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51. Interaction of genetic risk and lifestyle on the incidence of atrial fibrillation

Author: Frederiksen, Tanja Charlotte, Christiansen, Morten Krogh, Benjamin, Emelia J., Overvad, Kim, Olsen, Anja, Andersen, Mette K., Hansen, Torben, Grarup, Niels, Jensen, Henrik Kjaerulf, Dahm, Christina C., Frederiksen, Tanja Charlotte, Christiansen, Morten Krogh, Benjamin, Emelia J., Overvad, Kim, Olsen, Anja, Andersen, Mette K., Hansen, Torben, Grarup, Niels, Jensen, Henrik Kjaerulf, and Dahm, Christina C.
Abstract: Background: The relationship between combined genetic predisposition and lifestyle and the risk of incident atrial fibrillation (AF) is unclear. Therefore, we aimed to assess a possible interaction between lifestyle and genetics on AF risk. Methods: We included AF cases and a randomly drawn subcohort of 4040 participants from the Danish Diet, Cancer and Health cohort. Lifestyle risk factors were assessed, a score was calculated, and participants were categorised as having a poor, intermediate, or ideal lifestyle. We calculated a genetic risk score comprising 142 variants, and categorised participants into low (quintile 1), intermediate (quintiles 2-4) or high (quintile 5) genetic risk of AF. Results: 3094 AF cases occurred during a median follow-up of 12.9 years. Regardless of genetic risk, incidence rates per 1000 person-years were gradually higher with worse lifestyle. For participants with high genetic risk, the incidence rates of AF per 1000 person-years were 5.0 (95% CI 3.4 to 7.3) among individuals with ideal lifestyle, 6.6 (95% CI 5.4 to 8.1) among those with intermediate lifestyle and 10.4 (95% CI 9.2 to 11.8) among participants with poor lifestyle. On an additive scale, there was a positive statistically significant interaction between genetic risk and lifestyle (relative excess risk due to interaction=0.86, 95% CI 0.68 to 1.03, p<0.001). Conclusions: The rates of AF increased gradually with worse lifestyle within each category of genetic risk. We found a positive interaction on an additive scale between genetic risk and lifestyle, suggesting that risk factor modification is especially important in individuals with a high genetic risk of AF.
Published: 2024

52. Genetic Aspects of Non-alcoholic Fatty Liver Disease (NAFLD)

Author: Stender, Stefan, Grarup, Niels, Hansen, Torben, Krag, Aleksander, editor, and Hansen, Torben, editor
Published: 2019
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53. Genomewide meta‐analysis identifies loci associated with IGF‐I and IGFBP‐3 levels with impact on age‐related traits

Author: Teumer, Alexander, Qi, Qibin, Nethander, Maria, Aschard, Hugues, Bandinelli, Stefania, Beekman, Marian, Berndt, Sonja I, Bidlingmaier, Martin, Broer, Linda, Group, CHARGE Longevity Working, Cappola, Anne, Ceda, Gian Paolo, Chanock, Stephen, Chen, Ming‐Huei, Chen, Tai C, Chen, Yii‐Der Ida, Chung, Jonathan, Del Greco Miglianico, Fabiola, Eriksson, Joel, Ferrucci, Luigi, Friedrich, Nele, Gnewuch, Carsten, Goodarzi, Mark O, Grarup, Niels, Guo, Tingwei, Hammer, Elke, Hayes, Richard B, Hicks, Andrew A, Hofman, Albert, Houwing‐Duistermaat, Jeanine J, Hu, Frank, Hunter, David J, Husemoen, Lise L, Isaacs, Aaron, Jacobs, Kevin B, Janssen, Joop AMJL, Jansson, John‐Olov, Jehmlich, Nico, Johnson, Simon, Juul, Anders, Karlsson, Magnus, Kilpelainen, Tuomas O, Kovacs, Peter, Kraft, Peter, Li, Chao, Linneberg, Allan, Liu, Yongmei, Loos, Ruth JF, Consortium, Body Composition Genetics, Lorentzon, Mattias, Lu, Yingchang, Maggio, Marcello, Magi, Reedik, Meigs, James, Mellström, Dan, Nauck, Matthias, Newman, Anne B, Pollak, Michael N, Pramstaller, Peter P, Prokopenko, Inga, Psaty, Bruce M, Reincke, Martin, Rimm, Eric B, Rotter, Jerome I, Pierre, Aude Saint, Schurmann, Claudia, Seshadri, Sudha, Sjögren, Klara, Slagboom, P Eline, Strickler, Howard D, Stumvoll, Michael, Suh, Yousin, Sun, Qi, Zhang, Cuilin, Svensson, Johan, Tanaka, Toshiko, Tare, Archana, Tönjes, Anke, Uh, Hae‐Won, van Duijn, Cornelia M, van Heemst, Diana, Vandenput, Liesbeth, Vasan, Ramachandran S, Völker, Uwe, Willems, Sara M, Ohlsson, Claes, Wallaschofski, Henri, and Kaplan, Robert C
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Research, Aging, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Cardiovascular, Adult, Female, Gene Expression Regulation, Genome-Wide Association Study, Humans, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Metabolome, Quantitative Trait Loci, Quantitative Trait, Heritable, Regulatory Sequences, Nucleic Acid, aging, genomewide association study, growth hormone axis, IGF-I, IGFBP-3, longevity, CHARGE Longevity Working Group, Body Composition Genetics Consortium, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract: The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30 884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF-I and IGFBP-3 concentrations (IGF1, IGFBP3, GCKR, TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype-phenotype associations between men and women, were found only for associations of IGFBP-3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90 years. The known longevity-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF-I and IGFBP-3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity-associated loci.
Published: 2016

54. Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci

Author: Walford, Geoffrey A, Gustafsson, Stefan, Rybin, Denis, Stančáková, Alena, Chen, Han, Liu, Ching-Ti, Hong, Jaeyoung, Jensen, Richard A, Rice, Ken, Morris, Andrew P, Mägi, Reedik, Tönjes, Anke, Prokopenko, Inga, Kleber, Marcus E, Delgado, Graciela, Silbernagel, Günther, Jackson, Anne U, Appel, Emil V, Grarup, Niels, Lewis, Joshua P, Montasser, May E, Landenvall, Claes, Staiger, Harald, Luan, Jian’an, Frayling, Timothy M, Weedon, Michael N, Xie, Weijia, Morcillo, Sonsoles, Martínez-Larrad, María Teresa, Biggs, Mary L, Chen, Yii-Der Ida, Corbaton-Anchuelo, Arturo, Færch, Kristine, Gómez-Zumaquero, Juan Miguel, Goodarzi, Mark O, Kizer, Jorge R, Koistinen, Heikki A, Leong, Aaron, Lind, Lars, Lindgren, Cecilia, Machicao, Fausto, Manning, Alisa K, Martín-Núñez, Gracia María, Rojo-Martínez, Gemma, Rotter, Jerome I, Siscovick, David S, Zmuda, Joseph M, Zhang, Zhongyang, Serrano-Rios, Manuel, Smith, Ulf, Soriguer, Federico, Hansen, Torben, Jørgensen, Torben J, Linnenberg, Allan, Pedersen, Oluf, Walker, Mark, Langenberg, Claudia, Scott, Robert A, Wareham, Nicholas J, Fritsche, Andreas, Häring, Hans-Ulrich, Stefan, Norbert, Groop, Leif, O’Connell, Jeff R, Boehnke, Michael, Bergman, Richard N, Collins, Francis S, Mohlke, Karen L, Tuomilehto, Jaakko, März, Winfried, Kovacs, Peter, Stumvoll, Michael, Psaty, Bruce M, Kuusisto, Johanna, Laakso, Markku, Meigs, James B, Dupuis, Josée, Ingelsson, Erik, and Florez, Jose C
Subjects: Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Chemokines, CC, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Insulin Resistance, Male, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-bcl-2, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract: Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 × 10(-11)), rs12454712 (BCL2; P = 2.7 × 10(-8)), and rs10506418 (FAM19A2; P = 1.9 × 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.
Published: 2016

55. Genome-wide associations for birth weight and correlations with adult disease

Author: Horikoshi, Momoko, Beaumont, Robin N, Day, Felix R, Warrington, Nicole M, Kooijman, Marjolein N, Fernandez-Tajes, Juan, Feenstra, Bjarke, van Zuydam, Natalie R, Gaulton, Kyle J, Grarup, Niels, Bradfield, Jonathan P, Strachan, David P, Li-Gao, Ruifang, Ahluwalia, Tarunveer S, Kreiner, Eskil, Rueedi, Rico, Lyytikäinen, Leo-Pekka, Cousminer, Diana L, Wu, Ying, Thiering, Elisabeth, Wang, Carol A, Have, Christian T, Hottenga, Jouke-Jan, Vilor-Tejedor, Natalia, Joshi, Peter K, Boh, Eileen Tai Hui, Ntalla, Ioanna, Pitkänen, Niina, Mahajan, Anubha, van Leeuwen, Elisabeth M, Joro, Raimo, Lagou, Vasiliki, Nodzenski, Michael, Diver, Louise A, Zondervan, Krina T, Bustamante, Mariona, Marques-Vidal, Pedro, Mercader, Josep M, Bennett, Amanda J, Rahmioglu, Nilufer, Nyholt, Dale R, Ma, Ronald CW, Tam, Claudia HT, Tam, Wing Hung, Ganesh, Santhi K, van Rooij, Frank JA, Jones, Samuel E, Loh, Po-Ru, Ruth, Katherine S, Tuke, Marcus A, Tyrrell, Jessica, Wood, Andrew R, Yaghootkar, Hanieh, Scholtens, Denise M, Paternoster, Lavinia, Prokopenko, Inga, Kovacs, Peter, Atalay, Mustafa, Willems, Sara M, Panoutsopoulou, Kalliope, Wang, Xu, Carstensen, Lisbeth, Geller, Frank, Schraut, Katharina E, Murcia, Mario, van Beijsterveldt, Catharina EM, Willemsen, Gonneke, Appel, Emil VR, Fonvig, Cilius E, Trier, Caecilie, Tiesler, Carla MT, Standl, Marie, Kutalik, Zoltán, Bonàs-Guarch, Sílvia, Hougaard, David M, Sánchez, Friman, Torrents, David, Waage, Johannes, Hollegaard, Mads V, de Haan, Hugoline G, Rosendaal, Frits R, Medina-Gomez, Carolina, Ring, Susan M, Hemani, Gibran, McMahon, George, Robertson, Neil R, Groves, Christopher J, Langenberg, Claudia, Luan, Jian’an, Scott, Robert A, Zhao, Jing Hua, Mentch, Frank D, MacKenzie, Scott M, Reynolds, Rebecca M, Lowe, William L, Tönjes, Anke, Stumvoll, Michael, Lindi, Virpi, Lakka, Timo A, and van Duijn, Cornelia M
Subjects: Nutrition, Perinatal Period - Conditions Originating in Perinatal Period, Human Genome, Genetics, Clinical Research, Preterm, Low Birth Weight and Health of the Newborn, Obesity, Prevention, Pediatric, Infant Mortality, 2.1 Biological and endogenous factors, Aetiology, Adult, Aging, Anthropometry, Birth Weight, Blood Pressure, Chromatin Assembly and Disassembly, Cohort Studies, Coronary Artery Disease, Datasets as Topic, Diabetes Mellitus, Type 2, Female, Fetus, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genomic Imprinting, Genotype, Glucose, Glycogen, Humans, Insulin, Male, Phenotype, Signal Transduction, CHARGE Consortium Hematology Working Group, Early Growth Genetics (EGG) Consortium, General Science & Technology
Abstract: Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P
Published: 2016

56. Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits

Author: Pankratz, Nathan, Schick, Ursula M, Zhou, Yi, Zhou, Wei, Ahluwalia, Tarunveer Singh, Allende, Maria Laura, Auer, Paul L, Bork-Jensen, Jette, Brody, Jennifer A, Chen, Ming-Huei, Clavo, Vinna, Eicher, John D, Grarup, Niels, Hagedorn, Elliott J, Hu, Bella, Hunker, Kristina, Johnson, Andrew D, Leusink, Maarten, Lu, Yingchang, Lyytikainen, Leo-Pekka, Manichaikul, Ani, Marioni, Riccardo E, Nalls, Mike A, Pazoki, Raha, Smith, Albert Vernon, van Rooij, Frank JA, Yang, Min-Lee, Zhang, Xiaoling, Zhang, Yan, Asselbergs, Folkert W, Boerwinkle, Eric, Borecki, Ingrid B, Bottinger, Erwin P, Cushman, Mary, de Bakker, Paul IW, Deary, Ian J, Dong, Liguang, Feitosa, Mary F, Floyd, James S, Franceschini, Nora, Franco, Oscar H, Garcia, Melissa E, Grove, Megan L, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B, Hofman, Albert, Jackson, Rebecca D, Jia, Jia, Kahonen, Mika, Launer, Lenore J, Lehtimaki, Terho, Liewald, David C, Linneberg, Allan, Liu, Yongmei, Loos, Ruth JF, Nguyen, Vy M, Numans, Mattijs E, Pedersen, Oluf, Psaty, Bruce M, Raitakari, Olli T, Rich, Stephen S, Rivadeneira, Fernando, Di Sant, Amanda M Rosa, Rotter, Jerome I, Starr, John M, Taylor, Kent D, Thuesen, Betina Heinsbaek, Tracy, Russell P, Uitterlinden, Andre G, Wang, Jiansong, Wang, Judy, Dehghan, Abbas, Huo, Yong, Cupples, L Adrienne, Wilson, James G, Proia, Richard L, Zon, Leonard I, O'Donnell, Christopher J, Reiner, Alex P, and Ganesh, Santhi K
Subjects: Biological Sciences, Genetics, Prevention, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Animals, Erythrocyte Count, Erythrocytes, Ethnicity, Exome, Female, Genetic Loci, Genome-Wide Association Study, Hematocrit, Humans, Male, Mice, Quantitative Trait Loci, Receptors, Lysosphingolipid, Zebrafish, CHARGE Consortium Hematology Working Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Hematologic measures such as hematocrit and white blood cell (WBC) count are heritable and clinically relevant. We analyzed erythrocyte and WBC phenotypes in 52,531 individuals (37,775 of European ancestry, 11,589 African Americans, and 3,167 Hispanic Americans) from 16 population-based cohorts with Illumina HumanExome BeadChip genotypes. We then performed replication analyses of new discoveries in 18,018 European-American women and 5,261 Han Chinese. We identified and replicated four new erythrocyte trait-locus associations (CEP89, SHROOM3, FADS2, and APOE) and six new WBC loci for neutrophil count (S1PR4), monocyte count (BTBD8, NLRP12, and IL17RA), eosinophil count (IRF1), and total WBC count (MYB). The association of a rare missense variant in S1PR4 supports the role of sphingosine-1-phosphate signaling in leukocyte trafficking and circulating neutrophil counts. Loss-of-function experiments for S1pr4 in mouse and s1pr4 in zebrafish demonstrated phenotypes consistent with the association observed in humans and altered kinetics of neutrophil recruitment and resolution in response to tissue injury.
Published: 2016

57. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease

Author: Scott, Robert A, Freitag, Daniel F, Li, Li, Chu, Audrey Y, Surendran, Praveen, Young, Robin, Grarup, Niels, Stancáková, Alena, Chen, Yuning, Varga, Tibor V, Yaghootkar, Hanieh, Luan, Jian’an, Zhao, Jing Hua, Willems, Sara M, Wessel, Jennifer, Wang, Shuai, Maruthur, Nisa, Michailidou, Kyriaki, Pirie, Ailith, van der Lee, Sven J, Gillson, Christopher, Al Olama, Ali Amin, Amouyel, Philippe, Arriola, Larraitz, Arveiler, Dominique, Aviles-Olmos, Iciar, Balkau, Beverley, Barricarte, Aurelio, Barroso, Inês, Garcia, Sara Benlloch, Bis, Joshua C, Blankenberg, Stefan, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Borecki, Ingrid B, Bork-Jensen, Jette, Bowden, Sarah, Caldas, Carlos, Caslake, Muriel, consortium, The CVD50, Cupples, L Adrienne, Cruchaga, Carlos, Czajkowski, Jacek, Hoed, Marcel den, Dunn, Janet A, Earl, Helena M, Ehret, Georg B, Ferrannini, Ele, Ferrieres, Jean, Foltynie, Thomas, Ford, Ian, Forouhi, Nita G, Gianfagna, Francesco, Gonzalez, Carlos, Grioni, Sara, Hiller, Louise, Jansson, Jan-Håkan, Jørgensen, Marit E, Jukema, J Wouter, Kaaks, Rudolf, Kee, Frank, Kerrison, Nicola D, Key, Timothy J, Kontto, Jukka, Kote-Jarai, Zsofia, Kraja, Aldi T, Kuulasmaa, Kari, Kuusisto, Johanna, Linneberg, Allan, Liu, Chunyu, Marenne, Gaëlle, Mohlke, Karen L, Morris, Andrew P, Muir, Kenneth, Müller-Nurasyid, Martina, Munroe, Patricia B, Navarro, Carmen, Nielsen, Sune F, Nilsson, Peter M, Nordestgaard, Børge G, Packard, Chris J, Palli, Domenico, Panico, Salvatore, Peloso, Gina M, Perola, Markus, Peters, Annette, Poole, Christopher J, Quirós, J Ramón, Rolandsson, Olov, Sacerdote, Carlotta, Salomaa, Veikko, Sánchez, María-José, Sattar, Naveed, Sharp, Stephen J, Sims, Rebecca, Slimani, Nadia, Smith, Jennifer A, Thompson, Deborah J, and Trompet, Stella
Subjects: Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Clinical Research, Diabetes, Human Genome, Cardiovascular, Prevention, Obesity, Genetics, Heart Disease, Heart Disease - Coronary Heart Disease, Clinical Trials and Supportive Activities, Aetiology, Development of treatments and therapeutic interventions, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Alleles, Coronary Disease, Diabetes Mellitus, Type 2, Dipeptidyl Peptidase 4, Genotype, Glucagon-Like Peptide-1 Receptor, Humans, Receptor, Cannabinoid, CB2, Receptor, Serotonin, 5-HT2C, Receptors, Somatostatin, Sodium-Glucose Transporter 1, CVD50 consortium, GERAD_EC Consortium, Neurology Working Group of the Cohorts for Heart, Aging Research in Genomic Epidemiology, Alzheimer’s Disease Genetics Consortium, Pancreatic Cancer Cohort Consortium, European Prospective Investigation into Cancer and Nutrition–Cardiovascular Disease, EPIC-InterAct, CHARGE consortium, CHD Exome+ Consortium, CARDIOGRAM Exome Consortium, Biological Sciences, Medical and Health Sciences, Medical biotechnology, Biomedical engineering
Abstract: Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11,806 individuals by targeted exome sequencing and follow-up in 39,979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.
Published: 2016

58. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.

Author: Kilpeläinen, Tuomas O, Carli, Jayne F Martin, Skowronski, Alicja A, Sun, Qi, Kriebel, Jennifer, Feitosa, Mary F, Hedman, Åsa K, Drong, Alexander W, Hayes, James E, Zhao, Jinghua, Pers, Tune H, Schick, Ursula, Grarup, Niels, Kutalik, Zoltán, Trompet, Stella, Mangino, Massimo, Kristiansson, Kati, Beekman, Marian, Lyytikäinen, Leo-Pekka, Eriksson, Joel, Henneman, Peter, Lahti, Jari, Tanaka, Toshiko, Luan, Jian'an, Del Greco M, Fabiola, Pasko, Dorota, Renström, Frida, Willems, Sara M, Mahajan, Anubha, Rose, Lynda M, Guo, Xiuqing, Liu, Yongmei, Kleber, Marcus E, Pérusse, Louis, Gaunt, Tom, Ahluwalia, Tarunveer S, Ju Sung, Yun, Ramos, Yolande F, Amin, Najaf, Amuzu, Antoinette, Barroso, Inês, Bellis, Claire, Blangero, John, Buckley, Brendan M, Böhringer, Stefan, I Chen, Yii-Der, de Craen, Anton JN, Crosslin, David R, Dale, Caroline E, Dastani, Zari, Day, Felix R, Deelen, Joris, Delgado, Graciela E, Demirkan, Ayse, Finucane, Francis M, Ford, Ian, Garcia, Melissa E, Gieger, Christian, Gustafsson, Stefan, Hallmans, Göran, Hankinson, Susan E, Havulinna, Aki S, Herder, Christian, Hernandez, Dena, Hicks, Andrew A, Hunter, David J, Illig, Thomas, Ingelsson, Erik, Ioan-Facsinay, Andreea, Jansson, John-Olov, Jenny, Nancy S, Jørgensen, Marit E, Jørgensen, Torben, Karlsson, Magnus, Koenig, Wolfgang, Kraft, Peter, Kwekkeboom, Joanneke, Laatikainen, Tiina, Ladwig, Karl-Heinz, LeDuc, Charles A, Lowe, Gordon, Lu, Yingchang, Marques-Vidal, Pedro, Meisinger, Christa, Menni, Cristina, Morris, Andrew P, Myers, Richard H, Männistö, Satu, Nalls, Mike A, Paternoster, Lavinia, Peters, Annette, Pradhan, Aruna D, Rankinen, Tuomo, Rasmussen-Torvik, Laura J, Rathmann, Wolfgang, Rice, Treva K, Brent Richards, J, Ridker, Paul M, Sattar, Naveed, and Savage, David B
Subjects: Adipose Tissue, Animals, Mice, Leptin, RNA, Messenger, Tissue Culture Techniques, Gene Expression Regulation, Male, Genome-Wide Association Study, Gene Knockdown Techniques, RNA, Messenger
Abstract: Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P
Published: 2016

