title: Serum lipids in the GENECARD study of coronary artery disease identify quantitative trait loci and phenotypic subsets on chromosomes 3q and 5q.
abstract: Coronary artery disease (CAD) and dyslipidemia have strong genetic components. Heterogeneity complicates evaluating genetics of complex diseases such as CAD; incorporating disease-related phenotypes may help reduce heterogeneity. We hypothesized that incorporating lipoproteins in a study of CAD would increase the power to map genes, narrow linkage peaks, identify phenotypic subsets, and elucidate the contribution of established risk factors to genetic results. We performed ordered subset analysis (OSA) and quantitative trait linkage (QTL) using serum lipoproteins and microsatellite markers in 346 families with early-onset CAD. OSA defined homogeneous subsets and calculated lod scores across a chromosome after ranking families by mean lipoprotein values. QTL used variance components analysis. We found significantly increased linkage to chromosome 3q13 (LOD 5.10, p = 0.008) in families with higher HDL cholesterol, lower LDL and total cholesterol, lower triglycerides, and fewer CAD risk factors, possibly due to a concentrated non-lipoprotein-related genetic effect. OSA identified linkage on chromosome 5q34 in families with higher cholesterol, possibly representing a hereditary lipoprotein phenotype. Multiple QTLs were identified, with the strongest for: total cholesterol on chromosome 5q14 (LOD 4.3); LDL on 20p12 (LOD 3.97); HDL on 3p14 (LOD 1.65); triglycerides on 18q22 (LOD 1.43); and HDL/TC ratio on 3q27-28 (LOD 2.06). Our findings suggest the presence of etiologic heterogeneity in families with early-onset CAD, potentially due to differential effects of lipoprotein phenotypes. Candidate genes are under investigation.
authors.affiliation: Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.
authors.forename: S H
authors.initials: SH
authors.lastname: Shah
authors.forename: W E
authors.initials: WE
authors.lastname: Kraus
authors.forename: D C
authors.initials: DC
authors.lastname: Crossman
authors.forename: C B
authors.initials: CB
authors.lastname: Granger
authors.forename: J L
authors.initials: JL
authors.lastname: Haines
authors.forename: C J H
authors.initials: CJ
authors.lastname: Jones
authors.forename: V
authors.initials: V
authors.lastname: Mooser
authors.forename: L
authors.initials: L
authors.lastname: Huang
authors.forename: C
authors.initials: C
authors.lastname: Haynes
authors.forename: E
authors.initials: E
authors.lastname: Dowdy
authors.forename: G L
authors.initials: GL
authors.lastname: Vega
authors.forename: S M
authors.initials: SM
authors.lastname: Grundy
authors.forename: J M
authors.initials: JM
authors.lastname: Vance
authors.forename: E R
authors.initials: ER
authors.lastname: Hauser
mesh_terms: D000328:Adult; D002893:Chromosomes, Human, Pair 3; D002895:Chromosomes, Human, Pair 5; D003324:Coronary Artery Disease / Q000175:diagnosis / Q000235:genetics*; D005260:Female; D008040:Genetic Linkage; D014644:Genetic Variation; D006801:Humans; D008074:Lipoproteins / Q000097:blood* / Q000235:genetics; D008126:Lod Score; D008297:Male; D008875:Middle Aged; D010641:Phenotype; D040641:Quantitative Trait Loci
chemical_list: D008074:Lipoproteins