The University of Southampton
University of Southampton Institutional Repository

Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI

Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI
Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI
The goal of this study is to investigate the relationship between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and body mass index (BMI) in two sizable and well-characterized populations of British women: the British Women's Heart and Health Study (BWHHS) (age 60-79 years) and the mothers from the Avon Longitudinal Study of Parents and Children (age 16-44 years). We genotyped the Val66Met polymorphism (rs6265) in these two populations, and conducted a linear regression analysis to test for an association between this polymorphism and BMI. Both study populations indicated an association between BMI and the Val66Met polymorphism, with individuals carrying the Met-Met genotype having a lower mean BMI than those with the Val-Met or Val-Val genotypes (in the BWHHS): mean BMI difference=-0.911 kg/m(2), 95% confidence interval (CI): -1.70 to -0.12, P=0.023; in the mothers from the Avon Longitudinal Study of Parents and Children (ALSPAC): mean BMI difference=-0.57 kg/m(2), 95%CI: -1.08 to -0.054, P=0.03). In a pooled analysis of these two studies, together with one further published study that provided data in a suitable format for inclusion in our meta-analysis, we found a pooled difference of -0.76 (95% CI: -1.16, -0.036) for adult women; I(2)-test for heterogeneity=51%, P=0.13. Our study indicated an association between BDNF and BMI in two general population studies of women. The exact role of BDNF in weight regulation merits further investigation
1018-4813
1050-1055
Shugart, Yin Yao
e3183e57-94cf-4009-a1fe-7650edf5f721
Chen, Lina
7c344d28-052d-41dd-a17a-acb383f13e05
Day, Ian N.M.
b749b30a-1f4c-40eb-af0e-a50427388b39
Lewis, Sarah J.
aebbef15-0b98-4eef-8adf-79a410a4ed08
Timpson, Nicholas J.
ef38d847-22ec-4030-99cb-e77986b0815d
Yuan, Wei
934197a6-0708-4967-ab09-032f8327e4e5
Abdollahi, Mohammad Reza
96ec68db-6302-4216-9aaf-9951a44be8b8
Ring, Sue M.
034e91fc-505b-4005-bf5d-3b88a2488237
Ebrahim, Shah
0f2ade5c-4ef6-4ca7-9f9b-9b60ba192b13
Golding, Jean
3bc7cd2b-1d28-4160-8624-a12422a12bca
Lawlor, Debbie A
220a802a-1560-4433-b4fa-fadbc336b1f4
Davey-Smith, George
a7a39f65-e054-40e4-b613-baa28873b4c2
Shugart, Yin Yao
e3183e57-94cf-4009-a1fe-7650edf5f721
Chen, Lina
7c344d28-052d-41dd-a17a-acb383f13e05
Day, Ian N.M.
b749b30a-1f4c-40eb-af0e-a50427388b39
Lewis, Sarah J.
aebbef15-0b98-4eef-8adf-79a410a4ed08
Timpson, Nicholas J.
ef38d847-22ec-4030-99cb-e77986b0815d
Yuan, Wei
934197a6-0708-4967-ab09-032f8327e4e5
Abdollahi, Mohammad Reza
96ec68db-6302-4216-9aaf-9951a44be8b8
Ring, Sue M.
034e91fc-505b-4005-bf5d-3b88a2488237
Ebrahim, Shah
0f2ade5c-4ef6-4ca7-9f9b-9b60ba192b13
Golding, Jean
3bc7cd2b-1d28-4160-8624-a12422a12bca
Lawlor, Debbie A
220a802a-1560-4433-b4fa-fadbc336b1f4
Davey-Smith, George
a7a39f65-e054-40e4-b613-baa28873b4c2

Shugart, Yin Yao, Chen, Lina, Day, Ian N.M., Lewis, Sarah J., Timpson, Nicholas J., Yuan, Wei, Abdollahi, Mohammad Reza, Ring, Sue M., Ebrahim, Shah, Golding, Jean, Lawlor, Debbie A and Davey-Smith, George (2009) Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI. European Journal of Human Genetics, 17 (8), 1050-1055. (doi:10.1038/ejhg.2008.272). (PMID:19209189)

Record type: Article

Abstract

The goal of this study is to investigate the relationship between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and body mass index (BMI) in two sizable and well-characterized populations of British women: the British Women's Heart and Health Study (BWHHS) (age 60-79 years) and the mothers from the Avon Longitudinal Study of Parents and Children (age 16-44 years). We genotyped the Val66Met polymorphism (rs6265) in these two populations, and conducted a linear regression analysis to test for an association between this polymorphism and BMI. Both study populations indicated an association between BMI and the Val66Met polymorphism, with individuals carrying the Met-Met genotype having a lower mean BMI than those with the Val-Met or Val-Val genotypes (in the BWHHS): mean BMI difference=-0.911 kg/m(2), 95% confidence interval (CI): -1.70 to -0.12, P=0.023; in the mothers from the Avon Longitudinal Study of Parents and Children (ALSPAC): mean BMI difference=-0.57 kg/m(2), 95%CI: -1.08 to -0.054, P=0.03). In a pooled analysis of these two studies, together with one further published study that provided data in a suitable format for inclusion in our meta-analysis, we found a pooled difference of -0.76 (95% CI: -1.16, -0.036) for adult women; I(2)-test for heterogeneity=51%, P=0.13. Our study indicated an association between BDNF and BMI in two general population studies of women. The exact role of BDNF in weight regulation merits further investigation

This record has no associated files available for download.

More information

Published date: August 2009
Organisations: Cancer Sciences

Identifiers

Local EPrints ID: 364365
URI: http://eprints.soton.ac.uk/id/eprint/364365
ISSN: 1018-4813
PURE UUID: 1977822e-818c-4a9b-b9cc-97c95105721c

Catalogue record

Date deposited: 25 Apr 2014 10:42
Last modified: 14 Mar 2024 16:34

Export record

Altmetrics

Contributors

Author: Yin Yao Shugart
Author: Lina Chen
Author: Ian N.M. Day
Author: Sarah J. Lewis
Author: Nicholas J. Timpson
Author: Wei Yuan
Author: Mohammad Reza Abdollahi
Author: Sue M. Ring
Author: Shah Ebrahim
Author: Jean Golding
Author: Debbie A Lawlor
Author: George Davey-Smith

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.

×