| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_1000627 |
| Description | A disease involving the thyroid gland. | Trait category |
Other disease
|
| Synonyms |
10 synonyms
|
| Mapped terms |
16 mapped terms
|
| Child trait(s) | 7 child traits |
| 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) |
|---|---|---|---|---|---|---|
| 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 |
| PGS001794 (1kgeur_gbmi_leaveUKBBout_ThC_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Thyroid cancer | thyroid carcinoma | 911,462 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001794/ScoringFiles/PGS001794.txt.gz |
| PGS001799 (1kgeur_gbmi_ThC_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Thyroid cancer | thyroid carcinoma | 885,482 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001799/ScoringFiles/PGS001799.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 |
| PGS002766 (Hypothyroidism_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 1,092,122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002766/ScoringFiles/PGS002766.txt.gz |
| PGS003437 (PRS23_TC) |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Thyroid cancer | thyroid carcinoma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003437/ScoringFiles/PGS003437.txt.gz |
| PGS003746 (PRS11_TC) |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Thyroid cancer | thyroid carcinoma | 11 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003746/ScoringFiles/PGS003746.txt.gz | |
| PGS004446 (disease.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004446/ScoringFiles/PGS004446.txt.gz |
| PGS004516 (meta.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004516/ScoringFiles/PGS004516.txt.gz |
| PGS004789 (hypothyroid_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,109,333 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004789/ScoringFiles/PGS004789.txt.gz |
| PGS004790 (hypothyroid_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,841,655 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004790/ScoringFiles/PGS004790.txt.gz |
| PGS004935 (hypothyroidism_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Hypothyroidism | hypothyroidism | 6,127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004935/ScoringFiles/PGS004935.txt.gz |
| PGS004954 (PRS26_TC) |
PGP000676 | Pozdeyev N et al. J Clin Endocrinol Metab (2024) |
Thyroid cancer | thyroid carcinoma | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004954/ScoringFiles/PGS004954.txt.gz |
|
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] |
| PPM017146 | PGS000207 (TC10_Ohio) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |Ext. |
Reported Trait: Thyroid cancer | HR: 1.74 [1.56, 1.94] | AUROC: 0.62 [0.59, 0.64] | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| 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 |
| PPM021099 | PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PSS011527| Multi-ancestry (including European)| 359 individuals |
PGP000610 | Wang JR et al. J Clin Endocrinol Metab (2023) |Ext. |
Reported Trait: BRAFV600E tumor driver subtype in individuals with papillary thyroid carcinoma | OR: 1.51 [1.09, 2.08] | — | — | — | — |
| 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) |
R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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) | — |
| PPM009298 | PGS001794 (1kgeur_gbmi_leaveUKBBout_ThC_pst_eff_a1_b0.5_phiauto) |
PSS007717| European Ancestry| 358,476 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Thyroid cancer | — | AUROC: 0.676 | Nagelkerke's R2 (covariates regressed out): 0.01366 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009315 | PGS001799 (1kgeur_gbmi_ThC_pst_eff_a1_b0.5_phiauto) |
PSS007697| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Thyroid cancer | — | AUROC: 0.685 | Nagelkerke's R2 (covariates regressed out): 0.01036 | sex,age, 20PCs | — |
| 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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014966 | PGS002766 (Hypothyroidism_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | OR: 1.47 [1.43, 1.52] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM017148 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x total moderate to vigorous physical activity interaction | HR: 0.74 [0.57, 0.97] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017149 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x smoke intake interaction | HR: 0.48 [0.32, 0.72] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017145 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Thyroid cancer | HR: 1.95 [1.68, 2.26] | AUROC: 0.64 [0.61, 66.0] | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017147 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x healthy lifestyle interaction | HR: 0.52 [0.37, 0.73] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM018502 | PGS003746 (PRS11_TC) |
PSS010996| European Ancestry| 360 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Thyroid cancer | OR: 1.63 [1.44, 1.85] | — | — | — | — |
| PPM020561 | PGS004446 (disease.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.47851 | — | — | — | — |
| PPM020631 | PGS004516 (meta.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.49623 | — | — | — | — |
| PPM021014 | PGS004789 (hypothyroid_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.041 [0.033, 0.049] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021015 | PGS004790 (hypothyroid_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.042 [0.034, 0.05] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021723 | PGS004935 (hypothyroidism_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Hypothyroidism | OR: 1.5 [1.41, 1.6] | AUROC: 0.7 | — | — | — |
| PPM021769 | PGS004954 (PRS26_TC) |
PSS011791| Multi-ancestry (including European)| 73,346 individuals |
PGP000676 | Pozdeyev N et al. J Clin Endocrinol Metab (2024) |
Reported Trait: Thyroid cancer | — | AUROC: 0.7 | — | Age, sex, genotyping batch, 10 PCs | — |
|
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 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS010996 | — | — | 360 individuals | Mean = 48.04 years | European | — | TCGA | — |
| 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 | — |
| PSS007697 | — | — | [
|
— | European | — | CanPath | — |
| PSS007717 | — | — | [
|
— | European | — | 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 | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| 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 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004355 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004356 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004357 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004358 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS011527 | — | — | 245 individuals | — | European | — | TCGA | — |
| PSS011527 | — | — | 30 individuals | — | Asian unspecified | — | TCGA | — |
| PSS011527 | — | — | 13 individuals | — | African American or Afro-Caribbean | — | TCGA | — |
| PSS011527 | — | — | 71 individuals | — | Not reported | — | TCGA | — |
| PSS000341 | Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary) | — | [ ,
46.41 % Male samples |
— | European | — | deCODE | — |
| PSS000342 | Histologically confirmed papillary or follicular thyroid carcinoma (PTC) patients (including traditional PTC and follicular variant PTC) | — | [ ,
26.08 % Male samples |
— | European | — | NR | — |
| PSS000343 | Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary) | — | [ ,
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. | — | [
|
— | 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 | — | [
|
— | European | — | MGI | — |
| PSS000579 | PheCode:193; ICD9:193; ICD10:C73 | — | [
|
— | European | — | UKB | — |
| PSS011791 | — | — | 73,346 individuals | — | African American or Afro-Caribbean, Asian unspecified, European, Native American, Not reported | — | CCPM | — |
| PSS010136 | — | — | [
|
— | 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 | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS004526 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004527 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004528 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004529 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004530 | — | — | [
|
— | 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 | [ ,
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. | — | [ ,
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 | [ ,
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 |
[ ,
53.4 % Male samples |
— | European | — | SJCRH | — |
| PSS004555 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004556 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004557 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004558 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004559 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004560 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004561 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004562 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004563 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004564 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004565 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004566 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004567 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004568 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004569 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS007657 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS007658 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS007659 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS007660 | — | — | [
|
— | 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 | — | [
|
Mean = 49.0 years Sd = 16.0 years |
European | — | TCGA | — |
| PSS000282 | — | — | [
|
— | 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 | — |