Trait: hereditary otorhinolaryngologic disease

Trait Information
Identifier MONDO_0018751
Description An instance of otorhinolaryngologic disease that is caused by a modification of the individual's genome. [MONDO: patterns/genetic]
Trait category
Other disease
Synonym genetic otorhinolaryngologic disease
Child trait(s) 2 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 PGS for child terms of "hereditary otorhinolaryngologic disease" in the EFO hierarchy.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS001255
(GBE_HC914)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Otosclerosis (time-to-event) otosclerosis 213
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001255/ScoringFiles/PGS001255.txt.gz
PGS002046
(portability-ldpred2_383)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Otosclerosis otosclerosis 570,308
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002046/ScoringFiles/PGS002046.txt.gz
PGS019086
(TPMI_386.1_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Menieres disease Meniere disease 802,789
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019086/ScoringFiles/PGS019086.txt.gz
PGS019087
(TPMI_386.1_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Menieres disease Meniere disease 939,888
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019087/ScoringFiles/PGS019087.txt.gz
PGS019088
(TPMI_386.1_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Menieres disease Meniere disease 23,220
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019088/ScoringFiles/PGS019088.txt.gz
PGS019089
(TPMI_386.1_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Menieres disease Meniere disease 983,823
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019089/ScoringFiles/PGS019089.txt.gz
PGS019090
(TPMI_386.1_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Menieres disease Meniere disease 987,552
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019090/ScoringFiles/PGS019090.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
PPM008781 PGS001255
(GBE_HC914)
 PSS004702|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE otosclerosis — AUROC: 0.91156 [0.77281, 1.0] R²: 0.29139
Incremental AUROC (full-covars): 0.03981
PGS R2 (no covariates): 0.06779
PGS AUROC (no covariates): 0.7376 [0.46621, 1.0]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008782 PGS001255
(GBE_HC914)
 PSS004703|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE otosclerosis — AUROC: 0.66807 [0.58985, 0.74629] R²: 0.03365
Incremental AUROC (full-covars): 0.05467
PGS R2 (no covariates): 0.01522
PGS AUROC (no covariates): 0.62631 [0.54794, 0.70468]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008783 PGS001255
(GBE_HC914)
 PSS004704|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE otosclerosis — AUROC: 0.71231 [0.61511, 0.80951] R²: 0.04349
Incremental AUROC (full-covars): 0.03275
PGS R2 (no covariates): 0.00824
PGS AUROC (no covariates): 0.59763 [0.48884, 0.70642]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008784 PGS001255
(GBE_HC914)
 PSS004705|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE otosclerosis — AUROC: 0.6532 [0.60975, 0.69665] R²: 0.02085
Incremental AUROC (full-covars): 0.05946
PGS R2 (no covariates): 0.01341
PGS AUROC (no covariates): 0.6319 [0.58724, 0.67656]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM011232 PGS002046
(portability-ldpred2_383)
 PSS009309|
European Ancestry|
19,770 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): 0.0182 [0.0043, 0.0321] sex, age, birth date, deprivation index, 16 PCs —
PPM011233 PGS002046
(portability-ldpred2_383)
 PSS009083|
European Ancestry|
4,097 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): 0.0328 [0.0021, 0.0634] sex, age, birth date, deprivation index, 16 PCs —
PPM011234 PGS002046
(portability-ldpred2_383)
 PSS008637|
European Ancestry|
6,611 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): -0.0025 [-0.0266, 0.0217] sex, age, birth date, deprivation index, 16 PCs —
PPM011235 PGS002046
(portability-ldpred2_383)
 PSS008411|
Greater Middle Eastern Ancestry|
1,182 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): 0.0315 [-0.026, 0.0889] sex, age, birth date, deprivation index, 16 PCs —
PPM011236 PGS002046
(portability-ldpred2_383)
 PSS008191|
South Asian Ancestry|
6,238 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): 0.0251 sex, age, birth date, deprivation index, 16 PCs —
PPM011237 PGS002046
(portability-ldpred2_383)
 PSS007756|
African Ancestry|
2,469 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Otosclerosis — — Partial Correlation (partial-r): 0.0104 [-0.0293, 0.0499] sex, age, birth date, deprivation index, 16 PCs —
PPM037268 PGS019086
(TPMI_386.1_Lassosum2)
 PSS012984|
East Asian Ancestry|
17,579 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Menieres disease — AUROC: 0.61707 R²: 0.01248 sex, age, array, PCs 1-10 —
PPM037269 PGS019087
(TPMI_386.1_LDpred2)
 PSS012983|
East Asian Ancestry|
17,579 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Menieres disease — AUROC: 0.61731 R²: 0.01262 sex, age, array, PCs 1-10 —
PPM037270 PGS019088
(TPMI_386.1_MegaPRS)
 PSS012985|
East Asian Ancestry|
17,579 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Menieres disease — AUROC: 0.61749 R²: 0.01255 sex, age, array, PCs 1-10 —
PPM037271 PGS019089
(TPMI_386.1_PRS-CS)
 PSS012986|
East Asian Ancestry|
17,579 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Menieres disease — AUROC: 0.61682 R²: 0.01254 sex, age, array, PCs 1-10 —
PPM037272 PGS019090
(TPMI_386.1_SBayesR)
 PSS012987|
East Asian Ancestry|
17,579 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Menieres disease — AUROC: 0.61747 R²: 0.01243 sex, age, array, PCs 1-10 —

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
PSS004702 — —
[
  • 4 cases
  • , 6,493 controls
]
 — African unspecified — UKB —
PSS004703 — —
[
  • 53 cases
  • , 24,852 controls
]
 — European non-white British ancestry UKB —
PSS004704 — —
[
  • 20 cases
  • , 7,811 controls
]
 — South Asian — UKB —
PSS004705 — —
[
  • 156 cases
  • , 67,269 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007756 — — 2,469 individuals — African American or Afro-Caribbean Carribean UKB —
PSS012984 386.0,H81.0, H81.31, H81.39 —
[
  • 398 cases
  • , 17,181 controls
]
,
47.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008637 — — 6,611 individuals — European Italy (South Europe) UKB —
PSS012985 386.0,H81.0, H81.31, H81.39 —
[
  • 398 cases
  • , 17,181 controls
]
,
47.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS009083 — — 4,097 individuals — European Poland (NE Europe) UKB —
PSS009309 — — 19,770 individuals — European UK (+ Ireland) UKB —
PSS012983 386.0,H81.0, H81.31, H81.39 —
[
  • 398 cases
  • , 17,181 controls
]
,
47.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008191 — — 6,238 individuals — South Asian India (South Asia) UKB —
PSS008411 — — 1,182 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS012986 386.0,H81.0, H81.31, H81.39 —
[
  • 398 cases
  • , 17,181 controls
]
,
47.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012987 386.0,H81.0, H81.31, H81.39 —
[
  • 398 cases
  • , 17,181 controls
]
,
47.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —