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-JensenClaes 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, Hanna E. Abboud, Uzma Afzal, David Aguilar, Rector Arya, Gil Atzmon, Tin Aung, Eric Banks, Inês Barroso, Nir Barzilai, Jennifer E. Below, Dwaipayan Bharadwaj, Thomas W. Blackwell, Lori L. Bonnycastle, Don Bowden, Jason Carey, Mauricio O. Carneiro, John C. Chambers, Edmund Chan, Juliana Chan, Giriraj R. Chandak, Peng Chen, Yuhui Chen, Han Chen, Ching Yu Cheng, Kee Seng Chia, Yoon Shin Cho, Adolfo Correa, Joanne E. Curran, Mark J. Daly, Aaron G. Day-Williams, Ralph A. DeFronzo, Mark DePristo, Peter J. Donnelly, Shah B. Ebrahim, Paul Elliott, Tõnu Esko, João Fadista, Yossi Farjoun, Andrew J. Farmer, Vidya S. Farook, Timothy Fennell, Teresa Ferreira, Tasha Fingerlin, Tom Forsén, Sharon P. Fowler, Paul W. Franks, Timothy M. Frayling, Barry I. Freedman, Philippe Froguel, Eric R. Gamazon, Christian Gieger, Benjamin Glaser, Min Jin Go, Jacqueline I. Goldstein, Harald Grallert, George Grant, Todd Green, Michael Griswold, Daniel Esten Hale, Bok Ghee Han, Christopher Hartl, Andrew T. Hattersley, Pamela J. Hicks, Dylan Hodgkiss, Momoko Horikoshi, Martin Hrabé de Angelis, Cheng Hu, Frank B. Hu, Iksoo Huh, Mohammad Kamran Ikram, Thomas Illig, Kathleen A. Jablonski, Christopher P. Jenkinson, Weiping Jia, Hyun Min Kang, Chiea Chuen Khor, Yongkang Kim, Young Jin Kim, Bong Jo Kim, Leena Kinnunen, Jaspal Singh Kooner, Jasmina Kravic, Jennifer Kriebel, Ashish Kumar, Satish Kumar, Teemu Kuulasmaa, Min Seok Kwon, Claudia Langenberg, Torsten Lauritzen, Selyeong Lee, Jaehoon Lee, Juyoung Lee, Jong Young Lee, Donna M. Lehman, Benjamin Lehne, Jonathan C. Levy, Jiang Li, Liming Liang, Wei Yen Lim, Keng Han Lin, Jianjun Liu, Marie Loh, Ronald C.W. Ma, Clement Ma, Reedik Mägi, Jared Maguire, Taylor J. Maxwell, Gilean McVean, Christa Meisinger, Thomas Meitinger, Olle Melander, Andres Metspalu, Evelin Mihailov, Lili Milani, Loukas Moutsianas, Martina Müller-Nurasyid, Solomon K. Musani, Yoshihiko Nagai, Narisu Narisu, Benjamin M. Neale, Maggie C.Y. Ng, Peter Nilsson, Stephen P. O'Rahilly, Marju Orho-Melander, Katharine R. Owen, Nicholette D. Palmer, Taesung Park, Dorota Pasko, Richard D. Pearson, John R.B. Perry, Annette Peters, Toni I. Pollin, Ryan Poplin, Dorairaj Prabhakaran, Sobha Puppala, Shaun Purcell, Lu Qi, Qibin Qi, Michael Roden, Olov Rolandsson, Anders H. Rosengren, Manjinder Sandhu, Thomas Schwarzmayr, Laura J. Scott, Robert A. Scott, James Scott, William R. Scott, Jobanpreet Sehmi, Khalid Shakir, Rob Sladek, Joshua D. Smith, Alena Stancáková, Konstantin Strauch, Tim M. Strom, Amy Swift, E. Shyong Tai, Juan Fernandez Tajes, Sian Tsung Tan, Nikhil Tandon, Herman A. Taylor, Yik Ying Teo, Farook Thameem, Barbara Thorand, Martijn van de Bunt, Tibor V. Varga, Mark Walker, Nicholas J. Wareham, Ryan P. Welch, Thomas Wieland, Gregory Wilson, Tien Yin Wong, Andrew R. Wood, Joon Yoon, Eleftheria Zeggini, Weihua Zhang

