Generalizing polygenic risk scores from Europeans to Hispanics/Latinos

被引:63
|
作者
Grinde, Kelsey E. [1 ]
Qi, Qibin [2 ]
Thornton, Timothy A. [1 ]
Liu, Simin [3 ]
Shadyab, Aladdin H. [4 ]
Chan, Kei Hang K. [3 ,5 ,6 ]
Reiner, Alexander P. [7 ]
Sofer, Tamar [8 ,9 ]
机构
[1] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[2] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10467 USA
[3] Brown Univ, Dept Epidemiol, Providence, RI 02912 USA
[4] Univ Calif San Diego, Dept Family Med & Publ Hlth, San Diego, CA 92103 USA
[5] City Univ Hong Kong, Dept Biomed Sci, Hong Kong, Peoples R China
[6] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
[7] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, 1124 Columbia St, Seattle, WA 98104 USA
[8] Brigham & Womens Hosp, Div Sleep & Circadian Disorders, 221 Longwood Ave, Boston, MA 02115 USA
[9] Harvard Med Sch, Dept Med, Boston, MA USA
基金
美国国家科学基金会;
关键词
admixed populations; genetic diversity; linkage disequilibrium; GENOME-WIDE ASSOCIATION; GENETIC RISK; LINKAGE DISEQUILIBRIUM; LOCI; METAANALYSIS; PREDICTION; VARIANTS; TRAITS; ARCHITECTURE; PRESSURE;
D O I
10.1002/gepi.22166
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Polygenic risk scores (PRSs) are weighted sums of risk allele counts of single-nucleotide polymorphisms (SNPs) associated with a disease or trait. PRSs are typically constructed based on published results from Genome-Wide Association Studies (GWASs), and the majority of which has been performed in large populations of European ancestry (EA) individuals. Although many genotype-trait associations have generalized across populations, the optimal choice of SNPs and weights for PRSs may differ between populations due to different linkage disequilibrium (LD) and allele frequency patterns. We compare various approaches for PRS construction, using GWAS results from both large EA studies and a smaller study in Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL, n=12,803). We consider multiple approaches for selecting SNPs and for computing SNP weights. We study the performance of the resulting PRSs in an independent study of Hispanics/Latinos from the Women's Health Initiative (WHI, n=3,582). We support our investigation with simulation studies of potential genetic architectures in a single locus. We observed that selecting variants based on EA GWASs generally performs well, except for blood pressure trait. However, the use of EA GWASs for weight estimation was suboptimal. Using non-EA GWAS results to estimate weights improved results.
引用
收藏
页码:50 / 62
页数:13
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