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. 2015 Jan 29:6:5897.
doi: 10.1038/ncomms6897.

Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Jennifer Wessel  1 Audrey Y Chu  2 Sara M Willems  3 Shuai Wang  4 Hanieh Yaghootkar  5 Jennifer A Brody  6 Marco Dauriz  7 Marie-France Hivert  8 Sridharan Raghavan  9 Leonard Lipovich  10 Bertha Hidalgo  11 Keolu Fox  12 Jennifer E Huffman  13 Ping An  14 Yingchang Lu  15 Laura J Rasmussen-Torvik  16 Niels Grarup  17 Margaret G Ehm  18 Li Li  18 Abigail S Baldridge  16 Alena Stančáková  19 Ravinder Abrol  20 Céline Besse  21 Anne Boland  21 Jette Bork-Jensen  17 Myriam Fornage  22 Daniel F Freitag  23 Melissa E Garcia  24 Xiuqing Guo  25 Kazuo Hara  15 Aaron Isaacs  26 Johanna Jakobsdottir  27 Leslie A Lange  28 Jill C Layton  29 Man Li  30 Jing Hua Zhao  31 Karina Meidtner  32 Alanna C Morrison  33 Mike A Nalls  34 Marjolein J Peters  35 Maria Sabater-Lleal  36 Claudia Schurmann  15 Angela Silveira  36 Albert V Smith  37 Lorraine Southam  38 Marcus H Stoiber  39 Rona J Strawbridge  36 Kent D Taylor  25 Tibor V Varga  40 Kristine H Allin  17 Najaf Amin  26 Jennifer L Aponte  18 Tin Aung  41 Caterina Barbieri  42 Nathan A Bihlmeyer  43 Michael Boehnke  44 Cristina Bombieri  45 Donald W Bowden  46 Sean M Burns  47 Yuning Chen  4 Yii-DerI Chen  25 Ching-Yu Cheng  48 Adolfo Correa  49 Jacek Czajkowski  14 Abbas Dehghan  50 Georg B Ehret  51 Gudny Eiriksdottir  27 Stefan A Escher  40 Aliki-Eleni Farmaki  52 Mattias Frånberg  53 Giovanni Gambaro  54 Franco Giulianini  55 William A Goddard 3rd  56 Anuj Goel  57 Omri Gottesman  58 Megan L Grove  33 Stefan Gustafsson  59 Yang Hai  25 Göran Hallmans  60 Jiyoung Heo  61 Per Hoffmann  62 Mohammad K Ikram  63 Richard A Jensen  6 Marit E Jørgensen  64 Torben Jørgensen  65 Maria Karaleftheri  66 Chiea C Khor  67 Andrea Kirkpatrick  56 Aldi T Kraja  14 Johanna Kuusisto  68 Ethan M Lange  69 I T Lee  70 Wen-Jane Lee  71 Aaron Leong  9 Jiemin Liao  41 Chunyu Liu  72 Yongmei Liu  73 Cecilia M Lindgren  74 Allan Linneberg  75 Giovanni Malerba  45 Vasiliki Mamakou  76 Eirini Marouli  52 Nisa M Maruthur  77 Angela Matchan  78 Roberta McKean-Cowdin  79 Olga McLeod  36 Ginger A Metcalf  80 Karen L Mohlke  28 Donna M Muzny  80 Ioanna Ntalla  81 Nicholette D Palmer  82 Dorota Pasko  5 Andreas Peter  83 Nigel W Rayner  84 Frida Renström  40 Ken Rice  85 Cinzia F Sala  42 Bengt Sennblad  86 Ioannis Serafetinidis  87 Jennifer A Smith  88 Nicole Soranzo  89 Elizabeth K Speliotes  90 Eli A Stahl  91 Kathleen Stirrups  92 Nikos Tentolouris  93 Anastasia Thanopoulou  94 Mina Torres  79 Michela Traglia  42 Emmanouil Tsafantakis  95 Sundas Javad  31 Lisa R Yanek  96 Eleni Zengini  97 Diane M Becker  96 Joshua C Bis  6 James B Brown  98 L Adrienne Cupples  99 Torben Hansen  100 Erik Ingelsson  101 Andrew J Karter  102 Carlos Lorenzo  103 Rasika A Mathias  96 Jill M Norris  104 Gina M Peloso  105 Wayne H-H Sheu  106 Daniela Toniolo  42 Dhananjay Vaidya  96 Rohit Varma  79 Lynne E Wagenknecht  107 Heiner Boeing  108 Erwin P Bottinger  58 George Dedoussis  52 Panos Deloukas  109 Ele Ferrannini  110 Oscar H Franco  50 Paul W Franks  111 Richard A Gibbs  80 Vilmundur Gudnason  37 Anders Hamsten  36 Tamara B Harris  24 Andrew T Hattersley  112 Caroline Hayward  113 Albert Hofman  50 Jan-Håkan Jansson  114 Claudia Langenberg  31 Lenore J Launer  24 Daniel Levy  115 Ben A Oostra  26 Christopher J O'Donnell  116 Stephen O'Rahilly  117 Sandosh Padmanabhan  118 James S Pankow  119 Ozren Polasek  120 Michael A Province  14 Stephen S Rich  121 Paul M Ridker  122 Igor Rudan  123 Matthias B Schulze  124 Blair H Smith  125 André G Uitterlinden  126 Mark Walker  127 Hugh Watkins  57 Tien Y Wong  128 Eleftheria Zeggini  78 EPIC-InterAct ConsortiumMarkku Laakso  68 Ingrid B Borecki  14 Daniel I Chasman  129 Oluf Pedersen  17 Bruce M Psaty  130 E Shyong Tai  131 Cornelia M van Duijn  132 Nicholas J Wareham  31 Dawn M Waterworth  133 Eric Boerwinkle  134 W H Linda Kao  135 Jose C Florez  136 Ruth J F Loos  137 James G Wilson  138 Timothy M Frayling  5 David S Siscovick  139 Josée Dupuis  99 Jerome I Rotter  25 James B Meigs  9 Robert A Scott  31 Mark O Goodarzi  140
Collaborators, Affiliations

Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Jennifer Wessel et al. Nat Commun. .

Abstract

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

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Conflict of interest statement

J.C.F. has received consulting honoraria from PanGenX and Pfizer; T.F. consulted for Boeringer Ingelheim; J.B.M. serves as a consultant to LipoScience, and Quest Diagnostics; B.P. serves on the DSMB of a clinical trial for a device funded by the manufacturer (Zoll LifeCor) and on the Steering Committee for the Yale Open Data Access Project funded by Johnson & Johnson; D.M.W., M.G.E., L.L. and J.A. are all full time employees of GlaxoSmithKline. P.M.R. and D.I.C. have research grant support from Amgen, AstraZeneca and the NHLBI. The remaining authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Glycaemic associations with rs10305492 (GLP1R A316T).
Glycaemic phenotypes were tested for association with rs10305492 in GLP1R (A316T). Each phenotype, sample size (N), covariates in each model, beta per s.d., 95% confidence interval (95%CI) and P values (P) are reported. Analyses were performed on native distributions and scaled to s.d. values from the Fenland or Ely studies to allow comparisons of effect sizes across phenotypes.
Figure 2
Figure 2. GLP1R regional association plot.
Regional association results (−log10p) for fasting glucose of GLP1R locus on chromosome 6. Linkage disequilibrium (r2) indicated by colour scale legend. Triangle symbols indicate variants with MAF>5%, square symbols indicate variants with MAF1–5% and circle symbols indicate variants with MAF<1%.
Figure 3
Figure 3. G6PC2.
(a) Regional association results (−log10p) for fasting glucose of the G6PC2 locus on chromosome 2. Minor allele frequencies (MAF) of common and rare G6PC2 SNVs from single-variant analyses are shown. P values for rs560887, rs563694 and rs552976 were artificially trimmed for the figure. Linkage disequilibrium (r2) indicated by colour scale legend. y-Axis scaled to show associations for variant rs560887 (purple dot, MAF=43%, P=4.2 × 10−87). Triangle symbols indicate variants with MAF>5%, square symbols indicate variants with MAF1–5% and circle symbols indicate variants with MAF <1%. (b) Regional association results (−log10p) for fasting glucose conditioned on rs560887 of G6PC2. After adjustment for rs560887, both rare SNVs rs2232326 (S324P) and rs146779637 (R283X), and common SNV rs492594 remain significantly associated with FG indicating the presence of multiple independent associations with FG at the G6PC2 locus. (c) Inset of G6PC2 gene with depiction of exon locations, amino-acid substitutions and MAFs of the 15 SNVs included in gene-based analysis (MAF<1% and nonsynonymous, splice-site and gain/loss-of-function variation types as annotated by dbNSFPv2.0). (d) The contribution of each variant on significance and effect of the SKAT test when one variant is removed from the test. Gene-based SKAT P values (blue line) and test statistic (red line) of G6PC2 after removing one SNV at a time and re-calculating the association. (e) Haplotypes and haplotype association statistics and P values generated from the 15 rare SNVs from gene-based analysis of G6PC2 from 18 cohorts and listed in panel (c). Global haplotype association, P=1.1 × 10−17. Haplotypes ordered by decreasing frequency with haplotype 1 as the reference. Orange highlighting indicates the minor allele of the SNV on the haplotype.

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