Research output: Contribution to journalArticlepeer-review

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<5×10-7) evidence for two loci not previously highlighted by common variant GWAS: GLP1R (p.Ala316Thr, minor allele frequency (MAF)=1.5%) influencing FG levels, and URB2 (p.Glu594Val, MAF = 0.1%) influencing FI levels. Coding variant associations can highlight potential effector genes at (non-coding) GWAS signals. At the G6PC2/ABCB11 locus, we identified multiple coding variants in G6PC2 (p.Val219Leu, p.His177Tyr, and p.Tyr207Ser) influencing FG levels, conditionally independent of each other and the non-coding GWAS signal. In vitro assays demonstrate that these associated coding alleles result in reduced protein abundance via proteasomal degradation, establishing G6PC2 as an effector gene at this locus. Reconciliation of single-variant associations and functional effects was only possible when haplotype phase was considered. In contrast to earlier reports suggesting that, paradoxically, glucose-raising alleles at this locus are protective against type 2 diabetes (T2D), the p.Val219Leu G6PC2 variant displayed a modest but directionally consistent association with T2D risk. Coding variant associations for glycemic traits in GWAS signals highlight PCSK1, RREB1, and ZHX3 as likely effector transcripts. These coding variant association signals do not have a major impact on the trait variance explained, but they do provide valuable biological insights.

Original languageEnglish
Article numbere1004876
JournalPLoS Genetics
Volume11
Issue number1
DOIs
StatePublished - 27 Jan 2015
Externally publishedYes

Bibliographical note

Funding Information:
Funding: HJN was supported by the Agency for Science, Technology and Research in Singapore. CF was supported by the Austrian Science Fund (FWF) grant J-3401. JCF was supported by MGH Research Scholars Award. APM is a Wellcome Trust Senior Research Fellow in Basic and Biomedical Science. JBM was supported by NIDDK R01 DK078616 and K24 DK080140. MIM is a Wellcome Trust Senior Investigator (WT098381); and a National Institute of Health Research Senior Investigator. CML is a Wellcome Trust Research Career Development Fellow (086596/ Z/08/Z). ALG is a Wellcome Trust Senior Research Fellow in Basic and Biomedical Science (095010/Z/ 10/Z). Funding for the GoT2D and T2D-GENES studies was provided by grants NIH U01s DK085526, DK085501, DK085524, DK085545, and DK085584 (Multiethnic Study of Type 2 Diabetes Genes) and DK088389 (Low-Pass Sequencing and High-Density SNP Genotyping for Type 2 Diabetes). Analysis and genotyping of the British UK cohorts was supported by Wellcome Trust funding 090367, 098381, 090532, 083948, 085475, MRC (G0601261), EU (Framework 7) HEALTH-F4-2007-201413, and NIDDK DK098032. The Oxford Biobank is supported by the Oxford Biomedical Research Centre and part of the National NIHR Bioresource. The PIVUS/ ULSAM cohort was supported by Wellcome Trust Grants WT098017, WT064890, WT090532, Uppsala University, Uppsala University Hospital, the Swedish Research Council and the Swedish Heart-Lung Foundation. GoDARTS study was funded by The Wellcome Trust Study Cohort Wellcome Trust Functional Genomics Grant (2004-2008) (Grant No: 072960/2/ 03/2) and The Wellcome Trust Scottish Health Informatics Programme (SHIP) (2009-2012) (Grant No: 086113/Z/08/Z). TwinsUK study was funded by the Wellcome Trust; European Community’s Seventh Framework Programme (FP7/2007–2013). The study also receives support from the National Institute for Health Research (NIHR) BioResource Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London. TDS is holder of an ERC Advanced Principal Investigator award. The Danish studies were supported by the Lundbeck Foundation (Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention and Care (LuCamp); http://www.

Funding Information:
Research. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen, partially funded by an unrestricted donation from the Novo Nordisk Foundation (http://www.metabol.ku.dk/).

