Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.440. It has been cited 13 times, with 6 citing works in its 1-hop citation network.
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Base Score Contribution
0.396
From this paper's citation signal
Citation Network Contribution
0.0443
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
Wellcome Trust
Grant: unidentified
unidentified
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Grant: 5U01DK105554-03
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Grant: MR/M004422/1
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National Institutes of Health
Grant: 5R01MH101814-02
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National Institutes of Health
Grant: 1R01MH101820-01
Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease Biology
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Grant: 5R01DK132775-04
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Grant: 1R01DK062370-01A1
Identifying Genes for Type 2 Diabetes: FUSION
National Institutes of Health
Grant: 5R01DK072193-16
Targeted Genetic Analysis of T2D and Quantitative Traits
National Institutes of Health
Grant: 5T32HL129982-07
The Genetic Epidemiology of Heart, Lung, and Blood Traits Training Grant (GenHLB)
UK Research and Innovation
Grant: MR/R023131/1
Genetic and environmental determinants of age-acquired skewed X-inactivation and escape from X-inactivation
National Institutes of Health
Grant: 1F31HL146121-01
Functional annotation of cardiometabolic disease genetic risk variants using adipose open chromatin
National Institutes of Health
Grant: 5UM1DK126185-05
Bridging the gap between type 2 diabetes GWAS and therapeutic targets
National Institutes of Health
Grant: 1R01HG010505-01A1
Methods for Genomic Analysis in Heterogeneous Tissues
National Institutes of Health
Grant: 3U01DK105561-03S1
Functional genetic variants for type 2 diabetes
National Institutes of Health
Grant: 5R01MH101825-02
Statistical analysis of gene expression quantitative trait loci (eQTL)
National Institutes of Health
Grant: 5R01MH090941-02
Methods for high-resolution analysis of genetic effects on gene expression
National Institutes of Health
Grant: 5F31HL154730-03
Analyzing gene expression in adipose tissue to identify candidate genes at cardiometabolic trait GWAS loci
National Institutes of Health
Grant: 5T32GM007092-28
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