A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry
Open accessAbstract
Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P < 1 × 10−6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P < .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10−12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.
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Genetic predisposition plays an important role in the initial transformation and is driven by both germline variants and multiple myeloma-specific loci influencing risk.
“Genetic predisposition plays an important role in the initial transformation and is driven by both germline variants and MM-specific loci influencing risk.”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [43]
The Introduction (page unavailable) links familial risk and identified susceptibility loci to a genetic contribution to multiple myeloma risk. The Discussion (page unavailable) says the functional basis of most risk variants remains elusive. The paper therefore supports inherited variation and risk loci influencing susceptibility, but does not establish that they drive the initial transformation. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSome SNPs associated with multiple myeloma and MGUS/SMM are enriched in distinct racial groups, such as African-Americans.
“Importantly some of these SNPs are enriched in distinct racial groups (i.e., African-Americans) and might partially explain the observed racial disparity in incidence of MM.43”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [43]
The Results (page unavailable) report that three MM risk alleles were more common in people of African ancestry than in people of European ancestry, supporting the frequency difference in the citing sentence. The paper does not establish that these differences explain the racial disparity in MM incidence; its Introduction calls the reasons for that disparity unknown. It does not assess MGUS or SMM risk alleles. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThere are reported disparities in occurrence of precursor conditions and multiple myeloma among racial groups.
“The reported disparities in occurrence of precursor conditions and MM among racial groups highlights the role of predisposition and the need for broader cohort studies.”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [43]
The Introduction (page not available) reports that multiple myeloma incidence in the United States is twice as high among people of African ancestry as among those of European ancestry. The paper does not report racial differences in the occurrence of precursor conditions, so that part of the attributed claim is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA list of loci specific to multiple myeloma and MGUS/SMM exists.
“The second group included a list of loci that are specific to multiple myeloma and MGUS/SMM .43-46”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [43]
The Abstract (page not provided) says the study fine-mapped 23 known multiple myeloma susceptibility loci, supporting the existence of myeloma-associated loci. It does not identify loci specific to MGUS or smoldering multiple myeloma; a search for MGUS found no passage addressing them. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThese SNPs might partially explain the observed racial disparity in incidence of multiple myeloma.
“Importantly some of these SNPs are enriched in distinct racial groups (i.e., African-Americans) and might partially explain the observed racial disparity in incidence of MM.43”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [43]
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Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,632 · see citing works
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400 · see citing works
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248 · see citing works
Next-generation genotype imputation service and methods
Das, S., Forer, L., Schönherr, S., Sidore, C., Locke, A. E., Kwong, A., Vrieze, S. I., Chew, E. Y., Levy, S., McGue, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3656 · Cited by 4,190 · see citing works
