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Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma.
Chattopadhyay, Subhayan; Thomsen, Hauke; Yadav, Pankaj; da Silva Filho, Miguel Inacio; Weinhold, Niels; Nöthen, Markus M; Hoffman, Per; Bertsch, Uta; Huhn, Stefanie; Morgan, Gareth J; Goldschmidt, Hartmut; Houlston, Richard; Hemminki, Kari; Försti, Asta.
Afiliación
  • Chattopadhyay S; Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • Thomsen H; Faculty of Medicine, University of Heidelberg, Heidelberg, 69117, Germany.
  • Yadav P; Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • da Silva Filho MI; Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • Weinhold N; Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • Nöthen MM; University Clinic Heidelberg, Internal Medicine V, Heidelberg, 69117, Germany.
  • Hoffman P; Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, 72205, AR, USA.
  • Bertsch U; Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany.
  • Huhn S; Department of Genomics, Life & Brain Research Center, University of Bonn, Bonn, 53127, Germany.
  • Morgan GJ; Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany.
  • Goldschmidt H; Department of Genomics, Life & Brain Research Center, University of Bonn, Bonn, 53127, Germany.
  • Houlston R; Department of Biomedicine, University of Basel, Basel, 4003, Switzerland.
  • Hemminki K; University Clinic Heidelberg, Internal Medicine V, Heidelberg, 69117, Germany.
  • Försti A; University Clinic Heidelberg, Internal Medicine V, Heidelberg, 69117, Germany.
Commun Biol ; 2: 89, 2019.
Article en En | MEDLINE | ID: mdl-30854481
ABSTRACT
Inherited genetic susceptibility to multiple myeloma has been investigated in a number of studies. Although 23 individual risk loci have been identified, much of the genetic heritability remains unknown. Here we carried out genome-wide interaction analyses on two European cohorts accounting for 3,999 cases and 7,266 controls and characterized genetic susceptibility to multiple myeloma with subsequent meta-analysis that discovered 16 unique interacting loci. These risk loci along with previously known variants explain 17% of the heritability in liability scale. The genes associated with the interacting loci were found to be enriched in transforming growth factor beta signaling and circadian rhythm regulation pathways suggesting immunoglobulin trait modulation, TH17 cell differentiation and bone morphogenesis as mechanistic links between the predisposition markers and intrinsic multiple myeloma biology. Further tissue/cell-type enrichment analysis associated the discovered genes with hemic-immune system tissue types and immune-related cell types indicating overall involvement in immune response.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transducción de Señal / Susceptibilidad a Enfermedades / Estudio de Asociación del Genoma Completo / Mieloma Múltiple Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Commun Biol Año: 2019 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transducción de Señal / Susceptibilidad a Enfermedades / Estudio de Asociación del Genoma Completo / Mieloma Múltiple Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Commun Biol Año: 2019 Tipo del documento: Article País de afiliación: Alemania