Genomewide linkage scan for combined obesity phenotypes using principal component analysis

L. N. He, Y. J. Liu, P. Xiao, L. Zhang, Y. Guo, T. L. Yang, L. J. Zhao, B. Drees, J. Hamilton, H. Y. Deng, Robert R. Recker, H. W. Deng

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Traditional whole genome linkage scans for obesity were usually performed for a number of correlated obesity related phenotypes separately without considering their correlations. The purpose of this study was to identify quantitative trait loci (QTLs) underlying variations in multiple correlated obesity phenotypes. We performed principal component analysis (PCA) for four highly correlated obesity phenotypes (body mass index [BMI], fat mass, percentage of fat mass [PFM], and lean mass) in a sample of 427 pedigrees (comprising 3,273 individuals) and generated two independent principal components (PC1 and PC2). A whole genome linkage scan (WGS) was then conducted for PC1 and PC2. For PC1, the strongest linkage signal was identified on chromosome 20p12 (LOD = 2.67). For PC2, two suggestive linkages were found on 5q35 (LOD = 2.03) and 7p22 (LOD = 2.18). This study provided evidence supporting several previously identified linkage regions for obesity (e.g., 1p36, 6p23 and 7q34). In addition, our approach by linear combination of highly correlated obesity phenotypes identified several novel QTLs which were not found in genome linkage scans for individual phenotypes.

Original languageEnglish
Pages (from-to)319-326
Number of pages8
JournalAnnals of Human Genetics
Volume72
Issue number3
DOIs
StatePublished - May 2008

Fingerprint

Principal Component Analysis
Obesity
Phenotype
Quantitative Trait Loci
Genome
Fats
Pedigree
Body Mass Index
Chromosomes

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)
  • Genetics

Cite this

He, L. N., Liu, Y. J., Xiao, P., Zhang, L., Guo, Y., Yang, T. L., ... Deng, H. W. (2008). Genomewide linkage scan for combined obesity phenotypes using principal component analysis. Annals of Human Genetics, 72(3), 319-326. https://doi.org/10.1111/j.1469-1809.2007.00423.x

Genomewide linkage scan for combined obesity phenotypes using principal component analysis. / He, L. N.; Liu, Y. J.; Xiao, P.; Zhang, L.; Guo, Y.; Yang, T. L.; Zhao, L. J.; Drees, B.; Hamilton, J.; Deng, H. Y.; Recker, Robert R.; Deng, H. W.

In: Annals of Human Genetics, Vol. 72, No. 3, 05.2008, p. 319-326.

Research output: Contribution to journalArticle

He, LN, Liu, YJ, Xiao, P, Zhang, L, Guo, Y, Yang, TL, Zhao, LJ, Drees, B, Hamilton, J, Deng, HY, Recker, RR & Deng, HW 2008, 'Genomewide linkage scan for combined obesity phenotypes using principal component analysis', Annals of Human Genetics, vol. 72, no. 3, pp. 319-326. https://doi.org/10.1111/j.1469-1809.2007.00423.x
He, L. N. ; Liu, Y. J. ; Xiao, P. ; Zhang, L. ; Guo, Y. ; Yang, T. L. ; Zhao, L. J. ; Drees, B. ; Hamilton, J. ; Deng, H. Y. ; Recker, Robert R. ; Deng, H. W. / Genomewide linkage scan for combined obesity phenotypes using principal component analysis. In: Annals of Human Genetics. 2008 ; Vol. 72, No. 3. pp. 319-326.
@article{02d6a677aef842888922e20a4ba22018,
title = "Genomewide linkage scan for combined obesity phenotypes using principal component analysis",
abstract = "Traditional whole genome linkage scans for obesity were usually performed for a number of correlated obesity related phenotypes separately without considering their correlations. The purpose of this study was to identify quantitative trait loci (QTLs) underlying variations in multiple correlated obesity phenotypes. We performed principal component analysis (PCA) for four highly correlated obesity phenotypes (body mass index [BMI], fat mass, percentage of fat mass [PFM], and lean mass) in a sample of 427 pedigrees (comprising 3,273 individuals) and generated two independent principal components (PC1 and PC2). A whole genome linkage scan (WGS) was then conducted for PC1 and PC2. For PC1, the strongest linkage signal was identified on chromosome 20p12 (LOD = 2.67). For PC2, two suggestive linkages were found on 5q35 (LOD = 2.03) and 7p22 (LOD = 2.18). This study provided evidence supporting several previously identified linkage regions for obesity (e.g., 1p36, 6p23 and 7q34). In addition, our approach by linear combination of highly correlated obesity phenotypes identified several novel QTLs which were not found in genome linkage scans for individual phenotypes.",
author = "He, {L. N.} and Liu, {Y. J.} and P. Xiao and L. Zhang and Y. Guo and Yang, {T. L.} and Zhao, {L. J.} and B. Drees and J. Hamilton and Deng, {H. Y.} and Recker, {Robert R.} and Deng, {H. W.}",
year = "2008",
month = "5",
doi = "10.1111/j.1469-1809.2007.00423.x",
language = "English",
volume = "72",
pages = "319--326",
journal = "Annals of Human Genetics",
issn = "0003-4800",
publisher = "Wiley-Blackwell",
number = "3",

