Evidence for consistent intragenic and intergenic interactions between SNP effects in the APOA1/C3/A4/A5 gene cluster.
OBJECTIVE
Evaluate the consistency of the contribution of interactions between single nucleotide polymorphism (SNP) genotype effects to variation in measures of lipid metabolism across ethnic strata within gender.


RESULTS
We considered 80 SNPs within the apolipoprotein (APO) A1/C3/A4/A5 gene cluster using an over-parameterized general linear model to identify SNPs whose genotype effects combine non-additively to influence plasma levels of high density lipoprotein cholesterol (HDL-C), total cholesterol (TC) and triglycerides (TG) in a consistent manner across ethnic strata. We analyzed population-based samples of unrelated 18 to 30 year old African-Americans (n = 1,858) and European-Americans (n = 1,973) ascertained without regard to health at four field centers (Birmingham, Ala.; Chicago, Ill.; Minneapolis, Minn. and Oakland, Calif., USA) by the Coronary Artery Risk Development in Young Adults (CARDIA) study. To identify which SNP genotype effects combine non-additively we used a two-tier analysis strategy. We first required that pairs of SNPs show statistically significant non-additivity in both ethnic strata within a gender, where experiment-wise significance was evaluated using a permutation test to determine the probability of observing the number of tests significant in both ethnic strata by chance alone. Second, we required no significant evidence of heterogeneity of the relationship between the phenotype and the two SNP genotypes across ethnic strata and across field centers within each ethnic group. From this strategy we identified ten pairs of SNPs, involving thirteen SNPs, that displayed statistically significant non-additivity of SNP genotype effects on TC. Only one of these thirteen SNPs had statistically significant genotype effects that were consistent across samples.


CONCLUSIONS
Our analyses suggest that ignoring the contribution of interactions between SNP genotype effects when modeling multi-SNP genotype-phenotype relationships may result in an underestimate of the contribution of genetic variation to variation in quantitative cardiovascular disease (CVD) risk factor traits.
Hamon
Sara C
SC
Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109-0618, USA.
Kardia
Sharon L R
SL
Boerwinkle
Eric
E
Liu
Kiang
K
Klos
Kathy L E
KL
Clark
Andrew G
AG
Sing
Charles F
CF
D000293:Adolescent; D000328:Adult; D016632:Apolipoprotein A-I / Q000235:genetics*; D000072040:Apolipoprotein A-V; D053305:Apolipoprotein C-III; D001053:Apolipoproteins / Q000235:genetics*; D001054:Apolipoproteins A / Q000235:genetics*; D001056:Apolipoproteins C / Q000235:genetics*; D044383:Black People; D002318:Cardiovascular Diseases / Q000235:genetics; D008076:Cholesterol, HDL / Q000378:metabolism; D004843:Epistasis, Genetic; D005260:Female; D006801:Humans; D008297:Male; D008957:Models, Genetic; D005810:Multigene Family; D020641:Polymorphism, Single Nucleotide; D044465:White People; D001741:Black or African American
C505693:APOA1 protein, human; C437704:APOA5 protein, human; D016632:Apolipoprotein A-I; D000072040:Apolipoprotein A-V; D053305:Apolipoprotein C-III; D001053:Apolipoproteins; D001054:Apolipoproteins A; D001056:Apolipoproteins C; D008076:Cholesterol, HDL; C022205:apolipoprotein A-IV