Nature Genetics, Год журнала: 2024, Номер 56(7), С. 1386 - 1396
Опубликована: Июнь 17, 2024
Язык: Английский
Nature Genetics, Год журнала: 2024, Номер 56(7), С. 1386 - 1396
Опубликована: Июнь 17, 2024
Язык: Английский
The American Journal of Human Genetics, Год журнала: 2022, Номер 109(1), С. 12 - 23
Опубликована: Янв. 1, 2022
Язык: Английский
Процитировано
235Nature Genetics, Год журнала: 2022, Номер 54(4), С. 450 - 458
Опубликована: Апрель 1, 2022
Язык: Английский
Процитировано
197Nature Genetics, Год журнала: 2022, Номер 54(11), С. 1640 - 1651
Опубликована: Ноя. 1, 2022
Язык: Английский
Процитировано
188EBioMedicine, Год журнала: 2023, Номер 90, С. 104511 - 104511
Опубликована: Март 10, 2023
Язык: Английский
Процитировано
186Nature, Год журнала: 2023, Номер 618(7966), С. 774 - 781
Опубликована: Май 17, 2023
Abstract Polygenic scores (PGSs) have limited portability across different groupings of individuals (for example, by genetic ancestries and/or social determinants health), preventing their equitable use 1–3 . PGS has typically been assessed using a single aggregate population-level statistic R 2 ) 4 , ignoring inter-individual variation within the population. Here, large and diverse Los Angeles biobank 5 (ATLAS, n = 36,778) along with UK Biobank 6 (UKBB, 487,409), we show that accuracy decreases individual-to-individual continuum 7 in all considered populations, even traditionally labelled ‘homogeneous’ ancestries. The decreasing trend is well captured continuous measure distance (GD) from training data: Pearson correlation −0.95 between GD averaged 84 traits. When applying models trained on as white British UKBB to European ATLAS, furthest decile 14% lower relative closest decile; notably, Hispanic Latino American similar performance significantly correlated estimates themselves for 82 traits, further emphasizing importance incorporating interpretation. Our results highlight need move away discrete ancestry clusters towards when considering PGSs.
Язык: Английский
Процитировано
156Nature Reviews Genetics, Год журнала: 2022, Номер 23(9), С. 524 - 532
Опубликована: Март 30, 2022
Язык: Английский
Процитировано
133Nature Reviews Genetics, Год журнала: 2023, Номер 25(1), С. 8 - 25
Опубликована: Авг. 24, 2023
Язык: Английский
Процитировано
132Nature Medicine, Год журнала: 2023, Номер 29(7), С. 1793 - 1803
Опубликована: Июль 1, 2023
Abstract Identification of individuals at highest risk coronary artery disease (CAD)—ideally before onset—remains an important public health need. Prior studies have developed genome-wide polygenic scores to enable stratification, reflecting the substantial inherited component CAD risk. Here we develop a new and significantly improved score for CAD, termed GPS Mult , that incorporates association data across five ancestries (>269,000 cases >1,178,000 controls) ten factors. strongly associated with prevalent (odds ratio per standard deviation 2.14, 95% confidence interval 2.10–2.19, P < 0.001) in UK Biobank participants European ancestry, identifying 20.0% population 3-fold increased conversely 13.9% decreased as compared those middle quintile. was also incident events (hazard 1.73, 1.70–1.76, 0.001), 3% healthy future equivalent existing improving discrimination reclassification. Across multiethnic, external validation datasets inclusive 33,096, 124,467, 16,433 16,874 African, European, Hispanic South Asian respectively, demonstrated strength associations all outperformed available previously published scores. These contribute field provide generalizable framework how large-scale integration genetic related traits from diverse populations can meaningfully improve prediction.
Язык: Английский
Процитировано
123Nature Reviews Cardiology, Год журнала: 2021, Номер 19(5), С. 291 - 301
Опубликована: Ноя. 22, 2021
Язык: Английский
Процитировано
113Genome Medicine, Год журнала: 2022, Номер 14(1)
Опубликована: Июнь 28, 2022
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 scores (PRS) have shown promise to complement established clinical intervention paradigms, improve early diagnosis prevention T2D. However, date, T2D PRS been most widely developed validated in individuals European descent. Comprehensive assessment non-European populations critical for equitable deployment practice benefits global populations. Methods We integrated GWAS European, African, East Asian construct trans-ancestry using newly Bayesian modeling method, assessed the prediction accuracy multi-ethnic Electronic Medical Records Genomics (eMERGE) study (11,945 cases; 57,694 controls), four Black cohorts (5137 9657 Taiwan Biobank (4570 84,996 controls). additionally evaluated post hoc ancestry adjustment method can express on same scale across ancestrally diverse facilitate implementation prospective cohorts. Results The was significantly associated with status ancestral groups examined. top 2% distribution identify an approximately 2.5–4.5-fold increase risk, which corresponds increased first-degree relatives. eliminated major distributional differences ancestries without compromising its predictive performance. Conclusions By integrating from multiple populations, we PRS, demonstrated potential as meaningful index among patients settings. Our efforts represent first step towards into routine healthcare.
Язык: Английский
Процитировано
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