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Paper Details

Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study.
Eur Heart J
13
2023
Author NameAffiliation
Christian DinaNantes Universite, CNRS, INSERM, l'institut du thorax
Aeron M SmallPerelman School of Medicine, University of Pennsylvania
Christian M ShafferVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center
Anna HelgadottirdeCODE genetics/Amgen Inc.
Scott M DamrauerPerelman School of Medicine, University of Pennsylvania
Scott M DamrauerPerelman School of Medicine, University of Pennsylvania
Amélie BonnefondUniversity Lille, Inserm, CNRS, Institut Pasteur de Lille
Amélie BonnefondImperial College London
David O ArnardeCODE genetics/Amgen Inc.
David O ArnarUniversity of Iceland
David O ArnarLandspitali-The National University Hospital of Iceland
Gudmundur ThorgeirssondeCODE genetics/Amgen Inc.
Gudmundur ThorgeirssonUniversity of Iceland
Unnur ThorsteinsdottirdeCODE genetics/Amgen Inc.
Unnur ThorsteinsdottirUniversity of Iceland
Unnur ThorsteinsdottirdeCODE genetics/Amgen Inc.
Unnur ThorsteinsdottirUniversity of Iceland
Daniel F GudbjartssondeCODE genetics/Amgen Inc.
Daniel F GudbjartssonUniversity of Iceland
Kari StefanssondeCODE genetics/Amgen Inc.
Kari StefanssondeCODE genetics/Amgen Inc.
Ole Birger PedersenZealand University Hospital
Christian ErikstrupAarhus University Hospital
Christian ErikstrupAarhus University
Sisse R OstrowskiCopenhagen University Hospital, Rigshospitalet
Sisse R OstrowskiUniversity of Copenhagen
Christopher J O'Donnelland Blood Institute's and Boston University's Framingham Heart Study
Christopher J O'Donnelland Blood Institute's and Boston University's Framingham Heart Study
Matthew J BudoffThe Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Vilmundur GudnasonUniversity of Iceland
Wendy S PostThe Johns Hopkins University School of Medicine
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Mark LathropMcGill University and Genome Quebec Innovation Centre
Mark LathropMcGill University
Mark LathropMcGill University and Genome Quebec Innovation Centre
Mark LathropMcGill University
Jan Gustav SmithClinical Sciences, Lund University, Sweden and Skane University Hospital
Jan Gustav SmithThe Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital
Jan Gustav SmithWallenberg Center for Molecular Medicine and Lund University Diabetes Center
Quinn S WellsVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center
Kari StefanssondeCODE genetics/Amgen Inc.
Kari StefanssonUniversity of Iceland
Kari StefanssondeCODE genetics/Amgen Inc.
Kari StefanssonUniversity of Iceland
Daniel J RaderPerelman School of Medicine, University of Pennsylvania
Robert ClarkeMRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford
James C EngertMcGill University
James C EngertMcGill University Health Centre and Research Institute
James C EngertMcGill University
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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