<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dey KK</submitter><funding>NHGRI NIH HHS</funding><pagination>100145</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9306342</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2(7)</volume><pubmed_abstract>We assess contributions to autoimmune disease of genes whose regulation is driven by enhancer regions (enhancer-related) and genes that regulate other genes in &lt;i>trans&lt;/i> (candidate master-regulator). We link these genes to SNPs using several SNP-to-gene (S2G) strategies and apply heritability analyses to draw three conclusions about 11 autoimmune/blood-related diseases/traits. First, several characterizations of enhancer-related genes using functional genomics data are informative for autoimmune disease heritability after conditioning on a broad set of regulatory annotations. Second, candidate master-regulator genes defined using &lt;i>trans&lt;/i>-eQTL in blood are also conditionally informative for autoimmune disease heritability. Third, integrating enhancer-related and master-regulator gene sets with protein-protein interaction (PPI) network information magnified their disease signal. The resulting PPI-enhancer gene score produced >2-fold stronger heritability signal and >2-fold stronger enrichment for drug targets, compared with the recently proposed enhancer domain score. In each case, functionally informed S2G strategies produced 4.1- to 13-fold stronger disease signals than conventional window-based strategies.</pubmed_abstract><journal>Cell genomics</journal><pubmed_title>SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease.</pubmed_title><pmcid>PMC9306342</pmcid><funding_grant_id>R00 HG009917</funding_grant_id><funding_grant_id>K99 HG012203</funding_grant_id><funding_grant_id>R35 HG011324</funding_grant_id><pubmed_authors>Price AL</pubmed_authors><pubmed_authors>van de Geijn B</pubmed_authors><pubmed_authors>Nasser J</pubmed_authors><pubmed_authors>Kim SS</pubmed_authors><pubmed_authors>Dey KK</pubmed_authors><pubmed_authors>Gazal S</pubmed_authors><pubmed_authors>Engreitz JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease.</name><description>We assess contributions to autoimmune disease of genes whose regulation is driven by enhancer regions (enhancer-related) and genes that regulate other genes in &lt;i>trans&lt;/i> (candidate master-regulator). We link these genes to SNPs using several SNP-to-gene (S2G) strategies and apply heritability analyses to draw three conclusions about 11 autoimmune/blood-related diseases/traits. First, several characterizations of enhancer-related genes using functional genomics data are informative for autoimmune disease heritability after conditioning on a broad set of regulatory annotations. Second, candidate master-regulator genes defined using &lt;i>trans&lt;/i>-eQTL in blood are also conditionally informative for autoimmune disease heritability. Third, integrating enhancer-related and master-regulator gene sets with protein-protein interaction (PPI) network information magnified their disease signal. The resulting PPI-enhancer gene score produced >2-fold stronger heritability signal and >2-fold stronger enrichment for drug targets, compared with the recently proposed enhancer domain score. In each case, functionally informed S2G strategies produced 4.1- to 13-fold stronger disease signals than conventional window-based strategies.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jul</publication><modification>2024-11-09T16:10:30.159Z</modification><creation>2024-11-09T16:10:30.159Z</creation></dates><accession>S-EPMC9306342</accession><cross_references><pubmed>35873673</pubmed><doi>10.1016/j.xgen.2022.100145</doi></cross_references></HashMap>