Ward, L. D., & Kellis, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr917 · Cited by 2,229 · see citing works
Reference-based phasing using the Haplotype Reference Consortium panel
Loh, P.-R., Danecek, P., Palamara, P. F., Fuchsberger, C., A Reshef, Y., K Finucane, H., Schoenherr, S., Forer, L., McCarthy, S., Abecasis, G. R., et al. (2016) · Nature Genetics · doi:10.1038/ng.3679 · Cited by 1,894 · see citing works
Kumar, S. K., Rajkumar, S. V., Kyle, R. A., van Duin, M., Sonneveld, P., Mateos, M., Gay, F., & Anderson, K. C. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.46 · Cited by 1,235 · see citing works
Self-citationVariants in ELL2 influencing immunoglobulin levels associate with multiple myeloma
Swaminathan, B., Þorleifsson, G., Jöud, M., Ali, M., Johnsson, E., Ajore, R., Sulem, P., Halvarsson, B.-M., Eyjolfsson, G. I., Haraldsdóttir, V., et al. (2015) · Nature Communications · doi:10.1038/ncomms8213 · Cited by 1,211 · see citing works
Stegle, O., Parts, L., Piipari, M., Winn, J., & Durbin, R. (2012) · Nature Protocols · doi:10.1038/nprot.2011.457 · Cited by 1,049 · see citing works
RFMix: A Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference
Maples, B. K., Gravel, S., Kenny, E. E., & Bustamante, C. D. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.06.020 · Cited by 900 · see citing works
Admixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men
Freedman, M. L., Haiman, C. A., Patterson, N., McDonald, G. J., Tandon, A., Waliszewska, A., Penney, K., Steen, R. G., Ardlie, K., John, E. M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605832103 · Cited by 612 · see citing works
Self-citationAn overview of STRUCTURE: applications, parameter settings, and supporting software
Porras-Hurtado, L., Ruíz, Y., Santos, C., Phillips, C., Carracedo, Á., & Lareu, M. V. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00098 · Cited by 610 · see citing works
Chakraborty, R., & Weiss, K. (1988) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.85.23.9119 · Cited by 404 · see citing works
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma
Mitchell, J. S., Ni, L., Weinhold, N., Försti, A., Ali, M., van Duin, M., Þorleifsson, G., Johnson, D. C., Chen, B., Halvarsson, B.-M., et al. (2016) · Nature Communications · doi:10.1038/ncomms12050 · Cited by 178 · see citing works
Self-citationMatise, T. C., Ambite, J. L., Buyske, S. G., Carlson, C. S., Cole, S. A., Crawford, D. C., Haiman, C. A., HEISS, G. M., Kooperberg, C. L., Marchand, L. L., et al. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr160 · Cited by 166 · see citing works
Self-citationCommon variation at 3q26.2, 6p21.33, 17p11.2 and 22q13.1 influences multiple myeloma risk
Chubb, D., Weinhold, N., Broderick, P., Chen, B., Johnson, D. C., Försti, A., Vijayakrishnan, J., Migliorini, G., Dobbins, S. E., Holroyd, A., et al. (2013) · Nature Genetics · doi:10.1038/ng.2733 · Cited by 163 · see citing works
Self-citationCommon variation at 3p22.1 and 7p15.3 influences multiple myeloma risk
Broderick, P., Chubb, D., Johnson, D. C., Weinhold, N., Försti, A., Lloyd, A., Olver, B. D., Ma, Y. P., Dobbins, S. E., Walker, B. A., et al. (2011) · Nature Genetics · doi:10.1038/ng.993 · Cited by 160 · see citing works
Self-citationKeen, J., & Moore, H. M. (2015) · Journal of Personalized Medicine · doi:10.3390/jpm5010022 · Cited by 127 · see citing works
Went, M., Sud, A., Försti, A., Halvarsson, B.-M., Weinhold, N., Kimber, S. T., van Duin, M., Þorleifsson, G., Holroyd, A., Johnson, D. C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04989-w · Cited by 113 · see citing works
Self-citationThe CCND1 c.870G>A polymorphism is a risk factor for t(11;14)(q13;q32) multiple myeloma
Weinhold, N., Johnson, D. C., Chubb, D., Chen, B., Försti, A., Hosking, F. J., Broderick, P., Ma, Y. P., Dobbins, S. E., Hose, D., et al. (2013) · Nature Genetics · doi:10.1038/ng.2583 · Cited by 109 · see citing works
Self-citationSarkar, S., Roy, B. C., Hatano, N., Aoyagi, T., Gohji, K., & Kiyama, R. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m204244200 · Cited by 94 · see citing works
Kristinsson, S. Y., Björkholm, M., Goldin, L. R., Blimark, C. H., Mellqvist, U., Wåhlin, A., Turesson, I., & Landgren, O. (2009) · International Journal of Cancer · doi:10.1002/ijc.24514 · Cited by 87 · see citing works
