Literature DB >> 24100633

No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population.

Logan Dumitrescu1, Cara L Carty, Nora Franceschini, Lucia A Hindorff, Shelley A Cole, Petra Bůžková, Fredrick R Schumacher, Charles B Eaton, Robert J Goodloe, David J Duggan, Jeff Haessler, Barbara Cochran, Brian E Henderson, Iona Cheng, Karen C Johnson, Chris S Carlson, Shelly-Anne Love, Kristin Brown-Gentry, Alejandro Q Nato, Miguel Quibrera, Ralph V Shohet, José Luis Ambite, Lynne R Wilkens, Loïc Le Marchand, Christopher A Haiman, Steven Buyske, Charles Kooperberg, Kari E North, Myriam Fornage, Dana C Crawford.   

Abstract

Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP × smoking interactions.

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Year:  2013        PMID: 24100633      PMCID: PMC3895337          DOI: 10.1007/s00439-013-1375-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  6 in total

Review 1.  Gene-gene and gene-environment interactions defining lipid-related traits.

Authors:  José M Ordovás; Ruairi Robertson; Ellen Ní Cléirigh
Journal:  Curr Opin Lipidol       Date:  2011-04       Impact factor: 4.776

Review 2.  Smoking and smoking cessation -- the relationship between cardiovascular disease and lipoprotein metabolism: a review.

Authors:  Sara Chelland Campbell; Robert J Moffatt; Bryant A Stamford
Journal:  Atherosclerosis       Date:  2008-05-13       Impact factor: 5.162

3.  METAL: fast and efficient meta-analysis of genomewide association scans.

Authors:  Cristen J Willer; Yun Li; Gonçalo R Abecasis
Journal:  Bioinformatics       Date:  2010-07-08       Impact factor: 6.937

4.  The PhenX Toolkit: get the most from your measures.

Authors:  Carol M Hamilton; Lisa C Strader; Joseph G Pratt; Deborah Maiese; Tabitha Hendershot; Richard K Kwok; Jane A Hammond; Wayne Huggins; Dean Jackman; Huaqin Pan; Destiney S Nettles; Terri H Beaty; Lindsay A Farrer; Peter Kraft; Mary L Marazita; Jose M Ordovas; Carlos N Pato; Margaret R Spitz; Diane Wagener; Michelle Williams; Heather A Junkins; William R Harlan; Erin M Ramos; Jonathan Haines
Journal:  Am J Epidemiol       Date:  2011-07-11       Impact factor: 4.897

5.  Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.

Authors:  Logan Dumitrescu; Cara L Carty; Kira Taylor; Fredrick R Schumacher; Lucia A Hindorff; José L Ambite; Garnet Anderson; Lyle G Best; Kristin Brown-Gentry; Petra Bůžková; Christopher S Carlson; Barbara Cochran; Shelley A Cole; Richard B Devereux; Dave Duggan; Charles B Eaton; Myriam Fornage; Nora Franceschini; Jeff Haessler; Barbara V Howard; Karen C Johnson; Sandra Laston; Laurence N Kolonel; Elisa T Lee; Jean W MacCluer; Teri A Manolio; Sarah A Pendergrass; Miguel Quibrera; Ralph V Shohet; Lynne R Wilkens; Christopher A Haiman; Loïc Le Marchand; Steven Buyske; Charles Kooperberg; Kari E North; Dana C Crawford
Journal:  PLoS Genet       Date:  2011-06-30       Impact factor: 5.917

6.  The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study.

Authors:  Tara C Matise; Jose Luis Ambite; Steven Buyske; Christopher S Carlson; Shelley A Cole; Dana C Crawford; Christopher A Haiman; Gerardo Heiss; Charles Kooperberg; Loic Le Marchand; Teri A Manolio; Kari E North; Ulrike Peters; Marylyn D Ritchie; Lucia A Hindorff; Jonathan L Haines
Journal:  Am J Epidemiol       Date:  2011-08-11       Impact factor: 4.897

  6 in total
  4 in total

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

Authors:  Dana C Crawford; Kristin Brown-Gentry; Mark J Rieder
Journal:  Pac Symp Biocomput       Date:  2015

Review 2.  Quantile-Dependent Expressivity and Gene-Lifestyle Interactions Involving High-Density Lipoprotein Cholesterol.

Authors:  Paul T Williams
Journal:  Lifestyle Genom       Date:  2020-12-09

3.  Association of common gene-smoking interactions with elevated plasma apolipoprotein B concentration.

Authors:  Nathalie Roy; Daniel Gaudet; Gérald Tremblay; Diane Brisson
Journal:  Lipids Health Dis       Date:  2020-05-19       Impact factor: 3.876

4.  Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations.

Authors:  Paul T Williams
Journal:  Sci Rep       Date:  2020-03-11       Impact factor: 4.379

  4 in total

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