Literature DB >> 23508417

Commentary: building an evidence base for mendelian randomization studies: assessing the validity and strength of proposed genetic instrumental variables.

Eric J Tchetgen Tchetgen1, Stefan Walter, M Maria Glymour.   

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Year:  2013        PMID： 23508417      PMCID： PMC3600630          DOI： 10.1093/ije/dyt023

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


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  9 in total

1.  'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

Authors:  George Davey Smith; Shah Ebrahim
Journal:  Int J Epidemiol       Date:  2003-02       Impact factor: 7.196

2.  A general regression framework for a secondary outcome in case-control studies.

Authors:  Eric J Tchetgen Tchetgen
Journal:  Biostatistics       Date:  2013-10-22       Impact factor: 5.899

3.  Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses.

Authors:  Tom M Palmer; John R Thompson; Martin D Tobin; Nuala A Sheehan; Paul R Burton
Journal:  Int J Epidemiol       Date:  2008-05-07       Impact factor: 7.196

4.  Mendelian randomization analysis of case-control data using structural mean models.

Authors:  Jack Bowden; Stijn Vansteelandt
Journal:  Stat Med       Date:  2010-12-16       Impact factor: 2.373

5.  Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions.

Authors:  M Maria Glymour; Eric J Tchetgen Tchetgen; James M Robins
Journal:  Am J Epidemiol       Date:  2012-01-12       Impact factor: 4.897

6.  Is aldehyde dehydrogenase 2 a credible genetic instrument for alcohol use in Mendelian randomization analysis in Southern Chinese men?

Authors:  Shiu Lun Au Yeung; ChaoQiang Jiang; Kar Keung Cheng; Bin Liu; WeiSen Zhang; Tai Hing Lam; Gabriel M Leung; C Mary Schooling
Journal:  Int J Epidemiol       Date:  2012-12-14       Impact factor: 7.196

7.  Proper analysis of secondary phenotype data in case-control association studies.

Authors:  D Y Lin; D Zeng
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

8.  Body mass index and depressive symptoms: instrumental-variables regression with genetic risk score.

Authors:  M Jokela; M Elovainio; L Keltikangas-Järvinen; G D Batty; M Hintsanen; I Seppälä; M Kähönen; J S Viikari; O T Raitakari; T Lehtimäki; M Kivimäki
Journal:  Genes Brain Behav       Date:  2012-10-01       Impact factor: 3.449

9.  Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses.

Authors:  Tom M Palmer; Jonathan A C Sterne; Roger M Harbord; Debbie A Lawlor; Nuala A Sheehan; Sha Meng; Raquel Granell; George Davey Smith; Vanessa Didelez
Journal:  Am J Epidemiol       Date:  2011-05-09       Impact factor: 4.897
  9 in total
  20 in total

Review 1.  Methodological challenges in mendelian randomization.

Authors:  Tyler J VanderWeele; Eric J Tchetgen Tchetgen; Marilyn Cornelis; Peter Kraft
Journal:  Epidemiology       Date:  2014-05       Impact factor: 4.822

2.  Polygenic risk score of shorter telomere length and risk of depression and anxiety in women.

Authors:  Shun-Chiao Chang; Jennifer Prescott; Immaculata De Vivo; Peter Kraft; Olivia I Okereke
Journal:  J Psychiatr Res       Date:  2018-05-26       Impact factor: 4.791

3.  Do genetic risk scores for body mass index predict risk of phobic anxiety? Evidence for a shared genetic risk factor.

Authors:  S Walter; M M Glymour; K Koenen; L Liang; E J Tchetgen Tchetgen; M Cornelis; S-C Chang; M Rewak; E Rimm; I Kawachi; L D Kubzansky
Journal:  Psychol Med       Date:  2014-05-28       Impact factor: 7.723

4.  A note on the control function approach with an instrumental variable and a binary outcome.

Authors:  Eric J Tchetgen Tchetgen
Journal:  Epidemiol Methods       Date:  2014-12

5.  Mendelian randomization studies for a continuous exposure under case-control sampling.

Authors:  James Y Dai; Xinyi Cindy Zhang
Journal:  Am J Epidemiol       Date:  2015-02-21       Impact factor: 4.897

6.  Homocysteine-reducing B vitamins and ischemic heart disease: a separate-sample Mendelian randomization analysis.

Authors:  J V Zhao; C M Schooling
Journal:  Eur J Clin Nutr       Date:  2016-11-30       Impact factor: 4.016

7.  State School Policies as Predictors of Physical and Mental Health: A Natural Experiment in the REGARDS Cohort.

Authors:  Willa D Brenowitz; Jennifer J Manly; Audrey R Murchland; Thu T Nguyen; Sze Y Liu; M Maria Glymour; Deborah A Levine; Michael Crowe; Timothy J Hohman; Carole Dufouil; Lenore J Launer; Trey Hedden; Chloe W Eng; Virginia G Wadley; Virginia J Howard
Journal:  Am J Epidemiol       Date:  2020-05-05       Impact factor: 4.897

8.  Instrumental variable approaches to identifying the causal effect of educational attainment on dementia risk.

Authors:  Thu T Nguyen; Eric J Tchetgen Tchetgen; Ichiro Kawachi; Stephen E Gilman; Stefan Walter; Sze Y Liu; Jennifer J Manly; M Maria Glymour
Journal:  Ann Epidemiol       Date:  2015-10-30       Impact factor: 3.797

9.  Diabetes Pathology and Risk of Primary Open-Angle Glaucoma: Evaluating Causal Mechanisms by Using Genetic Information.

Authors:  Ling Shen; Stefan Walter; Ronald B Melles; M Maria Glymour; Eric Jorgenson
Journal:  Am J Epidemiol       Date:  2015-11-25       Impact factor: 4.897

10.  Genetically predicted body mass index and Alzheimer's disease-related phenotypes in three large samples: Mendelian randomization analyses.

Authors:  Shubhabrata Mukherjee; Stefan Walter; John S K Kauwe; Andrew J Saykin; David A Bennett; Eric B Larson; Paul K Crane; M Maria Glymour
Journal:  Alzheimers Dement       Date:  2015-06-12       Impact factor: 21.566
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