Paper Details

Paper Title

Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies.

Paper Journal Title

bioRxiv

Paper Citation Count

Paper Publication Year

2023

Bio Mention

Atherosclerosis, HDL, LDL, PBMCs, PWAS, cholesterol, gene, heart disease, high-density lipoprotein cholesterol, humans, low-density lipoprotein cholesterol, peripheral blood mononuclear cells, triglycerides

Mesh Descriptor

Author Name	Affiliation
Daiwei Zhang	Perelman School of Medicine, University of Pennsylvania
Daiwei Zhang	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Boran Gao	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Qidi Feng	Broad Institute of Massachusetts Institute of Technology and Harvard
Qidi Feng	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Ani Manichaikul	Center for Public Health Genomics, University of Virginia
Gina M Peloso	Boston University School of Public Health
Russell P Tracy	Larner College of Medicine, University of Vermont
Peter Durda	Larner College of Medicine, The University of Vermont
Kent D Taylor	The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Yongmei Liu	Duke University Medical Center
W Craig Johnson	University of Washington
Stacey Gabriel	Broad Institute of Massachusetts Institute of Technology and Harvard
Stacey Gabriel	Broad Institute of Massachusetts Institute of Technology and Harvard
Namrata Gupta	Broad Institute of Massachusetts Institute of Technology and Harvard
Joshua D Smith	The University of Washington
Joshua D Smith	The University of Washington
FranÃ§ois Aguet	Broad Institute of Massachusetts Institute of Technology and Harvard
Kristin G Ardlie	Broad Institute of Massachusetts Institute of Technology and Harvard
Thomas W Blackwell	Washington University School of Medicine
Robert E Gerszten	Broad Institute of Massachusetts Institute of Technology and Harvard
Stephen S Rich	Center for Public Health Genomics, University of Virginia
Stephen S Rich	The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Laura J Scott	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Xiang Zhou	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Seunggeun Lee	Seoul National University
Seunggeun Lee	Department of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor

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Dataset	Description	Source Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link
GTEx	The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.	Link

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