From GWAS variant to function: A study of ∼148,000 variants for blood cell traits.
From GWAS variant to function: A study of ∼148,000 variants for blood cell traits.
复制标题
DOI:
10.1016/j.xhgg.2021.100063
复制
发表时间:
2022-01-13
期刊:
影响因子:
--
通讯作者:
Li Y
中科院分区:
文献类型:
--
作者:
Sun Q;Crowley CA;Huang L;Wen J;Chen J;Bao EL;Auer PL;Lettre G;Reiner AP;Sankaran VG;Raffield LM;Li Y
Genome-wide association studies (GWASs) have identified hundreds of thousands of genetic variants associated with complex diseases and traits. However, most variants are noncoding and not clearly linked to genes, making it challenging to interpret these GWAS signals. We present a systematic variant-to-function study, prioritizing the most likely functional elements of the genome for experimental follow-up, for >148,000 variants identified for hematological traits. Specifically, we developed VAMPIRE: Variant Annotation Method Pointing to Interesting Regulatory Effects, an interactive web application implemented in R Shiny. This tool efficiently integrates and displays information from multiple complementary sources, including epigenomic signatures from blood-cell-relevant tissues or cells, functional and conservation summary scores, variant impact on protein and gene expression, chromatin conformation information, as well as publicly available GWAS and phenome-wide association study (PheWAS) results. Leveraging data generated from independently performed functional validation experiments, we demonstrate that our prioritized variants, genes, or variant-gene links are significantly more likely to be experimentally validated. This study not only has important implications for systematic and efficient revelation of functional mechanisms underlying GWAS variants for hematological traits but also provides a prototype that can be adapted to many other complex traits, paving the path for efficient variant-to-function (V2F) analyses. We developed VAMPIRE: Variant Annotation Method Pointing to Interesting Regulatory Effects, an interactive web application implemented in R Shiny. VAMPIRE efficiently integrates and displays information from multiple complementary sources. Using data from various functional experiments, we demonstrated that VAMPIRE-prioritized variants are more likely to play functional roles.
登录
查看更多内容
影响因子:
6
作者:
Crowley C;Yang Y;Qiu Y;Hu B;Abnousi A;Lipiński J;Plewczyński D;Wu D;Won H;Ren B;Hu M;Li Y
通讯作者:
Li Y
影响因子:
46.9
作者:
通讯作者:
--
影响因子:
4
作者:
Liu X;White S;Peng B;Johnson AD;Brody JA;Li AH;Huang Z;Carroll A;Wei P;Gibbs R;Klein RJ;Boerwinkle E
通讯作者:
Boerwinkle E
影响因子:
14.9
作者:
Buniello, Annalisa;MacArthur, Jacqueline A. L.;Parkinson, Helen
通讯作者:
Parkinson, Helen
影响因子:
9.8
作者:
Lloyd-Jones, Luke R.;Holloway, Alexander;Powell, Joseph E.
通讯作者:
Powell, Joseph E.