Funding Information:
HJN was supported by the Agency for Science, Technology and Research in Singapore. CF was supported by the Austrian Science Fund (FWF) grant J-3401. JCF was supported by MGH Research Scholars Award. APM is a Wellcome Trust Senior Research Fellow in Basic and Biomedical Science. JBM was supported by NIDDK R01 DK078616 and K24 DK080140. MIM is a Wellcome Trust Senior Investigator (WT098381); and a National Institute of Health Research Senior Investigator. CML is a Wellcome Trust Research Career Development Fellow (086596/ Z/08/Z). ALG is a Wellcome Trust Senior Research Fellow in Basic and Biomedical Science (095010/Z/ 10/Z). Funding for the GoT2D and T2D-GENES studies was provided by grants NIH U01s DK085526, DK085501, DK085524, DK085545, and DK085584 (Multiethnic Study of Type 2 Diabetes Genes) and DK088389 (Low-Pass Sequencing and High-Density SNP Genotyping for Type 2 Diabetes). Analysis and genotyping of the British UK cohorts was supported by Wellcome Trust funding 090367, 098381, 090532, 083948, 085475, MRC (G0601261), EU (Framework 7) HEALTH-F4-2007-201413, and NIDDK DK098032. The Oxford Biobank is supported by the Oxford Biomedical Research Centre and part of the National NIHR Bioresource. The PIVUS/ ULSAM cohort was supported by Wellcome Trust Grants WT098017, WT064890, WT090532, Uppsala University, Uppsala University Hospital, the Swedish Research Council and the Swedish Heart-Lung Foundation. GoDARTS study was funded by The Wellcome Trust Study Cohort Wellcome Trust Functional Genomics Grant (2004-2008) (Grant No: 072960/2/ 03/2) and The Wellcome Trust Scottish Health Informatics Programme (SHIP) (2009-2012) (Grant No: 086113/Z/08/Z). TwinsUK study was funded by the Wellcome Trust; European Community?s Seventh Framework Programme (FP7/2007-2013). The study also receives support from the National Institute for Health Research (NIHR) BioResource Clinical Research Facility and Biomedical Research Centre based at Guy''s and St Thomas'' NHS Foundation Trust and King''s College London. TDS is holder of an ERC Advanced Principal Investigator award. The Danish studies were supported by the Lundbeck Foundation (Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention and Care (LuCamp); http://www. lucamp.org/) and the Danish Council for Independent Research. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen, partially funded by an unrestricted donation from the Novo Nordisk Foundation (http://www.metabol.ku.dk/). The METSIM study was supported by the Academy of Finland (contract 124243), the Finnish Heart Foundation, the Finnish Diabetes Foundation, Tekes (contract 1510/31/06), and the Commission of the European Community (HEALTH-F2-2007-201681), and the US National Institutes of Health grants DK093757, DK072193, DK062370, and 1Z01 HG000024. The FUSION study was supported by DK093757, DK072193, DK062370, and 1Z01 HG000024. Genotyping of the METSIM and DPS studies was conducted at the Genetic Resources Core Facility (GRCF) at the Johns Hopkins Institute of Genetic Medicine. VS is funded by the Finnish Foundation for Cardiovascular Research and the Academy of Finland (grant # 139635). The FIN-D2D 2007 study has been financially supported by the hospital districts of Pirkanmaa, South Ostrobothnia, and Central Finland, the Finnish National Public Health Institute (current National Institute for Health and Welfare), the Finnish Diabetes Association, the Ministry of Social Affairs and Health in Finland, the Academy of Finland (grant number 129293), Commission of the European Communities, Directorate C-Public Health (grant agreement no. 2004310) and Finland?s Slottery Machine Association. The DPS has been financially supported by grants from the Academy of Finland (117844 and 40758, 211497, and 118590 (MU); The EVO funding of the Kuopio University Hospital from Ministry of Health and Social Affairs (5254), Finnish Funding Agency for Technology and Innovation (40058/07), Nordic Centre of Excellence on ?Systems biology in controlled dietary interventions and cohort studies, SYSDIET (070014), The Finnish Diabetes Research Foundation, Yrj? Jahnsson Foundation (56358), Sigrid Juselius Foundation and TEKES grants 70103/06 and 40058/07. The DR''s EXTRA Study was supported by grants to RR by the Ministry of Education and Culture of Finland (627;2004-2011), Academy of Finland (102318; 123885), Kuopio University Hospital, Finnish Diabetes Association, Finnish Heart Association, P?ivikki and Sakari Sohlberg Foundation and by grants from European Commission FP6 Integrated Project (EXGENESIS); LSHM-CT-2004-005272, City of Kuopio and Social Insurance Institution of Finland (4/26/ 2010). The Broad Genomics Platform for genotyping of the FIN-D2D 2007, FINRISK 2007, DR''sEXTRA, FUSION, and PPP studies. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Funding Information:
The METSIM study was supported by the Academy

Publisher Copyright:
© 2015, Public Library of Science, All Rights Reserved.

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics
  • Genetics(clinical)
  • Cancer Research

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