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Trans-Ethnic Follow-up of Breast Cancer GWAS Hits Using the Preferential Linkage Disequilibrium Approach

Citation

Zhu, Qianqian; Shepherd, Lori; Lunetta, Kathryn L.; Yao, Song; Liu, Qian; Hu, Qiang; Haddad, Stephen A.; Sucheston-Campbell, Lara E.; Bensen, Jeannette T.; & Bandera, Elisa V., et al. (2016). Trans-Ethnic Follow-up of Breast Cancer GWAS Hits Using the Preferential Linkage Disequilibrium Approach. Oncotarget, 7(50), 83160-83176. PMCID: PMC5341253

Abstract

Leveraging population-distinct linkage equilibrium (LD) patterns, trans-ethnic follow-up of variants discovered from genome-wide association studies (GWAS) has proved to be useful in facilitating the identification of bona fide causal variants. We previously developed the preferential LD approach, a novel method that successfully identified causal variants driving the GWAS signals within European-descent populations even when the causal variants were only weakly linked with the GWAS-discovered variants. To evaluate the performance of our approach in a trans-ethnic setting, we applied it to follow up breast cancer GWAS hits identified mostly from populations of European ancestry in African Americans (AA). We evaluated 74 breast cancer GWAS variants in 8,315 AA women from the African American Breast Cancer Epidemiology and Risk (AMBER) consortium. Only 27% of them were associated with breast cancer risk at significance level

URL

http://dx.doi.org/10.18632/oncotarget.13075

Reference Type

Journal Article

Year Published

2016

Journal Title

Oncotarget

Author(s)

Zhu, Qianqian
Shepherd, Lori
Lunetta, Kathryn L.
Yao, Song
Liu, Qian
Hu, Qiang
Haddad, Stephen A.
Sucheston-Campbell, Lara E.
Bensen, Jeannette T.
Bandera, Elisa V.
Rosenberg, Lynn A.
Liu, Song
Haiman, Christopher A.
Olshan, Andrew F.
Palmer, Julie R.
Ambrosone, Christine B.

PMCID

PMC5341253