Generalizability of established prostate cancer risk variants in men of A frican ancestry
Han, Y., Signorello, L. B., Strom, S. S., Kittles, R. A., Rybicki, B. A., Stanford, J. L., Goodman, P. J., Berndt, S. I., Carpten, J. D., Casey, G., et al. (2014) · International Journal of Cancer · doi:10.1002/ijc.29066 · Cited by 57 · see citing works
Self-citationHofmann, J. N., Moore, S. C., Lim, U., Park, Y., Baris, D., Hollenbeck, A. R., Matthews, C. E., Gibson, T. M., Hartge, P. A., & Purdue, M. P. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws295 · Cited by 57 · see citing works
VanValkenburg, M. E., Pruitt, G. I., Brill, I. K., Costa, L. J., Ehtsham, M., Justement, I., Innis-Shelton, R. D., Salzman, D. E., Reddy, E. S. P., Godby, K. N., et al. (2015) · Cancer Causes & Control · doi:10.1007/s10552-015-0685-2 · Cited by 51 · see citing works
Birmann, B. M., Neuhouser, M. L., ROSNER, B. A., Albanes, D., Buring, J. E., Giles, G. G., Lan, Q., Lee, I.-M. M., Purdue, M. P., Rothman, N., et al. (2012) · Blood · doi:10.1182/blood-2012-03-417253 · Cited by 50 · see citing works
Self-citationLaw, P., Sud, A., Mitchell, J. S., Henrion, M., Orlando, G., Lenive, O., Broderick, P., Speedy, H. E., Johnson, D. C., Kaiser, M., et al. (2017) · Scientific Reports · doi:10.1038/srep41071 · Cited by 44 · see citing works
Self-citationMedves, S., Duhoux, F. P., Ferrant, A., Toffalini, F., Ameye, G., Libouton, J.-M., Poirel, H. A., & Demoulin, J. (2010) · Leukemia · doi:10.1038/leu.2010.13 · Cited by 42 · see citing works
Smith, P., Nicholson, L. J., Syed, N., Payne, A. M., Hiller, L., Garrone, O., Occelli, M., Gasco, M., & Crook, T. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3052 · Cited by 37 · see citing works
Weinhold, N., Meißner, T., Johnson, D. C., Seckinger, A., Moreaux, J., Försti, A., Chen, B., Nickel, J., Chubb, D., Rawstron, A. C., et al. (2014) · Haematologica · doi:10.3324/haematol.2014.118786 · Cited by 35 · see citing works
Self-citationMultiple Myeloma Mortality in Relation to Obesity Among African Americans
Sonderman, J. S., Bethea, T. N., Kitahara, C. M., Patel, A. V., Harvey, C., Knutsen, S. F., Park, Y., Park, S., Fraser, G. E., Teras, L. R., et al. (2016) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djw120 · Cited by 35 · see citing works
Self-citationA comprehensive examination of breast cancer risk loci in African American women
Feng, Y., Stram, D. O., Rhie, S. K., Millikan, R. C., Ambrosone, C. B., John, E. M., Bernstein, L., Zheng, W., Olshan, A. F., Hu, J. J., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu252 · Cited by 34 · see citing works
Self-citationRand, K. A., Song, C. W., Dean, E. W., Serie, D., Curtin, K. P., Sheng, X., Hu, D., Huff, C. A., Bernal‐Mizrachi, L., Tomasson, M. H., et al. (2016) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-15-1193 · Cited by 30 · see citing works
Self-citationRisk patterns of multiple myeloma in Los Angeles County, 1972–1999 (United States)
Gebregziabher, M., Bernstein, L., Wang, Y., & Cozen, W. (2006) · Cancer Causes & Control · doi:10.1007/s10552-006-0030-x · Cited by 27 · see citing works
Self-citationAli, M., Ajore, R., Wihlborg, A.-K., Niroula, A., Swaminathan, B., Johnsson, E., Stephens, O., Morgan, G. J., Meißner, T., Turesson, I., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04082-2 · Cited by 26 · see citing works
Self-citationFamilial Aggregation of Multiple Myeloma and Central Nervous System Diseases
Grufferman, S., Cohen, H. J., Delzell, E., Morrison, M. W., Schold, S. C., & Moore, J. O. (1989) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1989.tb05495.x · Cited by 23 · see citing works
Multiple Myeloma Following Essential Thrombocythemia
Cobo, F., Cervantes, F., Martinez, C., Salgado, C., Bladé, J., Montserrat, E., & Rozmán, C. (1995) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.3109/10428199509054773 · Cited by 13 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Moss LC, Sheng X, Haiman CA, Conti DV; on hehalf of the African Ancestry Prostate Cancer Consortium and the Ellipse Game-On Consortium. Using Bayes model averaging for admixture mapping. Genet Epidemiol. 2018;42(7):718.
