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Paper Details

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D.
Nat Commun
79
2020
DGKB, T2D, TCF7L2, active regulatory sequences, cell, cell-types, cis-eQTL, cis-eQTLs, genetic variants, human, human pancreatic islets, islet cis-eQTLs, islets, non-coding sequence, stretch enhancers, type 2 diabetes
Author NameAffiliation
Ana ViñuelaUniversity of Geneva Medical School
Ana ViñuelaBiosciences Institute, Newcastle University
Ana Viñuela
Ana ViñuelaInstitute for Genetics and Genomics in Geneva (iGE3), University of Geneva
Martijn van de BuntUniversity of Oxford
Martijn van de BuntOxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust
Martijn van de BuntUniversity of Oxford
Rashmi B PrasadLund University Diabetes Centre, Lund University, Skane University Hospital
Amanda J BennettUniversity of Oxford
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Andrew A BrownUniversity of Geneva Medical School
Andrew A BrownUniversity of Dundee
Andrew A Brown
Andrew A BrownInstitute for Genetics and Genomics in Geneva (iGE3), University of Geneva
Michael R ErdosNational Human Genome Research Institute, National Institutes of Health
Michael R ErdosNational Human Genome Research Institute, National Institutes of Health
João FadistaLund University Diabetes Centre, Lund University, Skane University Hospital
João FadistaFinnish Institute for Molecular Medicine (FIMM), University of Helsinki
João FadistaStatens Serum Institut
Ola HanssonLund University Diabetes Centre, Lund University, Skane University Hospital
Ola HanssonFinnish Institute for Molecular Medicine (FIMM), University of Helsinki
Paul R V JohnsonUniversity of Oxford
Ulrika KrusLund University Diabetes Centre, Lund University, Skane University Hospital
Anubha MahajanUniversity of Oxford
Anubha Mahajan
Narisu NarisuNational Human Genome Research Institute, National Institutes of Health
Nikolay OskolkovLund University Diabetes Centre, Lund University, Skane University Hospital
Anthony J PayneUniversity of Oxford
Michael L Stitzel
Michael L StitzelInstitute for Systems Genomics, University of Connecticut
Michael L Stitzel
Michael L StitzelInstitute for Systems Genomics, University of Connecticut
Ryan P WelchDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Francis S CollinsNational Human Genome Research Institute, National Institutes of Health
Francis S CollinsNational Human Genome Research Institute, National Institutes of Health
Karen L MohlkeUniversity of North Carolina
Anna L GloynUniversity of Oxford
Anna L GloynStanford School of Medicine, Stanford University
Anna L GloynOxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust
Anna L GloynUniversity of Oxford
Laura J ScottDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan ann arbor
Emmanouil T DermitzakisUniversity of Geneva Medical School
Emmanouil T Dermitzakis
Emmanouil T DermitzakisInstitute for Genetics and Genomics in Geneva (iGE3), University of Geneva
Emmanouil T DermitzakisUniversity of Geneva Medical School
Emmanouil T DermitzakisInstitute for Genetics and Genomics in Geneva (iGE3), University of Geneva
Emmanouil T Dermitzakis
Leif GroopLund University Diabetes Centre, Lund University, Skane University Hospital
Leif GroopFinnish Institute for Molecular Medicine (FIMM), University of Helsinki
Stephen C J ParkerUniversity of Michigan ann arbor
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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