Literature DB >> 20696289

Genetic self knowledge and the future of epidemiologic confounding.

Tyler J VanderWeele1, Tyler Vander Weele.   

Abstract

Prior work has considered how our genetic knowledge might allow for personalized medicine. This commentary explores the reverse question of what personalized genetic medicine might do to our research process, not only in genetics, but in epidemiology more generally.

Mesh:

Year:  2010        PMID: 20696289      PMCID: PMC2917723          DOI: 10.1016/j.ajhg.2010.07.006

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  32 in total

1.  Indirect assessment of confounding: graphic description and limits on effect of adjusting for covariates.

Authors:  W D Flanders; M J Khoury
Journal:  Epidemiology       Date:  1990-05       Impact factor: 4.822

Review 2.  Genetic epidemiology and public health: hope, hype, and future prospects.

Authors:  George Davey Smith; Shah Ebrahim; Sarah Lewis; Anna L Hansell; Lyle J Palmer; Paul R Burton
Journal:  Lancet       Date:  2005 Oct 22-28       Impact factor: 79.321

3.  Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders.

Authors:  Onyebuchi A Arah; Yasutaka Chiba; Sander Greenland
Journal:  Ann Epidemiol       Date:  2008-08       Impact factor: 3.797

4.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

5.  Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1.

Authors:  Christopher I Amos; Xifeng Wu; Peter Broderick; Ivan P Gorlov; Jian Gu; Timothy Eisen; Qiong Dong; Qing Zhang; Xiangjun Gu; Jayaram Vijayakrishnan; Kate Sullivan; Athena Matakidou; Yufei Wang; Gordon Mills; Kimberly Doheny; Ya-Yu Tsai; Wei Vivien Chen; Sanjay Shete; Margaret R Spitz; Richard S Houlston
Journal:  Nat Genet       Date:  2008-04-02       Impact factor: 38.330

6.  Genomics: when the smoke clears ...

Authors:  Stephen J Chanock; David J Hunter
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

7.  Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders.

Authors:  Tyler J Vanderweele; Onyebuchi A Arah
Journal:  Epidemiology       Date:  2011-01       Impact factor: 4.822

8.  Web-based, participant-driven studies yield novel genetic associations for common traits.

Authors:  Nicholas Eriksson; J Michael Macpherson; Joyce Y Tung; Lawrence S Hon; Brian Naughton; Serge Saxonov; Linda Avey; Anne Wojcicki; Itsik Pe'er; Joanna Mountain
Journal:  PLoS Genet       Date:  2010-06-24       Impact factor: 5.917

Review 9.  Clinically available pharmacogenomics tests.

Authors:  D A Flockhart; T Skaar; D S Berlin; T E Klein; A T Nguyen
Journal:  Clin Pharmacol Ther       Date:  2009-04-15       Impact factor: 6.875

10.  Case-only gene-environment interaction studies: when does association imply mechanistic interaction?

Authors:  Tyler J VanderWeele; Sonia Hernández-Díaz; Miguel A Hernán
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

View more
  3 in total

1.  Environmental confounding in gene-environment interaction studies.

Authors:  Tyler J Vanderweele; Yi-An Ko; Bhramar Mukherjee
Journal:  Am J Epidemiol       Date:  2013-05-21       Impact factor: 4.897

2.  A proteome-scale map of the SARS-CoV-2-human contactome.

Authors:  Dae-Kyum Kim; Benjamin Weller; Chung-Wen Lin; Dayag Sheykhkarimli; Jennifer J Knapp; Guillaume Dugied; Andreas Zanzoni; Carles Pons; Marie J Tofaute; Sibusiso B Maseko; Kerstin Spirohn; Florent Laval; Luke Lambourne; Nishka Kishore; Ashyad Rayhan; Mayra Sauer; Veronika Young; Hridi Halder; Nora Marín-de la Rosa; Oxana Pogoutse; Alexandra Strobel; Patrick Schwehn; Roujia Li; Simin T Rothballer; Melina Altmann; Patricia Cassonnet; Atina G Coté; Lena Elorduy Vergara; Isaiah Hazelwood; Betty B Liu; Maria Nguyen; Ramakrishnan Pandiarajan; Bushra Dohai; Patricia A Rodriguez Coloma; Juline Poirson; Paolo Giuliana; Luc Willems; Mikko Taipale; Yves Jacob; Tong Hao; David E Hill; Christine Brun; Jean-Claude Twizere; Daniel Krappmann; Matthias Heinig; Claudia Falter; Patrick Aloy; Caroline Demeret; Marc Vidal; Michael A Calderwood; Frederick P Roth; Pascal Falter-Braun
Journal:  Nat Biotechnol       Date:  2022-10-10       Impact factor: 68.164

3.  Research conducted using data obtained through online communities: ethical implications of methodological limitations.

Authors:  A Cecile J W Janssens; Peter Kraft
Journal:  PLoS Med       Date:  2012-10-23       Impact factor: 11.069

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.