Cited by
Sorted by citations
Malard, F., Neri, P. E., Bahlis, N. J., Terpos, E., Moukalled, N. M., Hungria, V., Manier, S., & Mohty, M. (2024) · Nature Reviews Disease Primers · doi:10.1038/s41572-024-00529-7 · Cited by 368 · see citing works
Hu, Y., Stilp, A. M., McHugh, C., Rao, S., Jain, D., Zheng, X., Lane, J., de Bellefon, S. M., Raffield, L. M., Chen, M., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.04.003 · Cited by 45 · see citing works
Somineni, R. P., Nagpal, S., Venkateswaran, S., Cutler, D. J., Okou, D. T., Haritunians, T., Simpson, C. L., Begum, F., Datta, L. W., Quiros, A., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.02.001 · Cited by 42 · see citing works
Addressing the disparities: the approach to the African American patient with multiple myeloma
Bhutani, M., Blue, B. J., Cole, C. E., Badros, A. Z., Usmani, S. Z., Nooka, A. K., Bernal‐Mizrachi, L., & Mikhael, J. R. (2023) · Blood Cancer Journal · doi:10.1038/s41408-023-00961-0 · Cited by 38 · see citing works
Self-citationMortezaei, Z., & Tavallaei, M. (2021) · Heredity · doi:10.1038/s41437-021-00479-w · Cited by 25 · see citing works
Bhatnagar, B., & Eisfeld, A. (2021) · The Lancet Haematology · doi:10.1016/s2352-3026(21)00303-3 · Cited by 12 · see citing works
A polygenic risk score for multiple myeloma risk prediction
Canzian, F., Piredda, C., Macauda, A., Zawirska, D., Andersen, N. F., Nagler, A., Zaucha, J. M., Mazur, G. J., Dumontet, C., Wątek, M., et al. (2021) · European Journal of Human Genetics · doi:10.1038/s41431-021-00986-8 · Cited by 12 · see citing works
Disparities in multiple myeloma among African Americans
Bhutani, M., Lonial, S., & Mikhael, J. R. (2022) · Journal of the National Medical Association · doi:10.1016/j.jnma.2022.10.001 · Cited by 9 · see citing works
Self-citationEvolution of Multiple Myeloma from a Genomic Perspective
Maura, F., Samur, M., & Munshi, N. (2026) · Blood · doi:10.1182/blood.2024026313 · Cited by 8 · see citing works
Schmidt, T. M., Gahvari, Z. J., & Callander, N. S. (2024) · Clinical Lymphoma Myeloma & Leukemia · doi:10.1016/j.clml.2024.03.008 · Cited by 8 · see citing works
Verma, K. P., Steuer, R. Z., & Edwards, C. V. (2023) · Hemato · doi:10.3390/hemato4040027 · Cited by 7 · see citing works
FaMMily Affairs: Dissecting inherited contributions to multiple myeloma risk
Bodnar, S., Brander, T., Gold, J., Iverson, A. A., Laganà, A., Onel, K., Jagannath, S., Parekh, S. S., & Thibaud, S. (2024) · Seminars in Hematology · doi:10.1053/j.seminhematol.2024.11.006 · Cited by 7 · see citing works
China's potential role in humanitarian assistance
Binder, A., & Conrad, B. (2009) · Cited by 6 · see citing works
Peres, L. C., Hansen, D. K., Maura, F., & Kazandjian, D. G. (2022) · Seminars in Oncology · doi:10.1053/j.seminoncol.2022.01.011 · Cited by 6 · see citing works
Multiple myeloma etiology and treatment
Sadaf, H., Hong, H., Maqbool, M., Emhoff, K. A., Lin, J., Yan, S., Anwer, F., & Zhao, J. (2022) · Journal of Translational Genetics and Genomics · doi:10.20517/jtgg.2021.36 · Cited by 5 · see citing works
Racial Health Disparity and Risk of Multiple Myeloma: Implications for Energy Balance Interventions
Normann, A. J., Wilson, R. L., Matarese, E., Lu, C. A., Ranieri, B. P., Gardiner, J. R., Marinac, C. R., & Dieli-Conwright, C. M. (2025) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-24-0199 · Cited by 4 · see citing works
Teng, X., Wan, J. Y., Gupta, P. K., Li, W., Cozen, W., & Ma, H. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.26787 · Cited by 4 · see citing works
Self-citationMonoclonal Gammopathies in Africa
Bolarinwa, A. B., Odukoya, L. A., Buadi, F. K., Rajkumar, S. V., Kumar, S. K., Vachon, C. M., Paemka, L., Baughn, L. B., & Cook, J. (2025) · Clinical Lymphoma Myeloma & Leukemia · doi:10.1016/j.clml.2025.05.023 · Cited by 3 · see citing works
