<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yang F</submitter><funding>NIA NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>2513-2520</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8428610</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>37(17)</volume><pubmed_abstract>&lt;h4>Motivation&lt;/h4>Trans-acting expression quantitative trait loci (eQTLs) collectively explain a substantial proportion of expression variation, yet are challenging to detect and replicate since their effects are often individually weak. A large proportion of genetic effects on distal genes are mediated through cis-gene expression. Cis-association (between SNP and cis-gene) and gene-gene correlation conditional on SNP genotype could establish trans-association (between SNP and trans-gene). Both cis-association and gene-gene conditional correlation have effects shared across relevant tissues and conditions, and trans-associations mediated by cis-gene expression also have effects shared across relevant conditions.&lt;h4>Results&lt;/h4>We proposed a Cross-Condition Mediation analysis method (CCmed</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>CCmed: cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression.</pubmed_title><pmcid>PMC8428610</pmcid><funding_grant_id>F31CA239557</funding_grant_id><funding_grant_id>2R01GM108711</funding_grant_id><funding_grant_id>R01 GM108711</funding_grant_id><funding_grant_id>F31 CA239557</funding_grant_id><funding_grant_id>R35 ES028379</funding_grant_id><funding_grant_id>R01 MH110531</funding_grant_id><funding_grant_id>R01 AG063175</funding_grant_id><funding_grant_id>U24 CA210999</funding_grant_id><funding_grant_id>R01 MH116281</funding_grant_id><funding_grant_id>U24 CA210993</funding_grant_id><funding_grant_id>SUB-U24 CA2109993</funding_grant_id><funding_grant_id>R01 CA229618</funding_grant_id><funding_grant_id>R01 MH106575</funding_grant_id><pubmed_authors>Duan J</pubmed_authors><pubmed_authors>Gleason KJ</pubmed_authors><pubmed_authors>Chen LS</pubmed_authors><pubmed_authors>He X</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Yang F</pubmed_authors><pubmed_authors>Pierce BL</pubmed_authors></additional><is_claimable>false</is_claimable><name>CCmed: cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression.</name><description>&lt;h4>Motivation&lt;/h4>Trans-acting expression quantitative trait loci (eQTLs) collectively explain a substantial proportion of expression variation, yet are challenging to detect and replicate since their effects are often individually weak. A large proportion of genetic effects on distal genes are mediated through cis-gene expression. Cis-association (between SNP and cis-gene) and gene-gene correlation conditional on SNP genotype could establish trans-association (between SNP and trans-gene). Both cis-association and gene-gene conditional correlation have effects shared across relevant tissues and conditions, and trans-associations mediated by cis-gene expression also have effects shared across relevant conditions.&lt;h4>Results&lt;/h4>We proposed a Cross-Condition Mediation analysis method (CCmed</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Sep</publication><modification>2025-04-21T18:58:18.568Z</modification><creation>2025-02-18T23:32:27.257Z</creation></dates><accession>S-EPMC8428610</accession><cross_references><pubmed>33647928</pubmed><doi>10.1093/bioinformatics/btab139</doi></cross_references></HashMap>