Polymorphic short tandem repeats make widespread contributions to blood and serum traits.
Polymorphic short tandem repeats make widespread contributions to blood and serum traits.
复制标题
多态短串联重复序列对血液和血清性状有广泛的影响。
DOI:
10.1016/j.xgen.2023.100458
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发表时间:
2023-12-13
期刊:
影响因子:
--
通讯作者:
Gymrek, Melissa
中科院分区:
文献类型:
--
作者:
Margoliash, Jonathan;Fuchs, Shai;Li, Yang;Zhang, Xuan;Massarat, Arya;Goren, Alon;Gymrek, Melissa
Short tandem repeats (STRs) are genomic regions consisting of repeated sequences of 1–6 bp in succession. Single-nucleotide polymorphism (SNP)-based genome-wide association studies (GWASs) do not fully capture STR effects. To study these effects, we imputed 445,720 STRs into genotype arrays from 408,153 White British UK Biobank participants and tested for association with 44 blood phenotypes. Using two fine-mapping methods, we identify 119 candidate causal STR-trait associations and estimate that STRs account for 5.2%–7.6% of causal variants identifiable from GWASs for these traits. These are among the strongest associations for multiple phenotypes, including a coding CTG repeat associated with apolipoprotein B levels, a promoter CGG repeat with platelet traits, and an intronic poly(A) repeat with mean platelet volume. Our study suggests that STRs make widespread contributions to complex traits, provides stringently selected candidate causal STRs, and demonstrates the need to consider a more complete view of genetic variation in GWASs. A novel framework enables incorporating short tandem repeat variants into GWASs Short tandem repeats comprise 5.2%–7.6% of candidate causal variants for blood traits Stringent fine-mapping identifies 119 candidate causal repeat-trait associations Incorporation of repeats into future GWASs is likely to reveal novel causal variants Margoliash et al. produce a framework for including short tandem repeat (STR) genetic variants in complex trait analysis. Using two fine-mapping methods, they estimate that STRs account for 5.2%–7.6% of causal variants identifiable for the studied traits and highlight 119 candidate causal STR-trait associations, resolving some of the strongest associations for multiple phenotypes. This study suggests that STRs play an important role in complex traits and demonstrates the need to include a more complete set of genetic variation in genome-wide association studies.
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通讯作者:
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