59. Genome Wide Association Study of Preserved Ratio Impaired Spirometry (PRISm)

Author: Higbee, Daniel H., primary, Lirio, Alvin, additional, Hamilton, Fergus, additional, Granell, Raquel, additional, Wyss, Annah B., additional, London, Stephanie J., additional, Bartz, Traci M., additional, Gharib, Sina A., additional, Cho, Michael H., additional, Wan, Emily, additional, Silverman, Edwin, additional, Crapo, James D., additional, Lominchar, Jesus, additional, Hansen, Torben, additional, Grarup, Niels, additional, Dantoft, Thomas, additional, Kårhus, Line, additional, Linneberg, Allan, additional, O'Connor, George T., additional, Dupuis, Josée, additional, Xu, Hanfie, additional, De Vries, Maaike M., additional, Hu, Xiaowei, additional, Rich, Stephen S., additional, Barr, R. Graham, additional, Manichaikul, Ani, additional, Wijnant, Sara R. A., additional, Brusselle, Guy G., additional, Lahouse, Lies, additional, Li, Xuan, additional, Hernández Cordero, Ana I., additional, Obeidat, Ma'en, additional, Sin, Don D., additional, Harris, Sarah E., additional, Redmond, Paul, additional, Taylor, Adele M., additional, Cox, Simon R., additional, Williams, Alexander T., additional, Shrine, Nick, additional, John, Catherine, additional, Guyatt, Anna L., additional, Hall, Ian P., additional, Smith, George Davey, additional, Tobin, Martin D, additional, and Dodd, James W, additional
Published: 2023
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60. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

Author: Gaulton, Kyle J, Ferreira, Teresa, Lee, Yeji, Raimondo, Anne, Mägi, Reedik, Reschen, Michael E, Mahajan, Anubha, Locke, Adam, William Rayner, N, Robertson, Neil, Scott, Robert A, Prokopenko, Inga, Scott, Laura J, Green, Todd, Sparso, Thomas, Thuillier, Dorothee, Yengo, Loic, Grallert, Harald, Wahl, Simone, Frånberg, Mattias, Strawbridge, Rona J, Kestler, Hans, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Li, Man, Chen, Han, Fuchsberger, Christian, Kwan, Phoenix, Ma, Clement, Linderman, Michael, Lu, Yingchang, Thomsen, Soren K, Rundle, Jana K, Beer, Nicola L, van de Bunt, Martijn, Chalisey, Anil, Kang, Hyun Min, Voight, Benjamin F, Abecasis, Gonçalo R, Almgren, Peter, Baldassarre, Damiano, Balkau, Beverley, Benediktsson, Rafn, Blüher, Matthias, Boeing, Heiner, Bonnycastle, Lori L, Bottinger, Erwin P, Burtt, Noël P, Carey, Jason, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn C, Couper, David J, Crenshaw, Andrew T, van Dam, Rob M, Doney, Alex SF, Dorkhan, Mozhgan, Edkins, Sarah, Eriksson, Johan G, Esko, Tonu, Eury, Elodie, Fadista, João, Flannick, Jason, Fontanillas, Pierre, Fox, Caroline, Franks, Paul W, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Gottesman, Omri, Grant, George B, Grarup, Niels, Groves, Christopher J, Hassinen, Maija, Have, Christian T, Herder, Christian, Holmen, Oddgeir L, Hreidarsson, Astradur B, Humphries, Steve E, Hunter, David J, Jackson, Anne U, Jonsson, Anna, Jørgensen, Marit E, Jørgensen, Torben, Kao, Wen-Hong L, Kerrison, Nicola D, Kinnunen, Leena, Klopp, Norman, Kong, Augustine, Kovacs, Peter, Kraft, Peter, Kravic, Jasmina, and Langford, Cordelia
Subjects: Biological Sciences, Genetics, Liver Disease, Diabetes, Human Genome, Digestive Diseases, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Binding Sites, Case-Control Studies, Chromatin Immunoprecipitation, Chromosome Mapping, Diabetes Mellitus, Type 2, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Hepatocyte Nuclear Factor 3-beta, Humans, Islets of Langerhans, Liver, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Receptor, Melatonin, MT2, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
Published: 2015

61. Genome-wide association study of circulating levels of glucagon during an oral glucose tolerance test

Author: Jonsson, Anna, Stinson, Sara E., Torekov, Signe S., Clausen, Tine D., Færch, Kristine, Kelstrup, Louise, Grarup, Niels, Mathiesen, Elisabeth R., Damm, Peter, Witte, Daniel R., Jørgensen, Marit E., Pedersen, Oluf, Holst, Jens Juul, and Hansen, Torben
Published: 2021
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62. Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Author: Hicks, Steven A., Isaksen, Jonas L., Thambawita, Vajira, Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Strümke, Inga, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Halvorsen, Pål, Maleckar, Mary M., Riegler, Michael A., and Kanters, Jørgen K.
Published: 2021
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63. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Author: Thambawita, Vajira, Isaksen, Jonas L., Hicks, Steven A., Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Strümke, Inga, Hammer, Hugo L., Maleckar, Mary M., Halvorsen, Pål, Riegler, Michael A., and Kanters, Jørgen K.
Published: 2021
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64. Obesity, unfavourable lifestyle and genetic risk of type 2 diabetes: a case-cohort study

Author: Schnurr, Theresia M., Jakupović, Hermina, Carrasquilla, Germán D., Ängquist, Lars, Grarup, Niels, Sørensen, Thorkild I. A., Tjønneland, Anne, Overvad, Kim, Pedersen, Oluf, Hansen, Torben, and Kilpeläinen, Tuomas O.
Published: 2020
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65. Estimating narrow-sense heritability using family data from admixed populations

Author: Athanasiadis, Georgios, Speed, Doug, Andersen, Mette K., Appel, Emil V. R., Grarup, Niels, Brandslund, Ivan, Jørgensen, Marit Eika, Larsen, Christina Viskum Lytken, Bjerregaard, Peter, Hansen, Torben, and Albrechtsen, Anders
Published: 2020
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66. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

Author: Wessel, Jennifer, Chu, Audrey Y, Willems, Sara M, Wang, Shuai, Yaghootkar, Hanieh, Brody, Jennifer A, Dauriz, Marco, Hivert, Marie-France, Raghavan, Sridharan, Lipovich, Leonard, Hidalgo, Bertha, Fox, Keolu, Huffman, Jennifer E, An, Ping, Lu, Yingchang, Rasmussen-Torvik, Laura J, Grarup, Niels, Ehm, Margaret G, Li, Li, Baldridge, Abigail S, Stančáková, Alena, Abrol, Ravinder, Besse, Céline, Boland, Anne, Bork-Jensen, Jette, Fornage, Myriam, Freitag, Daniel F, Garcia, Melissa E, Guo, Xiuqing, Hara, Kazuo, Isaacs, Aaron, Jakobsdottir, Johanna, Lange, Leslie A, Layton, Jill C, Li, Man, Hua Zhao, Jing, Meidtner, Karina, Morrison, Alanna C, Nalls, Mike A, Peters, Marjolein J, Sabater-Lleal, Maria, Schurmann, Claudia, Silveira, Angela, Smith, Albert V, Southam, Lorraine, Stoiber, Marcus H, Strawbridge, Rona J, Taylor, Kent D, Varga, Tibor V, Allin, Kristine H, Amin, Najaf, Aponte, Jennifer L, Aung, Tin, Barbieri, Caterina, Bihlmeyer, Nathan A, Boehnke, Michael, Bombieri, Cristina, Bowden, Donald W, Burns, Sean M, Chen, Yuning, Chen, Yii-DerI, Cheng, Ching-Yu, Correa, Adolfo, Czajkowski, Jacek, Dehghan, Abbas, Ehret, Georg B, Eiriksdottir, Gudny, Escher, Stefan A, Farmaki, Aliki-Eleni, Frånberg, Mattias, Gambaro, Giovanni, Giulianini, Franco, Goddard, William A, Goel, Anuj, Gottesman, Omri, Grove, Megan L, Gustafsson, Stefan, Hai, Yang, Hallmans, Göran, Heo, Jiyoung, Hoffmann, Per, Ikram, Mohammad K, Jensen, Richard A, Jørgensen, Marit E, Jørgensen, Torben, Karaleftheri, Maria, Khor, Chiea C, Kirkpatrick, Andrea, Kraja, Aldi T, Kuusisto, Johanna, Lange, Ethan M, Lee, IT, Lee, Wen-Jane, Leong, Aaron, Liao, Jiemin, Liu, Chunyu, Liu, Yongmei, Lindgren, Cecilia M, Linneberg, Allan, and Malerba, Giovanni
Subjects: EPIC-InterAct Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Insulin, Glucose-6-Phosphatase, Blood Glucose, Oligonucleotide Array Sequence Analysis, Fasting, Polymorphism, Single Nucleotide, African Continental Ancestry Group, European Continental Ancestry Group, Genetic Variation, Genetic Loci, Genetic Association Studies, Mutation Rate, Exome, Glucagon-Like Peptide-1 Receptor, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Diabetes, Genetics, Nutrition, Clinical Research, Prevention, Human Genome, 2.1 Biological and endogenous factors, Metabolic and Endocrine
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.
Published: 2015

67. Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.

Author: Mahajan, Anubha, Sim, Xueling, Ng, Hui Jin, Manning, Alisa, Rivas, Manuel A, Highland, Heather M, Locke, Adam E, Grarup, Niels, Im, Hae Kyung, Cingolani, Pablo, Flannick, Jason, Fontanillas, Pierre, Fuchsberger, Christian, Gaulton, Kyle J, Teslovich, Tanya M, Rayner, N William, Robertson, Neil R, Beer, Nicola L, Rundle, Jana K, Bork-Jensen, Jette, Ladenvall, Claes, Blancher, Christine, Buck, David, Buck, Gemma, Burtt, Noël P, Gabriel, Stacey, Gjesing, Anette P, Groves, Christopher J, Hollensted, Mette, Huyghe, Jeroen R, Jackson, Anne U, Jun, Goo, Justesen, Johanne Marie, Mangino, Massimo, Murphy, Jacquelyn, Neville, Matt, Onofrio, Robert, Small, Kerrin S, Stringham, Heather M, Syvänen, Ann-Christine, Trakalo, Joseph, Abecasis, Goncalo, Bell, Graeme I, Blangero, John, Cox, Nancy J, Duggirala, Ravindranath, Hanis, Craig L, Seielstad, Mark, Wilson, James G, Christensen, Cramer, Brandslund, Ivan, Rauramaa, Rainer, Surdulescu, Gabriela L, Doney, Alex SF, Lannfelt, Lars, Linneberg, Allan, Isomaa, Bo, Tuomi, Tiinamaija, Jørgensen, Marit E, Jørgensen, Torben, Kuusisto, Johanna, Uusitupa, Matti, Salomaa, Veikko, Spector, Timothy D, Morris, Andrew D, Palmer, Colin NA, Collins, Francis S, Mohlke, Karen L, Bergman, Richard N, Ingelsson, Erik, Lind, Lars, Tuomilehto, Jaakko, Hansen, Torben, Watanabe, Richard M, Prokopenko, Inga, Dupuis, Josee, Karpe, Fredrik, Groop, Leif, Laakso, Markku, Pedersen, Oluf, Florez, Jose C, Morris, Andrew P, Altshuler, David, Meigs, James B, Boehnke, Michael, McCarthy, Mark I, Lindgren, Cecilia M, Gloyn, Anna L, and T2D-GENES consortium and GoT2D consortium
Subjects: T2D-GENES consortium and GoT2D consortium, Humans, Diabetes Mellitus, Type 2, Insulin, Glucose-6-Phosphatase, Blood Glucose, Receptors, Glucagon, Glycemic Index, Gene Frequency, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Exome, Glucagon-Like Peptide-1 Receptor, Diabetes Mellitus, Type 2, Receptors, Glucagon, Polymorphism, Single Nucleotide, Genetics, Developmental Biology
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
Published: 2015

