The University of Southampton
University of Southampton Institutional Repository

Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women

Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women
Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women
Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed tomography (CT) to uncover novel loci for body fat distribution among participants of European ancestry. Subcutaneous and visceral fat were quantified in 5,560 women and 4,997 men from 4 population-based studies. Genome-wide genotyping was performed using standard arrays and imputed to ~2.5 million Hapmap SNPs. Each study performed a genome-wide association analysis of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), VAT adjusted for body mass index, and VAT/SAT ratio (a metric of the propensity to store fat viscerally as compared to subcutaneously) in the overall sample and in women and men separately. A weighted z-score meta-analysis was conducted. For the VAT/SAT ratio, our most significant p-value was rs11118316 at LYPLAL1 gene (p = 3.1×10E-09), previously identified in association with waist–hip ratio. For SAT, the most significant SNP was in the FTO gene (p = 5.9×10E-08). Given the known gender differences in body fat distribution, we performed sex-specific analyses. Our most significant finding was for VAT in women, rs1659258 near THNSL2 (p = 1.6×10-08), but not men (p = 0.75). Validation of this SNP in the GIANT consortium data demonstrated a similar sex-specific pattern, with observed significance in women (p = 0.006) but not men (p = 0.24) for BMI and waist circumference (p = 0.04 [women], p = 0.49 [men]). Finally, we interrogated our data for the 14 recently published loci for body fat distribution (measured by waist–hip ratio adjusted for BMI); associations were observed at 7 of these loci. In contrast, we observed associations at only 7/32 loci previously identified in association with BMI; the majority of overlap was observed with SAT. Genome-wide association for visceral and subcutaneous fat revealed a SNP for VAT in women. More refined phenotypes for body composition and fat distribution can detect new loci not previously uncovered in large-scale GWAS of anthropometric traits.

1553-7390
e1002695
Fox, C.S.
80aa5120-7e50-49da-8133-52232b950afa
Liu, Y.
621975c3-5440-4f2c-b313-4e724228220d
White, C.C.
f8ebde1f-0d5b-4645-b835-358abb47bd5c
Feitosa, M.
ef86033e-1cab-4841-9a7c-170260b4ffd4
Smith, A.V.
3de22d2e-c673-49b3-ac56-90d5c7ccd796
Heard-Costa, N.
0d1ef5a2-ec32-469a-a72c-c29e76618fca
Lohman, K.
4d5f08bc-8dfb-43f0-9737-8b765c2fea5f
Johnson, A.D.
7a7c7b41-c602-4552-89fc-ffc5048d6629
Foster, M.C.
25d33f2f-3fc8-450f-b9ef-ff07d1b8c4d2
Greenawalt, D.M.
37234c21-a23c-49e6-b371-0a6aff7d31df
Griffin, P.
29a8c1f5-ffa1-43d7-a302-33dd74db1ed0
Ding, J.
3c8f054d-a84e-4f16-9767-c76364a1b5a2
Newman, A.B.
be4f7867-fafc-4c54-acee-9d4380a02577
Tylavsky, F.
f3d5cf30-614a-4046-9ea0-990eedfdc78a
Milijkovic, I.
47cb18f5-94b4-422a-a61d-f608e5f098b0
Kritchevsky, S.B.
2f22783f-be19-4527-9d62-360ea42afe1e
Launer, L.
606c23ec-a117-4a2e-b0f7-4c9d114712fc
Garcia, M.
dc16c469-ee98-4ecb-b7ee-a2338d783a8e
Eriksdottir, G.
62fe5776-d295-47b1-90f4-12187642cadd
Carr, J.J.
b30b0b90-9606-4927-b0cd-7909382ad2c2
Gudnason, V.
174d32af-83c9-4b84-a29b-7855843e2a21
Harris, T.B.
313fdba6-0c84-41f5-b5a0-4b5299d90209
Cupples, L.A.
f5001825-2986-46ca-bd38-ab82ce36c842
Borecki, I.B.
08b43161-a96c-4c3b-8f79-78d62f57f195
Cooper, C.
e05f5612-b493-4273-9b71-9e0ce32bdad6
Aihie-Sayer, A.
fb4c2053-6d51-4fc1-9489-c3cb431b0ffb
Syddall, H.E.
a0181a93-8fc3-4998-a996-7963f0128328
Fox, C.S.
80aa5120-7e50-49da-8133-52232b950afa
Liu, Y.
621975c3-5440-4f2c-b313-4e724228220d
White, C.C.
f8ebde1f-0d5b-4645-b835-358abb47bd5c
Feitosa, M.
ef86033e-1cab-4841-9a7c-170260b4ffd4
Smith, A.V.
3de22d2e-c673-49b3-ac56-90d5c7ccd796
Heard-Costa, N.
0d1ef5a2-ec32-469a-a72c-c29e76618fca
Lohman, K.
4d5f08bc-8dfb-43f0-9737-8b765c2fea5f
Johnson, A.D.
7a7c7b41-c602-4552-89fc-ffc5048d6629
Foster, M.C.
25d33f2f-3fc8-450f-b9ef-ff07d1b8c4d2
Greenawalt, D.M.
37234c21-a23c-49e6-b371-0a6aff7d31df
Griffin, P.
29a8c1f5-ffa1-43d7-a302-33dd74db1ed0
Ding, J.
3c8f054d-a84e-4f16-9767-c76364a1b5a2
Newman, A.B.
be4f7867-fafc-4c54-acee-9d4380a02577
Tylavsky, F.
f3d5cf30-614a-4046-9ea0-990eedfdc78a
Milijkovic, I.
47cb18f5-94b4-422a-a61d-f608e5f098b0
Kritchevsky, S.B.
2f22783f-be19-4527-9d62-360ea42afe1e
Launer, L.
606c23ec-a117-4a2e-b0f7-4c9d114712fc
Garcia, M.
dc16c469-ee98-4ecb-b7ee-a2338d783a8e
Eriksdottir, G.
62fe5776-d295-47b1-90f4-12187642cadd
Carr, J.J.
b30b0b90-9606-4927-b0cd-7909382ad2c2
Gudnason, V.
174d32af-83c9-4b84-a29b-7855843e2a21
Harris, T.B.
313fdba6-0c84-41f5-b5a0-4b5299d90209
Cupples, L.A.
f5001825-2986-46ca-bd38-ab82ce36c842
Borecki, I.B.
08b43161-a96c-4c3b-8f79-78d62f57f195
Cooper, C.
e05f5612-b493-4273-9b71-9e0ce32bdad6
Aihie-Sayer, A.
fb4c2053-6d51-4fc1-9489-c3cb431b0ffb
Syddall, H.E.
a0181a93-8fc3-4998-a996-7963f0128328

