Back to Search Start Over

Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.

Authors :
Anubha Mahajan
Xueling Sim
Hui Jin Ng
Alisa Manning
Manuel A Rivas
Heather M Highland
Adam E Locke
Niels Grarup
Hae Kyung Im
Pablo Cingolani
Jason Flannick
Pierre Fontanillas
Christian Fuchsberger
Kyle J Gaulton
Tanya M Teslovich
N William Rayner
Neil R Robertson
Nicola L Beer
Jana K Rundle
Jette Bork-Jensen
Claes Ladenvall
Christine Blancher
David Buck
Gemma Buck
Noël P Burtt
Stacey Gabriel
Anette P Gjesing
Christopher J Groves
Mette Hollensted
Jeroen R Huyghe
Anne U Jackson
Goo Jun
Johanne Marie Justesen
Massimo Mangino
Jacquelyn Murphy
Matt Neville
Robert Onofrio
Kerrin S Small
Heather M Stringham
Ann-Christine Syvänen
Joseph Trakalo
Goncalo Abecasis
Graeme I Bell
John Blangero
Nancy J Cox
Ravindranath Duggirala
Craig L Hanis
Mark Seielstad
James G Wilson
Cramer Christensen
Ivan Brandslund
Rainer Rauramaa
Gabriela L Surdulescu
Alex S F Doney
Lars Lannfelt
Allan Linneberg
Bo Isomaa
Tiinamaija Tuomi
Marit E Jørgensen
Torben Jørgensen
Johanna Kuusisto
Matti Uusitupa
Veikko Salomaa
Timothy D Spector
Andrew D Morris
Colin N A Palmer
Francis S Collins
Karen L Mohlke
Richard N Bergman
Erik Ingelsson
Lars Lind
Jaakko Tuomilehto
Torben Hansen
Richard M Watanabe
Inga Prokopenko
Josee Dupuis
Fredrik Karpe
Leif Groop
Markku Laakso
Oluf Pedersen
Jose C Florez
Andrew P Morris
David Altshuler
James B Meigs
Michael Boehnke
Mark I McCarthy
Cecilia M Lindgren
Anna L Gloyn
T2D-GENES consortium and GoT2D consortium
Source :
PLoS Genetics, Vol 11, Iss 1, p e1004876 (2015)
Publication Year :
2015
Publisher :
Public Library of Science (PLoS), 2015.

Abstract

Genome wide association studies (GWAS) for fasting glucose (FG) and insulin (FI) have identified common variant signals which explain 4.8% and 1.2% of trait variance, respectively. It is hypothesized that low-frequency and rare variants could contribute substantially to unexplained genetic variance. To test this, we analyzed exome-array data from up to 33,231 non-diabetic individuals of European ancestry. We found exome-wide significant (P

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.1ab88480748b08bff91f2f1d31386
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1004876