68. Uncovering the Genetic History of the Present-Day Greenlandic Population

Author: Moltke, Ida, Fumagalli, Matteo, Korneliussen, Thorfinn S, Crawford, Jacob E, Bjerregaard, Peter, Jørgensen, Marit E, Grarup, Niels, Gulløv, Hans Christian, Linneberg, Allan, Pedersen, Oluf, Hansen, Torben, Nielsen, Rasmus, and Albrechtsen, Anders
Subjects: Biological Sciences, Genetics, Adult, DNA, Mitochondrial, Databases, Factual, Evolution, Molecular, Female, Gene Flow, Gene Frequency, Genome, Human, Genotype, Genotyping Techniques, Greenland, Humans, Male, Models, Genetic, Phylogeography, Polymorphism, Single Nucleotide, White People, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Because of past limitations in samples and genotyping technologies, important questions about the history of the present-day Greenlandic population remain unanswered. In an effort to answer these questions and in general investigate the genetic history of the Greenlandic population, we analyzed ∼200,000 SNPs from more than 10% of the adult Greenlandic population (n = 4,674). We found that recent gene flow from Europe has had a substantial impact on the population: more than 80% of the Greenlanders have some European ancestry (on average ∼25% of their genome). However, we also found that the amount of recent European gene flow varies across Greenland and is far smaller in the more historically isolated areas in the north and east and in the small villages in the south. Furthermore, we found that there is substantial population structure in the Inuit genetic component of the Greenlanders and that individuals from the east, west, and north can be distinguished from each other. Moreover, the genetic differences in the Inuit ancestry are consistent with a single colonization wave of the island from north to west to south to east. Although it has been speculated that there has been historical admixture between the Norse Vikings who lived in Greenland for a limited period ∼600-1,000 years ago and the Inuit, we found no evidence supporting this hypothesis. Similarly, we found no evidence supporting a previously hypothesized admixture event between the Inuit in East Greenland and the Dorset people, who lived in Greenland before the Inuit.
Published: 2015

69. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants 2–4

Author: Dashti, Hassan S, Follis, Jack L, Smith, Caren E, Tanaka, Toshiko, Cade, Brian E, Gottlieb, Daniel J, Hruby, Adela, Jacques, Paul F, Lamon-Fava, Stefania, Richardson, Kris, Saxena, Richa, Scheer, Frank AJL, Kovanen, Leena, Bartz, Traci M, Perälä, Mia-Maria, Jonsson, Anna, Frazier-Wood, Alexis C, Kalafati, Ioanna-Panagiota, Mikkilä, Vera, Partonen, Timo, Lemaitre, Rozenn N, Lahti, Jari, Hernandez, Dena G, Toft, Ulla, Johnson, W Craig, Kanoni, Stavroula, Raitakari, Olli T, Perola, Markus, Psaty, Bruce M, Ferrucci, Luigi, Grarup, Niels, Highland, Heather M, Rallidis, Loukianos, Kähönen, Mika, Havulinna, Aki S, Siscovick, David S, Räikkönen, Katri, Jørgensen, Torben, Rotter, Jerome I, Deloukas, Panos, Viikari, Jorma SA, Mozaffarian, Dariush, Linneberg, Allan, Seppälä, Ilkka, Hansen, Torben, Salomaa, Veikko, Gharib, Sina A, Eriksson, Johan G, Bandinelli, Stefania, Pedersen, Oluf, Rich, Stephen S, Dedoussis, George, Lehtimäki, Terho, and Ordovás, José M
Subjects: Aging, Sleep Research, Obesity, Prevention, Nutrition, Genetics, Neurosciences, Behavioral and Social Science, Oral and gastrointestinal, Cardiovascular, Metabolic and endocrine, Cancer, Adult, Body Mass Index, CLOCK Proteins, Cohort Studies, Cross-Sectional Studies, Diet, Dietary Proteins, Energy Intake, Fatty Acids, Unsaturated, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Sleep, White People, Young Adult, CLOCK, circadian rhythm, dietary intake, gene-environment interaction, sleep duration, gene-environment, interaction, Engineering, Medical and Health Sciences, Nutrition & Dietetics
Abstract: BackgroundShort sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.ObjectivesWe examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.DesignWe conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.ResultsWe observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.ConclusionsOur results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.
Published: 2015

70. SMIM1 absence is associated with reduced energy expenditure and excess weight

Author: Banasik, Karina, Bay, Jakob, Boldsen, Jens Kjærgaard, Brodersen, Thorsten, Brunak, Søren, Burgdorf, Kristoffer, Chalmer, Mona Ameri, Didriksen, Maria, Dinh, Khoa Manh, Dowsett, Joseph, Erikstrup, Christian, Feenstra, Bjarke, Geller, Frank, Gudbjartsson, Daniel, Hansen, Thomas Folkmann, Hindhede, Lotte, Hjalgrim, Henrik, Jacobsen, Rikke Louise, Jemec, Gregor, Jensen, Bitten Aagaard, Kaspersen, Katrine, Kjerulff, Bertram Dalskov, Kogelman, Lisette, Hørup Larsen, Margit Anita, Louloudis, Ioannis, Lundgaard, Agnete, Susan, Mikkelsen, Christina, Nissen, Ioanna, Nyegaard, Mette, Ostrowski, Sisse Rye, Pedersen, Ole Birger, Henriksen, Alexander Pil, Rohde, Palle Duun, Rostgaard, Klaus, Schwinn, Michael, Stefansson, Kari, Stefánsson, Hreinn, Sørensen, Erik, þorsteinsdóttir, Unnur, Thørner, Lise Wegner, Bruun, Mie Topholm, Ullum, Henrik, Werge, Thomas, Westergaard, David, Chen, Ji, Spracklen, Cassandra N., Marenne, Gaëlle, Varshney, Arushi, Corbin, Laura J., Luan, Jian’an, Willems, Sara M., Wu, Ying, Zhang, Xiaoshuai, Horikoshi, Momoko, Boutin, Thibaud S., Mägi, Reedik, Waage, Johannes, Li-Gao, Ruifang, Katie Chan, Kei Hang, Yao, Jie, Anasanti, Mila D., Chu, Audrey Y., Claringbould, Annique, Heikkinen, Jani, Hong, Jaeyoung, Hottenga, Jouke-Jan, Huo, Shaofeng, Kaakinen, Marika A., Louie, Tin, März, Winfried, Moreno-Macias, Hortensia, Ndungu, Anne, Nelson, Sarah C., Nolte, Ilja M., North, Kari E., Raulerson, Chelsea K., Ray, Debashree, Rohde, Rebecca, Rybin, Denis, Schurmann, Claudia, Sim, Xueling, Southam, Loz, Stewart, Isobel D., Wang, Carol A., Wang, Yujie, Wu, Peitao, Zhang, Weihua, Ahluwalia, Tarunveer S., Appel, Emil V.R., Bielak, Lawrence F., Brody, Jennifer A., Burtt, Noël P., Cabrera, Claudia P., Cade, Brian E., Chai, Jin Fang, Chai, Xiaoran, Chang, Li-Ching, Chen, Chien-Hsiun, Chen, Brian H., Chitrala, Kumaraswamy Naidu, Chiu, Yen-Feng, de Haan, Hugoline G., Delgado, Graciela E., Demirkan, Ayse, Duan, Qing, Engmann, Jorgen, Fatumo, Segun A., Gayán, Javier, Giulianini, Franco, Gong, Jung Ho, Gustafsson, Stefan, Hai, Yang, Hartwig, Fernando P., He, Jing, Heianza, Yoriko, Huang, Tao, Huerta-Chagoya, Alicia, Hwang, Mi Yeong, Jensen, Richard A., Kawaguchi, Takahisa, Kentistou, Katherine A., Kim, Young Jin, Kleber, Marcus E., Kooner, Ishminder K., Lai, Shuiqing, Lange, Leslie A., Langefeld, Carl D., Lauzon, Marie, Li, Man, Ligthart, Symen, Liu, Jun, Loh, Marie, Long, Jirong, Lyssenko, Valeriya, Mangino, Massimo, Marzi, Carola, Montasser, May E., Nag, Abhishek, Nakatochi, Masahiro, Noce, Damia, Noordam, Raymond, Pistis, Giorgio, Preuss, Michael, Raffield, Laura, Rasmussen-Torvik, Laura J., Rich, Stephen S., Robertson, Neil R., Rueedi, Rico, Ryan, Kathleen, Sanna, Serena, Saxena, Richa, Schraut, Katharina E., Sennblad, Bengt, Setoh, Kazuya, Smith, Albert V., Southam, Lorraine, Sparsø, Thomas, Strawbridge, Rona J., Takeuchi, Fumihiko, Tan, Jingyi, Trompet, Stella, van den Akker, Erik, van der Most, Peter J., Verweij, Niek, Vogel, Mandy, Wang, Heming, Wang, Chaolong, Wang, Nan, Warren, Helen R., Wen, Wanqing, Wilsgaard, Tom, Wong, Andrew, Wood, Andrew R., Xie, Tian, Zafarmand, Mohammad Hadi, Zhao, Jing-Hua, Zhao, Wei, Amin, Najaf, Arzumanyan, Zorayr, Astrup, Arne, Bakker, Stephan J.L., Baldassarre, Damiano, Beekman, Marian, Bergman, Richard N., Bertoni, Alain, Blüher, Matthias, Bonnycastle, Lori L., Bornstein, Stefan R., Bowden, Donald W., Cai, Qiuyin, Campbell, Archie, Campbell, Harry, Chang, Yi Cheng, de Geus, Eco J.C., Dehghan, Abbas, Du, Shufa, Eiriksdottir, Gudny, Farmaki, Aliki Eleni, Frånberg, Mattias, Fuchsberger, Christian, Gao, Yutang, Gjesing, Anette P., Goel, Anuj, Han, Sohee, Hartman, Catharina A., Herder, Christian, Hicks, Andrew A., Hsieh, Chang-Hsun, Hsueh, Willa A., Ichihara, Sahoko, Igase, Michiya, Ikram, M. Arfan, Johnson, W. Craig, Jørgensen, Marit E., Joshi, Peter K., Kalyani, Rita R., Kandeel, Fouad R., Katsuya, Tomohiro, Khor, Chiea Chuen, Kiess, Wieland, Kolcic, Ivana, Kuulasmaa, Teemu, Kuusisto, Johanna, Läll, Kristi, Lam, Kelvin, Lawlor, Deborah A., Lee, Nanette R., Lemaitre, Rozenn N., Li, Honglan, Lin, Shih-Yi, Lindström, Jaana, Linneberg, Allan, Liu, Jianjun, Lorenzo, Carlos, Matsubara, Tatsuaki, Matsuda, Fumihiko, Mingrone, Geltrude, Mooijaart, Simon, Moon, Sanghoon, Nabika, Toru, Nadkarni, Girish N., Nadler, Jerry L., Nelis, Mari, Neville, Matt J., Norris, Jill M., Ohyagi, Yasumasa, Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Qi, Qibin, Raven, Dennis, Reilly, Dermot F., Reiner, Alex, Rivideneira, Fernando, Roll, Kathryn, Rudan, Igor, Sabanayagam, Charumathi, Sandow, Kevin, Sattar, Naveed, Schürmann, Annette, Shi, Jinxiu, Stringham, Heather M., Taylor, Kent D., Teslovich, Tanya M., Thuesen, Betina, Timmers, Paul R.H.J., Tremoli, Elena, Tsai, Michael Y., Uitterlinden, Andre, van Dam, Rob M., van Heemst, Diana, van Hylckama Vlieg, Astrid, Van Vliet-Ostaptchouk, Jana V., Vangipurapu, Jagadish, Vestergaard, Henrik, Wang, Tao, Willems van Dijk, Ko, Zemunik, Tatijana, Abecasis, Goncalo R., Adair, Linda S., Aguilar-Salinas, Carlos Alberto, Alarcón-Riquelme, Marta E., An, Ping, Aviles-Santa, Larissa, Becker, Diane M., Beilin, Lawrence J., Bergmann, Sven, Bisgaard, Hans, Black, Corri, Boehnke, Michael, Boerwinkle, Eric, Böhm, Bernhard O., Bønnelykke, Klaus, Boomsma, D.I., Bottinger, Erwin P., Buchanan, Thomas A., Canouil, Mickaël, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Ida Chen, Yii-Der, Cheng, Ching-Yu, Collins, Francis S., Correa, Adolfo, Cucca, Francesco, Janaka de Silva, H., Dedoussis, George, Elmståhl, Sölve, Evans, Michele K., Ferrannini, Ele, Ferrucci, Luigi, Florez, Jose C., Franks, Paul W., Frayling, Timothy M., Froguel, Philippe, Gigante, Bruna, Goodarzi, Mark O., Gordon-Larsen, Penny, Grallert, Harald, Grarup, Niels, Grimsgaard, Sameline, Groop, Leif, Gudnason, Vilmundur, Guo, Xiuqing, Hamsten, Anders, Hansen, Torben, Hayward, Caroline, Heckbert, Susan R., Horta, Bernardo L., Huang, Wei, Ingelsson, Erik, James, Pankow S., Jarvelin, Marjo-Ritta, Jonas, Jost B., Jukema, J. Wouter, Kaleebu, Pontiano, Kaplan, Robert, Kardia, Sharon L.R., Kato, Norihiro, Keinanen-Kiukaanniemi, Sirkka M., Kim, Bong-Jo, Kivimaki, Mika, Koistinen, Heikki A., Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kuh, Diana, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lakka, Timo A., Launer, Lenore J., Leander, Karin, Li, Huaixing, Lin, Xu, Lind, Lars, Lindgren, Cecilia, Liu, Simin, Loos, Ruth J.F., Magnusson, Patrik K.E., Mahajan, Anubha, Metspalu, Andres, Mook-Kanamori, Dennis O., Mori, Trevor A., Munroe, Patricia B., Njølstad, Inger, O'Connell, Jeffrey R., Oldehinkel, Albertine J., Ong, Ken K., Padmanabhan, Sandosh, Palmer, Colin N.A., Palmer, Nicholette D., Pedersen, Oluf, Pennell, Craig E., Porteous, David J., Pramstaller, Peter P., Province, Michael A., Psaty, Bruce M., Qi, Lu, Raffel, Leslie J., Rauramaa, Rainer, Redline, Susan, Ridker, Paul M., Rosendaal, Frits R., Saaristo, Timo E., Sandhu, Manjinder, Saramies, Jouko, Schneiderman, Neil, Schwarz, Peter, Scott, Laura J., Selvin, Elizabeth, Sever, Peter, Shu, Xiao-Ou, Slagboom, P. Eline, Small, Kerrin S., Smith, Blair H., Snieder, Harold, Sofer, Tamar, Sørensen, Thorkild I.A., Spector, Tim D., Stanton, Alice, Steves, Claire J., Stumvoll, Michael, Sun, Liang, Tabara, Yasuharu, Tai, E. Shyong, Timpson, Nicholas J., Tönjes, Anke, Tuomilehto, Jaakko, Tusie, Teresa, Uusitupa, Matti, van der Harst, Pim, van Duijn, Cornelia, Vitart, Veronique, Vollenweider, Peter, Vrijkotte, Tanja G.M., Wagenknecht, Lynne E., Walker, Mark, Wang, Ya X., Wareham, Nick J., Watanabe, Richard M., Watkins, Hugh, Wei, Wen B., Wickremasinghe, Ananda R., Willemsen, Gonneke, Wilson, James F., Wong, Tien-Yin, Wu, Jer-Yuarn, Xiang, Anny H., Yanek, Lisa R., Yengo, Loïc, Yokota, Mitsuhiro, Zeggini, Eleftheria, Zheng, Wei, Zonderman, Alan B., Rotter, Jerome I., Gloyn, Anna L., McCarthy, Mark I., Dupuis, Josée, Meigs, James B., Scott, Robert A., Prokopenko, Inga, Leong, Aaron, Liu, Ching-Ti, Parker, Stephen C.J., Mohlke, Karen L., Langenberg, Claudia, Wheeler, Eleanor, Morris, Andrew P., Barroso, Inês, Stefanucci, Luca, Moslemi, Camous, Tomé, Ana R., Virtue, Samuel, Bidault, Guillaume, Gleadall, Nicholas S., Watson, Laura P.E., Kwa, Jing E., Burden, Frances, Farrow, Samantha, Võsa, Urmo, Burling, Keith, Walker, Lindsay, Ord, John, Barker, Peter, Warner, James, Frary, Amy, Renhstrom, Karola, Ashford, Sofie E., Piper, Jo, Biggs, Gail, Erber, Wendy N., Hoffman, Gary J., Schoenmakers, Nadia, Rieneck, Klaus, Dziegiel, Morten H., Azzu, Vian, Vacca, Michele, Aparicio, Hugo Javier, Hui, Qin, Cho, Kelly, Sun, Yan V., Wilson, Peter W., Bayraktar, Omer A., Vidal-Puig, Antonio, Ostrowski, Sisse R., Astle, William J., Olsson, Martin L., Storry, Jill R., Pedersen, Ole B., Ouwehand, Willem H., Chatterjee, Krishna, Vuckovic, Dragana, and Frontini, Mattia
Published: 2024
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71. Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals

Author: Noordam, Raymond, Young, William J., Salman, Reem, Kanters, Jørgen K., van den Berg, Marten E., van Heemst, Diana, Lin, Henry J., Barreto, Sandhi Maria, Biggs, Mary L., Biino, Ginevra, Catamo, Eulalia, Concas, Maria Pina, Ding, Jun, Evans, Daniel S., Foco, Luisa, Grarup, Niels, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Mei, Hao, van der Most, Peter J., Müller-Nurasyid, Martina, Nelson, Christopher P., Qian, Yong, Repetto, Linda, Said, M. Abdullah, Shah, Nabi, Schramm, Katharina, Vidigal, Pedro G., Weiss, Stefan, Yao, Jie, Zilhao, Nuno R., Brody, Jennifer A., Braund, Peter S., Brumat, Marco, Campana, Eric, Christofidou, Paraskevi, Caulfield, Mark J., De Grandi, Alessandro, Dominiczak, Anna F., Doney, Alex S.F., Eiriksdottir, Gudny, Ellervik, Christina, Giatti, Luana, Gögele, Martin, Graff, Claus, Guo, Xiuqing, van der Harst, Pim, Joshi, Peter K., Kähönen, Mika, Kestenbaum, Bryan, Lima-Costa, Maria F., Linneberg, Allan, Maan, Arie C., Meitinger, Thomas, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Petersmann, Astrid, Sever, Peter, Sinner, Mortiz F., Shen, Xia, Stanton, Alice, Strauch, Konstantin, Soliman, Elsayed Z., Tarasov, Kirill V., Taylor, Kent D., Thio, Chris H.L., Uitterlinden, André G., Vaccargiu, Simona, Waldenberger, Melanie, Robino, Antonietta, Correa, Adolfo, Cucca, Francesco, Cummings, Steven R., Dörr, Marcus, Girotto, Giorgia, Gudnason, Vilmundur, Hansen, Torben, Heckbert, Susan R., Juhl, Christian R., Kääb, Stefan, Lehtimäki, Terho, Liu, Yongmei, Lotufo, Paulo A., Palmer, Colin N.A., Pirastu, Mario, Pramstaller, Peter P., Ribeiro, Antonio Luiz P., Rotter, Jerome I., Samani, Nilesh J., Snieder, Harold, Spector, Tim D., Stricker, Bruno H., Verweij, Niek, Wilson, James F., Wilson, James G., Jukema, J. Wouter, Tinker, Andrew, Newton-Cheh, Christopher H., Sotoodehnia, Nona, Mook-Kanamori, Dennis O., Munroe, Patricia B., and Warren, Helen R.
Published: 2019
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72. Associations between birth weight and glucose intolerance in adulthood among Greenlandic Inuit

Author: Rønn, Pernille Falberg, Jørgensen, Marit Eika, Smith, Lærke Steenberg, Bjerregaard, Peter, Dahl-Petersen, Inger Katrine, Larsen, Christina Viskum Lytken, Grarup, Niels, and Andersen, Gregers Stig
Published: 2019
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73. Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population

Author: Li, Shengting, Besenbacher, Soren, Li, Yingrui, Kristiansen, Karsten, Grarup, Niels, Albrechtsen, Anders, Sparsø, Thomas, Korneliussen, Thorfinn, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, Pedersen, Oluf, Bolund, Lars, and Schierup, Mikkel H
Subjects: Biological Sciences, Genetics, Human Genome, Diabetes, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Case-Control Studies, DNA, Mitochondrial, Denmark, Diabetes Mellitus, Exome, Gene Frequency, Genetic Association Studies, Genetic Variation, Genetics, Population, Genotype, Humans, Phylogeny, Polymorphism, Genetic, Quantitative Trait, Heritable, White People, diabetes, mtDNA, population history, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract: In this paper, we mine full mtDNA sequences from an exome capture data set of 2000 Danes, showing that it is possible to get high-quality full-genome sequences of the mitochondrion from this resource. The sample includes 1000 individuals with type 2 diabetes and 1000 controls. We characterise the variation found in the mtDNA sequence in Danes and relate the variation to diabetes risk as well as to several blood phenotypes of the controls but find no significant associations. We report 2025 polymorphisms, of which 393 have not been reported previously. These 393 mutations are both very rare and estimated to be caused by very recent mutations but individuals with type 2 diabetes do not possess more of these variants. Population genetics analysis using Bayesian skyline plot shows a recent history of rapid population growth in the Danish population in accordance with the fact that >40% of variable sites are observed as singletons.
Published: 2014