}

TY - JOUR

T1 - Genomewide linkage scan for combined obesity phenotypes using principal component analysis

AU - He, L. N.

AU - Liu, Y. J.

AU - Xiao, P.

AU - Zhang, L.

AU - Guo, Y.

AU - Yang, T. L.

AU - Zhao, L. J.

AU - Drees, B.

AU - Hamilton, J.

AU - Deng, H. Y.

AU - Recker, Robert R.

AU - Deng, H. W.

PY - 2008/5

Y1 - 2008/5

N2 - Traditional whole genome linkage scans for obesity were usually performed for a number of correlated obesity related phenotypes separately without considering their correlations. The purpose of this study was to identify quantitative trait loci (QTLs) underlying variations in multiple correlated obesity phenotypes. We performed principal component analysis (PCA) for four highly correlated obesity phenotypes (body mass index [BMI], fat mass, percentage of fat mass [PFM], and lean mass) in a sample of 427 pedigrees (comprising 3,273 individuals) and generated two independent principal components (PC1 and PC2). A whole genome linkage scan (WGS) was then conducted for PC1 and PC2. For PC1, the strongest linkage signal was identified on chromosome 20p12 (LOD = 2.67). For PC2, two suggestive linkages were found on 5q35 (LOD = 2.03) and 7p22 (LOD = 2.18). This study provided evidence supporting several previously identified linkage regions for obesity (e.g., 1p36, 6p23 and 7q34). In addition, our approach by linear combination of highly correlated obesity phenotypes identified several novel QTLs which were not found in genome linkage scans for individual phenotypes.

AB - Traditional whole genome linkage scans for obesity were usually performed for a number of correlated obesity related phenotypes separately without considering their correlations. The purpose of this study was to identify quantitative trait loci (QTLs) underlying variations in multiple correlated obesity phenotypes. We performed principal component analysis (PCA) for four highly correlated obesity phenotypes (body mass index [BMI], fat mass, percentage of fat mass [PFM], and lean mass) in a sample of 427 pedigrees (comprising 3,273 individuals) and generated two independent principal components (PC1 and PC2). A whole genome linkage scan (WGS) was then conducted for PC1 and PC2. For PC1, the strongest linkage signal was identified on chromosome 20p12 (LOD = 2.67). For PC2, two suggestive linkages were found on 5q35 (LOD = 2.03) and 7p22 (LOD = 2.18). This study provided evidence supporting several previously identified linkage regions for obesity (e.g., 1p36, 6p23 and 7q34). In addition, our approach by linear combination of highly correlated obesity phenotypes identified several novel QTLs which were not found in genome linkage scans for individual phenotypes.

UR - http://www.scopus.com/inward/record.url?scp=42149132704&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=42149132704&partnerID=8YFLogxK

U2 - 10.1111/j.1469-1809.2007.00423.x

DO - 10.1111/j.1469-1809.2007.00423.x

M3 - Article

VL - 72

SP - 319

EP - 326

JO - Annals of Human Genetics

JF - Annals of Human Genetics

SN - 0003-4800

IS - 3

ER -