학술논문

A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci
Document Type
article
Author
Rand, Kristin ASong, ChiDean, EricSerie, Daniel JCurtin, KarenSheng, XinHu, DongleiHuff, Carol AnnBernal-Mizrachi, LeonTomasson, Michael HAilawadhi, SikanderSinghal, SeemaPawlish, KarenPeters, Edward SBock, Cathryn HStram, AlexVan Den Berg, David JEdlund, Christopher KConti, David VZimmerman, ToddHwang, Amie EHuntsman, ScottGraff, JohnNooka, AjayKong, YinfeiPregja, Silvana LBerndt, Sonja IBlot, William JCarpten, JohnCasey, GrahamChu, LisaDiver, W RyanStevens, Victoria LLieber, Michael RGoodman, Phyllis JHennis, Anselm JMHsing, Ann WMehta, JayeshKittles, Rick AKolb, SuzanneKlein, Eric ALeske, CristinaMurphy, Adam BNemesure, BarbaraNeslund-Dudas, ChristineStrom, Sara SVij, RaviRybicki, Benjamin AStanford, Janet LSignorello, Lisa BWitte, John SAmbrosone, Christine BBhatti, ParveenJohn, Esther MBernstein, LeslieZheng, WeiOlshan, Andrew FHu, Jennifer JZiegler, Regina GNyante, Sarah JBandera, Elisa VBirmann, Brenda MIngles, Sue APress, Michael FAtanackovic, DjordjeGlenn, Martha JCannon-Albright, Lisa AJones, BrandtTricot, GuidoMartin, Thomas GKumar, Shaji KWolf, Jeffrey LDeming Halverson, Sandra LRothman, NathanielBrooks-Wilson, Angela RRajkumar, S VincentKolonel, Laurence NChanock, Stephen JSlager, Susan LSeverson, Richard KJanakiraman, NaliniTerebelo, Howard RBrown, Elizabeth EDe Roos, Anneclaire JMohrbacher, Ann FColditz, Graham AGiles, Graham GSpinelli, John JChiu, Brian CMunshi, Nikhil CAnderson, Kenneth CLevy, JoanZonder, Jeffrey AOrlowski, Robert ZLonial, SagarCamp, Nicola JVachon, Celine MZiv, EladStram, Daniel OHazelett, Dennis J
Source
Cancer Epidemiology Biomarkers & Prevention. 25(12)
Subject
Biomedical and Clinical Sciences
Cancer
Clinical Research
Genetics
Rare Diseases
Hematology
Human Genome
Aetiology
2.1 Biological and endogenous factors
Adult
Aged
Black People
Female
Genetic Loci
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Male
Middle Aged
Multiple Myeloma
Polycomb Repressive Complex 1
Polymorphism
Single Nucleotide
Protein Serine-Threonine Kinases
Repressor Proteins
Transmembrane Activator and CAML Interactor Protein
White People
Medical and Health Sciences
Epidemiology
Biomedical and clinical sciences
Health sciences
Language
Abstract
BackgroundGenome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma.MethodsWe performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality.ResultsWe found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry-European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4 Correlated variants in 7p15.3 clustered around an enhancer at the 3' end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10-7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7 CONCLUSIONS: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles.ImpactA subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609-18. ©2016 AACR.