
2,227 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.17 sex, age, deprivation index, PC1-16
PPM017887 PGS003539
(cont-decay-log_IGF1)
PSS010484|
South Asian Ancestry|
5,908 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017971 PGS003539
(cont-decay-log_IGF1)
PSS010400|
East Asian Ancestry|
1,699 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM018055 PGS003539
(cont-decay-log_IGF1)
PSS010316|
African Ancestry|
2,316 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018139 PGS003539
(cont-decay-log_IGF1)
PSS010736|
African Ancestry|
3,608 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: IGF-1 partial-R2: 0.04 sex, age, deprivation index, PC1-16

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
PSS010400 1,699 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS007879 2,328 individuals African American or Afro-Caribbean Carribean UKB
PSS008537 1,118 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009435 18,901 individuals European UK (+ Ireland) UKB
PSS000709 5,974 individuals African unspecified UKB
PSS000710 1,074 individuals East Asian UKB
PSS000711 23,453 individuals European Non-British White UKB
PSS000712 7,283 individuals South Asian UKB
PSS000713 63,393 individuals European
(British)
UKB
PSS010820 3,924 individuals,
38.0 % Male samples
Mean = 54.4 years
Sd = 7.5 years
European Polish UKB
PSS010568 1,089 individuals,
60.0 % Male samples
Mean = 51.9 years
Sd = 7.9 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010316 2,316 individuals,
37.0 % Male samples
Mean = 52.5 years
Sd = 8.1 years
African American or Afro-Caribbean Caribbean UKB
PSS009209 3,935 individuals European Poland (NE Europe) UKB
PSS008315 5,961 individuals South Asian India (South Asia) UKB
PSS007166 6,058 individuals African unspecified UKB
PSS007167 1,609 individuals East Asian UKB
PSS007168 23,653 individuals European non-white British ancestry UKB
PSS007169 7,373 individuals South Asian UKB
PSS007170 64,106 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS010736 3,608 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS008983 3,637 individuals African unspecified Nigeria (West Africa) UKB
PSS010484 5,908 individuals,
54.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS008092 1,710 individuals East Asian China (East Asia) UKB
PSS010232 2,227 individuals,
45.0 % Male samples
Mean = 58.1 years
Sd = 7.0 years
European Ashkenazi UKB
PSS008763 6,290 individuals European Italy (South Europe) UKB
PSS010904 19,017 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010652 6,139 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.4 years
European Italian UKB