Generalizing polygenic risk scores from Europeans to Hispanics/Latinos

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 l...

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Vydané v:Genetic epidemiology Ročník 43; číslo 1; s. 50 - 62
Hlavní autori: Grinde, Kelsey E., Qi, Qibin, Thornton, Timothy A., Liu, Simin, Shadyab, Aladdin H., Chan, Kei Hang K., Reiner, Alexander P., Sofer, Tamar
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.02.2019
Predmet:
admixed populations
Alleles
Blood pressure
Computer Simulation
Gene frequency
genetic diversity
Genome-wide association studies
Genome-Wide Association Study
Genomes
Hispanic Americans
Hispanic or Latino - genetics
Humans
Linkage disequilibrium
Linkage Disequilibrium - genetics
Models, Genetic
Multifactorial Inheritance - genetics
Polygenic inheritance
Polymorphism, Single Nucleotide - genetics
Population genetics
Risk Factors
Single-nucleotide polymorphism
Studies
White People - genetics
genetic diversity
admixed populations
linkage disequilibrium
ISSN:0741-0395, 1098-2272, 1098-2272
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0741-0395
1098-2272
1098-2272
DOI:10.1002/gepi.22166