<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wong C</submitter><funding>Cancer Research Society</funding><funding>NCI NIH HHS</funding><pagination>e1008344</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6742418</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(8)</volume><pubmed_abstract>Pancreatic adenocarcinoma (PC) is a lethal malignancy that is familial or associated with genetic syndromes in 10% of cases. Gene-based surveillance strategies for at-risk individuals may improve clinical outcomes. However, familial PC (FPC) is plagued by genetic heterogeneity and the genetic basis for the majority of FPC remains elusive, hampering the development of gene-based surveillance programs. The study was powered to identify genes with a cumulative pathogenic variant prevalence of at least 3%, which includes the most prevalent PC susceptibility gene, BRCA2. Since the majority of known PC susceptibility genes are involved in DNA repair, we focused on genes implicated in these pathways. We performed a region-based association study using the Mixed-Effects Score Test, followed by lea</pubmed_abstract><journal>PLoS genetics</journal><pubmed_title>A region-based gene association study combined with a leave-one-out sensitivity analysis identifies SMG1 as a pancreatic cancer susceptibility gene.</pubmed_title><pmcid>PMC6742418</pmcid><funding_grant_id>22504</funding_grant_id><funding_grant_id>P50 CA102701</funding_grant_id><funding_grant_id>R01 CA097075</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>P20 CA102701</funding_grant_id><funding_grant_id>P50 CA062924</funding_grant_id><pubmed_authors>Borgida A</pubmed_authors><pubmed_authors>Zogopoulos G</pubmed_authors><pubmed_authors>Chen F</pubmed_authors><pubmed_authors>Olson SH</pubmed_authors><pubmed_authors>Holter S</pubmed_authors><pubmed_authors>Klein AP</pubmed_authors><pubmed_authors>Rustgi AK</pubmed_authors><pubmed_authors>Cuggia A</pubmed_authors><pubmed_authors>Alzheimer’s Disease Neuroimaging Initiative</pubmed_authors><pubmed_authors>Wong C</pubmed_authors><pubmed_authors>Roberts NJ</pubmed_authors><pubmed_authors>Greenwood CMT</pubmed_authors><pubmed_authors>Alirezaie N</pubmed_authors><pubmed_authors>Domecq C</pubmed_authors><pubmed_authors>Gallinger S</pubmed_authors><pubmed_authors>Brand R</pubmed_authors><pubmed_authors>Akbari MR</pubmed_authors><pubmed_authors>Petersen GM</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Syngal S</pubmed_authors><pubmed_authors>Stoffel E</pubmed_authors><pubmed_authors>Majewski J</pubmed_authors><pubmed_authors>Lenko T</pubmed_authors><pubmed_authors>Cote ML</pubmed_authors></additional><is_claimable>false</is_claimable><name>A region-based gene association study combined with a leave-one-out sensitivity analysis identifies SMG1 as a pancreatic cancer susceptibility gene.</name><description>Pancreatic adenocarcinoma (PC) is a lethal malignancy that is familial or associated with genetic syndromes in 10% of cases. Gene-based surveillance strategies for at-risk individuals may improve clinical outcomes. However, familial PC (FPC) is plagued by genetic heterogeneity and the genetic basis for the majority of FPC remains elusive, hampering the development of gene-based surveillance programs. The study was powered to identify genes with a cumulative pathogenic variant prevalence of at least 3%, which includes the most prevalent PC susceptibility gene, BRCA2. Since the majority of known PC susceptibility genes are involved in DNA repair, we focused on genes implicated in these pathways. We performed a region-based association study using the Mixed-Effects Score Test, followed by lea</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Aug</publication><modification>2025-04-04T22:11:13.955Z</modification><creation>2019-10-03T07:04:36Z</creation></dates><accession>S-EPMC6742418</accession><cross_references><pubmed>31469826</pubmed><doi>10.1371/journal.pgen.1008344</doi></cross_references></HashMap>