Fox, C.S., Liu, Y., White, C.C., Feitosa, M., Smith, A.V., Heard-Costa, N., Lohman, K., Johnson, A.D., Foster, M.C., Greenawalt, D.M., Griffin, P., Ding, J., Newman, A.B., Tylavsky, F., Milijkovic, I., Kritchevsky, S.B., Launer, L., Garcia, M., Eriksdottir, G., Carr, J.J., Gudnason, V., Harris, T.B., Cupples, L.A., Borecki, I.B., Cooper, C., Aihie-Sayer, A. and Syddall, H.E. (2012) Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women. PLoS Genetics, 8, e1002695. (doi:10.1371/journal.pgen.1002695). (PMID:22589738)

Record type: Article

Abstract

Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed tomography (CT) to uncover novel loci for body fat distribution among participants of European ancestry. Subcutaneous and visceral fat were quantified in 5,560 women and 4,997 men from 4 population-based studies. Genome-wide genotyping was performed using standard arrays and imputed to ~2.5 million Hapmap SNPs. Each study performed a genome-wide association analysis of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), VAT adjusted for body mass index, and VAT/SAT ratio (a metric of the propensity to store fat viscerally as compared to subcutaneously) in the overall sample and in women and men separately. A weighted z-score meta-analysis was conducted. For the VAT/SAT ratio, our most significant p-value was rs11118316 at LYPLAL1 gene (p = 3.1×10E-09), previously identified in association with waist–hip ratio. For SAT, the most significant SNP was in the FTO gene (p = 5.9×10E-08). Given the known gender differences in body fat distribution, we performed sex-specific analyses. Our most significant finding was for VAT in women, rs1659258 near THNSL2 (p = 1.6×10-08), but not men (p = 0.75). Validation of this SNP in the GIANT consortium data demonstrated a similar sex-specific pattern, with observed significance in women (p = 0.006) but not men (p = 0.24) for BMI and waist circumference (p = 0.04 [women], p = 0.49 [men]). Finally, we interrogated our data for the 14 recently published loci for body fat distribution (measured by waist–hip ratio adjusted for BMI); associations were observed at 7 of these loci. In contrast, we observed associations at only 7/32 loci previously identified in association with BMI; the majority of overlap was observed with SAT. Genome-wide association for visceral and subcutaneous fat revealed a SNP for VAT in women. More refined phenotypes for body composition and fat distribution can detect new loci not previously uncovered in large-scale GWAS of anthropometric traits.

Other
fetchObject.action_uri=info_doi%2F10.1371%2Fjournal.pgen.1002695&representation=PDF - Version of Record
Available under License Other.
Download (386kB)

More information

Published date: 10 May 2012
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 343068
URI: http://eprints.soton.ac.uk/id/eprint/343068
ISSN: 1553-7390
PURE UUID: 54c5efbc-41b3-4ec4-a32b-a1cb1606fc12
ORCID for C. Cooper: ORCID iD orcid.org/0000-0003-3510-0709
ORCID for H.E. Syddall: ORCID iD orcid.org/0000-0003-0171-0306

Catalogue record

Date deposited: 24 Sep 2012 10:52
Last modified: 18 Mar 2024 02:48

Export record

Altmetrics

Contributors

Author: C.S. Fox
Author: Y. Liu
Author: C.C. White
Author: M. Feitosa
Author: A.V. Smith
Author: N. Heard-Costa
Author: K. Lohman
Author: A.D. Johnson
Author: M.C. Foster
Author: D.M. Greenawalt
Author: P. Griffin
Author: J. Ding
Author: A.B. Newman
Author: F. Tylavsky
Author: I. Milijkovic
Author: S.B. Kritchevsky
Author: L. Launer
Author: M. Garcia
Author: G. Eriksdottir
Author: J.J. Carr
Author: V. Gudnason
Author: T.B. Harris
Author: L.A. Cupples
Author: I.B. Borecki
Author: C. Cooper ORCID iD
Author: A. Aihie-Sayer
Author: H.E. Syddall ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×