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Paper Details

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci.
Genome Biol
133
2021
GTEx, GWAS loci, RNA, causal genes, human, loci, target genes
Author NameAffiliation
Alvaro N BarbeiraThe University of Chicago
Rodrigo BonazzolaThe University of Chicago
Eric R GamazonVanderbilt University Medical Center
Eric R GamazonUniversity of Cambridge
Eric R GamazonUniversity of Cambridge
Eric R GamazonData Science Institute, Vanderbilt University
Eric R GamazonVanderbilt University Medical Center
Eric R GamazonData Science Institute, Vanderbilt University
Eric R GamazonUniversity of Cambridge
Eric R GamazonUniversity of Cambridge
Yanyu LiangThe University of Chicago
YoSon ParkUniversity of Pennsylvania, Perelman School of Medicine
YoSon ParkUniversity of Pennsylvania, Perelman School of Medicine
YoSon ParkUniversity of Pennsylvania, Perelman School of Medicine
YoSon ParkUniversity of Pennsylvania, Perelman School of Medicine
Sarah Kim-HellmuthMax Planck Institute of Psychiatry
Sarah Kim-HellmuthColumbia University
Sarah Kim-Hellmuth
Gao WangUniversity of Chicago
Zhuoxun JiangThe University of Chicago
Dan ZhouVanderbilt University Medical Center
Farhad HormozdiariThe Broad Institute of MIT and Harvard
Farhad HormozdiariHarvard T.H. Chan School of Public Health
Boxiang LiuStanford University
Abhiram S RaoStanford University
Andrew R HamelThe Broad Institute of MIT and Harvard
Andrew R HamelOcular Genomics Institute, Harvard Medical School
Milton PividoriThe University of Chicago
Milton PividoriThe University of Chicago
François AguetThe Broad Institute of MIT and Harvard
Lisa BastaracheVanderbilt University
Lisa BastaracheCenter for Human Genetics Research, Vanderbilt University School of Medicine
Lisa BastaracheVanderbilt University
Lisa BastaracheCenter for Human Genetics Research, Vanderbilt University School of Medicine
Daniel M JordanIcahn School of Medicine at Mount Sinai
Daniel M JordanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Daniel M JordanInstitute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Daniel M JordanIcahn School of Medicine at Mount Sinai
Daniel M JordanInstitute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Daniel M JordanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Marie VerbanckIcahn School of Medicine at Mount Sinai
Marie VerbanckUniversite de Paris - EA 7 BIOSTM
Marie VerbanckThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Marie VerbanckInstitute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Ron DoIcahn School of Medicine at Mount Sinai
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Ron DoInstitute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Matthew StephensUniversity of Chicago
Matthew StephensUniversity of Chicago
Kristin G ArdlieThe Broad Institute of MIT and Harvard
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Datasets

GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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
GTExThe 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