{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Sun X"],"funding":["National Cancer Institute (NCI)","National Cancer Institute (NCI))","NIDDK NIH HHS","National Institute of Diabetes and Digestive and Kidney Diseases","NIEHS NIH HHS","National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)","National Cancer Institute","NCI NIH HHS"],"pagination":["2533-2548"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11293972"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["84(15)"],"pubmed_abstract":["Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead variants in 12 loci rem"],"journal":["Cancer research"],"pubmed_title":["Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer."],"pmcid":["PMC11293972"],"funding_grant_id":["R01 CA097397","R00 CA230205","R21 CA234752","P30 CA008748","R01DK128615","R01 CA235553","P30 ES010126","R01CA129639","R01CA235553","R00CA230205","R01 CA129639","P30 CA086862","R01 DK128615","P30CA008748","U01 CA083178","U01CA083178","R01CA097397","R01 CA202981","R01CA202981","R21CA234752"],"pubmed_authors":["Woods M","Cai Q","Ping J","Garcia-Closas M","Watt GP","Nathanson KL","Liang X","Guo X","Long J","Ambs S","Jia G","Offit K","Oh JH","Mellemkjær L","Palmer JR","Li CI","Troester MA","Chen Y","Gu J","Shu X","Wang X","Haiman CA","Ambrosone CB","John EM","Nemesure B","Reiner AS","Knight JA","Chen J","Shu XO","Bernstein JL","Verma SP","Sandler DP","Derkach A","Huo D","Sun X","Olopade OI","Zheng W","Concannon P","Olshan AF","Press MF","Yang Y","Sanderson M","Buas MF","Pal T","Lynch CF","Hu JJ"],"additional_accession":[]},"is_claimable":false,"name":"Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer.","description":"Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead variants in 12 loci rem","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-06-02T11:58:22.72Z","creation":"2025-04-03T23:22:54.277Z"},"accession":"S-EPMC11293972","cross_references":{"pubmed":["38832928"],"doi":["10.1158/0008-5472.can-23-3854","10.1158/0008-5472.CAN-23-3854"]}}