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

Previous 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...

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Veröffentlicht in:Genetic Epidemiology 2020-03, Vol.44 (5), p.442-468
Hauptverfasser: Wu, L., Long, J.R., Arason, A., Arun, B.K., Auer, P.L., Balmana, J., Barrowdale, D., Benitez, J., Bialkowska, K., Bojesen, S.E., Brauch, H., Briceno, I., Broeks, A., Bruning, T., Burwinkel, B., Caldes, T., Campbell, I., Campa, D., Carter, B.D., Castelao, J.E., Czene, K., Daly, M.B., Hoya, M. de la, Leeneer, K. de, Domchek, S.M., Dork, T., Dwek, M., Ellberg, C., Engel, C., Eriksson, M., Fletcher, O., Fostira, F., Frost, D., Gabrielson, M., Ganz, P.A., Giles, G.G., Glendon, G., Gonzalez-Neira, A., Greene, M.H., Huang, G.M.Q., Imyanitov, E.N., James, P., Jankowitz, R.C., John, E.M., Johnson, N., Joseph, V., Jung, A.R., Khusnutdinova, E., Kiiski, J.I., Lazaro, C., Leslie, G., Lindstrom, S., , W.Y. lo, Mannermaa, A., Manoochehri, M., Martens, J.W.M., Martinez, M.E., Meindl, A., Mulligan, A.M., Nathanson, K.L., Nevanlinna, H., Nevelsteen, I., Nielsen, F.C., Nikitina-Zake, L., Olopade, O.I., Olsson, H., Parsons, M.T., Peixoto, A., Peterlongo, P., Pharoah, P.D.P., Phillips, K.A., Poppe, B., Pradhan, N., Rantala, J., Rennert, G., Risch, H.A., Romero, A., Saloustros, E., Santos, C., Schmidt, M.K., Schmidt, D.F., Sharma, P., Soucy, P., Terry, M.B., Teule, A., Thomassen, M., Thone, K., Thull, D.L., Tischkowitz, M., Toland, A.E., Torres, D., Tung, N.D., Ouweland, A.M.W. van den, Wang, Q., Weinberg, C.R., Weitzel, J.N., Yang, X.H.R., Yannoukakos, D., Easton, D.F., Jiang, X.
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Zusammenfassung:Previous 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.
DOI:10.1002/gepi.22288