Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study
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Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study. / HERITAGE Family Study.
In: The Journal of clinical endocrinology and metabolism, Vol. 88, No. 12, 12.2003, p. 5935-43.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study
AU - Loos, Ruth J F
AU - Katzmarzyk, Peter T
AU - Rao, D C
AU - Rice, Treva
AU - Leon, Arthur S
AU - Skinner, James S
AU - Wilmore, Jack H
AU - Rankinen, Tuomo
AU - Bouchard, Claude
AU - HERITAGE Family Study
PY - 2003/12
Y1 - 2003/12
N2 - 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.
AB - 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.
KW - Adolescent
KW - Adult
KW - African Continental Ancestry Group/genetics
KW - Analysis of Variance
KW - Chromosome Mapping
KW - European Continental Ancestry Group/genetics
KW - Female
KW - Genetic Linkage
KW - Genome, Human
KW - Humans
KW - Male
KW - Metabolic Syndrome/genetics
KW - Middle Aged
KW - Phenotype
KW - Principal Component Analysis
KW - Quantitative Trait Loci
U2 - 10.1210/jc.2003-030553
DO - 10.1210/jc.2003-030553
M3 - Journal article
C2 - 14671193
VL - 88
SP - 5935
EP - 5943
JO - Journal of Clinical Endocrinology and Metabolism
JF - Journal of Clinical Endocrinology and Metabolism
SN - 0021-972X
IS - 12
ER -
ID: 258451689