Identification and Functional Characterization of G6PC2 Coding Variants Influencing Glycemic Traits Define an Effector Transcript at the G6PC2-ABCB11 Locus

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 and On Behalf of the T2D-GENES consortium and GoT2D consortium

PLOS Genetics, 2015, vol. 11, issue 1, 1-25

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

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1004876

DOI: 10.1371/journal.pgen.1004876

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