Albrecht, Eva

An, Ping

Anttila, Verneri

Bandinelli, Stefania

Beilin, Lawrence J.

Bochud, Murielle

Boraska, Vesna

Borecki, Ingrid B.

Burnier, Michel

Cadby, Gemma

Campbell, Harry

Cusi, Daniele

Day-Williams, Aaron

Dedoussis, George V.

Elliott, Katherine S.

Ernst, Florian

Evans, David M.

Franklin, Christopher S.

Frayling, Timothy M.

Gieger, Christian

Hayward, Caroline

Hicks, Andrew A.

Holmen, Jostein

Huffman, Jennifer

Huth, Cornelia

James, Alan L.

Kaprio, Jaakko

Klopp, Norman

Kolcic, Ivana

Kutalik, Zoltan

Lawlor, Debbie A.

Musk, Arthur W.

Ntalla, Ioanna

Palmer, Lyle J.

Palotie, Aarno

Panoutsopoulou, Kalliope

Pehlic, Marina

Pennell, Craig E.

Perry, John R. B.

Peters, Annette

Pietiläinen, Kirsi Hannele

Polasek, Ozren

Pramstaller, Peter P.

Province, Michael A.

Ring, Susan M.

Rudan, Igor

Salvi, Erika

Schipf, Sabine

Smith, George Davey

St Pourcain, Beate

Staessen, Jan A.

Tachmazidou, Ioanna

Teumer, Alexander

Timpson, Nicholas

Vitart, Veronique

Voelzke, Henry

Warrington, Nicole M.

Wedenoja, Juho

Wichmann, H. Erich

Winsvold, Bendik S.

Wright, Alan F.

Yaghootkar, Hanieh

Zeggini, Eleftheria

Zemunik, Tatijana

Zgaga, Lina

Zwart, John-Anker

PLoS ONE

PubMed

Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p<0.05) in the age-adjusted strata for men and across both sexes. In this first GWAS meta-analysis for BC to date, we have not identified any genome-wide significant signals and do not observe robust association of previously established obesity loci with BC. Large-scale collaborations will be necessary to achieve higher power to detect loci underlying BC.

© 2012 Boraska et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Boraska, V

Day-Williams, A

Franklin, CS

Elliott, KS

Panoutsopoulou, K

Tachmazidou, I

Albrecht, E

Bandinelli, S

Beilin, L

Bochud, M

Cadby, G

Ernst, F

Hayward, C

Hicks, AA

Huth, C

James, AL

Klopp, N

Kolcic, I

Kutalik, Z

Musk, AW

Pehlic, M

Pennell, CE

Perry, JRB

Polasek, O

St Pourcain, B

Ring, SM

Salvi, E

Schipf, S

Staessen, JA

Teumer, A

Timpson, N

Vitart, V

Warrington, NM

Yaghootkar, H

Zemunik, T

Zgaga, L

An, P

Anttila, V

Borecki, IB

Ntalla, I

Palotie, A

Pietilainen, KH

Wedenoja, J

Winsvold, Bendik Kristoffer Slagsvold

Dedoussis, GV

Kaprio, J

Province, MA

Burnier, M

Campbell, H

Cusi, D

Smith, GD

Frayling, TM

Gieger, C

Palmer, LJ

Pramstaller, PP

Rudan, I

Volzke, H

Wichmann, HE

Wright, AF

Zeggini, E

NORA - Norwegian Open Research Archives

Genome-Wide Association Study to Identify Common Variants Associated with Brachial Circumference: A Meta-Analysis of 14 Cohorts

Vesna Boraska

Aaron Day-Williams

Christopher S. Franklin

Katherine S. Elliott

Kalliope Panoutsopoulou

Ioanna Tachmazidou

Eva Albrecht

Stefania Bandinelli

Lawrence J. Beilin

Murielle Bochud

Gemma Cadby

Florian Ernst

David M. Evans

Caroline Hayward

Andrew A. Hicks

Jennifer Huffman

Cornelia Huth

Alan L. James

Norman Klopp

Ivana Kolcic

Zoltán Kutalik

Debbie A. Lawlor

Arthur W. Musk

Marina Pehlic

Craig E. Pennell

John R. B. Perry

Annette Peters

Ozren Polasek

Beate St Pourcain

Susan M. Ring

Erika Salvi

Sabine Schipf

Jan A. Staessen

Alexander Teumer

Nicholas Timpson

Veronique Vitart

Nicole M. Warrington

Hanieh Yaghootkar

Tatijana Zemunik

Lina Zgaga

Ping An

Verneri Anttila

Ingrid B. Borecki

Jostein Holmen

Ioanna Ntalla

Aarno Palotie

Kirsi H. Pietiläinen

Juho Wedenoja

Bendik S. Winsvold

George V. Dedoussis

Jaakko Kaprio

Michael A. Province

John-Anker Zwart

Michel Burnier

Harry Campbell

Daniele Cusi

George Davey Smith

Timothy M. Frayling

Christian Gieger

Lyle J. Palmer

Peter P. Pramstaller

Igor Rudan

Henry Völzke

H. -Erich Wichmann

Alan F. Wright

Eleftheria Zeggini

Crossref

Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (

Pietilainen, Kirsi H.

NARCIS 

https://serval.unil.ch/resource/serval:BIB_8B56012693D2.P001/REF.pdf

Genome-Wide Association Study to Identify Common Variants Associated with Brachial Circumference: A Meta-Analysis of 14 Cohorts

Abstract

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