Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations
Ge, Tian ; Irvin, Marguerite R ; Patki, Amit ; Srinivasasainagendra, Vinodh ; Lin, Yen-Feng ; Tiwari, Hemant K ; Armstrong, Nicole D ; Benoit, Barbara ; Chen, Chia-Yen ; Choi, Karmel W ... show 10 more
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Authors
Irvin, Marguerite R
Patki, Amit
Srinivasasainagendra, Vinodh
Lin, Yen-Feng
Tiwari, Hemant K
Armstrong, Nicole D
Benoit, Barbara
Chen, Chia-Yen
Choi, Karmel W
Cimino, James J
Davis, Brittney H
Dikilitas, Ozan
Etheridge, Bethany
Feng, Yen-Chen Anne
Gainer, Vivian
Huang, Hailiang
Jarvik, Gail P
Kachulis, Christopher
Kenny, Eimear E
Khan, Atlas
Kiryluk, Krzysztof
Kottyan, Leah
Kullo, Iftikhar J
Lange, Christoph
Lennon, Niall
Leong, Aaron
Malolepsza, Edyta
Miles, Ayme D
Murphy, Shawn
Namjou, Bahram
Narayan, Renuka
O'Connor, Mark J
Pacheco, Jennifer A
Perez, Emma
Rasmussen-Torvik, Laura J
Rosenthal, Elisabeth A
Schaid, Daniel
Stamou, Maria
Udler, Miriam S
Wei, Wei-Qi
Weiss, Scott T
Ng, Maggie C Y
Smoller, Jordan W
Lebo, Matthew S
Meigs, James B
Limdi, Nita A
Karlson, Elizabeth W
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UMass Chan Affiliations
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Abstract
Background: Type 2 diabetes (T2D) is a worldwide scourge caused by both genetic and environmental risk factors that disproportionately afflicts communities of color. Leveraging existing large-scale genome-wide association studies (GWAS), polygenic risk scores (PRS) have shown promise to complement established clinical risk factors and intervention paradigms, and improve early diagnosis and prevention of T2D. However, to date, T2D PRS have been most widely developed and validated in individuals of European descent. Comprehensive assessment of T2D PRS in non-European populations is critical for equitable deployment of PRS to clinical practice that benefits global populations.
Methods: We integrated T2D GWAS in European, African, and East Asian populations to construct a trans-ancestry T2D PRS using a newly developed Bayesian polygenic modeling method, and assessed the prediction accuracy of the PRS in the multi-ethnic Electronic Medical Records and Genomics (eMERGE) study (11,945 cases; 57,694 controls), four Black cohorts (5137 cases; 9657 controls), and the Taiwan Biobank (4570 cases; 84,996 controls). We additionally evaluated a post hoc ancestry adjustment method that can express the polygenic risk on the same scale across ancestrally diverse individuals and facilitate the clinical implementation of the PRS in prospective cohorts.
Results: The trans-ancestry PRS was significantly associated with T2D status across the ancestral groups examined. The top 2% of the PRS distribution can identify individuals with an approximately 2.5-4.5-fold of increase in T2D risk, which corresponds to the increased risk of T2D for first-degree relatives. The post hoc ancestry adjustment method eliminated major distributional differences in the PRS across ancestries without compromising its predictive performance.
Conclusions: By integrating T2D GWAS from multiple populations, we developed and validated a trans-ancestry PRS, and demonstrated its potential as a meaningful index of risk among diverse patients in clinical settings. Our efforts represent the first step towards the implementation of the T2D PRS into routine healthcare.
Source
Ge T, Irvin MR, Patki A, Srinivasasainagendra V, Lin YF, Tiwari HK, Armstrong ND, Benoit B, Chen CY, Choi KW, Cimino JJ, Davis BH, Dikilitas O, Etheridge B, Feng YA, Gainer V, Huang H, Jarvik GP, Kachulis C, Kenny EE, Khan A, Kiryluk K, Kottyan L, Kullo IJ, Lange C, Lennon N, Leong A, Malolepsza E, Miles AD, Murphy S, Namjou B, Narayan R, O'Connor MJ, Pacheco JA, Perez E, Rasmussen-Torvik LJ, Rosenthal EA, Schaid D, Stamou M, Udler MS, Wei WQ, Weiss ST, Ng MCY, Smoller JW, Lebo MS, Meigs JB, Limdi NA, Karlson EW. Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. Genome Med. 2022 Jun 29;14(1):70. doi: 10.1186/s13073-022-01074-2. PMID: 35765100; PMCID: PMC9241245.