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Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King, Sontoria D; Veliginti, Swathi; Brouwers, Martijn C G J; Ren, Zhewen; Zheng, Wei; Setiawan, Veronica W; Wilkens, Lynne R; Shu, Xiao-Ou; Arslan, Alan A; Beane Freeman, Laura E; Bracci, Paige M; Canzian, Federico; Du, Mengmeng; Gallinger, Steven J; Giles, Graham G; Goodman, Phyllis J; Haiman, Christopher A; Kogevinas, Manolis; Kooperberg, Charles; LeMarchand, Loic; Neale, Rachel E; Visvanathan, Kala; White, Emily; Albanes, Demetrius; Andreotti, Gabriella; Babic, Ana; Berndt, Sonja I; Brais, Lauren K; Brennan, Paul; Buring, Julie E; Rabe, Kari G; Bamlet, William R; Chanock, Stephen J; Fuchs, Charles S; Gaziano, J Michael; Giovannucci, Edward L; Hackert, Thilo; Hassan, Manal M; Katzke, Verena; Kurtz, Robert C; Lee, I-Min; Malats, Núria; Murphy, Neil; Oberg, Ann L; Orlow, Irene; Porta, Miquel; Real, Francisco X; Rothman, Nathaniel; Sesso, Howard D; Silverman, Debra T.
Afiliação
  • King SD; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, Florida.
  • Veliginti S; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida.
  • Brouwers MCGJ; Division of Endocrinology and Metabolic Diseases, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
  • Ren Z; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.
  • Zheng W; Division of Endocrinology and Metabolic Diseases, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
  • Setiawan VW; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.
  • Wilkens LR; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Shu XO; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Arslan AA; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii.
  • Beane Freeman LE; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Bracci PM; Departments of Obstetrics and Gynecology, Population Health and Environmental Medicine, NYU Perlmutter Comprehensive Cancer Center, New York, New York.
  • Canzian F; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Du M; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
  • Gallinger SJ; Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Giles GG; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Goodman PJ; Hepatobiliary/Pancreatic Surgical Oncology Program, University Health Network, Toronto, Ontario, Canada.
  • Haiman CA; The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Kogevinas M; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Kooperberg C; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.
  • LeMarchand L; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
  • Neale RE; SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Visvanathan K; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • White E; Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Albanes D; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Andreotti G; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii.
  • Babic A; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii.
  • Berndt SI; Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Brais LK; Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland.
  • Brennan P; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Buring JE; Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Rabe KG; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Bamlet WR; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Chanock SJ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Fuchs CS; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Gaziano JM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Giovannucci EL; Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
  • Hackert T; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Hassan MM; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Katzke V; Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Kurtz RC; Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Lee IM; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Malats N; Yale Cancer Center, New Haven, Connecticut.
  • Murphy N; Department of Medicine, Yale School of Medicine, New Haven, Connecticut.
  • Oberg AL; Smilow Cancer Hospital, New Haven, Connecticut.
  • Orlow I; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Porta M; Boston Veteran Affairs Healthcare System, Boston, Massachusetts.
  • Real FX; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Rothman N; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Sesso HD; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Silverman DT; Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
Cancer Epidemiol Biomarkers Prev ; 32(9): 1265-1269, 2023 09 01.
Article em En | MEDLINE | ID: mdl-37351909
ABSTRACT

BACKGROUND:

There are conflicting data on whether nonalcoholic fatty liver disease (NAFLD) is associated with susceptibility to pancreatic cancer. Using Mendelian randomization (MR), we investigated the relationship between genetic predisposition to NAFLD and risk for pancreatic cancer.

METHODS:

Data from genome-wide association studies (GWAS) within the Pancreatic Cancer Cohort Consortium (PanScan; cases n = 5,090, controls n = 8,733) and the Pancreatic Cancer Case Control Consortium (PanC4; cases n = 4,163, controls n = 3,792) were analyzed. We used data on 68 genetic variants with four different MR methods [inverse variance weighting (IVW), MR-Egger, simple median, and penalized weighted median] separately to predict genetic heritability of NAFLD. We then assessed the relationship between each of the four MR methods and pancreatic cancer risk, using logistic regression to calculate ORs and 95% confidence intervals (CI), adjusting for PC risk factors, including obesity and diabetes.

RESULTS:

No association was found between genetically predicted NAFLD and pancreatic cancer risk in the PanScan or PanC4 samples [e.g., PanScan, IVW OR, 1.04; 95% confidence interval (CI), 0.88-1.22; MR-Egger OR, 0.89; 95% CI, 0.65-1.21; PanC4, IVW OR, 1.07; 95% CI, 0.90-1.27; MR-Egger OR, 0.93; 95% CI, 0.67-1.28]. None of the four MR methods indicated an association between genetically predicted NAFLD and pancreatic cancer risk in either sample.

CONCLUSIONS:

Genetic predisposition to NAFLD is not associated with pancreatic cancer risk. IMPACT Given the close relationship between NAFLD and metabolic conditions, it is plausible that any association between NAFLD and pancreatic cancer might reflect host metabolic perturbations (e.g., obesity, diabetes, or metabolic syndrome) and does not necessarily reflect a causal relationship between NAFLD and pancreatic cancer.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cancer Epidemiol Biomarkers Prev Assunto da revista: BIOQUIMICA / EPIDEMIOLOGIA / NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cancer Epidemiol Biomarkers Prev Assunto da revista: BIOQUIMICA / EPIDEMIOLOGIA / NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article