%0 Journal Article %J Circ Cardiovasc Genet %D 2014 %T Association of levels of fasting glucose and insulin with rare variants at the chromosome 11p11.2-MADD locus: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. %A Cornes, Belinda K %A Brody, Jennifer A %A Nikpoor, Naghmeh %A Morrison, Alanna C %A Chu, Huan %A Ahn, Byung Soo %A Wang, Shuai %A Dauriz, Marco %A Barzilay, Joshua I %A Dupuis, Josée %A Florez, Jose C %A Coresh, Josef %A Gibbs, Richard A %A Kao, W H Linda %A Liu, Ching-Ti %A McKnight, Barbara %A Muzny, Donna %A Pankow, James S %A Reid, Jeffrey G %A White, Charles C %A Johnson, Andrew D %A Wong, Tien Y %A Psaty, Bruce M %A Boerwinkle, Eric %A Rotter, Jerome I %A Siscovick, David S %A Sladek, Robert %A Meigs, James B %K Aged %K Aged, 80 and over %K Aging %K Blood Glucose %K Chromosomes, Human, Pair 11 %K Cohort Studies %K Death Domain Receptor Signaling Adaptor Proteins %K Diabetes Mellitus, Type 2 %K Fasting %K Female %K Gene Frequency %K Genetic Variation %K Genome-Wide Association Study %K Genomics %K Guanine Nucleotide Exchange Factors %K Heart Diseases %K Humans %K Insulin %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Sequence Analysis, DNA %X

BACKGROUND: Common variation at the 11p11.2 locus, encompassing MADD, ACP2, NR1H3, MYBPC3, and SPI1, has been associated in genome-wide association studies with fasting glucose and insulin (FI). In the Cohorts for Heart and Aging Research in Genomic Epidemiology Targeted Sequencing Study, we sequenced 5 gene regions at 11p11.2 to identify rare, potentially functional variants influencing fasting glucose or FI levels.

METHODS AND RESULTS: Sequencing (mean depth, 38×) across 16.1 kb in 3566 individuals without diabetes mellitus identified 653 variants, 79.9% of which were rare (minor allele frequency <1%) and novel. We analyzed rare variants in 5 gene regions with FI or fasting glucose using the sequence kernel association test. At NR1H3, 53 rare variants were jointly associated with FI (P=2.73×10(-3)); of these, 7 were predicted to have regulatory function and showed association with FI (P=1.28×10(-3)). Conditioning on 2 previously associated variants at MADD (rs7944584, rs10838687) did not attenuate this association, suggesting that there are >2 independent signals at 11p11.2. One predicted regulatory variant, chr11:47227430 (hg18; minor allele frequency=0.00068), contributed 20.6% to the overall sequence kernel association test score at NR1H3, lies in intron 2 of NR1H3, and is a predicted binding site for forkhead box A1 (FOXA1), a transcription factor associated with insulin regulation. In human HepG2 hepatoma cells, the rare chr11:47227430 A allele disrupted FOXA1 binding and reduced FOXA1-dependent transcriptional activity.

CONCLUSIONS: Sequencing at 11p11.2-NR1H3 identified rare variation associated with FI. One variant, chr11:47227430, seems to be functional, with the rare A allele reducing transcription factor FOXA1 binding and FOXA1-dependent transcriptional activity.

%B Circ Cardiovasc Genet %V 7 %P 374-382 %8 2014 Jun %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/24951664?dopt=Abstract %R 10.1161/CIRCGENETICS.113.000169 %0 Journal Article %J Nat Commun %D 2015 %T Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. %A Wessel, Jennifer %A Chu, Audrey Y %A Willems, Sara M %A Wang, Shuai %A Yaghootkar, Hanieh %A Brody, Jennifer A %A Dauriz, Marco %A Hivert, Marie-France %A Raghavan, Sridharan %A Lipovich, Leonard %A Hidalgo, Bertha %A Fox, Keolu %A Huffman, Jennifer E %A An, Ping %A Lu, Yingchang %A Rasmussen-Torvik, Laura J %A Grarup, Niels %A Ehm, Margaret G %A Li, Li %A Baldridge, Abigail S %A Stančáková, Alena %A Abrol, Ravinder %A Besse, Céline %A Boland, Anne %A Bork-Jensen, Jette %A Fornage, Myriam %A Freitag, Daniel F %A Garcia, Melissa E %A Guo, Xiuqing %A Hara, Kazuo %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Lange, Leslie A %A Layton, Jill C %A Li, Man %A Hua Zhao, Jing %A Meidtner, Karina %A Morrison, Alanna C %A Nalls, Mike A %A Peters, Marjolein J %A Sabater-Lleal, Maria %A Schurmann, Claudia %A Silveira, Angela %A Smith, Albert V %A Southam, Lorraine %A Stoiber, Marcus H %A Strawbridge, Rona J %A Taylor, Kent D %A Varga, Tibor V %A Allin, Kristine H %A Amin, Najaf %A Aponte, Jennifer L %A Aung, Tin %A Barbieri, Caterina %A Bihlmeyer, Nathan A %A Boehnke, Michael %A Bombieri, Cristina %A Bowden, Donald W %A Burns, Sean M %A Chen, Yuning %A Chen, Yii-DerI %A Cheng, Ching-Yu %A Correa, Adolfo %A Czajkowski, Jacek %A Dehghan, Abbas %A Ehret, Georg B %A Eiriksdottir, Gudny %A Escher, Stefan A %A Farmaki, Aliki-Eleni %A Frånberg, Mattias %A Gambaro, Giovanni %A Giulianini, Franco %A Goddard, William A %A Goel, Anuj %A Gottesman, Omri %A Grove, Megan L %A Gustafsson, Stefan %A Hai, Yang %A Hallmans, Göran %A Heo, Jiyoung %A Hoffmann, Per %A Ikram, Mohammad K %A Jensen, Richard A %A Jørgensen, Marit E %A Jørgensen, Torben %A Karaleftheri, Maria %A Khor, Chiea C %A Kirkpatrick, Andrea %A Kraja, Aldi T %A Kuusisto, Johanna %A Lange, Ethan M %A Lee, I T %A Lee, Wen-Jane %A Leong, Aaron %A Liao, Jiemin %A Liu, Chunyu %A Liu, Yongmei %A Lindgren, Cecilia M %A Linneberg, Allan %A Malerba, Giovanni %A Mamakou, Vasiliki %A Marouli, Eirini %A Maruthur, Nisa M %A Matchan, Angela %A McKean-Cowdin, Roberta %A McLeod, Olga %A Metcalf, Ginger A %A Mohlke, Karen L %A Muzny, Donna M %A Ntalla, Ioanna %A Palmer, Nicholette D %A Pasko, Dorota %A Peter, Andreas %A Rayner, Nigel W %A Renstrom, Frida %A Rice, Ken %A Sala, Cinzia F %A Sennblad, Bengt %A Serafetinidis, Ioannis %A Smith, Jennifer A %A Soranzo, Nicole %A Speliotes, Elizabeth K %A Stahl, Eli A %A Stirrups, Kathleen %A Tentolouris, Nikos %A Thanopoulou, Anastasia %A Torres, Mina %A Traglia, Michela %A Tsafantakis, Emmanouil %A Javad, Sundas %A Yanek, Lisa R %A Zengini, Eleni %A Becker, Diane M %A Bis, Joshua C %A Brown, James B %A Cupples, L Adrienne %A Hansen, Torben %A Ingelsson, Erik %A Karter, Andrew J %A Lorenzo, Carlos %A Mathias, Rasika A %A Norris, Jill M %A Peloso, Gina M %A Sheu, Wayne H-H %A Toniolo, Daniela %A Vaidya, Dhananjay %A Varma, Rohit %A Wagenknecht, Lynne E %A Boeing, Heiner %A Bottinger, Erwin P %A Dedoussis, George %A Deloukas, Panos %A Ferrannini, Ele %A Franco, Oscar H %A Franks, Paul W %A Gibbs, Richard A %A Gudnason, Vilmundur %A Hamsten, Anders %A Harris, Tamara B %A Hattersley, Andrew T %A Hayward, Caroline %A Hofman, Albert %A Jansson, Jan-Håkan %A Langenberg, Claudia %A Launer, Lenore J %A Levy, Daniel %A Oostra, Ben A %A O'Donnell, Christopher J %A O'Rahilly, Stephen %A Padmanabhan, Sandosh %A Pankow, James S %A Polasek, Ozren %A Province, Michael A %A Rich, Stephen S %A Ridker, Paul M %A Rudan, Igor %A Schulze, Matthias B %A Smith, Blair H %A Uitterlinden, André G %A Walker, Mark %A Watkins, Hugh %A Wong, Tien Y %A Zeggini, Eleftheria %A Laakso, Markku %A Borecki, Ingrid B %A Chasman, Daniel I %A Pedersen, Oluf %A Psaty, Bruce M %A Tai, E Shyong %A van Duijn, Cornelia M %A Wareham, Nicholas J %A Waterworth, Dawn M %A Boerwinkle, Eric %A Kao, W H Linda %A Florez, Jose C %A Loos, Ruth J F %A Wilson, James G %A Frayling, Timothy M %A Siscovick, David S %A Dupuis, Josée %A Rotter, Jerome I %A Meigs, James B %A Scott, Robert A %A Goodarzi, Mark O %K African Continental Ancestry Group %K Blood Glucose %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Exome %K Fasting %K Genetic Association Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genetic Variation %K Glucagon-Like Peptide-1 Receptor %K Glucose-6-Phosphatase %K Humans %K Insulin %K Mutation Rate %K Oligonucleotide Array Sequence Analysis %K Polymorphism, Single Nucleotide %X

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.

%B Nat Commun %V 6 %P 5897 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25631608?dopt=Abstract %R 10.1038/ncomms6897 %0 Journal Article %J Eur J Hum Genet %D 2016 %T Association of the IGF1 gene with fasting insulin levels. %A Willems, Sara M %A Cornes, Belinda K %A Brody, Jennifer A %A Morrison, Alanna C %A Lipovich, Leonard %A Dauriz, Marco %A Chen, Yuning %A Liu, Ching-Ti %A Rybin, Denis V %A Gibbs, Richard A %A Muzny, Donna %A Pankow, James S %A Psaty, Bruce M %A Boerwinkle, Eric %A Rotter, Jerome I %A Siscovick, David S %A Vasan, Ramachandran S %A Kaplan, Robert C %A Isaacs, Aaron %A Dupuis, Josée %A van Duijn, Cornelia M %A Meigs, James B %X

Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 × 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.

%B Eur J Hum Genet %V 24 %P 1337-43 %8 2016 Aug %G eng %N 9 %1 http://www.ncbi.nlm.nih.gov/pubmed/26860063?dopt=Abstract %R 10.1038/ejhg.2016.4 %0 Journal Article %J Am J Hum Genet %D 2016 %T Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin. %A Liu, Ching-Ti %A Raghavan, Sridharan %A Maruthur, Nisa %A Kabagambe, Edmond Kato %A Hong, Jaeyoung %A Ng, Maggie C Y %A Hivert, Marie-France %A Lu, Yingchang %A An, Ping %A Bentley, Amy R %A Drolet, Anne M %A Gaulton, Kyle J %A Guo, Xiuqing %A Armstrong, Loren L %A Irvin, Marguerite R %A Li, Man %A Lipovich, Leonard %A Rybin, Denis V %A Taylor, Kent D %A Agyemang, Charles %A Palmer, Nicholette D %A Cade, Brian E %A Chen, Wei-Min %A Dauriz, Marco %A Delaney, Joseph A C %A Edwards, Todd L %A Evans, Daniel S %A Evans, Michele K %A Lange, Leslie A %A Leong, Aaron %A Liu, Jingmin %A Liu, Yongmei %A Nayak, Uma %A Patel, Sanjay R %A Porneala, Bianca C %A Rasmussen-Torvik, Laura J %A Snijder, Marieke B %A Stallings, Sarah C %A Tanaka, Toshiko %A Yanek, Lisa R %A Zhao, Wei %A Becker, Diane M %A Bielak, Lawrence F %A Biggs, Mary L %A Bottinger, Erwin P %A Bowden, Donald W %A Chen, Guanjie %A Correa, Adolfo %A Couper, David J %A Crawford, Dana C %A Cushman, Mary %A Eicher, John D %A Fornage, Myriam %A Franceschini, Nora %A Fu, Yi-Ping %A Goodarzi, Mark O %A Gottesman, Omri %A Hara, Kazuo %A Harris, Tamara B %A Jensen, Richard A %A Johnson, Andrew D %A Jhun, Min A %A Karter, Andrew J %A Keller, Margaux F %A Kho, Abel N %A Kizer, Jorge R %A Krauss, Ronald M %A Langefeld, Carl D %A Li, Xiaohui %A Liang, Jingling %A Liu, Simin %A Lowe, William L %A Mosley, Thomas H %A North, Kari E %A Pacheco, Jennifer A %A Peyser, Patricia A %A Patrick, Alan L %A Rice, Kenneth M %A Selvin, Elizabeth %A Sims, Mario %A Smith, Jennifer A %A Tajuddin, Salman M %A Vaidya, Dhananjay %A Wren, Mary P %A Yao, Jie %A Zhu, Xiaofeng %A Ziegler, Julie T %A Zmuda, Joseph M %A Zonderman, Alan B %A Zwinderman, Aeilko H %A Adeyemo, Adebowale %A Boerwinkle, Eric %A Ferrucci, Luigi %A Hayes, M Geoffrey %A Kardia, Sharon L R %A Miljkovic, Iva %A Pankow, James S %A Rotimi, Charles N %A Sale, Michèle M %A Wagenknecht, Lynne E %A Arnett, Donna K %A Chen, Yii-Der Ida %A Nalls, Michael A %A Province, Michael A %A Kao, W H Linda %A Siscovick, David S %A Psaty, Bruce M %A Wilson, James G %A Loos, Ruth J F %A Dupuis, Josée %A Rich, Stephen S %A Florez, Jose C %A Rotter, Jerome I %A Morris, Andrew P %A Meigs, James B %X

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

%B Am J Hum Genet %V 99 %P 56-75 %8 2016 Jul 7 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/27321945?dopt=Abstract %R 10.1016/j.ajhg.2016.05.006