Literature DB >> 25592578

Measures of exposure impact genetic association studies: an example in vitamin K levels and VKORC1.

Dana C Crawford1, Kristin Brown-Gentry, Mark J Rieder.   

Abstract

Studies assessing the impact of gene-environment interactions on common human diseases and traits have been relatively few for many reasons. One often acknowledged reason is that it is difficult to accurately measure the environment or exposure. Indeed, most large-scale epidemiologic studies use questionnaires to assess and measure past and current exposure levels. While questionnaires may be cost-effective, the data may or may not accurately represent the exposure compared with more direct measurements (e.g., self-reported current smoking status versus direct measurement for cotinine levels). Much like phenotyping, the choice in how an exposure is measured may impact downstream tests of genetic association and gene-environment interaction studies. As a case study, we performed tests of association between five common VKORC1 SNPs and two different measurements of vitamin K levels, dietary (n=5,725) and serum (n=348), in the Third National Health and Nutrition Examination Studies (NHANES III). We did not replicate previously reported associations between VKORC1 and vitamin K levels using either measure. Furthermore, the suggestive associations and estimated genetic effect sizes identified in this study differed depending on the vitamin K measurement. This case study of VKORC1 and vitamin K levels serves as a cautionary example of the downstream consequences that the type of exposure measurement choices will have on genetic association and possibly gene-environment studies.

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Year:  2015        PMID: 25592578      PMCID: PMC4299921     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  21 in total

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2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

3.  ICD-9 tobacco use codes are effective identifiers of smoking status.

Authors:  Laura K Wiley; Anushi Shah; Hua Xu; William S Bush
Journal:  J Am Med Inform Assoc       Date:  2013-02-09       Impact factor: 4.497

4.  Warfarin pharmacogenetics: a single VKORC1 polymorphism is predictive of dose across 3 racial groups.

Authors:  Nita A Limdi; Mia Wadelius; Larisa Cavallari; Niclas Eriksson; Dana C Crawford; Ming-Ta M Lee; Chien-Hsiun Chen; Alison Motsinger-Reif; Hersh Sagreiya; Nianjun Liu; Alan H B Wu; Brian F Gage; Andrea Jorgensen; Munir Pirmohamed; Jae-Gook Shin; Guilherme Suarez-Kurtz; Stephen E Kimmel; Julie A Johnson; Teri E Klein; Michael J Wagner
Journal:  Blood       Date:  2010-03-04       Impact factor: 22.113

5.  Loss-of-function mutations in APOC3, triglycerides, and coronary disease.

Authors:  Jacy Crosby; Gina M Peloso; Paul L Auer; David R Crosslin; Nathan O Stitziel; Leslie A Lange; Yingchang Lu; Zheng-zheng Tang; He Zhang; George Hindy; Nicholas Masca; Kathleen Stirrups; Stavroula Kanoni; Ron Do; Goo Jun; Youna Hu; Hyun Min Kang; Chenyi Xue; Anuj Goel; Martin Farrall; Stefano Duga; Pier Angelica Merlini; Rosanna Asselta; Domenico Girelli; Oliviero Olivieri; Nicola Martinelli; Wu Yin; Dermot Reilly; Elizabeth Speliotes; Caroline S Fox; Kristian Hveem; Oddgeir L Holmen; Majid Nikpay; Deborah N Farlow; Themistocles L Assimes; Nora Franceschini; Jennifer Robinson; Kari E North; Lisa W Martin; Mark DePristo; Namrata Gupta; Stefan A Escher; Jan-Håkan Jansson; Natalie Van Zuydam; Colin N A Palmer; Nicholas Wareham; Werner Koch; Thomas Meitinger; Annette Peters; Wolfgang Lieb; Raimund Erbel; Inke R Konig; Jochen Kruppa; Franziska Degenhardt; Omri Gottesman; Erwin P Bottinger; Christopher J O'Donnell; Bruce M Psaty; Christie M Ballantyne; Goncalo Abecasis; Jose M Ordovas; Olle Melander; Hugh Watkins; Marju Orho-Melander; Diego Ardissino; Ruth J F Loos; Ruth McPherson; Cristen J Willer; Jeanette Erdmann; Alistair S Hall; Nilesh J Samani; Panos Deloukas; Heribert Schunkert; James G Wilson; Charles Kooperberg; Stephen S Rich; Russell P Tracy; Dan-Yu Lin; David Altshuler; Stacey Gabriel; Deborah A Nickerson; Gail P Jarvik; L Adrienne Cupples; Alex P Reiner; Eric Boerwinkle; Sekar Kathiresan
Journal:  N Engl J Med       Date:  2014-06-18       Impact factor: 91.245

6.  The association between dietary vitamin K intake and serum undercarboxylated osteocalcin is modulated by vitamin K epoxide reductase genotype.

Authors:  Katharina Nimptsch; Alexandra Nieters; Susanne Hailer; Günther Wolfram; Jakob Linseisen
Journal:  Br J Nutr       Date:  2008-11-25       Impact factor: 3.718

7.  Plasma phylloquinone (vitamin K1) concentration and its relationship to intake in a national sample of British elderly people.

Authors:  C W Thane; C J Bates; M J Shearer; N Unadkat; D J Harrington; A A Paul; A Prentice; C Bolton-Smith
Journal:  Br J Nutr       Date:  2002-06       Impact factor: 3.718

8.  VKORC1 common variation and bone mineral density in the Third National Health and Nutrition Examination Survey.

Authors:  Dana C Crawford; Kristin Brown-Gentry; Mark J Rieder
Journal:  PLoS One       Date:  2010-12-13       Impact factor: 3.240

9.  Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis.

Authors:  Sarah A Pendergrass; Scott M Dudek; Dana C Crawford; Marylyn D Ritchie
Journal:  BioData Min       Date:  2010-12-16       Impact factor: 2.522

10.  Factors relating to eating style, social desirability, body image and eating meals at home increase the precision of calibration equations correcting self-report measures of diet using recovery biomarkers: findings from the Women's Health Initiative.

Authors:  Yasmin Mossavar-Rahmani; Lesley F Tinker; Ying Huang; Marian L Neuhouser; Susan E McCann; Rebecca A Seguin; Mara Z Vitolins; J David Curb; Ross L Prentice
Journal:  Nutr J       Date:  2013-05-16       Impact factor: 3.271

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  2 in total

1.  Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data.

Authors:  Matthew T Oetjens; Kristin Brown-Gentry; Robert Goodloe; Holli H Dilks; Dana C Crawford
Journal:  Front Genet       Date:  2016-05-06       Impact factor: 4.599

2.  Cryptic relatedness in epidemiologic collections accessed for genetic association studies: experiences from the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study and the National Health and Nutrition Examination Surveys (NHANES).

Authors:  Jennifer Malinowski; Robert Goodloe; Kristin Brown-Gentry; Dana C Crawford
Journal:  Front Genet       Date:  2015-10-26       Impact factor: 4.599

  2 in total

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