Literature DB >> 15075142

Commentary: development of Mendelian randomization: from hypothesis test to 'Mendelian deconfounding'.

Martin D Tobin1, Cosetta Minelli, Paul R Burton, John R Thompson.   

Abstract

Mesh：

Year:  2004        PMID： 15075142     DOI： 10.1093/ije/dyh016

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN： 0300-5771            Impact factor:   7.196


× No keyword cloud information.
  11 in total

Review 1.  Genetic variation and lipid metabolism: modulation by dietary factors.

Authors:  Jose M Ordovas; Dolores Corella
Journal:  Curr Cardiol Rep       Date:  2005-11       Impact factor: 2.931

Review 2.  What can mendelian randomisation tell us about modifiable behavioural and environmental exposures?

Authors:  George Davey Smith; Shah Ebrahim
Journal:  BMJ       Date:  2005-05-07

3.  Randomised by (your) god: robust inference from an observational study design.

Authors:  George Davey Smith
Journal:  J Epidemiol Community Health       Date:  2006-05       Impact factor: 3.710

4.  Interaction of cigarette smoking and carcinogen-metabolizing polymorphisms in the risk of colorectal polyps.

Authors:  Zhenming Fu; Martha J Shrubsole; Guoliang Li; Walter E Smalley; David W Hein; Qiuyin Cai; Reid M Ness; Wei Zheng
Journal:  Carcinogenesis       Date:  2013-01-08       Impact factor: 4.944

Review 5.  Use of pathway information in molecular epidemiology.

Authors:  Duncan C Thomas; David V Conti; James Baurley; Frederik Nijhout; Michael Reed; Cornelia M Ulrich
Journal:  Hum Genomics       Date:  2009-10       Impact factor: 4.639

6.  Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.

Authors:  Paul R Burton; Anna L Hansell; Isabel Fortier; Teri A Manolio; Muin J Khoury; Julian Little; Paul Elliott
Journal:  Int J Epidemiol       Date:  2008-08-01       Impact factor: 7.196

7.  Mendelian randomisation studies of type 2 diabetes: future prospects.

Authors:  M S Sandhu; S L Debenham; I Barroso; R J F Loos
Journal:  Diabetologia       Date:  2008-02       Impact factor: 10.122

8.  Identifying the odds ratio estimated by a two-stage instrumental variable analysis with a logistic regression model.

Authors:  Stephen Burgess
Journal:  Stat Med       Date:  2013-06-03       Impact factor: 2.373

9.  Assessing Causal Relationship Between Human Blood Metabolites and Five Neurodegenerative Diseases With GWAS Summary Statistics.

Authors:  Haimiao Chen; Jiahao Qiao; Ting Wang; Zhonghe Shao; Shuiping Huang; Ping Zeng
Journal:  Front Neurosci       Date:  2021-12-09       Impact factor: 4.677

Review 10.  Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.

Authors:  Daniel I Swerdlow; Karoline B Kuchenbaecker; Sonia Shah; Reecha Sofat; Michael V Holmes; Jon White; Jennifer S Mindell; Mika Kivimaki; Eric J Brunner; John C Whittaker; Juan P Casas; Aroon D Hingorani
Journal:  Int J Epidemiol       Date:  2016-06-24       Impact factor: 7.196
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.