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 journalJournal articleResearchpeer-review

Harvard

HERITAGE Family Study 2003, 'Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study', The Journal of clinical endocrinology and metabolism, vol. 88, no. 12, pp. 5935-43. https://doi.org/10.1210/jc.2003-030553

APA

HERITAGE Family Study (2003). Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study. The Journal of clinical endocrinology and metabolism, 88(12), 5935-43. https://doi.org/10.1210/jc.2003-030553

Vancouver

HERITAGE Family Study. Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study. The Journal of clinical endocrinology and metabolism. 2003 Dec;88(12):5935-43. https://doi.org/10.1210/jc.2003-030553

Author

HERITAGE Family Study. / Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study. In: The Journal of clinical endocrinology and metabolism. 2003 ; Vol. 88, No. 12. pp. 5935-43.

Bibtex

@article{23c2ef9228a84419a760fdf63292c9ab,
title = "Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study",
abstract = "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.",
keywords = "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",
author = "Loos, {Ruth J F} and Katzmarzyk, {Peter T} and Rao, {D C} and Treva Rice and Leon, {Arthur S} and Skinner, {James S} and Wilmore, {Jack H} and Tuomo Rankinen and Claude Bouchard and {HERITAGE Family Study}",
year = "2003",
month = dec,
doi = "10.1210/jc.2003-030553",
language = "English",
volume = "88",
pages = "5935--43",
journal = "Journal of Clinical Endocrinology and Metabolism",
issn = "0021-972X",
publisher = "Oxford University Press",
number = "12",

}

RIS

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