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Träfflista för sökning "WFRF:(Waage Anders) ;pers:(Goldschmidt Hartmut)"

Sökning: WFRF:(Waage Anders) > Goldschmidt Hartmut

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1.
  • Ajore, Ram, et al. (författare)
  • Functional dissection of inherited non-coding variation influencing multiple myeloma risk
  • 2022
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Thousands of non-coding variants have been associated with increased risk of human diseases, yet the causal variants and their mechanisms-of-action remain obscure. In an integrative study combining massively parallel reporter assays (MPRA), expression analyses (eQTL, meQTL, PCHiC) and chromatin accessibility analyses in primary cells (caQTL), we investigate 1,039 variants associated with multiple myeloma (MM). We demonstrate that MM susceptibility is mediated by gene-regulatory changes in plasma cells and B-cells, and identify putative causal variants at six risk loci (SMARCD3, WAC, ELL2, CDCA7L, CEP120, and PREX1). Notably, three of these variants co-localize with significant plasma cell caQTLs, signaling the presence of causal activity at these precise genomic positions in an endogenous chromosomal context in vivo. Our results provide a systematic functional dissection of risk loci for a hematologic malignancy.
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2.
  • Mitchell, Jonathan S., et al. (författare)
  • Genome-wide association study identifies multiple susceptibility loci for multiple myeloma
  • 2016
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7
  • Tidskriftsartikel (refereegranskat)abstract
    • Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P = 1.31 x 10(-8)), 6q21 (rs9372120, P = 9.09 x 10(-15)), 7q36.1 (rs7781265, P = 9.71 x 10(-9)), 8q24.21 (rs1948915, P = 4.20 x 10(-11)), 9p21.3 (rs2811710, P = 1.72 x 10(-13)), 10p12.1 (rs2790457, P = 1.77 x 10(-8)), 16q23.1 (rs7193541, P = 5.00 x 10(-12)) and 20q13.13 (rs6066835, P = 1.36 x 10(-13)), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.
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3.
  • Morgan, Gareth, et al. (författare)
  • MyelomA Genetics International Consortium
  • 2012
  • Ingår i: Leukemia & Lymphoma. - : Informa UK Limited. - 1042-8194 .- 1029-2403. ; 53:5, s. 796-800
  • Forskningsöversikt (refereegranskat)abstract
    • While the etiology of multiple myeloma (MM) is largely unknown, evidence for an inherited genetic susceptibility is provided by the two-fold increased risk of the disease seen in first-degree relatives of cases of MM. It is likely that part of this heritable risk is a consequence of the co-inheritance of low-risk genetic variants. The accumulated experience to date in identifying risk variants for other tumors has highlighted difficulties in conducting statistically and methodologically rigorous studies. The MyelomA Genetics International Consortium (MAGIC) includes 16 research groups in Europe, Asia, Australasia, the Middle East and the Americas engaged in studying the genetics of MM. The first goal of MAGIC is to identify and characterize common genetic variants for MM through association-based analyses. Here, we review the rationale for identifying genetic risk variants for MM and our proposed strategy for establishing MAGIC.
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