74. A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes

Author: Moltke, Ida, Grarup, Niels, Jørgensen, Marit E, Bjerregaard, Peter, Treebak, Jonas T, Fumagalli, Matteo, Korneliussen, Thorfinn S, Andersen, Marianne A, Nielsen, Thomas S, Krarup, Nikolaj T, Gjesing, Anette P, Zierath, Juleen R, Linneberg, Allan, Wu, Xueli, Sun, Guangqing, Jin, Xin, Al-Aama, Jumana, Wang, Jun, Borch-Johnsen, Knut, Pedersen, Oluf, Nielsen, Rasmus, Albrechtsen, Anders, and Hansen, Torben
Subjects: Biological Sciences, Genetics, Human Genome, Diabetes, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Blood Glucose, Codon, Nonsense, Diabetes Mellitus, Type 2, GTPase-Activating Proteins, Gene Frequency, Genetic Variation, Genome-Wide Association Study, Genotype, Greenland, Humans, Insulin, Insulin Resistance, Middle Aged, Muscle, Skeletal, General Science & Technology
Abstract: The Greenlandic population, a small and historically isolated founder population comprising about 57,000 inhabitants, has experienced a dramatic increase in type 2 diabetes (T2D) prevalence during the past 25 years. Motivated by this, we performed association mapping of T2D-related quantitative traits in up to 2,575 Greenlandic individuals without known diabetes. Using array-based genotyping and exome sequencing, we discovered a nonsense p.Arg684Ter variant (in which arginine is replaced by a termination codon) in the gene TBC1D4 with an allele frequency of 17%. Here we show that homozygous carriers of this variant have markedly higher concentrations of plasma glucose (β = 3.8 mmol l(-1), P = 2.5 × 10(-35)) and serum insulin (β = 165 pmol l(-1), P = 1.5 × 10(-20)) 2 hours after an oral glucose load compared with individuals with other genotypes (both non-carriers and heterozygous carriers). Furthermore, homozygous carriers have marginally lower concentrations of fasting plasma glucose (β = -0.18 mmol l(-1), P = 1.1 × 10(-6)) and fasting serum insulin (β = -8.3 pmol l(-1), P = 0.0014), and their T2D risk is markedly increased (odds ratio (OR) = 10.3, P = 1.6 × 10(-24)). Heterozygous carriers have a moderately higher plasma glucose concentration 2 hours after an oral glucose load than non-carriers (β = 0.43 mmol l(-1), P = 5.3 × 10(-5)). Analyses of skeletal muscle biopsies showed lower messenger RNA and protein levels of the long isoform of TBC1D4, and lower muscle protein levels of the glucose transporter GLUT4, with increasing number of p.Arg684Ter alleles. These findings are concomitant with a severely decreased insulin-stimulated glucose uptake in muscle, leading to postprandial hyperglycaemia, impaired glucose tolerance and T2D. The observed effect sizes are several times larger than any previous findings in large-scale genome-wide association studies of these traits and constitute further proof of the value of conducting genetic association studies outside the traditional setting of large homogeneous populations.
Published: 2014

75. Impact of Type 2 Diabetes Susceptibility Variants on Quantitative Glycemic Traits Reveals Mechanistic Heterogeneity

Author: Dimas, Antigone S, Lagou, Vasiliki, Barker, Adam, Knowles, Joshua W, Mägi, Reedik, Hivert, Marie-France, Benazzo, Andrea, Rybin, Denis, Jackson, Anne U, Stringham, Heather M, Song, Ci, Fischer-Rosinsky, Antje, Boesgaard, Trine Welløv, Grarup, Niels, Abbasi, Fahim A, Assimes, Themistocles L, Hao, Ke, Yang, Xia, Lecoeur, Cécile, Barroso, Inês, Bonnycastle, Lori L, Böttcher, Yvonne, Bumpstead, Suzannah, Chines, Peter S, Erdos, Michael R, Graessler, Jurgen, Kovacs, Peter, Morken, Mario A, Narisu, Narisu, Payne, Felicity, Stancakova, Alena, Swift, Amy J, Tönjes, Anke, Bornstein, Stefan R, Cauchi, Stéphane, Froguel, Philippe, Meyre, David, Schwarz, Peter EH, Häring, Hans-Ulrich, Smith, Ulf, Boehnke, Michael, Bergman, Richard N, Collins, Francis S, Mohlke, Karen L, Tuomilehto, Jaakko, Quertemous, Thomas, Lind, Lars, Hansen, Torben, Pedersen, Oluf, Walker, Mark, Pfeiffer, Andreas FH, Spranger, Joachim, Stumvoll, Michael, Meigs, James B, Wareham, Nicholas J, Kuusisto, Johanna, Laakso, Markku, Langenberg, Claudia, Dupuis, Josée, Watanabe, Richard M, Florez, Jose C, Ingelsson, Erik, McCarthy, Mark I, Prokopenko, Inga, and Investigators, on behalf of the MAGIC
Subjects: Biomedical and Clinical Sciences, Genetics, Diabetes, Autoimmune Disease, Clinical Research, Prevention, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Alleles, Cluster Analysis, Diabetes Mellitus, Type 2, Female, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Insulin, Insulin Resistance, Insulin Secretion, Insulin-Secreting Cells, Male, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Transcription Factors, MAGIC Investigators, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract: Patients with established type 2 diabetes display both β-cell dysfunction and insulin resistance. To define fundamental processes leading to the diabetic state, we examined the relationship between type 2 diabetes risk variants at 37 established susceptibility loci, and indices of proinsulin processing, insulin secretion, and insulin sensitivity. We included data from up to 58,614 nondiabetic subjects with basal measures and 17,327 with dynamic measures. We used additive genetic models with adjustment for sex, age, and BMI, followed by fixed-effects, inverse-variance meta-analyses. Cluster analyses grouped risk loci into five major categories based on their relationship to these continuous glycemic phenotypes. The first cluster (PPARG, KLF14, IRS1, GCKR) was characterized by primary effects on insulin sensitivity. The second cluster (MTNR1B, GCK) featured risk alleles associated with reduced insulin secretion and fasting hyperglycemia. ARAP1 constituted a third cluster characterized by defects in insulin processing. A fourth cluster (TCF7L2, SLC30A8, HHEX/IDE, CDKAL1, CDKN2A/2B) was defined by loci influencing insulin processing and secretion without a detectable change in fasting glucose levels. The final group contained 20 risk loci with no clear-cut associations to continuous glycemic traits. By assembling extensive data on continuous glycemic traits, we have exposed the diverse mechanisms whereby type 2 diabetes risk variants impact disease predisposition.
Published: 2014

76. Whole-Exome Sequencing of 2,000 Danish Individuals and the Role of Rare Coding Variants in Type 2 Diabetes

Author: Lohmueller, Kirk E, Sparsø, Thomas, Li, Qibin, Andersson, Ehm, Korneliussen, Thorfinn, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Kilpeläinen, Tuomas O, Krarup, Nikolaj T, Pers, Tune H, Sanchez, Gaston, Hu, Youna, DeGiorgio, Michael, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Brunak, Søren, Kristiansen, Karsten, Li, Yingrui, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, and Pedersen, Oluf
Subjects: Biological Sciences, Genetics, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Published: 2014

77. Interaction of genetic risk and lifestyle on the incidence of atrial fibrillation

Author: Frederiksen, Tanja Charlotte, primary, Christiansen, Morten Krogh, additional, Benjamin, Emelia J, additional, Overvad, Kim, additional, Olsen, Anja, additional, Andersen, Mette K, additional, Hansen, Torben, additional, Grarup, Niels, additional, Jensen, Henrik Kjaerulf, additional, and Dahm, Christina C, additional
Published: 2023
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78. GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9 association signal

Author: Senftleber, Ninna Karsbæk, primary, Andersen, Mette K., additional, Jørsboe, Emil, additional, Stæger, Frederik Filip, additional, Nøhr, Anne Krogh, additional, Garcia-Erill, Genis, additional, Meisner, Jonas, additional, Santander, Cindy G., additional, Balboa, Renzo F., additional, Gilly, Arthur, additional, Bjerregaard, Peter, additional, Larsen, Christina Viskum Lytken, additional, Grarup, Niels, additional, Jørgensen, Marit Eika, additional, Zeggini, Eleftheria, additional, Moltke, Ida, additional, Hansen, Torben, additional, and Albrechtsen, Anders, additional
Published: 2023
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79. Meal sugar-protein balance determines postprandial FGF21 response in humans

Author: Ramne, Stina, primary, Duizer, Lisanne, additional, Nielsen, Mette S, additional, Jørgensen, Niklas Rye, additional, Svenningsen, Jens S, additional, Grarup, Niels, additional, Sjödin, Anders, additional, Raben, Anne, additional, and Gillum, Matthew P, additional
Published: 2023
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80. Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.

Author: Lohmueller, Kirk, Sparsø, Thomas, Li, Qibin, Andersson, Ehm, Korneliussen, Thorfinn, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Kilpeläinen, Tuomas, Krarup, Nikolaj, Pers, Tune, Sanchez, Gaston, Hu, Youna, Degiorgio, Michael, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Brunak, Søren, Kristiansen, Karsten, Li, Yingrui, Hansen, Torben, Wang, Jun, Pedersen, Oluf, and Nielsen, Rasmus
Subjects: Computational Biology, Denmark, Diabetes Mellitus, Type 2, Exome, Genetic Association Studies, Genetic Variation, Genotype, High-Throughput Nucleotide Sequencing, Humans, Models, Statistical, Open Reading Frames, Polymorphism, Single Nucleotide, White People
Abstract: It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We sequenced the exomes of 1,000 Danish cases with common forms of type 2 diabetes (including body mass index > 27.5 kg/m(2) and hypertension) and 1,000 healthy controls to an average depth of 56×. Our simulations suggest that our study had the statistical power to detect at least one causal gene (a gene containing causal mutations) if the heritability of these common diseases was explained by rare variants in the coding regions of a limited number of genes. We applied a series of gene-based tests to detect such susceptibility genes. However, no gene showed a significant association with disease risk after we corrected for the number of genes analyzed. Thus, we could reject a model for the genetic architecture of type 2 diabetes where rare nonsynonymous variants clustered in a modest number of genes (fewer than 20) are responsible for the majority of disease risk.
Published: 2013

81. Cardiolipin Synthesis in Brown and Beige Fat Mitochondria Is Essential for Systemic Energy Homeostasis

Author: Sustarsic, Elahu G., Ma, Tao, Lynes, Matthew D., Larsen, Michael, Karavaeva, Iuliia, Havelund, Jesper F., Nielsen, Carsten H., Jedrychowski, Mark P., Moreno-Torres, Marta, Lundh, Morten, Plucinska, Kaja, Jespersen, Naja Z., Grevengoed, Trisha J., Kramar, Barbara, Peics, Julia, Hansen, Jakob B., Shamsi, Farnaz, Forss, Isabel, Neess, Ditte, Keipert, Susanne, Wang, Jianing, Stohlmann, Katharina, Brandslund, Ivan, Christensen, Cramer, Jørgensen, Marit E., Linneberg, Allan, Pedersen, Oluf, Kiebish, Michael A., Qvortrup, Klaus, Han, Xianlin, Pedersen, Bente Klarlund, Jastroch, Martin, Mandrup, Susanne, Kjær, Andreas, Gygi, Steven P., Hansen, Torben, Gillum, Matthew P., Grarup, Niels, Emanuelli, Brice, Nielsen, Søren, Scheele, Camilla, Tseng, Yu-Hua, Færgeman, Nils J., and Gerhart-Hines, Zachary
Published: 2018
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82. Genetic architecture of vitamin B12 and folate levels uncovered applying deeply sequenced large datasets.

