<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>Illumina OmniExpress v1.0-Illumina GenomeStudio</dataset_type><full_dataset_link>https://ega-archive.org/datasets/EGAD00010000520</full_dataset_link><sample_count>144</sample_count><description>EGA dataset EGAD00010000520</description><repository>EGA</repository><title>Title not provided</title><pubmed_abstract>Expression quantitative trait loci (eQTL) mapping is a widely used tool to study the genetics of gene expression. Confounding factors and the burden of multiple testing limit the ability to map distal trans eQTLs, which is important to understand downstream genetic effects on genes and pathways. We propose a two-stage linear mixed model that first learns local directed gene-regulatory networks to then condition on the expression levels of selected genes. We show that this covariate selection approach controls for confounding factors and regulatory context, thereby increasing eQTL detection power and improving the consistency between studies. GNet-LMM is available at: https://github.com/PMBio/GNetLMM.</pubmed_abstract><pubmed_title>Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.</pubmed_title><pubmed_authors>Rakitsch Barbara B, Stegle Oliver O</pubmed_authors><pubmed_title_synonyms>Psychological, Networks, Transcriptional, Gene., Psychological Power, Regulatory Network, Circuits, Modules, Gene Regulatory, Gene Circuit, Gene Expressions, Gene Module, Professional Power, familial, Gene, Network, Psychological Powers, Expressions, Gene Circuits, Social, genetic, Personal Power, Personal, Gene Modules, Regulatory Networks, Circuit, Gene Networks, Gene Network, Power (Psychology), Transcriptional Networks, Transcriptional Network, Gene Regulatory Network, Professional, inherited genetic, Expression, Social Power, Powers, constitutitional genetic, hereditary, Module, Power</pubmed_title_synonyms><description_synonyms>White, white, Occidental, Caucasian, Whites, Caucasians., Caucasoid, European</description_synonyms><pubmed_abstract_synonyms>well-differentiated neuroendocrine tumors of the stomach, Psychological Power, other disease, Materials, MUTYH-Associated Polyposis, methionine aminopeptidase activity, Professional Power, selection process, developmental stage, MYH-associated polyposis, familial, disorders, autosomal recessive familial adenomatous polyposis, Maps, Gene, Trait Loci, medical condition, Psychological Powers, gastric NET, Quantitative, Cistrons, gastric well differentiated endocrine tumor/carcinoma, SKLMM, Quantitative Trait, Personal, diseases, gastric NET G1/2, heredity, Quantitative Trait Locus, disease or disorder, 2, Genetic Materials, condition, diseases and disorders, Professional, familial adenomatous polyposis, Genetic Material, MAP, peptidase M activity, autosomal recessive, adenomas, Psychological, study, RUTBC3, rabGAPLP, L-methionine aminopeptidase activity, human disease, Gene Expressions, Genetic, familial adenomatous polyposis 2, Hutchison melanotic freckle, RabGAP-5, Trait Locus, INSDC_feature:gene, MYH-Associated Polyposis, Expressions, Locus, gastric neuroendocrine tumor, RABGAP5, autosomal recessive multiple colorectal adenomas, genetic, non-neoplastic, Social, LMM., disease, Personal Power, Material, RUSC3, Loci, multiple colorectal, Power (Psychology), gastric well differentiated endocrine tumor, disorder, MAP syndrome, Cistron, Homo sapiens disease, inherited genetic, stage, Expression, Social Power, Quantitative Trait Loci Genes, GNET, constitutitional genetic, Powers, hereditary, FAP2, Power, colorectal adenomatous polyposis</pubmed_abstract_synonyms></additional><is_claimable>false</is_claimable><name>Oxford_eQTL_cohort_2 - samples</name><description>Healthy volunteer collection of European Ancestry</description><dates><updated>2019-10-31 12:52:10</updated></dates><accession>EGAD00010000520</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>26911988</pubmed><EGA>EGAC01000000009</EGA><EGA>EGAS00000000109</EGA></cross_references></HashMap>