<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Oetjens MT</submitter><funding>NIGMS NIH HHS</funding><pagination>853-66</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5352965</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(8)</volume><pubmed_abstract>&lt;h4>Aim&lt;/h4>We sought to identify potential pleiotropy involving pharmacogenes.&lt;h4>Methods&lt;/h4>We tested 184 functional variants in 34 pharmacogenes for associations using a custom grouping of International Classification and Disease, Ninth Revision billing codes extracted from deidentified electronic health records of 6892 patients.&lt;h4>Results&lt;/h4>We replicated several associations including ABCG2 (rs2231142) and gout (p = 1.73 × 10(-7); odds ratio [OR]: 1.73; 95% CI: 1.40-2.12); and SLCO1B1 (rs4149056) and jaundice (p = 2.50 × 10(-4); OR: 1.67; 95% CI: 1.27-2.20).&lt;h4>Conclusion&lt;/h4>In this systematic screen for phenotypic associations with functional variants, several novel genotype-phenotype combinations also achieved phenome-wide significance, including SLC15A2 rs1143672 and renal oste</pubmed_abstract><journal>Pharmacogenomics</journal><pubmed_title>Evidence for extensive pleiotropy among pharmacogenes.</pubmed_title><pmcid>PMC5352965</pmcid><funding_grant_id>T32 GM080178</funding_grant_id><pubmed_authors>Bush WS</pubmed_authors><pubmed_authors>Verma A</pubmed_authors><pubmed_authors>Dilks HH</pubmed_authors><pubmed_authors>Kodaman N</pubmed_authors><pubmed_authors>Birdwell K</pubmed_authors><pubmed_authors>Oetjens MT</pubmed_authors><pubmed_authors>Crawford DC</pubmed_authors><pubmed_authors>Pendergrass SA</pubmed_authors><pubmed_authors>Denny JC</pubmed_authors><pubmed_authors>Ritchie MD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evidence for extensive pleiotropy among pharmacogenes.</name><description>&lt;h4>Aim&lt;/h4>We sought to identify potential pleiotropy involving pharmacogenes.&lt;h4>Methods&lt;/h4>We tested 184 functional variants in 34 pharmacogenes for associations using a custom grouping of International Classification and Disease, Ninth Revision billing codes extracted from deidentified electronic health records of 6892 patients.&lt;h4>Results&lt;/h4>We replicated several associations including ABCG2 (rs2231142) and gout (p = 1.73 × 10(-7); odds ratio [OR]: 1.73; 95% CI: 1.40-2.12); and SLCO1B1 (rs4149056) and jaundice (p = 2.50 × 10(-4); OR: 1.67; 95% CI: 1.27-2.20).&lt;h4>Conclusion&lt;/h4>In this systematic screen for phenotypic associations with functional variants, several novel genotype-phenotype combinations also achieved phenome-wide significance, including SLC15A2 rs1143672 and renal oste</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Jun</publication><modification>2026-05-05T19:30:54.269Z</modification><creation>2019-03-27T02:38:45Z</creation></dates><accession>S-EPMC5352965</accession><cross_references><pubmed>27249515</pubmed><doi>10.2217/pgs-2015-0007</doi></cross_references></HashMap>