Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study
Research output: Contribution to journal › Journal article › Research › peer-review
The metabolic syndrome involves multiple and interactive effects of genes and environmental factors. To identify chromosomal regions encoding genes possibly predisposing to the metabolic syndrome, we performed a genome-wide scan with 456 white and 217 black participants from 204 nuclear families of the HERITAGE Family Study, using regression-based, single- and multipoint linkage analyses on 509 markers. A principal component analysis was performed on 7 metabolic syndrome-related phenotypes. Two principal components, PC1 and PC2 (55% of the variance), were used as metabolic syndrome phenotypes. ANOVA was used to quantify the familial aggregation of PC1 and PC2. Family membership contributed significantly (P < 0.0023) to the variance in PC1 (r(2) = 0.38 in whites; r(2) = 0.55 in blacks) and PC2 (r(2) = 0.51; r(2) = 0.48). In whites, promising evidence for linkage (P < 0.0023) was found for PC1 (2 markers on 10p11.2) and PC2 (a marker on 19q13.4). Suggestive evidence of linkage (0.01 > P > 0.0023) appeared for PC1 (1q41 and 9p13.1) and PC2 (2p22.3). In blacks, promising linkage was found for PC2 on 1p34.1, and suggestive linkage was found on 7q31.3 and 9q21.1. The genome-wide scan revealed evidence for quantitative trait loci on chromosomal regions that have been previously linked with individual cardiovascular disease and type 2 diabetes risk factors. Some of these chromosomal regions harbor promising potential candidate genes.
Original language | English |
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Journal | The Journal of clinical endocrinology and metabolism |
Volume | 88 |
Issue number | 12 |
Pages (from-to) | 5935-43 |
Number of pages | 9 |
ISSN | 0021-972X |
DOIs | |
Publication status | Published - Dec 2003 |
Externally published | Yes |
- Adolescent, Adult, African Continental Ancestry Group/genetics, Analysis of Variance, Chromosome Mapping, European Continental Ancestry Group/genetics, Female, Genetic Linkage, Genome, Human, Humans, Male, Metabolic Syndrome/genetics, Middle Aged, Phenotype, Principal Component Analysis, Quantitative Trait Loci
Research areas
ID: 258451689