Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
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C. Ulrich | N. Timpson | H. Brenner | J. Chang-Claude | M. Hoffmeister | E. Riboli | J. Potter | E. E. Vincent | S. Gruber | A. Wolk | M. Woods | G. Giles | C. Tangen | J. Hampe | G. Rennert | K. Offit | L. Le Marchand | A. de la Chapelle | D. Albanes | W. Zheng | S. Berndt | R. Milne | V. Moreno | G. Casey | E. Platz | A. Lindblom | S. Gallinger | A. Wu | P. Newcomb | U. Peters | S. Ogino | A. Chan | M. Jenkins | S. Gapstur | L. Hsu | G. Davey Smith | E. White | R. Schoen | M. Gunter | N. Murphy | M. Slattery | J. Huyghe | D. Bishop | D. Buchanan | A. Cross | J. Figueiredo | A. May | C. Schafmayer | S. Kweon | C. Joshu | A. Phipps | P. Vodicka | Hansong Wang | T. Harrison | H. Hampel | T. Keku | L. Sakoda | S. Bézieau | P. Campbell | Conghui Qu | A. Gsur | T. Kühn | Christopher I. Li | K. Visvanathan | J. Quirós | E. Sanderson | A. Burnett-Hartman | C. Bull | F. V. van Duijnhoven | S. Castellví-Bel | Li Li | B. van Guelpen | B. Banbury | V. Martín | Wen-Yi Huang | K. Tsilidis | J. Bell | L. Vodickova | A. Chan
[1] J. Bowden,et al. Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization , 2020, bioRxiv.
[2] C. Ulrich,et al. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses , 2019, Gastroenterology.
[3] T. Key,et al. Insulin-like growth factor-1 (IGF-1), insulin-like growth factor-binding protein-3 (IGFBP-3) and breast cancer risk: observational and Mendelian randomization analyses , 2019, bioRxiv.
[4] D. Lawlor,et al. Bias in two-sample Mendelian randomization by using covariable-adjusted summary associations , 2019, bioRxiv.
[5] J. Manson,et al. Intentional Weight Loss and Obesity-Related Cancer Risk , 2019, JNCI cancer spectrum.
[6] A. Jemal,et al. Emerging cancer trends among young adults in the USA: analysis of a population-based cancer registry. , 2019, The Lancet. Public health.
[7] A. Bardelli,et al. Early‐onset colorectal cancer in young individuals , 2018, Molecular oncology.
[8] N. Timpson,et al. Associations of Body Mass and Fat Indexes With Cardiometabolic Traits , 2018, Journal of the American College of Cardiology.
[9] Mathieu Lemire,et al. Discovery of common and rare genetic risk variants for colorectal cancer , 2018, Nature Genetics.
[10] E. Riboli,et al. Obesity and gastrointestinal cancers — where do we go from here? , 2018, Nature Reviews Gastroenterology & Hepatology.
[11] G. Smith,et al. Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic? , 2018, American journal of epidemiology.
[12] M. Gunter,et al. Adiposity and gastrointestinal cancers: epidemiology, mechanisms and future directions , 2018, Nature Reviews Gastroenterology & Hepatology.
[13] S. Gruber,et al. Abstract 235: Type 2 diabetes and glycemic traits in relation to colorectal cancer risk: A Mendelian randomization study , 2018, Epidemiology.
[14] F. Windmeijer,et al. An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings , 2018, bioRxiv.
[15] Samuel E. Jones,et al. Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry , 2018, bioRxiv.
[16] Valeriia Haberland,et al. The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.
[17] G. Davey Smith,et al. Problems in interpreting and using GWAS of conditional phenotypes illustrated by “alcohol GWAS” , 2018, Molecular Psychiatry.
[18] George Davey Smith,et al. Recent Developments in Mendelian Randomization Studies , 2017, Current Epidemiology Reports.
[19] Aung Ko Win,et al. Pro-inflammatory fatty acid profile and colorectal cancer risk : A Mendelian randomisation analysis , 2017 .
[20] Fernando Pires Hartwig,et al. Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption , 2017, bioRxiv.
[21] G. Smith,et al. Mendelian randomization in cardiometabolic disease: challenges in evaluating causality , 2017, Nature Reviews Cardiology.
[22] Debbie A Lawlor,et al. Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technologies , 2017, American journal of epidemiology.
[23] Aung Ko Win,et al. Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancer , 2017, International journal of cancer.
[24] Stephen Burgess,et al. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants , 2016, Epidemiology.
[25] Debbie A Lawlor,et al. Triangulation in aetiological epidemiology , 2016, International journal of epidemiology.
[26] S. Thompson,et al. Bias due to participant overlap in two‐sample Mendelian randomization , 2016, Genetic epidemiology.
[27] K. Straif,et al. Body Fatness and Cancer--Viewpoint of the IARC Working Group. , 2016, The New England journal of medicine.
[28] Jens Nielsen,et al. Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance. , 2016, Cell metabolism.
[29] Aung Ko Win,et al. Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancer , 2016, British Journal of Cancer.
[30] W. Willett,et al. Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer. , 2016, International journal of epidemiology.
