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

Costanza, Michael C
Published in European journal of epidemiology. 2012, vol. 27, no. 2, p. 131-8
Collection Open Access - Licence nationale Springer
Abstract 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 6 years 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.
Keywords AdultAgedCholesterol/bloodCross-Sectional StudiesFemaleGenetic MarkersHumansLongitudinal StudiesMaleMiddle AgedMolecular Sequence DataPolymorphism, Single Nucleotide/geneticsSwitzerland
PMID: 22407430
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Research groups Groupe Jean-Michel Gaspoz (23)
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COSTANZA, Michael C et al. Consistency between cross-sectional and longitudinal SNP: blood lipid associations. In: European journal of epidemiology, 2012, vol. 27, n° 2, p. 131-8. doi: 10.1007/s10654-012-9670-1 https://archive-ouverte.unige.ch/unige:28410

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Deposited on : 2013-06-06

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