<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Glubb DM</submitter><funding>Cancer Research UK</funding><funding>NCATS NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>The Francis Crick Institute</funding><funding>NCI NIH HHS</funding><pagination>64670-64684</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5630285</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(39)</volume><pubmed_abstract>We previously identified associations with ovarian cancer outcome at five genetic loci. To identify putatively causal genetic variants and target genes, we prioritized two ovarian outcome loci (1q22 and 19p12) for further study. Bioinformatic and functional genetic analyses indicated that &lt;i>MEF2D&lt;/i> and &lt;i>ZNF100&lt;/i> are targets of candidate outcome variants at 1q22 and 19p12, respectively. At 19p12, the chromatin interaction of a putative regulatory element with the &lt;i>ZNF100&lt;/i> promoter region correlated with candidate outcome variants. At 1q22, putative regulatory elements enhanced &lt;i>MEF2D&lt;/i> promoter activity and haplotypes containing candidate outcome variants modulated these effects. In a public dataset, &lt;i>MEF2D&lt;/i> and &lt;i>ZNF100&lt;/i> expression were both associated with ovarian</pubmed_abstract><journal>Oncotarget</journal><pubmed_title>Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci.</pubmed_title><pmcid>PMC5630285</pmcid><funding_grant_id>R01 CA076016</funding_grant_id><funding_grant_id>16561</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>UL1 TR000124</funding_grant_id><funding_grant_id>P50 CA159981</funding_grant_id><funding_grant_id>K07 CA080668</funding_grant_id><funding_grant_id>UL1 TR001881</funding_grant_id><funding_grant_id>U19 CA148537</funding_grant_id><funding_grant_id>R01 CA126841</funding_grant_id><funding_grant_id>R01 CA054419</funding_grant_id><funding_grant_id>R01 CA149429</funding_grant_id><funding_grant_id>R01 CA128978</funding_grant_id><funding_grant_id>10119</funding_grant_id><funding_grant_id>R01 CA122443</funding_grant_id><funding_grant_id>P50 CA136393</funding_grant_id><funding_grant_id>P30 CA015083</funding_grant_id><funding_grant_id>P50 CA105009</funding_grant_id><funding_grant_id>U19 CA148065</funding_grant_id><funding_grant_id>R01 CA058598</funding_grant_id><funding_grant_id>U19 CA148112</funding_grant_id><funding_grant_id>M01 RR000056</funding_grant_id><funding_grant_id>10124</funding_grant_id><funding_grant_id>R01 CA095023</funding_grant_id><pubmed_authors>Heitz F</pubmed_authors><pubmed_authors>Gao B</pubmed_authors><pubmed_authors>Dork T</pubmed_authors><pubmed_authors>Paul J</pubmed_authors><pubmed_authors>Kennedy CJ</pubmed_authors><pubmed_authors>Modungo F</pubmed_authors><pubmed_authors>Webb PM</pubmed_authors><pubmed_authors>Pharoah PDP</pubmed_authors><pubmed_authors>Hogdall CK</pubmed_authors><pubmed_authors>Glubb DM</pubmed_authors><pubmed_authors>Winham SJ</pubmed_authors><pubmed_authors>Larson MC</pubmed_authors><pubmed_authors>Tone A</pubmed_authors><pubmed_authors>Bjorge L</pubmed_authors><pubmed_authors>Woo M</pubmed_authors><pubmed_authors>Chenevix-Trench G</pubmed_authors><pubmed_authors>Salvesen HB</pubmed_authors><pubmed_authors>Johnatty SE</pubmed_authors><pubmed_authors>Quinn MCJ</pubmed_authors><pubmed_authors>Moffitt M</pubmed_authors><pubmed_authors>Fasching PA</pubmed_authors><pubmed_authors>Hillemanns P</pubmed_authors><pubmed_authors>Lester J</pubmed_authors><pubmed_authors>Huntsman D</pubmed_authors><pubmed_authors>Thompson PJ</pubmed_authors><pubmed_authors>MacGregor S</pubmed_authors><pubmed_authors>O'Mara TA</pubmed_authors><pubmed_authors>Kjær SK</pubmed_authors><pubmed_authors>Berchuck A</pubmed_authors><pubmed_authors>Grant P</pubmed_authors><pubmed_authors>Karlan BY</pubmed_authors><pubmed_authors>Velez Edwards DR</pubmed_authors><pubmed_authors>Terry KL</pubmed_authors><pubmed_authors>Tyrer JP</pubmed_authors><pubmed_authors>Pejovic T</pubmed_authors><pubmed_authors>Jensen A</pubmed_authors><pubmed_authors>deFazio A</pubmed_authors><pubmed_authors>Benitez J</pubmed_authors><pubmed_authors>Beckmann MW</pubmed_authors><pubmed_authors>Cunningham JM</pubmed_authors><pubmed_authors>Moysich K</pubmed_authors><pubmed_authors>AGO Study Group</pubmed_authors><pubmed_authors>Schildkraut JM</pubmed_authors><pubmed_authors>Durst M</pubmed_authors><pubmed_authors>Cramer DW</pubmed_authors><pubmed_authors>Bernardini M</pubmed_authors><pubmed_authors>Vergote I</pubmed_authors><pubmed_authors>Garcia MJ</pubmed_authors><pubmed_authors>Pfisterer J</pubmed_authors><pubmed_authors>Goodman MT</pubmed_authors><pubmed_authors>Glasspool R</pubmed_authors><pubmed_authors>Lambrechts D</pubmed_authors><pubmed_authors>Hogdall E</pubmed_authors><pubmed_authors>Group A</pubmed_authors><pubmed_authors>Beeghly-Fadiel A</pubmed_authors><pubmed_authors>McCauley BM</pubmed_authors><pubmed_authors>du Bois A</pubmed_authors><pubmed_authors>Goode EL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci.</name><description>We previously identified associations with ovarian cancer outcome at five genetic loci. To identify putatively causal genetic variants and target genes, we prioritized two ovarian outcome loci (1q22 and 19p12) for further study. Bioinformatic and functional genetic analyses indicated that &lt;i>MEF2D&lt;/i> and &lt;i>ZNF100&lt;/i> are targets of candidate outcome variants at 1q22 and 19p12, respectively. At 19p12, the chromatin interaction of a putative regulatory element with the &lt;i>ZNF100&lt;/i> promoter region correlated with candidate outcome variants. At 1q22, putative regulatory elements enhanced &lt;i>MEF2D&lt;/i> promoter activity and haplotypes containing candidate outcome variants modulated these effects. In a public dataset, &lt;i>MEF2D&lt;/i> and &lt;i>ZNF100&lt;/i> expression were both associated with ovarian</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Sep</publication><modification>2026-04-30T14:30:06.171Z</modification><creation>2019-03-27T02:58:22Z</creation></dates><accession>S-EPMC5630285</accession><cross_references><pubmed>29029385</pubmed><doi>10.18632/oncotarget.18501</doi></cross_references></HashMap>