Literature DB >> 26883866

Blood group antigen loci demonstrate multivariate genetic associations with circulating cellular adhesion protein levels in the Multi-Ethnic Study of Atherosclerosis.

Nicholas B Larson1, Paul A Decker2, Christina L Wassel3, James S Pankow4, Weihong Tang4, Naomi Q Hanson5, Michael Y Tsai5, Suzette J Bielinski6.   

Abstract

The cellular adhesion pathway is critical in the pathophysiology of atherosclerosis, and genetic factors contributing to regulation of circulating levels of related proteins may be relevant to risk prediction of cardiovascular disease. In contrast to conducting separate genome-wide protein quantitative trait loci (pQTL) mapping analyses of each individual protein, joint genetic association analyses of multiple quantitative traits can leverage cross-trait co-variation and identify simultaneous regulatory effects on protein levels across the pathway. We conducted a multi-pQTL (mpQTL) analysis of 15 proteins related to cellular adhesion assayed on 2313 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). We applied the MQFAM multivariate association analysis method in PLINK on normalized protein level residuals derived from univariate linear regression, adjusting for age, sex, and principal components of ancestry. Race/ethnicity-stratified analyses identified nine genome-wide significant (P < 5e-08) loci associated with co-variation of protein levels. Although the majority of these SNPs were in proximity to structural genes of the assayed proteins, we discovered multiple loci demonstrating co-association with the circulation of at least two proteins. Of these, two significant loci specific to non-Hispanic white participants, rs17074898 at ALOX5AP (P = 1.78E-08) and rs7521237 at KIAA1614 (P = 2.2E-08), would not have met statistical significance using univariate analyses. Moreover, common patterns of multi-protein associations were discovered at the ABO locus across race/ethnicity. These results indicate the biological relevance of blood group antigens on regulation of circulating cellular adhesion pathway proteins while also demonstrating race/ethnicity-specific co-regulatory effects.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26883866      PMCID: PMC4795966          DOI: 10.1007/s00439-016-1643-0

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


  52 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  Soluble P-selectin and the risk of future cardiovascular events.

Authors:  P M Ridker; J E Buring; N Rifai
Journal:  Circulation       Date:  2001-01-30       Impact factor: 29.690

4.  ABO genotype and risk of thrombotic events and hemorrhagic stroke.

Authors:  K L Wiggins; N L Smith; N L Glazer; F R Rosendaal; S R Heckbert; B M Psaty; K M Rice; T Lumley
Journal:  J Thromb Haemost       Date:  2008-11-25       Impact factor: 5.824

Review 5.  What's all the FLAP about?: 5-lipoxygenase-activating protein inhibitors for inflammatory diseases.

Authors:  Jilly F Evans; Andrew D Ferguson; Ralph T Mosley; John H Hutchinson
Journal:  Trends Pharmacol Sci       Date:  2008-01-09       Impact factor: 14.819

6.  ABH-blood-group antigens and glycolipids of human saliva.

Authors:  B L Slomiany; A Slomiany
Journal:  Eur J Biochem       Date:  1978-04

Review 7.  Regulation of intracellular membrane trafficking and cell dynamics by syntaxin-6.

Authors:  Jae-Joon Jung; Shivangi M Inamdar; Ajit Tiwari; Amit Choudhury
Journal:  Biosci Rep       Date:  2012-08       Impact factor: 3.840

8.  The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.

Authors:  Benjamin F Voight; Hyun Min Kang; Jun Ding; Cameron D Palmer; Carlo Sidore; Peter S Chines; Noël P Burtt; Christian Fuchsberger; Yanming Li; Jeanette Erdmann; Timothy M Frayling; Iris M Heid; Anne U Jackson; Toby Johnson; Tuomas O Kilpeläinen; Cecilia M Lindgren; Andrew P Morris; Inga Prokopenko; Joshua C Randall; Richa Saxena; Nicole Soranzo; Elizabeth K Speliotes; Tanya M Teslovich; Eleanor Wheeler; Jared Maguire; Melissa Parkin; Simon Potter; N William Rayner; Neil Robertson; Kathleen Stirrups; Wendy Winckler; Serena Sanna; Antonella Mulas; Ramaiah Nagaraja; Francesco Cucca; Inês Barroso; Panos Deloukas; Ruth J F Loos; Sekar Kathiresan; Patricia B Munroe; Christopher Newton-Cheh; Arne Pfeufer; Nilesh J Samani; Heribert Schunkert; Joel N Hirschhorn; David Altshuler; Mark I McCarthy; Gonçalo R Abecasis; Michael Boehnke
Journal:  PLoS Genet       Date:  2012-08-02       Impact factor: 5.917

9.  A unified framework for association analysis with multiple related phenotypes.

Authors:  Matthew Stephens
Journal:  PLoS One       Date:  2013-07-05       Impact factor: 3.240

10.  Novel association of ABO histo-blood group antigen with soluble ICAM-1: results of a genome-wide association study of 6,578 women.

Authors:  Guillaume Paré; Daniel I Chasman; Mark Kellogg; Robert Y L Zee; Nader Rifai; Sunita Badola; Joseph P Miletich; Paul M Ridker
Journal:  PLoS Genet       Date:  2008-07-04       Impact factor: 5.917

View more
  1 in total

1.  Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.

Authors:  Karen C Clark; Anne E Kwitek
Journal:  Compr Physiol       Date:  2021-12-29       Impact factor: 8.915

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.