Genome-wide association study of height and body mass index in Australian twin families

Liu, Jimmy Z., Medland, Sarah E., Wright, Margaret J., Henders, Anjali K., Heath, Andrew C., Madden, Pamela A. F., Duncan, Alexis, Montgomery, Grant W., Martin, Nicholas G. and McRae, Allan F. (2010) Genome-wide association study of height and body mass index in Australian twin families. Twin Research And Human Genetics, 13 2: 179-193. doi:10.1375/twin.13.2.179

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Author Liu, Jimmy Z.
Medland, Sarah E.
Wright, Margaret J.
Henders, Anjali K.
Heath, Andrew C.
Madden, Pamela A. F.
Duncan, Alexis
Montgomery, Grant W.
Martin, Nicholas G.
McRae, Allan F.
Title Genome-wide association study of height and body mass index in Australian twin families
Journal name Twin Research And Human Genetics   Check publisher's open access policy
ISSN 1832-4274
Publication date 2010-04-01
Sub-type Article (original research)
DOI 10.1375/twin.13.2.179
Open Access Status DOI
Volume 13
Issue 2
Start page 179
End page 193
Total pages 15
Place of publication Bowen Hills, QLD, Australia
Publisher Australian Academic Press
Language eng
Abstract Several studies have investigated the effect of known adult body mass index (BMI) associated single nucleotide polymorphisms (SNPs) on BMI in childhood. There has been no genome-wide association study (GWAS) of BMI trajectories over childhood.
Formatted abstract
Human height and body mass index are influenced by a large number of genes, each with small effects, along with environment. To identify common genetic variants associated with these traits, we performed genome-wide association studies in 11,536 individuals composed of Australian twins, family members, and unrelated individuals at ∼550,000 genotyped SNPs. We identified a single genomewide significant variant for height ( P value = 1.06 &timesl 10 9) located in HHIP, a well-replicated height-associated gene. Suggestive levels of association were found for other known genes associated with height ( Pvalues < 1 × 10-6): ADAMTSL3, EFEMP1, GPR126, and HMGA2; and BMI ( Pvalues < 1 × 10-4): FTO and MC4R. Together, these variants explain less than 2% of total phenotypic variation for height and 0.5% for BMI.

Keyword BMI
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID MC_UU_12013/3
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Medicine Publications
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Created: Fri, 08 Apr 2011, 01:28:15 EST by Debbie Banks on behalf of School of Medicine