INTRODUCTION: We investigated the effect of genetic variation on gene expression in blood from a cohort of BC survivors. Further, we investigated the associations that were specific for BC survivors by performing identical analyses for a group of healthy women and comparing the results. METHODS: eQTL analysis was performed for 288 BC survivors (full data set). Further, using a subset of the data, eQTL analyses were performed on 288 BC survivors and on 81 healthy women separately and results were compared. RESULTS: A large number of associations were observed for the BC survivors, and the expression of human leukocyte antigen genes was found associated with SNPs in 100 genes. The comparison analyses with healthy women revealed associations occurring specifically in BC survivors, and the genes showed enrichment for immune system processes. CONCLUSIONS: The results suggest that the immune system has a different constitution in BC survivors compared to healthy women.
INTRODUCTION: We investigated the effect of genetic variation on gene expression in blood from a cohort of BC survivors. Further, we investigated the associations that were specific for BC survivors by performing identical analyses for a group of healthy women and comparing the results. METHODS: eQTL analysis was performed for 288 BC survivors (full data set). Further, using a subset of the data, eQTL analyses were performed on 288 BC survivors and on 81 healthy women separately and results were compared. RESULTS: A large number of associations were observed for the BC survivors, and the expression of human leukocyte antigen genes was found associated with SNPs in 100 genes. The comparison analyses with healthy women revealed associations occurring specifically in BC survivors, and the genes showed enrichment for immune system processes. CONCLUSIONS: The results suggest that the immune system has a different constitution in BC survivors compared to healthy women.
Authors: Nicholas B Larson; Shannon McDonnell; Amy J French; Zach Fogarty; John Cheville; Sumit Middha; Shaun Riska; Saurabh Baheti; Asha A Nair; Liang Wang; Daniel J Schaid; Stephen N Thibodeau Journal: Am J Hum Genet Date: 2015-05-14 Impact factor: 11.025
Authors: Qianchuan He; Linglong Kong; Yanhua Wang; Sijian Wang; Timothy A Chan; Eric Holland Journal: Comput Stat Data Anal Date: 2015-10-24 Impact factor: 1.681
Authors: Santhi K Ganesh; Daniel I Chasman; Martin G Larson; Xiuqing Guo; Germain Verwoert; Joshua C Bis; Xiangjun Gu; Albert V Smith; Min-Lee Yang; Yan Zhang; Georg Ehret; Lynda M Rose; Shih-Jen Hwang; George J Papanicolau; Eric J Sijbrands; Kenneth Rice; Gudny Eiriksdottir; Vasyl Pihur; Paul M Ridker; Ramachandran S Vasan; Christopher Newton-Cheh; Leslie J Raffel; Najaf Amin; Jerome I Rotter; Kiang Liu; Lenore J Launer; Ming Xu; Mark Caulfield; Alanna C Morrison; Andrew D Johnson; Dhananjay Vaidya; Abbas Dehghan; Guo Li; Claude Bouchard; Tamara B Harris; He Zhang; Eric Boerwinkle; David S Siscovick; Wei Gao; Andre G Uitterlinden; Fernando Rivadeneira; Albert Hofman; Cristen J Willer; Oscar H Franco; Yong Huo; Jacqueline C M Witteman; Patricia B Munroe; Vilmundur Gudnason; Walter Palmas; Cornelia van Duijn; Myriam Fornage; Daniel Levy; Bruce M Psaty; Aravinda Chakravarti Journal: Am J Hum Genet Date: 2014-06-26 Impact factor: 11.025
Authors: T Maroilley; G Lemonnier; J Lecardonnel; D Esquerré; Y Ramayo-Caldas; M J Mercat; C Rogel-Gaillard; J Estellé Journal: BMC Genomics Date: 2017-12-13 Impact factor: 3.969