[31] D. Lawlor. Commentary: Two-sample Mendelian randomization: opportunities and challenges , 2016, International journal of epidemiology.
[32] G. Davey Smith,et al. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.
[33] N. Lazar,et al. The ASA Statement on p-Values: Context, Process, and Purpose , 2016 .
[34] M. Pirinen,et al. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA , 2016, Nature Communications.
[35] G. Davey Smith,et al. Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies1 , 2016, The American journal of clinical nutrition.
[36] Aung Ko Win,et al. Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk , 2015, Cancer Epidemiology, Biomarkers & Prevention.
[37] G. Davey Smith,et al. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression , 2015, International journal of epidemiology.
[38] Wei-Hong Chen,et al. Adipose-derived stem cells promote tumor initiation and accelerate tumor growth by interleukin-6 production , 2015, Oncotarget.
[39] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[40] Peter Kraft,et al. Adjusting for heritable covariates can bias effect estimates in genome-wide association studies. , 2015, American journal of human genetics.
[41] M. Bissonnette,et al. Tumor suppressors miR-143 and miR-145 and predicted target proteins API5, ERK5, K-RAS, and IRS-1 are differentially expressed in proximal and distal colon. , 2015, American journal of physiology. Gastrointestinal and liver physiology.
[42] Tamara S. Roman,et al. New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.
[43] Z. Tian,et al. Dyslipidemia and colorectal cancer risk: a meta-analysis of prospective studies , 2014, Cancer Causes & Control.
[44] Samuli Ripatti,et al. Metabolic Signatures of Adiposity in Young Adults: Mendelian Randomization Analysis and Effects of Weight Change , 2014, PLoS medicine.
[45] D. Nickerson,et al. A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians , 2014, bioRxiv.
[46] F T Bosman,et al. Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.
[47] G. Davey Smith,et al. Mendelian randomization: genetic anchors for causal inference in epidemiological studies , 2014, Human molecular genetics.
[48] A. Avenell,et al. Long term maintenance of weight loss with non-surgical interventions in obese adults: systematic review and meta-analyses of randomised controlled trials , 2014, BMJ : British Medical Journal.
[49] S. Bonovas,et al. Statins and the risk of colorectal cancer: an updated systematic review and meta-analysis of 40 studies. , 2014, World journal of gastroenterology.
[50] Bruce M. Spiegelman,et al. What We Talk About When We Talk About Fat , 2014, Cell.
[51] Shan Li,et al. Association between statin use and colorectal cancer risk: a meta-analysis of 42 studies , 2013, Cancer Causes & Control.
[52] P. O’Reilly,et al. Long-term Leisure-time Physical Activity and Serum Metabolome , 2013, Circulation.
[53] S. Thompson,et al. Avoiding bias from weak instruments in Mendelian randomization studies. , 2011, International journal of epidemiology.
[54] F. Clavel-Chapelon,et al. Serum levels of IGF‐I, IGFBP‐3 and colorectal cancer risk: results from the EPIC cohort, plus a meta‐analysis of prospective studies , 2010, International journal of cancer.
[55] Tamara B Harris,et al. Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults. , 2009, The American journal of clinical nutrition.
[56] C. Champagne,et al. Increased visceral fat and decreased energy expenditure during the menopausal transition , 2008, International Journal of Obesity.
[57] E. Jacobs,et al. Diet, gender, and colorectal neoplasia. , 2007, Journal of clinical gastroenterology.
[58] J. Wells,et al. Sexual dimorphism of body composition. , 2007, Best practice & research. Clinical endocrinology & metabolism.
[59] S. Kahn,et al. Mechanisms linking obesity to insulin resistance and type 2 diabetes , 2006, Nature.
[60] G. Hotamisligil,et al. Inflammation and metabolic disorders , 2006, Nature.
[61] W. R. Bruce,et al. Hyperinsulinemia, but not other factors associated with insulin resistance, acutely enhances colorectal epithelial proliferation in vivo. , 2006, Endocrinology.
[62] C Michael White,et al. Statins and Cancer Risk: A Meta-analysis , 2007 .
[63] Jayadev Raju,et al. Elevated insulin receptor protein expression in experimentally induced colonic tumors. , 2004, Cancer letters.
[64] S. Ebrahim,et al. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? , 2003, International journal of epidemiology.
[65] N. Nemoto,et al. p53 mutation found to be a significant prognostic indicator in distal colorectal cancer. , 2001, Oncology reports.
[66] R. Roetzheim,et al. Predictors of proximalvs. distal colorectal cancers , 2001, Diseases of the colon and rectum.
[67] Jonathan A C Sterne,et al. Sifting the evidence—what's wrong with significance tests? , 2001, BMJ : British Medical Journal.
[68] E. Riboli,et al. Serum C-peptide, insulin-like growth factor (IGF)-I, IGF-binding proteins, and colorectal cancer risk in women. , 2000, Journal of the National Cancer Institute.
[69] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[70] J. Higginson,et al. International Agency for Research on Cancer. , 1968, WHO chronicle.
[71] A. Wald. The Fitting of Straight Lines if Both Variables are Subject to Error , 1940 .