Racial disparities in multiple myeloma
Tebuka, E., Rambau, P., & Rasche, L. (2025) · Blood Global Hematology · doi:10.1016/j.bglo.2025.100017 · Cited by 3 · see citing works
Staron, A., Zheng, L., Doros, G. D., & Sanchorawala, V. (2022) · Blood Cancer Journal · doi:10.1038/s41408-022-00697-3 · Cited by 2 · see citing works
Exome-wide screening identifies novel rare risk variants for bone mineral density
He, D., Pan, C., Zhao, Y., Wei, W., Qin, X., Cai, Q., Shi, S.-Q., Chu, X., Zhang, N., Jia, Y., et al. (2023) · Osteoporosis International · doi:10.1007/s00198-023-06710-0 · Cited by 2 · see citing works
Disparity in hematological malignancies: From patients to health care professionals
Chen, X., Shukla, M., & Fleur-Lominy, S. S. (2024) · Blood Reviews · doi:10.1016/j.blre.2024.101169 · Cited by 2 · see citing works
Reporting and enrollment disparities in hematologic malignancy trials between 2000–2023
Gong, I. Y., Rafinejad‐Farahani, B., Majeed, H., Soto, M. J., Oza, A. M., Ehrlich, T., Lynch, H. F., Guerra, C. E., Lofters, A., Unger, J. M., et al. (2025) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2025.2579735 · Cited by 1 · see citing works
How researchers are addressing the racial imbalance in multiple myeloma
Willyard, C. (2020) · Nature · doi:10.1038/d41586-020-03228-x · Cited by 1 · see citing works
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Chandhok, N. S., & Sekeres, M. A. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.22.01547
Polygenic Risk Score for Cancer in African Population: A Systematic Review
Rashed, W. M., & Olagunju, A.-R. A. (2025) · Annals of Human Genetics · doi:10.1111/ahg.70016
Junkins, A., Wen, W., Lipworth, L., Han, X., Munro, H. M., Mumma, M. T., Shrubsole, M. J., Zheng, W., Biltibo, E. A., & Sudenga, S. L. (2026) · medRxiv · doi:10.64898/2026.01.02.26343344
Self-citationOpakunle, A., Shan, Y., Huang, Y., Printzis, C., Stanhope, C. T., Stranger, B. E., & Huang, R. S. (2026) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2026.100596
Junkins, A., Wen, W., Lipworth, L., Han, X., Munro, H. M., Mumma, M. T., Shrubsole, M. J., Zheng, W., Biltibo, E. A., & Sudenga, S. L. (2026) · Hematology · doi:10.1080/16078454.2026.2653275
Self-citationCarretero-Fernández, M., Cabrera-Serrano, A. J., Ruiz-Durán, L., Ibáñez, M., Bonilla, M., Mesa, F., Gutiérrez‐Bautista, J. F., Chahboun, R., Reyes‐Zurita, F. J., Martínez‐López, J., et al. (2026) · Translational Oncology · doi:10.1016/j.tranon.2026.102796
Han, J., Liu, H., Arsang-Jang, S., Xu, Z., Rentscher, K. E., Mathison, A., Tschannen, M., Sun, F., Auer, P. L., Kerns, S. L., et al. (2026) · Cells · doi:10.3390/cells15191722
- Authors
- Du, Z., Weinhold, N., Song, G. C., Rand, K. A., Van Den Berg, D. J., Hwang, A. E., Sheng, X., Hom, V., Ailawadhi, S., Nooka, A. K., Singhal, S., Pawlish, K., Peters, E. S., Bock, C., Mohrbacher, A., Stram, A., Berndt, S. I., Blot, W. J., Casey, G., Stevens, V. L., Kittles, R., Goodman, P. J., Diver, W. R., Hennis, A., Nemesure, B., Klein, E. A., Rybicki, B. A., Stanford, J. L., Witte, J. S., Signorello, L., John, E. M., Bernstein, L., Stroup, A. M., Stephens, O. W., Zangari, M., Van Rhee, F., Olshan, A., Zheng, W., Hu, J. J., Ziegler, R., Nyante, S. J., Ingles, S. A., Press, M. F., Carpten, J. D., Chanock, S. J., Mehta, J., Colditz, G. A., Wolf, J., Martin, T. G., Tomasson, M., Fiala, M. A., Terebelo, H., Janakiraman, N., Kolonel, L., Anderson, K. C., Le Marchand, L., Auclair, D., Chiu, B. C.-H., Ziv, E., Stram, D., Vij, R., Bernal-Mizrachi, L., Morgan, G. J., Zonder, J. A., Huff, C. A., Lonial, S., Orlowski, R. Z., Conti, D. V., Haiman, C. A., & Cozen, W.
