Literature DB >> 17881410

A cautionary note on the use of Mendelian randomization to infer causation in observational epidemiology.

Murielle Bochud, Arnaud Chiolero, Robert C Elston, Fred Paccaud.   

Abstract

Mesh：

Year:  2007        PMID： 17881410     DOI： 10.1093/ije/dym186

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


× No keyword cloud information.
  11 in total

1.  Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

Authors:  Leah E Mechanic; Huann-Sheng Chen; Christopher I Amos; Nilanjan Chatterjee; Nancy J Cox; Rao L Divi; Ruzong Fan; Emily L Harris; Kevin Jacobs; Peter Kraft; Suzanne M Leal; Kimberly McAllister; Jason H Moore; Dina N Paltoo; Michael A Province; Erin M Ramos; Marylyn D Ritchie; Kathryn Roeder; Daniel J Schaid; Matthew Stephens; Duncan C Thomas; Clarice R Weinberg; John S Witte; Shunpu Zhang; Sebastian Zöllner; Eric J Feuer; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2011-12-06       Impact factor: 2.135

Review 2.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

Review 3.  Blood pressure in relation to coffee and caffeine consumption.

Authors:  Idris Guessous; Chin B Eap; Murielle Bochud
Journal:  Curr Hypertens Rep       Date:  2014-09       Impact factor: 5.369

4.  Testing concordance of instrumental variable effects in generalized linear models with application to Mendelian randomization.

Authors:  James Y Dai; Kwun Chuen Gary Chan; Li Hsu
Journal:  Stat Med       Date:  2014-05-26       Impact factor: 2.373

Review 5.  Usefulness of Mendelian randomization in observational epidemiology.

Authors:  Murielle Bochud; Valentin Rousson
Journal:  Int J Environ Res Public Health       Date:  2010-02-26       Impact factor: 3.390

6.  Relations of inflammatory biomarkers and common genetic variants with arterial stiffness and wave reflection.

Authors:  Renate Schnabel; Martin G Larson; Josée Dupuis; Kathryn L Lunetta; Izabella Lipinska; James B Meigs; Xiaoyan Yin; Jian Rong; Joseph A Vita; Christopher Newton-Cheh; Daniel Levy; John F Keaney; Ramachandran S Vasan; Gary F Mitchell; Emelia J Benjamin
Journal:  Hypertension       Date:  2008-04-21       Impact factor: 10.190

Review 7.  Mendelian randomization in nutritional epidemiology.

Authors:  Lu Qi
Journal:  Nutr Rev       Date:  2009-08       Impact factor: 7.110

8.  Diagnostics for Pleiotropy in Mendelian Randomization Studies: Global and Individual Tests for Direct Effects.

Authors:  James Y Dai; Ulrike Peters; Xiaoyu Wang; Jonathan Kocarnik; Jenny Chang-Claude; Martha L Slattery; Andrew Chan; Mathieu Lemire; Sonja I Berndt; Graham Casey; Mingyang Song; Mark A Jenkins; Hermann Brenner; Aaron P Thrift; Emily White; Li Hsu
Journal:  Am J Epidemiol       Date:  2018-12-01       Impact factor: 4.897

9.  Mendelian randomisation and causal inference in observational epidemiology.

Authors:  Nuala A Sheehan; Vanessa Didelez; Paul R Burton; Martin D Tobin
Journal:  PLoS Med       Date:  2008-08-26       Impact factor: 11.069

10.  Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors.

Authors:  Stephen Burgess; Adam S Butterworth; John R Thompson
Journal:  J Clin Epidemiol       Date:  2015-08-18       Impact factor: 6.437
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.