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Paper Details

A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk.
Cancer Res
42
2018
11q14, 17,121 genes, Candidate Susceptibility Genes, EOC, EOC risk loci, Epithelial Ovarian Cancer, FZD4, GWAS, GWAS loci, RNA sequencing, Women, causal genes, cross, epithelial ovarian cancer, genetic loci, loci, noncoding regions, women
Author NameAffiliation
Yingchang LuVanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine
Alicia Beeghly-FadielVanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine
Bingshan LiVanderbilt University Medical Center
Joellen M SchildkrautUniversity of Virginia
Hae Kyung ImUniversity of Chicago
Jennifer B PermuthMoffitt Cancer Center
Jennifer B PermuthMoffitt Cancer Center
Jamie K TeerMoffitt Cancer Center
Jamie K TeerMoffitt Cancer Center
Irene L AndrulisFred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital
Irene L AndrulisUniversity of Toronto
Irene L AndrulisFred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital
Irene L AndrulisUniversity of Toronto
Hoda Anton-CulverGenetic Epidemiology Research Institute, University of California Irvine
Hoda Anton-CulverGenetic Epidemiology Research Institute, University of California Irvine
Elisa V BanderaRutgers Cancer Institute of New Jersey
Javier Ben??tezSpanish National Cancer Research Centre
Javier Ben??tez
James D BrentonCancer Research UK Cambridge Institute, University of Cambridge
Ian G CampbellPeter MacCallum Cancer Center
Ian G CampbellThe University of Melbourne
Ian G CampbellThe University of Melbourne
Jenny Chang-ClaudeGerman Cancer Research Center (DKFZ)
Jenny Chang-ClaudeUniversity Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf
Fergus J CouchMayo Clinic
Fergus J CouchMayo Clinic
Anna DeFazioThe Westmead Institute for Medical Research, The University of Sydney
Anna DeFazioWestmead Hospital
Anna DeFazioThe Westmead Institute for Medical Research, The University of Sydney
Anna DeFazioWestmead Hospital
Susan M DomchekAbramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania
Douglas F EastonUniversity of Cambridge
Douglas F EastonUniversity of Cambridge
Peter A FaschingUniversity Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN
Peter A FaschingDavid Geffen School of Medicine, University of California at Los Angeles
Ren??e T FortnerGerman Cancer Research Center (DKFZ)
Judy E GarberCancer Risk and Prevention Clinic, Dana-Farber Cancer Institute
Graham G Giles
Graham G GilesMonash University
Graham G GilesThe University of Melbourne
David E GoldgarHuntsman Cancer Institute, University of Utah School of Medicine
David E GoldgarHuntsman Cancer Institute, University of Utah School of Medicine
Marc T GoodmanSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center
Marc T GoodmanCommunity and Population Health Research Institute, Cedars-Sinai Medical Center
Jacek GronwaldPomeranian Medical University
Jacek GronwaldPomeranian Medical University
Peter J HulickCenter for Medical Genetics, NorthShore University HealthSystem
Peter J HulickThe University of Chicago Pritzker School of Medicine
Peter J HulickCenter for Medical Genetics, NorthShore University HealthSystem
Peter J HulickThe University of Chicago Pritzker School of Medicine
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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