Your browser doesn't support javascript.
loading
Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma.
Liyanage, Upekha E; MacGregor, Stuart; Bishop, D Timothy; Shi, Jianxin; An, Jiyuan; Ong, Jue Sheng; Han, Xikun; Scolyer, Richard A; Martin, Nicholas G; Medland, Sarah E; Byrne, Enda M; Green, Adèle C; Saw, Robyn P M; Thompson, John F; Stretch, Jonathan; Spillane, Andrew; Jiang, Yunxuan; Tian, Chao; Gordon, Scott G; Duffy, David L; Olsen, Catherine M; Whiteman, David C; Long, Georgina V; Iles, Mark M; Landi, Maria Teresa; Law, Matthew H.
Afiliação
  • Liyanage UE; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Experimental Dermatology group, Diamantina Institute, University of Queensland, Brisbane, Australia. Electronic addr
  • MacGregor S; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Bishop DT; Leeds Institute of Medical Research at St James's, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, United Kingdom.
  • Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • An J; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Ong JS; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Han X; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Scolyer RA; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and New South Wales (NSW) Health Pathology, Sydney, Australia.
  • Martin NG; Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Medland SE; Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Byrne EM; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Green AC; Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Cancer Research UK, Manchester Institute, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; Faculty of Biology, Medicine and Health, University of Manchester,
  • Saw RPM; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Melanoma, Mater Hospital, North Sydney, Australia; Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Sydney,
  • Thompson JF; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Melanoma, Mater Hospital, North Sydney, Australia.
  • Stretch J; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and New South Wales (NSW) Health Pathology, Sydney, Australia.
  • Spillane A; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Jiang Y; 23andMe Research Team, 23andMe Inc., Sunnyvale, California, USA.
  • Tian C; 23andMe Research Team, 23andMe Inc., Sunnyvale, California, USA.
  • Gordon SG; Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Duffy DL; Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Olsen CM; Faculty of Medicine, The University of Queensland, Brisbane, Australia; Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Whiteman DC; Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Long GV; Melanoma Institute Australia, The University of Sydney, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Medical Oncology, Mater Hospital, North Sydney, Australia; Department of Medical Oncology, Royal North Shore Hospital, St Leonards, Au
  • Iles MM; Leeds Institute of Medical Research at St James's, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, United Kingdom.
  • Landi MT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Law MH; Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Queensland University of Technology (QUT), Brisbane, Australia.
J Invest Dermatol ; 142(6): 1607-1616, 2022 06.
Article em En | MEDLINE | ID: mdl-34813871
ABSTRACT
Genome-wide association studies (GWAS) have identified a number of risk loci for cutaneous melanoma. Cutaneous melanoma shares overlapping genetic risk (genetic correlation) with a number of other traits, including its risk factors such as sunburn propensity. This genetic correlation can be exploited to identify additional cutaneous melanoma risk loci by multitrait analysis of GWAS (MTAG). We used bivariate linkage disequilibrium-score regression score regression to identify traits that are genetically correlated with clinically confirmed cutaneous melanoma and then used publicly available GWAS for these traits in a multitrait analysis of GWAS. Multitrait analysis of GWAS allows GWAS to be combined while accounting for sample overlap and incomplete genetic correlation. We identified a total of 74 genome-wide independent loci, 19 of them were not previously reported in the input cutaneous melanoma GWAS meta-analysis. Of these loci, 55 were replicated (P < 0.05/74, Bonferroni-corrected P-value in two independent cutaneous melanoma replication cohorts from Melanoma Institute Australia and 23andMe, Inc. Among the, to our knowledge, previously unreported cutaneous melanoma loci are ones that have also been associated with autoimmune traits including rs715199 near LPP and rs10858023 near AP4B1. Our analysis indicates genetic correlation between traits can be leveraged to identify new risk genes for cutaneous melanoma.
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article