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Abstract 223: A meta-analysis of genome-wide association studies of multiple myeloma among African Americans

Authors :
Andrew F. Olshan
Thomas G. Martin
Jeffrey A. Zonder
William J. Blot
Carol Ann Huff
Sonja I. Berndt
Seema Singhal
Nalini Janakiraman
Ann Mohrbacher
Edward S. Peters
David Van Den Berg
Laurence N. Kolonel
Michael H. Tomasson
Niels Weinhold
Kristin A. Rand
Jeffrey L. Wolf
Graham A. Colditz
Amie E. Hwang
Jayesh Mehta
David V. Conti
Elad Ziv
John D. Carpten
Loic LeMarchand
Antoinette M. Stroup
Wendy Cozen
Alexander Stram
Christopher A. Haiman
Sikander Ailawadhi
Daniel O. Stram
Robert Z. Orlowski
Gareth J. Morgan
Leon Bernal-Mizrachi
Howard R. Terebelo
Chi Song
Zhaohui Du
Karen Pawlish
Xin Sheng
Ravi Vij
Victor Hom
Cathryn H. Bock
Mark A. Fiala
Wei Zhang
Stephen J. Chanock
Sagar Lonial
Ajay K. Nooka
Source :
Cancer Research. 78:223-223
Publication Year :
2018
Publisher :
American Association for Cancer Research (AACR), 2018.

Abstract

Multiple myeloma (MM) is twice as common in African Americans (AA) compared to European Americans (EA). The reported familial clustering and the elevated MM risk among first-degree relatives of cases implicate genetic susceptibility. Previous genome-wide association studies (GWAS) in EA have identified 16 novel risk loci. In this study, we tested the generalizability of the established risk alleles to AA and conducted a meta-GWAS analysis using two sets of AA to identify additional novel common MM risk variants. In the first study, we genotyped 1,305 incident AA MM cases from the African American Multiple Myeloma Study (AAMMS) using the Illumina HumanCore GWAS array and compared them to 7,078 AA controls from the African Ancestry Prostate Cancer Consortium (AAPC) and African Ancestry Breast Cancer Consortium (AABC) using the Illumina 1M-Duo. In the second study, 95 additional AAMMS cases and 435 AA MM cases from the University of Arkansas for Medical Sciences (UAMS) were genotyped using the Illumina MegaBead Chip and compared to 2,390 AA controls from the Multiethnic Cohort. The Haplotype Reference Consortium (HRC) was used to impute the overlapping typed SNPS from each GWAS case and control set together. Per-allele risk associations were tested for 8,715,278 overlapping genotyped and imputed variants with >1% frequency and >0.8 imputation score using unconditional logistic regression in both sets, and the combined effects were estimated using a fixed-effect meta-analysis. Of the 16 reported risk loci discovered in EA, directional consistency was present for 15 variants; eight of these replicated at nominal significance p Citation Format: Zhaohui Du, Chi Song, Kristin Rand, Niels Weinhold, David Van Den Berg, Amie Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward S. Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William Blot, John David Carpten, Antoinette Stroup, Andrew Olshan, Wei Zhang, African Ancestry Breast & Prostate Consortium, Stephen Chanock, Jayesh Mehta, Graham A. Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Loic LeMarchand, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, Wendy Cozen. A meta-analysis of genome-wide association studies of multiple myeloma among African Americans [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 223.

Details

ISSN :
15387445 and 00085472
Volume :
78
Database :
OpenAIRE
Journal :
Cancer Research
Accession number :
edsair.doi...........677583df5c50b34cff83c5f76fd53e3e