Author: Grarup, Niels, Sulem, Patrick, Sandholt, Camilla, Thorleifsson, Gudmar, Ahluwalia, Tarunveer, Steinthorsdottir, Valgerdur, Bjarnason, Helgi, Gudbjartsson, Daniel, Magnusson, Olafur, Sparsø, Thomas, Albrechtsen, Anders, Kong, Augustine, Masson, Gisli, Tian, Geng, Cao, Hongzhi, Nie, Chao, Kristiansen, Karsten, Husemoen, Lise, Thuesen, Betina, Li, Yingrui, Nielsen, Rasmus, Linneberg, Allan, Olafsson, Isleifur, Eyjolfsson, Gudmundur, Jørgensen, Torben, Wang, Jun, Hansen, Torben, Thorsteinsdottir, Unnur, Stefánsson, Kari, and Pedersen, Oluf
Subjects: Alzheimer Disease, Denmark, Exome, Folic Acid, Folic Acid Deficiency, Genome, Human, Genome-Wide Association Study, Humans, Iceland, Methylenetetrahydrofolate Reductase (NADPH2), Quantitative Trait Loci, Vitamin B 12
Abstract: Genome-wide association studies have mainly relied on common HapMap sequence variations. Recently, sequencing approaches have allowed analysis of low frequency and rare variants in conjunction with common variants, thereby improving the search for functional variants and thus the understanding of the underlying biology of human traits and diseases. Here, we used a large Icelandic whole genome sequence dataset combined with Danish exome sequence data to gain insight into the genetic architecture of serum levels of vitamin B(12) (B12) and folate. Up to 22.9 million sequence variants were analyzed in combined samples of 45,576 and 37,341 individuals with serum B(12) and folate measurements, respectively. We found six novel loci associating with serum B(12) (CD320, TCN2, ABCD4, MMAA, MMACHC) or folate levels (FOLR3) and confirmed seven loci for these traits (TCN1, FUT6, FUT2, CUBN, CLYBL, MUT, MTHFR). Conditional analyses established that four loci contain additional independent signals. Interestingly, 13 of the 18 identified variants were coding and 11 of the 13 target genes have known functions related to B(12) and folate pathways. Contrary to epidemiological studies we did not find consistent association of the variants with cardiovascular diseases, cancers or Alzheimers disease although some variants demonstrated pleiotropic effects. Although to some degree impeded by low statistical power for some of these conditions, these data suggest that sequence variants that contribute to the population diversity in serum B(12) or folate levels do not modify the risk of developing these conditions. Yet, the study demonstrates the value of combining whole genome and exome sequencing approaches to ascertain the genetic and molecular architectures underlying quantitative trait associations.
Published: 2013

83. Genetic predisposition to higher body fat yet lower cardiometabolic risk in children and adolescents

Author: Viitasalo, Anna, Schnurr, Theresia M., Pitkänen, Niina, Hollensted, Mette, Nielsen, Tenna R. H., Pahkala, Katja, Lintu, Niina, Lind, Mads V., Atalay, Mustafa, Frithioff-Bøjsøe, Christine, Fonvig, Cilius E., Grarup, Niels, Kähönen, Mika, Larnkjaer, Anni, Pedersen, Oluf, Holm, Jens-Christian, Michaelsen, Kim F., Lakka, Timo A., Lehtimäki, Terho, Raitakari, Olli, Hansen, Torben, and Kilpeläinen, Tuomas O.
Published: 2019
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84. Haploinsufficiency of ARHGAP42 is associated with hypertension

Author: Fjorder, Amanda S., Rasmussen, Malene B., Mehrjouy, Mana M., Nazaryan-Petersen, Lusine, Hansen, Claus, Bak, Mads, Grarup, Niels, Nørremølle, Anne, Larsen, Lars A., Vestergaard, Henrik, Hansen, Torben, Tommerup, Niels, and Bache, Iben
Published: 2019
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85. Genetic Determinants of Weight Loss After Bariatric Surgery

Author: Aasbrenn, Martin, Schnurr, Theresia Maria, Have, Christian Theil, Svendstrup, Mathilde, Hansen, Dorte Lindqvist, Worm, Dorte, Balslev-Harder, Marie, Hollensted, Mette, Grarup, Niels, Burgdorf, Kristoffer Sølvsten, Vestergaard, Henrik, Pedersen, Oluf, Sørensen, Thorkild I. A., Fenger, Mogens, Madsbad, Sten, and Hansen, Torben
Published: 2019
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86. Human pancreatic islet three-dimensional chromatin architecture provides insights into the genetics of type 2 diabetes

Author: Miguel-Escalada, Irene, Bonàs-Guarch, Silvia, Cebola, Inês, Ponsa-Cobas, Joan, Mendieta-Esteban, Julen, Atla, Goutham, Javierre, Biola M., Rolando, Delphine M. Y., Farabella, Irene, Morgan, Claire C., García-Hurtado, Javier, Beucher, Anthony, Morán, Ignasi, Pasquali, Lorenzo, Ramos-Rodríguez, Mireia, Appel, Emil V. R., Linneberg, Allan, Gjesing, Anette P., Witte, Daniel R., Pedersen, Oluf, Grarup, Niels, Ravassard, Philippe, Torrents, David, Mercader, Josep M., Piemonti, Lorenzo, Berney, Thierry, de Koning, Eelco J. P., Kerr-Conte, Julie, Pattou, François, Fedko, Iryna O., Groop, Leif, Prokopenko, Inga, Hansen, Torben, Marti-Renom, Marc A., Fraser, Peter, and Ferrer, Jorge
Published: 2019
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87. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Author: van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niels, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Annamaria, Kors, Jan A., Linneberg, Allan, MacFarlane, Peter W., Meitinger, Thomas, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., and Isaacs, Aaron
Published: 2019
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88. A novel rare CUBN variant and three additional genes identified in Europeans with and without diabetes: results from an exome-wide association study of albuminuria

Author: Ahluwalia, Tarunveer S., Schulz, Christina-Alexandra, Waage, Johannes, Skaaby, Tea, Sandholm, Niina, van Zuydam, Natalie, Charmet, Romain, Bork-Jensen, Jette, Almgren, Peter, Thuesen, Betina H., Bedin, Mathilda, Brandslund, Ivan, Christensen, Cramer K., Linneberg, Allan, Ahlqvist, Emma, Groop, Per-Henrik, Hadjadj, Samy, Tregouet, David-Alexandre, Jørgensen, Marit E., Grarup, Niels, Pedersen, Oluf, Simons, Matias, Groop, Leif, Orho-Melander, Marju, McCarthy, Mark I., Melander, Olle, Rossing, Peter, Kilpeläinen, Tuomas O., and Hansen, Torben
Published: 2019
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89. No Interactions Between Previously Associated 2-Hour Glucose Gene Variants and Physical Activity or BMI on 2-Hour Glucose Levels

Author: Scott, Robert A, Chu, Audrey Y, Grarup, Niels, Manning, Alisa K, Hivert, Marie-France, Shungin, Dmitry, Tönjes, Anke, Yesupriya, Ajay, Barnes, Daniel, Bouatia-Naji, Nabila, Glazer, Nicole L, Jackson, Anne U, Kutalik, Zoltán, Lagou, Vasiliki, Marek, Diana, Rasmussen-Torvik, Laura J, Stringham, Heather M, Tanaka, Toshiko, Aadahl, Mette, Arking, Dan E, Bergmann, Sven, Boerwinkle, Eric, Bonnycastle, Lori L, Bornstein, Stefan R, Brunner, Eric, Bumpstead, Suzannah J, Brage, Soren, Carlson, Olga D, Chen, Han, Chen, Yii-Der Ida, Chines, Peter S, Collins, Francis S, Couper, David J, Dennison, Elaine M, Dowling, Nicole F, Egan, Josephine S, Ekelund, Ulf, Erdos, Michael R, Forouhi, Nita G, Fox, Caroline S, Goodarzi, Mark O, Grässler, Jürgen, Gustafsson, Stefan, Hallmans, Göran, Hansen, Torben, Hingorani, Aroon, Holloway, John W, Hu, Frank B, Isomaa, Bo, Jameson, Karen A, Johansson, Ingegerd, Jonsson, Anna, Jørgensen, Torben, Kivimaki, Mika, Kovacs, Peter, Kumari, Meena, Kuusisto, Johanna, Laakso, Markku, Lecoeur, Cécile, Lévy-Marchal, Claire, Li, Guo, Loos, Ruth JF, Lyssenko, Valeri, Marmot, Michael, Marques-Vidal, Pedro, Morken, Mario A, Müller, Gabriele, North, Kari E, Pankow, James S, Payne, Felicity, Prokopenko, Inga, Psaty, Bruce M, Renström, Frida, Rice, Ken, Rotter, Jerome I, Rybin, Denis, Sandholt, Camilla H, Sayer, Avan A, Shrader, Peter, Schwarz, Peter EH, Siscovick, David S, Stančáková, Alena, Stumvoll, Michael, Teslovich, Tanya M, Waeber, Gérard, Williams, Gordon H, Witte, Daniel R, Wood, Andrew R, Xie, Weijia, Boehnke, Michael, Cooper, Cyrus, Ferrucci, Luigi, Froguel, Philippe, Groop, Leif, Kao, WH Linda, Vollenweider, Peter, Walker, Mark, Watanabe, Richard M, Pedersen, Oluf, and Meigs, James B
Subjects: Biomedical and Clinical Sciences, Clinical Research, Genetics, Diabetes, Prevention, Obesity, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 2.3 Psychological, social and economic factors, Metabolic and endocrine, Blood Glucose, Body Mass Index, Epigenesis, Genetic, Gene Expression Regulation, Genotype, Humans, Life Style, Motor Activity, Polymorphism, Single Nucleotide, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract: Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glucose levels than active individuals (β = 0.22 mmol/L [95% CI 0.13-0.31], P = 1.63 × 10(-6)). All SNPs were associated with 2-h glucose (β = 0.06-0.12 mmol/allele, P ≤ 1.53 × 10(-7)), but no significant interactions were found with PA (P > 0.18) or BMI (P ≥ 0.04). In this large study of gene-lifestyle interaction, we observed no interactions between genetic and lifestyle factors, both of which were associated with 2-h glucose. It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions.
Published: 2012

90. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Palmer, Nicholette D, McDonough, Caitrin W, Hicks, Pamela J, Roh, Bong H, Wing, Maria R, An, S Sandy, Hester, Jessica M, Cooke, Jessica N, Bostrom, Meredith A, Rudock, Megan E, Talbert, Matthew E, Lewis, Joshua P, DIAGRAM Consortium, MAGIC Investigators, Ferrara, Assiamira, Lu, Lingyi, Ziegler, Julie T, Sale, Michele M, Divers, Jasmin, Shriner, Daniel, Adeyemo, Adebowale, Rotimi, Charles N, Ng, Maggie CY, Langefeld, Carl D, Freedman, Barry I, Bowden, Donald W, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Morris, Andrew P, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Langenberg, Claudia, Hofmann, Oliver M, Dupuis, Josée, Qi, Lu, Segrè, Ayellet V, van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Couper, David J, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Klopp, Norman, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, and Midthjell, Kristian
Subjects: DIAGRAM Consortium, MAGIC Investigators, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Meta-Analysis as Topic, Validation Studies as Topic, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, General Science & Technology
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
Published: 2012

91. FUT2–ABO epistasis increases the risk of early childhood asthma and Streptococcus pneumoniae respiratory illnesses

Author: Ahluwalia, Tarunveer S., Eliasen, Anders U., Sevelsted, Astrid, Pedersen, Casper-Emil T., Stokholm, Jakob, Chawes, Bo, Bork-Jensen, Jette, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Sharma, Amitabh, Weiss, Scott T., Evans, Michael D., Jackson, Daniel J., Morin, Andreanne, Krogfelt, Karen A., Schjørring, Susanne, Mortensen, Preben B., Hougaard, David M., Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Mors, Ole, Nordentoft, Merete, Børglum, Anders D., Werge, Thomas, Agerbo, Esben, Gern, James E., Lemanske, Jr., Robert F., Ober, Carole, Pedersen, Anders G., Bisgaard, Hans, and Bønnelykke, Klaus
Published: 2020
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92. The effect of diabetes and the common diabetogenic TBC1D4 p.Arg684Ter variant on cardiovascular risk in Inuit in Greenland

Author: Overvad, Maria, Diaz, Lars Jorge, Bjerregaard, Peter, Pedersen, Michael Lynge, Larsen, Christina Viskum Lytken, Senftleber, Ninna, Grarup, Niels, Hansen, Torben, and Jørgensen, Marit Eika
Published: 2020
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93. Natural selection affects multiple aspects of genetic variation at putatively neutral sites across the human genome.

