Citations 7

Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status

Genetic Epidemiology | March 2, 2020 | Volume: 44 | Issue: 5 | Pages: 442-468

10.1002/gepi.22288 | PMID 32115800

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.
Height and Body Mass Index as Modifiers of Breast Cancer Risk in BRCA1/2 Mutation Carriers: A Mendelian Randomization Study

JNCI: Journal of the National Cancer Institute | July 3, 2018 | Volume: 111 | Issue: 4 | Pages: 350-364

10.1093/jnci/djy132 | PMID 30312457

Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations

Human Mutation | February 15, 2018 | Volume: 39 | Issue: 5 | Pages: 593-620

10.1002/humu.23406 | PMID 29446198

Association of Type and Location ofBRCA1andBRCA2Mutations With Risk of Breast and Ovarian Cancer

JAMA | April 7, 2015 | Volume: 313 | Issue: 13 | Pages: 1347

10.1001/jama.2014.5985 | PMID 25849179

Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Cancer Epidemiology, Biomarkers & Prevention | October 22, 2014 | Volume: 24 | Issue: 1 | Pages: 308-316

10.1158/1055-9965.epi-14-0532 | PMID 25336561

Abstract Background:BRCA1 and BRCA2 mutation carriers are at substantially increased risk for developing breast and ovarian cancer. The incomplete penetrance coupled with the variable age at diagnosis in carriers of the same mutation suggests the existence of genetic and nongenetic modifying factors. In this study, we evaluated the putative role of variants in many candidate modifier genes. Methods: Genotyping data from 15,252 BRCA1 and 8,211 BRCA2 mutation carriers, for known variants (n = 3,248) located within or around 445 candidate genes, were available through the iCOGS custom-designed array. Breast and ovarian cancer association analysis was performed within a retrospective cohort approach. Results: The observed P values of association ranged between 0.005 and 1.000. None of the variants was significantly associated with breast or ovarian cancer risk in either BRCA1 or BRCA2 mutation carriers, after multiple testing adjustments. Conclusion: There is little evidence that any of the evaluated candidate variants act as modifiers of breast and/or ovarian cancer risk in BRCA1 or BRCA2 mutation carriers. Impact: Genome-wide association studies have been more successful at identifying genetic modifiers of BRCA1/2 penetrance than candidate gene studies. Cancer Epidemiol Biomarkers Prev; 24(1); 308–16. ©2014 AACR.
Common variants of the BRCA1 wild-type allele modify the risk of breast cancer in BRCA1 mutation carriers

Human Molecular Genetics | September 3, 2011 | Volume: 20 | Issue: 23 | Pages: 4732-4747

10.1093/hmg/ddr388 | PMID 21890493

Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

Human Molecular Genetics | May 19, 2011 | Volume: 20 | Issue: 16 | Pages: 3304-3321

10.1093/hmg/ddr226 | PMID 21593217