Fulltext

Consistency between cross-sectional and longitudinal SNP: blood lipid associations

Costanza, Michael ; Beer-Borst, Sigrid ; James, Richard ; Gaspoz, Jean-Michel ; Morabia, Alfredo

In: European Journal of Epidemiology, 2012, vol. 27, no. 2, p. 131-138

Ajouter à la liste personnelle
    Titre
    • Consistency between cross-sectional and longitudinal SNP: blood lipid associations
    Auteur
    • Costanza, Michael. Department of Community Medicine and Primary Care, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland
    • Beer-Borst, Sigrid. Section of Health, Applied R&D in Nutrition and Dietetics, Department of Business and Administration, Health, and Social Work, Bern University of Applied Sciences, Bern, Switzerland
    • James, Richard. Lipid Laboratory, Clinical Diabetes Unit, University Hospitals of Geneva, Geneva, Switzerland
    • Gaspoz, Jean-Michel. Department of Community Medicine and Primary Care, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland
    • Morabia, Alfredo. Center for the Biology of Natural Systems, Queens College, City University of New York, New York, NY, USA
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • European Journal of Epidemiology, 2012, vol. 27, no. 2, p. 131-138. Springer Netherlands
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:314321
    Summary
    Various studies have linked different genetic single nucleotide polymorphisms (SNPs) to different blood lipids (BL), but whether these "connections” were identified using cross-sectional or longitudinal (i.e., changes over time) designs has received little attention. Cross-sectional and longitudinal assessments of BL [total, high-, low-density lipoprotein cholesterol (TC, HDL, LDL), triglycerides (TG)] and non-genetic factors (body mass index, smoking, alcohol intake) were measured for 2,002 Geneva, Switzerland, adults during 1999-2008 (two measurements, median 6years apart), and 20 SNPs in 13 BL metabolism-related genes. Fixed and mixed effects repeated measures linear regression models, respectively, were employed to identify cross-sectional and longitudinal SNP:BL associations among the 1,516 (76%) study participants who reported not being treated for hypercholesterolemia at either measurement time. One-third more (12 vs. 9) longitudinal than cross-sectional associations were found [Bonferroni-adjusted two-tailed p<0.00125 (=0.05/2)/20) for each of the four ensembles of 20 SNP:individual BL associations tested under the two study designs]. There was moderate consistency between the cross-sectional and longitudinal findings, with eight SNP:BL associations consistently identified across both study designs: [APOE.2 and APOE.4 (rs7412 and rs429358)]:TC; HL/LIPC (rs2070895):HDL; [APOB (rs1367117), APOE.2 and APOE.4 (rs7412 and rs429358)]:LDL; [APOA5 (rs2072560) and APOC III (rs5128)]:TG. The results suggest that cross-sectional studies, which include most genome-wide association studies (GWAS), can assess the large majority of SNP:BL associations. In the present analysis, which was much less powered than a GWAS, the cross-sectional study was around 2/3 (67%) as efficient as the longitudinal study