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Generalization and fine mapping of red blood cell trait genetic associations to multi‐ethnic populations: The PAGE study
Author(s) -
Hodonsky Chani J.,
Schurmann Claudia,
Schick Ursula M.,
Kocarnik Jonathan,
Tao Ran,
van Rooij Frank J. A.,
Wassel Christina,
Buyske Steve,
Fornage Myriam,
Hindorff Lucia A.,
Floyd James S.,
Ganesh Santhi K.,
Lin DanYu,
North Kari E.,
Reiner Alex P.,
Loos Ruth J. F.,
Kooperberg Charles,
Avery Christy L.
Publication year - 2018
Publication title -
american journal of hematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.456
H-Index - 105
eISSN - 1096-8652
pISSN - 0361-8609
DOI - 10.1002/ajh.25161
Subject(s) - genome wide association study , genetics , locus (genetics) , single nucleotide polymorphism , genetic association , genetic architecture , biology , quantitative trait locus , abo blood group system , ancestry informative marker , population , trait , snp , demography , genotype , gene , sociology , computer science , programming language
Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome‐wide association studies were performed primarily in European‐ or Asian‐ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine‐mapping. Here, we report the first fine‐mapping of 6 correlated (Pearson's r range: |0.04‐0.92|) RBC traits in up to 19 036 African Americans and 19 562 Hispanic/Latino participants of the Population Architecture using Genomics and Epidemiology consortium. Trans‐ethnic meta‐analysis of race/ethnic‐ and study‐specific estimates for approximately 11 000 SNPs flanking 13 previously identified association signals as well as 150 000 additional array‐wide SNPs was performed using inverse‐variance meta‐analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP‐RBC trait associations generalized to the trans‐ethnic study population ( p < 1.7 × 10 −4 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans‐ethnic fine‐mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count ( p = 1.9 × 10 −7 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations.