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1. Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women

Author

Amelie Bonnefond, Nancy Heard-Costa, Eleftheria Zeggini, Anna Gloyn, LAURA CRISPONI, Eco De Geus, Michael Weedon, Torben Jørgensen, Jaakko Kaprio, Iva Miljkovic, Amanda Bennett, Yurii Aulchenko, Michael Stumvoll, Andrew Hattersley, Christian Dina, Sophie Visvikis-Siest, Udo Seedorf, Vilmundur Gudnason, Michael Marmot, Mika Kivimaki, Mary Feitosa, Danielle Posthuma, Claudia Langenberg, Stavroula Kanoni, Cyrus Cooper, Meena Kumari, Peter Kovacs, Debbie A Lawlor, Inga Prokopenko, Rafn Benediktsson, Stephen Kritchevsky, Philippe Froguel, Cornelia Van Duijn, Nita Forouhi, Anne B. Newman, Ko Willems van Dijk, John Carr, Reedik Mägi, Sutapa Mukherjee, Lyle John Palmer, Francois Pattou, L. Adrienne Cupples, Paul Franks, Paul Elliott, Albert Vernon Smith, MANUELA UDA, Kirsten Ohm Kyvik, Manuel Serrano Ríos, Richard Bergman, Gonneke Willemsen, Cecilia Lindgren, Igor Rudan, Human genetics, NCA - Attention & Cognition, EMGO - Lifestyle, overweight and diabetes, Institute for Molecular Medicine Finland, Research Group Ripatti Samuli, Hjelt Institute (-2014), Department of Public Health, Biostatistics Helsinki, Complex Disease Genetics, Genetic Epidemiology, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Attention & Cognition, EMGO+ - Lifestyle, Overweight and Diabetes, GIANT Consortium, MAGIC Consortium, GLGC Consortium, Dupuis, J., Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., Jackson, AU., Wheeler, E., Glazer, NL., Bouatia-Naji, N., Gloyn, AL., Lindgren, CM., Mägi, R., Morris, AP., Randall, J., Johnson, T., Elliott, P., Rybin, D., Thorleifsson, G., Steinthorsdottir, V., Henneman, P., Grallert, H., Dehghan, A., Hottenga, JJ., Franklin, CS., Navarro, P., Song, K., Goel, A., Perry, JR., Egan, JM., Lajunen, T., Grarup, N., Sparsø, T., Doney, A., Voight, BF., Stringham, HM., Li, M., Kanoni, S., Shrader, P., Cavalcanti-Proença, C., Kumari, M., Qi, L., Timpson, NJ., Gieger, C., Zabena, C., Rocheleau, G., Ingelsson, E., An, P., O'Connell, J., Luan£££Jian'an£££ J., Elliott, A., McCarroll, SA., Payne, F., Roccasecca, RM., Pattou, F., Sethupathy, P., Ardlie, K., Ariyurek, Y., Balkau, B., Barter, P., Beilby, JP., Ben-Shlomo, Y., Benediktsson, R., Bennett, AJ., Bergmann, S., Bochud, M., Boerwinkle, E., Bonnefond, A., Bonnycastle, LL., Borch-Johnsen, K., Böttcher, Y., Brunner, E., Bumpstead, SJ., Charpentier, G., Chen, YD., Chines, P., Clarke, R., Coin, LJ., Cooper, MN., Cornelis, M., Crawford, G., Crisponi, L., Day, IN., de Geus EJ., Delplanque, J., Dina, C., Erdos, MR., Fedson, AC., Fischer-Rosinsky, A., Forouhi, NG., Fox, CS., Frants, R., Franzosi, MG., Galan, P., Goodarzi, MO., Graessler, J., Groves, CJ., Grundy, S., Gwilliam, R., Gyllensten, U., Hadjadj, S., Hallmans, G., Hammond, N., Han, X., Hartikainen, AL., Hassanali, N., Hayward, C., Heath, SC., Hercberg, S., Herder, C., Hicks, AA., Hillman, DR., Hingorani, AD., Hofman, A., Hui, J., Hung, J., Isomaa, B., Johnson, PR., Jørgensen, T., Jula, A., Kaakinen, M., Kaprio, J., Kesaniemi, YA., Kivimaki, M., Knight, B., Koskinen, S., Kovacs, P., Kyvik, KO., Lathrop, GM., Lawlor, DA., Le Bacquer, O., Lecoeur, C., Li, Y., Lyssenko, V., Mahley, R., Mangino, M., Manning, AK., Martínez-Larrad£££María Teresa£££ MT., McAteer, JB., McCulloch, LJ., McPherson, R., Meisinger, C., Melzer, D., Meyre, D., Mitchell, BD., Morken, MA., Mukherjee, S., Naitza, S., Narisu, N., Neville, MJ., Oostra, BA., Orrù, M., Pakyz, R., Palmer, CN., Paolisso, G., Pattaro, C., Pearson, D., Peden, JF., Pedersen, NL., Perola, M., Pfeiffer, AF., Pichler, I., Polasek, O., Posthuma, D., Potter, SC., Pouta, A., Province, MA., Psaty, BM., Rathmann, W., Rayner, NW., Rice, K., Ripatti, S., Rivadeneira, F., Roden, M., Rolandsson, O., Sandbaek, A., Sandhu, M., Sanna, S., Sayer, AA., Scheet, P., Scott, LJ., Seedorf, U., Sharp, SJ., Shields, B., Sigurðsson, G., Sijbrands, EJ., Silveira, A., Simpson, L., Singleton, A., Smith, NL., Sovio, U., Swift, A., Syddall, H., Syvänen, AC., Tanaka, T., Thorand, B., Tichet, J., Tönjes, A., Tuomi, T., Uitterlinden, AG., van Dijk KW., van Hoek, M., Varma, D., Visvikis-Siest, S., Vitart, V., Vogelzangs, N., Waeber, G., Wagner, PJ., Walley, A., Walters, GB., Ward, KL., Watkins, H., Weedon, MN., Wild, SH., Willemsen, G., Witteman, JC., Yarnell, JW., Zeggini, E., Zelenika, D., Zethelius, B., Zhai, G., Zhao, JH., Zillikens, MC., Borecki, IB., Loos, RJ., Meneton, P., Magnusson, PK., Nathan, DM., Williams, GH., Hattersley, AT., Silander, K., Salomaa, V., Smith, GD., Bornstein, SR., Schwarz, P., Spranger, J., Karpe, F., Shuldiner, AR., Cooper, C., Dedoussis, GV., Serrano-Ríos, M., Morris, AD., Lind, L., Palmer, LJ., Hu, FB., Franks, PW., Ebrahim, S., Marmot, M., Kao, WH., Pankow, JS., Sampson, MJ., Kuusisto, J., Laakso, M., Hansen, T., Pedersen, O., Pramstaller, PP., Wichmann, HE., Illig, T., Rudan, I., Wright, AF., Stumvoll, M., Campbell, H., Wilson, JF., Hamsten, A., Bergman, RN., Buchanan, TA., Collins, FS., Mohlke, KL., Tuomilehto, J., Valle, TT., Altshuler, D., Rotter, JI., Siscovick, DS., Penninx, BW., Boomsma, ID., Deloukas, P., Spector, TD., Frayling, TM., Ferrucci, L., Kong, A., Thorsteinsdottir, U., Stefansson, K., van Duijn CM., Aulchenko, YS., Cao, A., Scuteri, A., Schlessinger, D., Uda, M., Ruokonen, A., Jarvelin, MR., Waterworth, DM., Vollenweider, P., Peltonen, L., Mooser, V., Abecasis, RG., Wareham, NJ., Sladek, R., Froguel, P., Watanabe, RM., Meigs, JB., Groop, L., Boehnke, M., McCarthy, MI., Florez, JC., Barroso£££Inês£££ I., Feitosa, Mary [0000-0002-0933-2410], Heard-Costa, Nancy [0000-0001-9730-0306], Newman, Anne B [0000-0002-0106-1150], Miljkovic, Iva [0000-0002-3155-9777], Kritchevsky, Stephen B [0000-0003-3336-6781], Carr, J Jeffrey [0000-0002-4398-8237], Gudnason, Vilmunder [0000-0001-5696-0084], Cupples, L Adrienne [0000-0003-0273-7965], Apollo - University of Cambridge Repository, and Medical Research Council (MRC)

Subjects
Male, Netherlands Twin Register (NTR), Cancer Research, Adipose tissue, Genome-wide association study, QH426-470, FTO gene, Body Mass Index, 0302 clinical medicine, Genetics (clinical), TISSUE DISTRIBUTION, GENE-EXPRESSION, 2. Zero hunger, ATHEROSCLEROSIS MESA, 0303 health sciences, INSULIN-RESISTANCE, Sex Characteristics, MAGIC Consortium, Adult, Aged, Cytokines/genetics, European Continental Ancestry Group, Female, Genome-Wide Association Study, HapMap Project, Humans, Intra-Abdominal Fat, Lysophospholipase/genetics, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proteins/genetics, Subcutaneous Fat, Abdominal, 3142 Public health care science, environmental and occupational health, CARDIOVASCULAR-DISEASE, OBESITY, Cytokines, Medicine, Lysophospholipase, Research Article, medicine.medical_specialty, Waist, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, 030209 endocrinology & metabolism, HIP RATIO, Biology, White People, GLGC Consortium, 03 medical and health sciences, Insulin resistance, Internal medicine, GIANT Consortium, medicine, Genetics, CORONARY-HEART-DISEASE, ddc:610, Molecular Biology, PERICARDIAL FAT, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0604 Genetics, Proteins, nutritional and metabolic diseases, medicine.disease, Obesity, Endocrinology, RISK-FACTORS, Body mass index, Developmental Biology
Abstract

Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed tomography (CT) to uncover novel loci for body fat distribution among participants of European ancestry. Subcutaneous and visceral fat were quantified in 5,560 women and 4,997 men from 4 population-based studies. Genome-wide genotyping was performed using standard arrays and imputed to ∼2.5 million Hapmap SNPs. Each study performed a genome-wide association analysis of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), VAT adjusted for body mass index, and VAT/SAT ratio (a metric of the propensity to store fat viscerally as compared to subcutaneously) in the overall sample and in women and men separately. A weighted z-score meta-analysis was conducted. For the VAT/SAT ratio, our most significant p-value was rs11118316 at LYPLAL1 gene (p = 3.1×10E-09), previously identified in association with waist–hip ratio. For SAT, the most significant SNP was in the FTO gene (p = 5.9×10E-08). Given the known gender differences in body fat distribution, we performed sex-specific analyses. Our most significant finding was for VAT in women, rs1659258 near THNSL2 (p = 1.6×10-08), but not men (p = 0.75). Validation of this SNP in the GIANT consortium data demonstrated a similar sex-specific pattern, with observed significance in women (p = 0.006) but not men (p = 0.24) for BMI and waist circumference (p = 0.04 [women], p = 0.49 [men]). Finally, we interrogated our data for the 14 recently published loci for body fat distribution (measured by waist–hip ratio adjusted for BMI); associations were observed at 7 of these loci. In contrast, we observed associations at only 7/32 loci previously identified in association with BMI; the majority of overlap was observed with SAT. Genome-wide association for visceral and subcutaneous fat revealed a SNP for VAT in women. More refined phenotypes for body composition and fat distribution can detect new loci not previously uncovered in large-scale GWAS of anthropometric traits., Author Summary Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed tomography (CT) to uncover novel loci for body fat distribution among participants of European ancestry. We quantified subcutaneous and visceral fat in more than 10,000 women and men who also had genome-wide association data available. Given the known gender differences in body fat distribution, we performed sex-specific analyses. Our most significant finding was for VAT in women, near the THNSL2 gene. These findings were not observed in men. We also interrogated our data for the 14 recently published loci for body fat distribution (measured by waist–hip ratio adjusted for BMI); associations were observed for 7 of these loci, most notably for VAT/SAT ratio. We conclude that genome-wide association for visceral and subcutaneous fat revealed a SNP for VAT in women. More refined phenotypes for body composition and fat distribution can detect new loci not uncovered in large-scale GWAS of anthropometric traits.

Published
2012

2. Detailed genetic and functional analysis of the hDMDdel52/mdx mouse model.

Author

Yavas A, Weij R, van Putten M, Kourkouta E, Beekman C, Puoliväli J, Bragge T, Ahtoniemi T, Knijnenburg J, Hoogenboom ME, Ariyurek Y, Aartsma-Rus A, van Deutekom J, and Datson N

Subjects
Animals, Biomechanical Phenomena, Dystrophin metabolism, Exons, Gait, Humans, Male, Mice, Mice, Inbred mdx, Muscular Dystrophy, Duchenne pathology, Disease Models, Animal, Dystrophin genetics, Gene Deletion, Muscular Dystrophy, Duchenne genetics, Phenotype, Transgenes
Abstract

Duchenne muscular dystrophy (DMD) is a severe, progressive neuromuscular disorder caused by reading frame disrupting mutations in the DMD gene leading to absence of functional dystrophin. Antisense oligonucleotide (AON)-mediated exon skipping is a therapeutic approach aimed at restoring the reading frame at the pre-mRNA level, allowing the production of internally truncated partly functional dystrophin proteins. AONs work in a sequence specific manner, which warrants generating humanized mouse models for preclinical tests. To address this, we previously generated the hDMDdel52/mdx mouse model using transcription activator like effector nuclease (TALEN) technology. This model contains mutated murine and human DMD genes, and therefore lacks mouse and human dystrophin resulting in a dystrophic phenotype. It allows preclinical evaluation of AONs inducing the skipping of human DMD exons 51 and 53 and resulting in restoration of dystrophin synthesis. Here, we have further characterized this model genetically and functionally. We discovered that the hDMD and hDMDdel52 transgene is present twice per locus, in a tail-to-tail-orientation. Long-read sequencing revealed a partial deletion of exon 52 (first 25 bp), and a 2.3 kb inversion in intron 51 in both copies. These new findings on the genomic make-up of the hDMD and hDMDdel52 transgene do not affect exon 51 and/or 53 skipping, but do underline the need for extensive genetic analysis of mice generated with genome editing techniques to elucidate additional genetic changes that might have occurred. The hDMDdel52/mdx mice were also evaluated functionally using kinematic gait analysis. This revealed a clear and highly significant difference in overall gait between hDMDdel52/mdx mice and C57BL6/J controls. The motor deficit detected in the model confirms its suitability for preclinical testing of exon skipping AONs for human DMD at both the functional and molecular level., Competing Interests: AAR discloses being employed by LUMC which has patents on exon skipping technology, some of which has been licensed to BioMarin and subsequently sublicensed to Sarepta. As co-inventor of some of these patents AAR is entitled to a share of royalties. AAR further discloses being ad hoc consultant for PTC Therapeutics, Sarepta Therapeutics, CRISPR Therapeutics, Summit PLC, Alpha Anomeric, BioMarin Pharmaceuticals Inc., Eisai, Astra Zeneca, Santhera, Audentes, Global Guidepoint and GLG consultancy, Grunenthal, Wave and BioClinica, having been a member of the Duchenne Network Steering Committee (BioMarin) and being a member of the scientific advisory boards of ProQR, Sarepta, Silence and Philae Pharmaceuticals. Remuneration for these activities is paid to LUMC. LUMC also received speaker honoraria from PTC Therapeutics and BioMarin Pharmaceuticals and funding for contract research from Italpharmaco and Alpha Anomeric. RW, EK, CB, JvD and ND are (former) employees of BioMarin Nederland BV (formerly Prosensa Therapeutics BV) and performed the work with company budget in the form of salaries, equipment and facilities. JvD discloses being co-inventor on patents on exon skipping technology, some of which has been licensed to BioMarin and subsequently sublicensed to Sarepta. As co-inventor of some of these patents JvD is entitled to a share of royalties. JP, TB and TA are employees of Charles River Research Discovery Services in Finland and have no financial conflict of interest related to the submitted manuscript. Other authors have nothing to declare. The commercial affiliations of authors with Biomarin Pharmaceutical Ltd. and Charles River do not alter our adherence to PLOS ONE policies on sharing data and materials.

Published
2020
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3. DeepSAGE reveals genetic variants associated with alternative polyadenylation and expression of coding and non-coding transcripts.

Author

Zhernakova DV, de Klerk E, Westra HJ, Mastrokolias A, Amini S, Ariyurek Y, Jansen R, Penninx BW, Hottenga JJ, Willemsen G, de Geus EJ, Boomsma DI, Veldink JH, van den Berg LH, Wijmenga C, den Dunnen JT, van Ommen GJ, 't Hoen PA, and Franke L

Subjects
3' Untranslated Regions genetics, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Humans, Polymorphism, Single Nucleotide, Gene Expression Regulation genetics, Polyadenylation genetics, Quantitative Trait Loci genetics, Retroelements genetics
Abstract

Many disease-associated variants affect gene expression levels (expression quantitative trait loci, eQTLs) and expression profiling using next generation sequencing (NGS) technology is a powerful way to detect these eQTLs. We analyzed 94 total blood samples from healthy volunteers with DeepSAGE to gain specific insight into how genetic variants affect the expression of genes and lengths of 3'-untranslated regions (3'-UTRs). We detected previously unknown cis-eQTL effects for GWAS hits in disease- and physiology-associated traits. Apart from cis-eQTLs that are typically easily identifiable using microarrays or RNA-sequencing, DeepSAGE also revealed many cis-eQTLs for antisense and other non-coding transcripts, often in genomic regions containing retrotransposon-derived elements. We also identified and confirmed SNPs that affect the usage of alternative polyadenylation sites, thereby potentially influencing the stability of messenger RNAs (mRNA). We then combined the power of RNA-sequencing with DeepSAGE by performing a meta-analysis of three datasets, leading to the identification of many more cis-eQTLs. Our results indicate that DeepSAGE data is useful for eQTL mapping of known and unknown transcripts, and for identifying SNPs that affect alternative polyadenylation. Because of the inherent differences between DeepSAGE and RNA-sequencing, our complementary, integrative approach leads to greater insight into the molecular consequences of many disease-associated variants., Competing Interests: The authors have declared that no competing interests exist.

Published
2013
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4. A genome-wide association search for type 2 diabetes genes in African Americans.

Author

Palmer ND, McDonough CW, Hicks PJ, Roh BH, Wing MR, An SS, Hester JM, Cooke JN, Bostrom MA, Rudock ME, Talbert ME, Lewis JP, Ferrara A, Lu L, Ziegler JT, Sale MM, Divers J, Shriner D, Adeyemo A, Rotimi CN, Ng MC, Langefeld CD, Freedman BI, Bowden DW, Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Langenberg C, Hofmann OM, Dupuis J, Qi L, Segrè AV, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Couper DJ, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Klopp N, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, Lieverse A, Lindgren CM, Lyssenko V, Marre M, Meitinger T, Midthjell K, Morken MA, Narisu N, Nilsson P, Owen KR, Payne F, Perry JR, Petersen AK, Platou C, Proença C, Prokopenko I, Rathmann W, Rayner NW, Robertson NR, Rocheleau G, Roden M, Sampson MJ, Saxena R, Shields BM, Shrader P, Sigurdsson G, Sparsø T, Strassburger K, Stringham HM, Sun Q, Swift AJ, Thorand B, Tichet J, Tuomi T, van Dam RM, van Haeften TW, van Herpt T, van Vliet-Ostaptchouk JV, Walters GB, Weedon MN, Wijmenga C, Witteman J, Bergman RN, Cauchi S, Collins FS, Gloyn AL, Gyllensten U, Hansen T, Hide WA, Hitman GA, Hofman A, Hunter DJ, Hveem K, Laakso M, Mohlke KL, Morris AD, Palmer CN, Pramstaller PP, Rudan I, Sijbrands E, Stein LD, Tuomilehto J, Uitterlinden A, Walker M, Wareham NJ, Watanabe RM, Abecasis GR, Boehm BO, Campbell H, Daly MJ, Hattersley AT, Hu FB, Meigs JB, Pankow JS, Pedersen O, Wichmann HE, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Altshuler D, Boehnke M, McCarthy MI, Soranzo N, Wheeler E, Glazer NL, Bouatia-Naji N, Mägi R, Randall J, Johnson T, Elliott P, Rybin D, Henneman P, Dehghan A, Hottenga JJ, Song K, Goel A, Egan JM, Lajunen T, Doney A, Kanoni S, Cavalcanti-Proença C, Kumari M, Timpson NJ, Zabena C, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, McCarroll SA, Roccasecca RM, Pattou F, Sethupathy P, Ariyurek Y, Barter P, Beilby JP, Ben-Shlomo Y, Bergmann S, Bochud M, Bonnefond A, Borch-Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Crisponi L, Day IN, de Geus EJ, Delplanque J, Fedson AC, Fischer-Rosinsky A, Forouhi NG, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Hicks AA, Hillman DR, Hingorani AD, Hui J, Hung J, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Mahley R, Mangino M, Manning AK, Martínez-Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Mukherjee S, Naitza S, Neville MJ, Oostra BA, Orrù M, Pakyz R, Paolisso G, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rayner NW, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Seedorf U, Sharp SJ, Shields B, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Uitterlinden AG, van Dijk KW, Varma D, Visvikis-Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Ward KL, Watkins H, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano-Ríos M, Lind L, Palmer LJ, Franks PW, Ebrahim S, Marmot M, Kao WH, Pramstaller PP, Wright AF, Stumvoll M, Hamsten A, Buchanan TA, Valle TT, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Ferrucci L, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, and Sladek R

Subjects
Adult, Aged, Case-Control Studies, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Validation Studies as Topic, Black or African American genetics, Diabetes Mellitus, Type 2 ethnology, Diabetes Mellitus, Type 2 genetics, Genome-Wide Association Study
Abstract

African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P<0.0071), were directionally consistent in the Replication cohort and were associated with T2DM in subjects without nephropathy (P<0.05). Meta-analysis in all cases and controls revealed a single SNP reaching genome-wide significance (P<2.5×10(-8)). SNP rs7560163 (P = 7.0×10(-9), OR (95% CI) = 0.75 (0.67-0.84)) is located intergenically between RND3 and RBM43. Four additional loci (rs7542900, rs4659485, rs2722769 and rs7107217) were associated with T2DM (P<0.05) and reached more nominal levels of significance (P<2.5×10(-5)) in the overall analysis and may represent novel loci that contribute to T2DM. We have identified novel T2DM-susceptibility variants in the African-American population. Notably, T2DM risk was associated with the major allele and implies an interesting genetic architecture in this population. These results suggest that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.

Published
2012
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5. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Author

Dastani Z, Hivert MF, Timpson N, Perry JR, Yuan X, Scott RA, Henneman P, Heid IM, Kizer JR, Lyytikäinen LP, Fuchsberger C, Tanaka T, Morris AP, Small K, Isaacs A, Beekman M, Coassin S, Lohman K, Qi L, Kanoni S, Pankow JS, Uh HW, Wu Y, Bidulescu A, Rasmussen-Torvik LJ, Greenwood CM, Ladouceur M, Grimsby J, Manning AK, Liu CT, Kooner J, Mooser VE, Vollenweider P, Kapur KA, Chambers J, Wareham NJ, Langenberg C, Frants R, Willems-Vandijk K, Oostra BA, Willems SM, Lamina C, Winkler TW, Psaty BM, Tracy RP, Brody J, Chen I, Viikari J, Kähönen M, Pramstaller PP, Evans DM, St Pourcain B, Sattar N, Wood AR, Bandinelli S, Carlson OD, Egan JM, Böhringer S, van Heemst D, Kedenko L, Kristiansson K, Nuotio ML, Loo BM, Harris T, Garcia M, Kanaya A, Haun M, Klopp N, Wichmann HE, Deloukas P, Katsareli E, Couper DJ, Duncan BB, Kloppenburg M, Adair LS, Borja JB, Wilson JG, Musani S, Guo X, Johnson T, Semple R, Teslovich TM, Allison MA, Redline S, Buxbaum SG, Mohlke KL, Meulenbelt I, Ballantyne CM, Dedoussis GV, Hu FB, Liu Y, Paulweber B, Spector TD, Slagboom PE, Ferrucci L, Jula A, Perola M, Raitakari O, Florez JC, Salomaa V, Eriksson JG, Frayling TM, Hicks AA, Lehtimäki T, Smith GD, Siscovick DS, Kronenberg F, van Duijn C, Loos RJ, Waterworth DM, Meigs JB, Dupuis J, Richards JB, Voight BF, Scott LJ, Steinthorsdottir V, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Hofmann OM, Segrè AV, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, 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Subjects
Adiponectin genetics, Black or African American, Asian People, Cholesterol, HDL genetics, Female, Gene Expression, Genetic Predisposition to Disease, Glucose Tolerance Test, Humans, Insulin Resistance genetics, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Waist-Hip Ratio, White People, Adiponectin blood, Diabetes Mellitus, Type 2 genetics, Genome-Wide Association Study
Abstract

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance., Competing Interests: DM Waterworth, X Yuan, and VE Mooser are full-time employees of GlaxoSmithKline. P Vollenweider received grant money from GlaxoSmithKline to fund the CoLaus study. The other authors declare no competing financial interests.

Published
2012
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