- Affiliations
- University of Southern California (US)
- University of Arkansas for Medical Sciences (US)
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA;
- Mayo Clinic (US)
- Emory University (US)
- Northwestern University (US)
- New Jersey Department of Health (US)
- Louisiana State University (US)
- Wayne State University (US)
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA;
- National Institutes of Health (US)
- Vanderbilt University Medical Center (US)
- University of Virginia (US)
- American Cancer Society (US)
- City Of Hope National Medical Center (US)
- SWOG Cancer Research Network (US)
- Stony Brook University (US)
- Cleveland Clinic (US)
- Henry Ford Hospital (US)
- Fred Hutch Cancer Center (US)
- University of California, San Francisco (US)
- Stanford Medicine (US)
- Rutgers, The State University of New Jersey (US)
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR;
- University of North Carolina at Chapel Hill (US)
- University of Miami (US)
- Washington University in St. Louis (US)
- University of Iowa (US)
- Ascension Providence Hospital (US)
- University of Hawaii Cancer Center (US)
- Harvard University (US)
- University of Hawaii Cancer Center, Honolulu, HI;
- Multiple Myeloma Research Foundation (US)
- University of Chicago (US)
- Grady Memorial Hospital, Emory University, Atlanta, GA;
- NYU Langone’s Laura and Isaac Perlmutter Cancer Center (US)
- Johns Hopkins University (US)
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Du, Zhaohui
- Weinhold, Niels
- Conti, David V.
- Haiman, Christopher A.
- Cozen, Wendy
- ORCID
- Du, Zhaohui
- Weinhold, Niels
- Rand, Kristin A.
- Hwang, Amie E.
- Sheng, Xin
- Ailawadhi, Sikander
- Nooka, Ajay K.
- Singhal, Seema
- Pawlish, Karen
- Peters, Edward S.
- Bock, Cathryn
- Stram, Alexander
- Berndt, Sonja I.
- Blot, William J.
- Casey, Graham
- Stevens, Victoria L.
- Kittles, Rick
- Goodman, Phyllis J.
- Diver, W. Ryan
- Hennis, Anselm
- Nemesure, Barbara
- Klein, Eric A.
- Rybicki, Benjamin A.
- Stanford, Janet L.
- Witte, John S.
- John, Esther M.
- Bernstein, Leslie
- Stroup, Antoinette M.
- Stephens, Owen W.
- Zangari, Maurizio
- Olshan, Andrew
- Zheng, Wei
- Hu, Jennifer J.
- Ziegler, Regina
- Nyante, Sarah J.
- Ingles, Sue Ann
- Press, Michael F.
- Carpten, John David
- Chanock, Stephen J.
- Colditz, Graham A.
- Wolf, Jeffrey
- Martin, Thomas G.
- Tomasson, Michael
- Fiala, Mark A.
- Terebelo, Howard
- Kolonel, Laurence
- Anderson, Kenneth C.
- Auclair, Daniel
- Chiu, Brian C.-H.
- Ziv, Elad
- Stram, Daniel
- Vij, Ravi
- Morgan, Gareth J.
- Zonder, Jeffrey A.
- Huff, Carol Ann
- Lonial, Sagar
- Orlowski, Robert Z.
- Conti, David V.
- Haiman, Christopher A.
- Cozen, Wendy
- Venue
- Blood Advances
- Publisher
- American Society of Hematology
- Published
- 2020-01-14
- Volume
- 4
- Issue
- 1
- Pages
- 181-190
- ISSN
- 2473-9529 (ISSN-L)
- 2473-9537
- PMC
- PMC6960456
- OpenAlex
- W2998795209
- Cited by
- 31
- References
- 38
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 1
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Blood Advances (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Civil War Book Review (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (UG1CA233163, R01CA092447, UM1CA182883, UG1CA189974, R21CA191896, U01CA182883, R01CA84979, P50CA100707, R01CA084979, R01CA134786, U10CA037429, P50CA171963, U01CA164973, P30CA014089, P30CA006973)
- National Institute of Environmental Health Sciences (P30ES027792)
- National Center for Chronic Disease Prevention and Health Promotion (U58 DP000807)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD050924)
- Topics
- Health Sciences › Medicine › Hematology › Multiple Myeloma Research and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Keywords
- multiple myeloma, African ancestry, genetic susceptibility, admixture mapping, polygenic risk score, fine mapping
- MeSH terms
- Female, Humans, Male, Multiple Myeloma, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Transcriptional Elongation Factors, Genome-Wide Association Study, Genetic Loci
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