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Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk

Broderick, Peter (author)
Chubb, Daniel (author)
Johnson, David C. (author)
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Weinhold, Niels (author)
Foersti, Asta (author)
Lloyd, Amy (author)
Olver, Bianca (author)
Ma, Yussanne P. (author)
Dobbins, Sara E. (author)
Walker, Brian A. (author)
Davies, Faith E. (author)
Gregory, Walter A. (author)
Child, J. Anthony (author)
Ross, Fiona M. (author)
Jackson, Graham H. (author)
Neben, Kai (author)
Jauch, Anna (author)
Hoffmann, Per (author)
Muehleisen, Thomas W. (author)
Noethen, Markus M. (author)
Moebus, Susanne (author)
Tomlinson, Ian P. (author)
Goldschmidt, Hartmut (author)
Hemminki, Kari (author)
Lund University,Lunds universitet,Allmänmedicin och klinisk epidemiologi,Forskargrupper vid Lunds universitet,Family Medicine and Clinical Epidemiology,Lund University Research Groups
Morgan, Gareth J. (author)
Houlston, Richard S. (author)
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 (creator_code:org_t)
2011-11-27
2012
English.
In: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 44:1, s. 58-83
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • To identify risk variants for multiple myeloma, we conducted a genome-wide association study of 1,675 individuals with multiple myeloma and 5,903 control subjects. We identified risk loci for multiple myeloma at 3p22.1 (rs1052501 in ULK4; odds ratio (OR) = 1.32; P = 7.47 x 10(-9)) and 7p15.3 (rs4487645, OR = 1.38; P = 3.33 x 10(-15)). In addition, we observed a promising association at 2p23.3 (rs6746082, OR = 1.29; P = 1.22 x 10(-7)). Our study identifies new genomic regions associated with multiple myeloma risk that may lead to new etiological insights.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

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