Author: Lohmueller, Kirk E, Albrechtsen, Anders, Li, Yingrui, Kim, Su Yeon, Korneliussen, Thorfinn, Vinckenbosch, Nicolas, Tian, Geng, Huerta-Sanchez, Emilia, Feder, Alison F, Grarup, Niels, Jørgensen, Torben, Jiang, Tao, Witte, Daniel R, Sandbæk, Annelli, Hellmann, Ines, Lauritzen, Torsten, Hansen, Torben, Pedersen, Oluf, Wang, Jun, and Nielsen, Rasmus
Subjects: Animals, Humans, Pan troglodytes, Evolution, Molecular, Recombination, Genetic, Gene Frequency, Genetic Drift, Mutation, Genome, Human, Models, Genetic, Population, Genetic Variation, Selection, Genetic, Human Genome, Biotechnology, Genetics, Generic health relevance, Developmental Biology
Abstract: A major question in evolutionary biology is how natural selection has shaped patterns of genetic variation across the human genome. Previous work has documented a reduction in genetic diversity in regions of the genome with low recombination rates. However, it is unclear whether other summaries of genetic variation, like allele frequencies, are also correlated with recombination rate and whether these correlations can be explained solely by negative selection against deleterious mutations or whether positive selection acting on favorable alleles is also required. Here we attempt to address these questions by analyzing three different genome-wide resequencing datasets from European individuals. We document several significant correlations between different genomic features. In particular, we find that average minor allele frequency and diversity are reduced in regions of low recombination and that human diversity, human-chimp divergence, and average minor allele frequency are reduced near genes. Population genetic simulations show that either positive natural selection acting on favorable mutations or negative natural selection acting against deleterious mutations can explain these correlations. However, models with strong positive selection on nonsynonymous mutations and little negative selection predict a stronger negative correlation between neutral diversity and nonsynonymous divergence than observed in the actual data, supporting the importance of negative, rather than positive, selection throughout the genome. Further, we show that the widespread presence of weakly deleterious alleles, rather than a small number of strongly positively selected mutations, is responsible for the correlation between neutral genetic diversity and recombination rate. This work suggests that natural selection has affected multiple aspects of linked neutral variation throughout the human genome and that positive selection is not required to explain these observations.
Published: 2011

94. Estimation of allele frequency and association mapping using next-generation sequencing data

Author: Kim, Su, Lohmueller, Kirk E, Albrechtsen, Anders, Li, Yingrui, Korneliussen, Thorfinn, Tian, Geng, Grarup, Niels, Jiang, Tao, Andersen, Gitte, Witte, Daniel, Jorgensen, Torben, Hansen, Torben, Pedersen, Oluf, Wang, Jun, and Nielsen, Rasmus
Abstract: Abstract Background Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing, a cost effective approach is to use medium or low-coverage data (e.g., < 15X). However, SNP calling and allele frequency estimation in such studies is associated with substantial statistical uncertainty because of varying coverage and high error rates. Results We evaluate a new maximum likelihood method for estimating allele frequencies in low and medium coverage next-generation sequencing data. The method is based on integrating over uncertainty in the data for each individual rather than first calling genotypes. This method can be applied to directly test for associations in case/control studies. We use simulations to compare the likelihood method to methods based on genotype calling, and show that the likelihood method outperforms the genotype calling methods in terms of: (1) accuracy of allele frequency estimation, (2) accuracy of the estimation of the distribution of allele frequencies across neutrally evolving sites, and (3) statistical power in association mapping studies. Using real re-sequencing data from 200 individuals obtained from an exon-capture experiment, we show that the patterns observed in the simulations are also found in real data. Conclusions Overall, our results suggest that association mapping and estimation of allele frequencies should not be based on genotype calling in low to medium coverage data. Furthermore, if genotype calling methods are used, it is usually better not to filter genotypes based on the call confidence score.
Published: 2011

95. Genetic determinants of serum vitamin B12 and their relation to body mass index

Author: Allin, Kristine H., Friedrich, Nele, Pietzner, Maik, Grarup, Niels, Thuesen, Betina H., Linneberg, Allan, Pisinger, Charlotta, Hansen, Torben, Pedersen, Oluf, and Sandholt, Camilla H.
Published: 2017

96. Genetics of Plasma Bilirubin and Associations between Bilirubin and Cardiometabolic Risk Profiles in Danish Children and Adolescents

Author: Ullah, Asmat, primary, Stankevic, Evelina, additional, Holm, Louise Aas, additional, Stinson, Sara E., additional, Juel, Helene Bæk, additional, Fonvig, Cilius E., additional, Lund, Morten A. V., additional, Trier, Cæcilie, additional, Engelbrechtsen, Line, additional, Ängquist, Lars, additional, Jonsson, Anna E., additional, Pedersen, Oluf, additional, Grarup, Niels, additional, Holm, Jens-Christian, additional, and Hansen, Torben, additional
Published: 2023
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97. PTFS03-03-23 Ultra-Processed Foods Consumption: Role of Genes Involved in Brain Reward/Addiction System and Association With Insulin Resistance

Author: Haydar, Sara, primary, Ramne, Stina, additional, Madsen, Anja Lykke, additional, Kårhus, Line Lund, additional, Linneberg, Allan, additional, and Grarup, Niels, additional
Published: 2023
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98. Identification of pathogenic GCK variants in patients with common type 2 diabetes can lead to discontinuation of pharmacological treatment

Author: Thuesen, Anne Cathrine Baun, primary, Jensen, Rasmus Tanderup, additional, Maagensen, Henrik, additional, Kristiansen, Maja Refshauge, additional, Sørensen, Henrik Toft, additional, Vaag, Allan, additional, Beck-Nielsen, Henning, additional, Pedersen, Oluf B., additional, Grarup, Niels, additional, Nielsen, Jens Steen, additional, Rungby, Jørgen, additional, Gjesing, Anette Prior, additional, Storgaard, Heidi, additional, Vilsbøll, Tina, additional, and Hansen, Torben, additional
Published: 2023
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99. FGF21 Is a Sugar-Induced Hormone Associated with Sweet Intake and Preference in Humans

Author: Søberg, Susanna, Sandholt, Camilla H., Jespersen, Naja Z., Toft, Ulla, Madsen, Anja L., von Holstein-Rathlou, Stephanie, Grevengoed, Trisha J., Christensen, Karl B., Bredie, Wender L.P., Potthoff, Matthew J., Solomon, Thomas P.J., Scheele, Camilla, Linneberg, Allan, Jørgensen, Torben, Pedersen, Oluf, Hansen, Torben, Gillum, Matthew P., and Grarup, Niels
Published: 2017
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100. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Author: Schmidt, Amand F, Swerdlow, Daniel I, Holmes, Michael V, Patel, Riyaz S, Fairhurst-Hunter, Zammy, Lyall, Donald M, Hartwig, Fernando Pires, Horta, Bernardo Lessa, Hyppönen, Elina, Power, Christine, Moldovan, Max, van Iperen, Erik, Hovingh, G Kees, Demuth, Ilja, Norman, Kristina, Steinhagen-Thiessen, Elisabeth, Demuth, Juri, Bertram, Lars, Liu, Tian, Coassin, Stefan, Willeit, Johann, Kiechl, Stefan, Willeit, Karin, Mason, Dan, Wright, John, Morris, Richard, Wanamethee, Goya, Whincup, Peter, Ben-Shlomo, Yoav, McLachlan, Stela, Price, Jackie F, Kivimaki, Mika, Welch, Catherine, Sanchez-Galvez, Adelaida, Marques-Vidal, Pedro, Nicolaides, Andrew, Panayiotou, Andrie G, Onland-Moret, N Charlotte, van der Schouw, Yvonne T, Matullo, Giuseppe, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Wareham, Nicholas J, Langenberg, Claudia, Scott, Robert, Luan, Jian'an, Bobak, Martin, Malyutina, Sofia, Pająk, Andrzej, Kubinova, Ruzena, Tamosiunas, Abdonas, Pikhart, Hynek, Husemoen, Lise Lotte Nystrup, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Simonsen, Kenneth Starup, Cooper, Jackie, Humphries, Steve E, Brilliant, Murray, Kitchner, Terrie, Hakonarson, Hakon, Carrell, David S, McCarty, Catherine A, Kirchner, H Lester, Larson, Eric B, Crosslin, David R, de Andrade, Mariza, Roden, Dan M, Denny, Joshua C, Carty, Cara, Hancock, Stephen, Attia, John, Holliday, Elizabeth, O'Donnell, Martin, Yusuf, Salim, Chong, Michael, Pare, Guillaume, van der Harst, Pim, Said, M Abdullah, Eppinga, Ruben N, Verweij, Niek, Snieder, Harold, Christen, Tim, Mook-Kanamori, Dennis O, Gustafsson, Stefan, Lind, Lars, Ingelsson, Erik, Pazoki, Raha, Franco, Oscar, Hofman, Albert, Uitterlinden, Andre, Dehghan, Abbas, Teumer, Alexander, Baumeister, Sebastian, Dörr, Marcus, Lerch, Markus M, Völker, Uwe, Völzke, Henry, Ward, Joey, Pell, Jill P, Smith, Daniel J, Meade, Tom, Maitland-van der Zee, Anke H, Baranova, Ekaterina V, Young, Robin, Ford, Ian, Campbell, Archie, Padmanabhan, Sandosh, Bots, Michiel L, Grobbee, Diederick E, Froguel, Philippe, Thuillier, Dorothée, Balkau, Beverley, Bonnefond, Amélie, Cariou, Bertrand, Smart, Melissa, Bao, Yanchun, Kumari, Meena, Mahajan, Anubha, Ridker, Paul M, Chasman, Daniel I, Reiner, Alex P, Lange, Leslie A, Ritchie, Marylyn D, Asselbergs, Folkert W, Casas, Juan-Pablo, Keating, Brendan J, Preiss, David, Hingorani, Aroon D, and Sattar, Naveed
Published: 2017
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