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Cell-type-specific meQTLs extend melanoma GWAS annotation beyond eQTLs and inform melanocyte gene-regulatory mechanisms.
Zhang, Tongwu; Choi, Jiyeon; Dilshat, Ramile; Einarsdóttir, Berglind Ósk; Kovacs, Michael A; Xu, Mai; Malasky, Michael; Chowdhury, Salma; Jones, Kristine; Bishop, D Timothy; Goldstein, Alisa M; Iles, Mark M; Landi, Maria Teresa; Law, Matthew H; Shi, Jianxin; Steingrímsson, Eiríkur; Brown, Kevin M.
Afiliação
  • Zhang T; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Choi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Dilshat R; Department of Biochemistry and Molecular Biology, BioMedical Center, Faculty of Medicine, University of Iceland, Sturlugata 8, 101 Reykjavik, Iceland.
  • Einarsdóttir BÓ; Department of Biochemistry and Molecular Biology, BioMedical Center, Faculty of Medicine, University of Iceland, Sturlugata 8, 101 Reykjavik, Iceland.
  • Kovacs MA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Xu M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Malasky M; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Chowdhury S; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Jones K; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Bishop DT; Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds LS9 7TF, UK.
  • Goldstein AM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Iles MM; Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds LS9 7TF, UK.
  • Landi MT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Law MH; Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia.
  • Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  • Steingrímsson E; Department of Biochemistry and Molecular Biology, BioMedical Center, Faculty of Medicine, University of Iceland, Sturlugata 8, 101 Reykjavik, Iceland.
  • Brown KM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA. Electronic address: kevin.brown3@nih.gov.
Am J Hum Genet ; 108(9): 1631-1646, 2021 09 02.
Article em En | MEDLINE | ID: mdl-34293285
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Locos de Características Quantitativas / Fatores Reguladores de Interferon / Redes Reguladoras de Genes / Melanócitos / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans / Male / Newborn Idioma: En Revista: Am J Hum Genet Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Locos de Características Quantitativas / Fatores Reguladores de Interferon / Redes Reguladoras de Genes / Melanócitos / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans / Male / Newborn Idioma: En Revista: Am J Hum Genet Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos