665 results on '"Banasik, Karina"'
Search Results
152. Genome-wide association study of febrile seizures identifies seven new loci implicating fever response and neuronal excitability genes
- Author
-
Skotte, Line, primary, Fadista, João, additional, Bybjerg-Grauholm, Jonas, additional, Appadurai, Vivek, additional, Hildebrand, Michael S, additional, Hansen, Thomas F, additional, Banasik, Karina, additional, Grove, Jakob, additional, Climent, Clara A, additional, Geller, Frank, additional, Bjurström, Carmen F, additional, Vilhjálmsson, Bjarni J, additional, Coleman, Matthew, additional, Damiano, John A, additional, Burgess, Rosemary, additional, Scheffer, Ingrid E, additional, Vesterager Pedersen, Ole Birger, additional, Erikstrup, Christian, additional, Westergaard, David, additional, René Nielsen, Kaspar, additional, Sørensen, Erik, additional, Bruun, Mie Topholm, additional, Liu, Xueping, additional, Hjalgrim, Henrik, additional, Pers, Tune H, additional, Mortensen, Preben Bo, additional, Mors, Ole, additional, Nordentoft, Merete, additional, Dreier, Julie W, additional, Børglum, Anders, additional, Christensen, Jakob, additional, Hougaard, David M, additional, Buil, Alfonso, additional, Hviid, Anders, additional, Melbye, Mads, additional, Ullum, Henrik, additional, Berkovic, Samuel F, additional, Werge, Thomas, additional, and Feenstra, Bjarke, additional
- Published
- 2020
- Full Text
- View/download PDF
153. Data Resource Profile: The Copenhagen Hospital Biobank (CHB)
- Author
-
Sørensen, Erik, primary, Christiansen, Lene, additional, Wilkowski, Bartlomiej, additional, Larsen, Margit H, additional, Burgdorf, Kristoffer S, additional, Thørner, Lise W, additional, Nissen, Janna, additional, Pedersen, Ole B, additional, Banasik, Karina, additional, Brunak, Søren, additional, Bundgaard, Henning, additional, Stefánsson, Hreinn, additional, Stefánsson, Kari, additional, Melbye, Mads, additional, and Ullum, Henrik, additional
- Published
- 2020
- Full Text
- View/download PDF
154. Genetic variability in the absorption of dietary sterols affects the risk of coronary artery disease
- Author
-
Helgadottir, Anna, primary, Thorleifsson, Gudmar, additional, Alexandersson, Kristjan F, additional, Tragante, Vinicius, additional, Thorsteinsdottir, Margret, additional, Eiriksson, Finnur F, additional, Gretarsdottir, Solveig, additional, Björnsson, Eythór, additional, Magnusson, Olafur, additional, Sveinbjornsson, Gardar, additional, Jonsdottir, Ingileif, additional, Steinthorsdottir, Valgerdur, additional, Ferkingstad, Egil, additional, Jensson, Brynjar Ö, additional, Stefansson, Hreinn, additional, Olafsson, Isleifur, additional, Christensen, Alex H, additional, Torp-Pedersen, Christian, additional, Køber, Lars, additional, Pedersen, Ole B, additional, Erikstrup, Christian, additional, Sørensen, Erik, additional, Brunak, Søren, additional, Banasik, Karina, additional, Hansen, Thomas F, additional, Nyegaard, Mette, additional, Eyjolfssson, Gudmundur I, additional, Sigurdardottir, Olof, additional, Thorarinsson, Bjorn L, additional, Matthiasson, Stefan E, additional, Steingrimsdottir, Thora, additional, Bjornsson, Einar S, additional, Danielsen, Ragnar, additional, Asselbergs, Folkert W, additional, Arnar, David O, additional, Ullum, Henrik, additional, Bundgaard, Henning, additional, Sulem, Patrick, additional, Thorsteinsdottir, Unnur, additional, Thorgeirsson, Gudmundur, additional, Holm, Hilma, additional, Gudbjartsson, Daniel F, additional, and Stefansson, Kari, additional
- Published
- 2020
- Full Text
- View/download PDF
155. Prevalence and socio-demographic characteristics of persons who have never had a headache among healthy voluntary blood donors – a population-based study
- Author
-
Olofsson, Isa Amalie, primary, Kogelman, Lisette, additional, Rasmussen, Andreas, additional, Erikstrup, Christian, additional, Sørensen, Erik, additional, Paarup, Helene M, additional, Hjalmgrim, Henrik, additional, Banasik, Karina, additional, Nielsen, Kaspar René, additional, Burgdorf, Kristoffer Soelvsten, additional, Pedersen, Ole Birger Vesterager, additional, Ullum, Henrik, additional, Olesen, Jes, additional, and Hansen, Thomas Folkmann, additional
- Published
- 2020
- Full Text
- View/download PDF
156. P90 Genetic risk, smoking and the development of systemic autoimmune rheumatic disease
- Author
-
Bidstrup Leffers, Henrik Christian, primary, Westergaard, David, additional, Banasik, Karina, additional, and Jacobsen, Søren, additional
- Published
- 2020
- Full Text
- View/download PDF
157. Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining
- Author
-
Kirk, Isa Kristina, primary, Simon, Christian, additional, Banasik, Karina, additional, Holm, Peter Christoffer, additional, Haue, Amalie Dahl, additional, Jensen, Peter Bjødstrup, additional, Juhl Jensen, Lars, additional, Rodríguez, Cristina Leal, additional, Pedersen, Mette Krogh, additional, Eriksson, Robert, additional, Andersen, Henrik Ullits, additional, Almdal, Thomas, additional, Bork-Jensen, Jette, additional, Grarup, Niels, additional, Borch-Johnsen, Knut, additional, Pedersen, Oluf, additional, Pociot, Flemming, additional, Hansen, Torben, additional, Bergholdt, Regine, additional, Rossing, Peter, additional, and Brunak, Søren, additional
- Published
- 2019
- Full Text
- View/download PDF
158. MTNR1B G24E Variant Associates With BMI and Fasting Plasma Glucose in the General Population in Studies of 22,142 Europeans
- Author
-
Andersson, Ehm A., Holst, Birgitte, Sparsø, Thomas, Grarup, Niels, Banasik, Karina, Holmkvist, Johan, Jørgensen, Torben, Borch-Johnsen, Knut, Egerod, Kristoffer L., Lauritzen, Torsten, Sørensen, Thorkild I.A., Bonnefond, Amélie, Meyre, David, Froguel, Philippe, Schwartz, Thue W., Pedersen, Oluf, and Hansen, Torben
- Published
- 2010
- Full Text
- View/download PDF
159. G-allele of Intronic rs10830963 in MTNR1B Confers Increased Risk of Impaired Fasting Glycemia and Type 2 Diabetes Through an Impaired Glucose-Stimulated Insulin Release: Studies Involving 19,605 Europeans
- Author
-
Sparsø, Thomas, Bonnefond, Amélie, Andersson, Ehm, Bouatia-Naji, Nabila, Holmkvist, Johan, Wegner, Lise, Grarup, Niels, Gjesing, Anette P., Banasik, Karina, Cavalcanti-Proença, Christine, Marchand, Marion, Vaxillaire, Martine, Charpentier, Guillaume, Jarvelin, Marjo-Riitta, Tichet, Jean, Balkau, Beverley, Marre, Michel, Lévy-Marchal, Claire, Færch, Kristine, Borch-Johnsen, Knut, Jørgensen, Torben, Madsbad, Sten, Poulsen, Pernille, Vaag, Allan, Dina, Christian, Hansen, Torben, Pedersen, Oluf, and Froguel, Philippe
- Published
- 2009
160. Chronic inflammation markers and cytokine-specific autoantibodies in Danish blood donors with restless legs syndrome.
- Author
-
Dowsett, Joseph, Didriksen, Maria, von Stemann, Jakob Hjorth, Larsen, Margit Hørup, Thørner, Lise Wegner, Sørensen, Erik, Erikstrup, Christian, Pedersen, Ole Birger, Hansen, Morten Bagge, Eugen-Olsen, Jesper, Banasik, Karina, and Ostrowski, Sisse Rye
- Subjects
RESTLESS legs syndrome ,BLOOD donors ,PLASMINOGEN activators ,C-reactive protein ,AUTOANTIBODIES ,INFLAMMATION ,BLOOD group antigens - Abstract
Restless Legs Syndrome (RLS) is a neurological sensorimotor disorder negatively impacting sufferers' quality of sleep and health-related quality of life. The pathophysiology of RLS is poorly understood and research focusing on the link between RLS and inflammation has been limited. Our study aimed to investigate whether chronic inflammation markers C-reactive protein (CRP) and soluble urokinase-type plasminogen activator receptor (suPAR), as well plasma levels of five different cytokine-specific autoantibodies (c-aAb), i.e. modulators of inflammation, associate with RLS in otherwise healthy individuals. CRP, suPAR and c-aAb were measured in plasma samples of participants from the Danish Blood Donor Study in 2010. Returning donors between 2015 and 2018 completed the validated Cambridge-Hopkins RLS-questionnaire for RLS assessment, resulting in datasets with RLS assessment and values for CRP (N = 3564), suPAR (N = 2546) and c-aAb (N = 1478). We performed logistic regression models using the CRP, suPAR or c-aAb as the independent variable and RLS status as the dependent variable, adjusted for appropriate covariates. Our study indicates that a high concentration of CRP is associated with RLS, while an increased probability of experiencing frequent RLS symptoms in those with an elevated plasma suPAR level appears to be mediated through lifestyle factors. We additionally report that a high titer of autoantibodies specific against the cytokine interferon-alpha was associated with RLS. Our results support the existence of links between systemic inflammation and RLS, though further RLS studies on CRP, suPAR and c-aAb in larger cohorts are warranted to confirm our findings and further reveal the hitherto underexplored links between RLS and inflammation. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
161. Intervening on the storage time of RBC units and its effects on adverse recipient outcomes using real-world data
- Author
-
Bruun-Rasmussen, Peter, Kragh Andersen, Per, Banasik, Karina, Brunak, Søren, and Johansson, Pär Ingemar
- Abstract
Randomized controlled trials (RCTs) have found no evidence that the storage time of transfused red blood cell (RBC) units affects recipient survival. However, inherent difficulties in conducting RBC transfusion RCTs have prompted critique of their design, analyses, and interpretation. Here, we address these issues by emulating hypothetical randomized trials using large real-world data to further clarify the adverse effects of storage time. We estimated the comparative effect of transfusing exclusively older vs fresher RBC units on the primary outcome of death, and the secondary composite end point of thromboembolic events, or death, using inverse probability weighting. Thresholds were defined as 1, 2, 3, and 4 weeks of storage. A large Danish blood transfusion database from the period 2008 to 2018 comprising >900 000 transfusion events defined the observational data. A total of 89 799 patients receiving >340 000 RBC transfusions during 28 days of follow-up met the eligibility criteria. Treatment with RBC units exclusively fresher than 1, 2, 3, and 4 weeks of storage was found to decrease the 28-day recipient mortality with 2.44 percentage points (pp) (0.86 pp, 4.02 pp), 1.93 pp (0.85 pp, 3.02 pp), 1.06 pp (–0.20 pp, 2.33 pp), and −0.26 pp (–1.78 pp, 1.25 pp) compared with transfusing exclusively older RBC units, respectively. The 28-day risk differences for the composite end point were similar. This study suggests that transfusing exclusively older RBC units stored for >1 or 2 weeks increases the 28-day recipient mortality and risk of thromboembolism or death compared with transfusing fresher RBC units.
- Published
- 2022
- Full Text
- View/download PDF
162. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration
- Author
-
Wilman, Henry R., Parisinos, Constantinos A., Atabaki-Pasdar, Naeimeh, Kelly, Matt, Thomas, E. Louise, Neubauer, Stefan, Jennison, Christopher, Ehrhardt, Beate, Baum, Patrick, Schoelsch, Corinna, Freijer, Jan, Grempler, Rolf, Graefe-Mody, Ulrike, Hennige, Anita, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinecich, Iryna, Pattou, Francois, Raverdi, Violeta, Caiazzo, Robert, Torres, Fanelly, Verkindt, Helene, Mari, Andrea, Tura, Andrea, Giorgino, Toni, Bizzotto, Froguel, Philippe, Bonneford, Amelie, Canouil, Mickael, Dhennin, Veronique, Brorsson, Caroline, Brunak, Soren, de Masi, Federico, Gudmundsdóttir, Valborg, Pedersen, Helle, Banasik, Karina, Thomas, Cecilia, Sackett, Peter, Staerfeldt, Hans-Henrik, Lundgaard, Agnete, Koopman, Anitra, Rutters, Femke, Beulens, Joline, Groeneveld, Lenka, Thomas, Louise, Whitcher, Brandon, Mahajan, Anubha, Hingorani, Aroon D., Patel, Riyaz S., Hemingway, Harry, Franks, Paul W., Bell, Jimmy D., Banerjee, Rajarshi, Yaghootkar, Hanieh, Epidemiology and Data Science, APH - Health Behaviors & Chronic Diseases, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, and APH - Aging & Later Life
- Abstract
Background & Aims: Excess liver iron content is common and is linked to the risk of hepatic and extrahepatic diseases. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and diseases. Methods: First, we performed a genome-wide association study (GWAS) in 8,289 individuals from UK Biobank, whose liver iron level had been quantified by magnetic resonance imaging, before validating our findings in an independent cohort (n = 1,513 from IMI DIRECT). Second, we used Mendelian randomisation to test the causal effects of 25 predominantly metabolic traits on liver iron content. Third, we tested phenome-wide associations between liver iron variants and 770 traits and disease outcomes. Results: We identified 3 independent genetic variants (rs1800562 [C282Y] and rs1799945 [H63D] in HFE and rs855791 [V736A] in TMPRSS6) associated with liver iron content that reached the GWAS significance threshold (p
- Published
- 2019
163. Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining
- Author
-
Kirk, Isa Kristina, Simon, Christian, Banasik, Karina, Holm, Peter Christoffer, Haue, Amalie Dahl, Jensen, Peter Bjodstrup, Jensen, Lars Juhl, Rodriguez, Cristina Leal, Pedersen, Mette Krogh, Eriksson, Robert, Andersen, Henrik Ullits, Almdal, Thomas, Bork-Jensen, Jette, Grarup, Niels, Borch-Johnsen, Knut, Pedersen, Oluf, Pociot, Flemming, Hansen, Torben, Bergholdt, Regine, Rossing, Peter, Brunak, Søren, Kirk, Isa Kristina, Simon, Christian, Banasik, Karina, Holm, Peter Christoffer, Haue, Amalie Dahl, Jensen, Peter Bjodstrup, Jensen, Lars Juhl, Rodriguez, Cristina Leal, Pedersen, Mette Krogh, Eriksson, Robert, Andersen, Henrik Ullits, Almdal, Thomas, Bork-Jensen, Jette, Grarup, Niels, Borch-Johnsen, Knut, Pedersen, Oluf, Pociot, Flemming, Hansen, Torben, Bergholdt, Regine, Rossing, Peter, and Brunak, Søren
- Published
- 2019
164. Self-reported restless legs syndrome and involuntary leg movements during sleep are associated with symptoms of attention deficit hyperactivity disorder
- Author
-
Didriksen, Maria, Thørner, Lise W., Erikstrup, Christian, Pedersen, Ole B, Paarup, Helene M, Petersen, Mikkel, Hansen, Thomas F., Banasik, Karina, Nielsen, Kaspar R, Hjalgrim, Henrik, Jennum, Poul J, Sørensen, Erik, Burgdorf, Kristoffer S, Ullum, Henrik, Didriksen, Maria, Thørner, Lise W., Erikstrup, Christian, Pedersen, Ole B, Paarup, Helene M, Petersen, Mikkel, Hansen, Thomas F., Banasik, Karina, Nielsen, Kaspar R, Hjalgrim, Henrik, Jennum, Poul J, Sørensen, Erik, Burgdorf, Kristoffer S, and Ullum, Henrik
- Abstract
BACKGROUND: Restless legs syndrome (RLS) and attention-deficit hyperactivity disorder (ADHD) are disorders with virtually unknown etiologies. Several studies suggest that these disorders are comorbid. However, previous findings may have been influenced by study participants undergoing medical treatments. Thus, the association between RLS and ADHD needs to be investigated in a large population of individuals, not in continuous medical treatment.MATERIALS AND METHODS: This was a cross-sectional study of 25,336 participants enrolled in the Danish Blood Donor Study from May 1, 2015, to February 1, 2017. Study participants completed the Cambridge-Hopkins RLS questionnaire, reported experience of involuntary leg movements during sleep (ILMS), completed the Adult ADHD Self-Report Scale v.1.1 (ASRS), and provided information on sex, age, body mass index, smoking status, alcohol consumption, whole blood donation history, and self-appraised quality of sleep. Associations between RLS and ADHD symptoms, including subtypes, were examined using multivariate linear- and logistic regression analyses.RESULTS: Of the 25,336 participants with complete data, 1,322 (5.2%) were classified with RLS, and 653 (2.6%) experienced ADHD symptoms. RLS sufferers were more prone to classify with ADHD according to the full ASRS (OR = 3.57, 95% CI: 3.14-4.0), and they were also more likely to experience ADHD-subtype symptoms (inattention, OR = 1.66, 95% CI: 1.43-1.90; hyperactivity-impulsivity, OR = 1.90, 95% CI: 1.66-2.14). Finally, RLS sufferers with ILMS had increased odds for ADHD symptoms compared with RLS sufferers without (OR = 2.15, 95% CI: 1.30-3.55). This was also observed for the hyperactivity-impulsivity subtype (OR = 5.57, 95% CI: 2.14-14.5).CONCLUSIONS: RLS and ADHD are associated and may be comorbid disorders.
- Published
- 2019
165. Migraine polygenic risk score associates with efficacy of migraine-specific drugs
- Author
-
Kogelman, Lisette J. A., Esserlind, Ann-Louise, Christensen, Anne Francke, Awasthi, Swapnil, Ripke, Stephan, Ingason, Andres, Davidsson, Olafur B., Erikstrup, Christian, Hjalgrim, Henrik, Ullum, Henrik, Olesen, Jes, Hansen, Thomas Folkmann, Gudbjartsson, Daniel, Gastafsson, Omar, Stefansson, Kari, Stefansson, Hreinn, Porsteinsdottir, Unnur, Andersen, Steffen, Banasik, Karina, Brunak, Søren, Buil, Alfonso, Burgdorf, Kristoffer, Gregor, Jemec, Jennum, Poul, Nielsen, Kasper Rene, Nyegaard, Mette, Paarup, Helene Mariana, Pedersen, Ole Birger, Sørensen, Erik, Werge, Thomas, Anttila, Verneri, Artto, Ville, Belin, Andrea Carmine, de Boer, Irene, Boomsma, Dorret, I, Borte, Sigrid, Chasman, Daniel, I, Cherkas, Lynn, Cormand, Bru, Cuenca-Leon, Ester, Davey-Smith, George, Dichgans, Martin, van Duijn, Cornelia, Esko, Tonu, Ferrari, Michel, Frants, Rune R., Freilinger, Tobias, Furlotte, Nick, Gormley, Padhraig, Griffiths, Lyn, Hamalainen, Eija, Hiekkala, Marjo, Ikram, M. Arfan, Jarvelin, Marjo-Riitta, Kajanne, Risto, Kallela, Mikko, Kaprio, Jaakko, Kaunisto, Mari, Kubisch, Christian, Kurki, Mitja, Kurth, Tobias, Launer, Lenore, Lehtimaki, Terho, Lessel, Davor, Ligthart, Lannie, Litterman, Nadia, van den Maagdenberg, Arn, Macaya, Alfons, Malik, Rainer, Mangino, Massimo, McMahon, George, Muller-Myhsok, Bertram, Neale, Benjamin M., Northover, Carrie, Nyholt, Dale R., Palotie, Aarno, Palta, Priit, Pedersen, Linda, Pedersen, Nancy, Posthuma, Danielle, Pozo-Rosich, Patricia, Pressman, Alice, Raitakari, Olli, Schurks, Markus, Sintas, Celia, Steinberg, Stacy, Strachan, David, Terwindt, Gisela, Vila-Pueyo, Marta, Wessman, Maija, Winsvold, Bendik S., Zhao, Huiying, Zwart, John-Anker, Kogelman, Lisette J. A., Esserlind, Ann-Louise, Christensen, Anne Francke, Awasthi, Swapnil, Ripke, Stephan, Ingason, Andres, Davidsson, Olafur B., Erikstrup, Christian, Hjalgrim, Henrik, Ullum, Henrik, Olesen, Jes, Hansen, Thomas Folkmann, Gudbjartsson, Daniel, Gastafsson, Omar, Stefansson, Kari, Stefansson, Hreinn, Porsteinsdottir, Unnur, Andersen, Steffen, Banasik, Karina, Brunak, Søren, Buil, Alfonso, Burgdorf, Kristoffer, Gregor, Jemec, Jennum, Poul, Nielsen, Kasper Rene, Nyegaard, Mette, Paarup, Helene Mariana, Pedersen, Ole Birger, Sørensen, Erik, Werge, Thomas, Anttila, Verneri, Artto, Ville, Belin, Andrea Carmine, de Boer, Irene, Boomsma, Dorret, I, Borte, Sigrid, Chasman, Daniel, I, Cherkas, Lynn, Cormand, Bru, Cuenca-Leon, Ester, Davey-Smith, George, Dichgans, Martin, van Duijn, Cornelia, Esko, Tonu, Ferrari, Michel, Frants, Rune R., Freilinger, Tobias, Furlotte, Nick, Gormley, Padhraig, Griffiths, Lyn, Hamalainen, Eija, Hiekkala, Marjo, Ikram, M. Arfan, Jarvelin, Marjo-Riitta, Kajanne, Risto, Kallela, Mikko, Kaprio, Jaakko, Kaunisto, Mari, Kubisch, Christian, Kurki, Mitja, Kurth, Tobias, Launer, Lenore, Lehtimaki, Terho, Lessel, Davor, Ligthart, Lannie, Litterman, Nadia, van den Maagdenberg, Arn, Macaya, Alfons, Malik, Rainer, Mangino, Massimo, McMahon, George, Muller-Myhsok, Bertram, Neale, Benjamin M., Northover, Carrie, Nyholt, Dale R., Palotie, Aarno, Palta, Priit, Pedersen, Linda, Pedersen, Nancy, Posthuma, Danielle, Pozo-Rosich, Patricia, Pressman, Alice, Raitakari, Olli, Schurks, Markus, Sintas, Celia, Steinberg, Stacy, Strachan, David, Terwindt, Gisela, Vila-Pueyo, Marta, Wessman, Maija, Winsvold, Bendik S., Zhao, Huiying, and Zwart, John-Anker
- Published
- 2019
166. Persons who have never had a headache. Socio-demographic characteristics
- Author
-
Olofsson, Isa A., Erikstrup, Christian, Sørensen, Erik, Paarup, Helene M., Mathiasen, Henriette P., Hjalmgrim, Henrik, Banasik, Karina, Nielsen, Kaspar R., Burgdorf, Kristoffer S., Pedersen, Ole B. V., Ullum, Henrik, Olesen, Jes, Hansen, Thomas F., Olofsson, Isa A., Erikstrup, Christian, Sørensen, Erik, Paarup, Helene M., Mathiasen, Henriette P., Hjalmgrim, Henrik, Banasik, Karina, Nielsen, Kaspar R., Burgdorf, Kristoffer S., Pedersen, Ole B. V., Ullum, Henrik, Olesen, Jes, and Hansen, Thomas F.
- Published
- 2019
167. DBDS Genomic Cohort, a prospective and comprehensive resource for integrative and temporal analysis of genetic, environmental and lifestyle factors affecting health of blood donors
- Author
-
Hansen, Thomas Folkmann, Banasik, Karina, Erikstrup, Christian, Pedersen, Ole Birger, Westergaard, David, Chmura, Piotr Jaroslaw, Nielsen, Kaspar, Thørner, Lise, Hjalgrim, Henrik, Paarup, Helene, Larsen, Margit Anita Hørup, Petersen, Mikkel, Jennum, Poul, Andersen, Steffen, Nyegaard, Mette, Jemec, Gregor Borut Ernst, Olesen, Jes, Werge, Thomas, Johansson, Pär I, Sørensen, Erik, Brunak, Søren, Ullum, Henrik, Burgdorf, Kristoffer Sølvsten, Hansen, Thomas Folkmann, Banasik, Karina, Erikstrup, Christian, Pedersen, Ole Birger, Westergaard, David, Chmura, Piotr Jaroslaw, Nielsen, Kaspar, Thørner, Lise, Hjalgrim, Henrik, Paarup, Helene, Larsen, Margit Anita Hørup, Petersen, Mikkel, Jennum, Poul, Andersen, Steffen, Nyegaard, Mette, Jemec, Gregor Borut Ernst, Olesen, Jes, Werge, Thomas, Johansson, Pär I, Sørensen, Erik, Brunak, Søren, Ullum, Henrik, and Burgdorf, Kristoffer Sølvsten
- Abstract
PURPOSE: To establish a cohort that enables identification of genomic factors that influence human health and empower increased blood donor health and safe blood transfusions. Human health is complex and involves several factors, a major one being the genomic aspect. The genomic era has resulted in many consortia encompassing large samples sizes, which has proven successful for identifying genetic factors associated with specific traits. However, it remains a big challenge to establish large cohorts that facilitate studies of the interaction between genetic factors, environmental and life-style factors as these change over the course of life. A major obstacle to such endeavours is that it is difficult to revisit participants to retrieve additional information and obtain longitudinal, consecutive measurements.PARTICIPANTS: Blood donors (n=110 000) have given consent to participate in the Danish Blood Donor Study. The study uses the infrastructure of the Danish blood banks.FINDINGS TO DATE: The cohort comprises extensive phenotype data and whole genome genotyping data. Further, it is possible to retrieve additional phenotype data from national registries as well as from the donors at future visits, including consecutive measurements.FUTURE PLANS: To provide new knowledge on factors influencing our health and thus provide a platform for studying the influence of genomic factors on human health, in particular the interaction between environmental and genetic factors.
- Published
- 2019
168. Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease.
- Author
-
Tenghao Zheng, Ellinghaus, David, Juzenas, Simonas, Cossais, François, Burmeister, Greta, Mayr, Gabriele, Jørgensen, Isabella Friis, Teder-Laving, Maris, Skogholt, Anne Heidi, Sisi Chen, Strege, Peter R., Ito, Go, Banasik, Karina, Becker, Thomas, Bokelmann, Frank, Brunak, Søren, Buch, Stephan, Clausnitzer, Hartmut, Datz, Christian, and Degenhardt, Frauke
- Subjects
ETIOLOGY of diseases ,IRRITABLE colon ,EHLERS-Danlos syndrome ,MEDICAL sciences ,LIFE sciences ,GENETIC variation ,RNA-binding proteins - Published
- 2021
- Full Text
- View/download PDF
169. The effect of FOXA2 rs1209523 on glucose-related phenotypes and risk of type 2 diabetes in Danish individuals
- Author
-
Banasik Karina, Hollensted Mette, Andersson Ehm, Sparsø Thomas, Sandbæk Annelli, Lauritzen Torsten, Jørgensen Torben, Witte Daniel R, Pedersen Oluf, and Hansen Torben
- Subjects
Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background Variations within the FOXA family have been studied for a putative contribution to the risk of type 2 diabetes (T2D), and recently the minor T-allele of FOXA2 rs1209523 was reported to associate with decreased fasting plasma glucose levels in a study using a weighted false discovery rate control procedure to enhance the statistical power of genome wide association studies in detecting associations between low-frequency variants and a given trait. Thus, the primary aim of this study was to investigate whether the minor T-allele of rs1205923 in FOXA2 associated with 1) decreased fasting plasma glucose and 2) a lower risk of developing T2D. Secondly, we investigated whether rs1205923 in FOXA2 associated with other glucose-related phenotypes. Methods The variant was genotyped in Danish individuals from four different study populations using KASPar® PCR SNP genotyping system. We examined for associations of the FOXA2 genotype with fasting plasma glucose and estimates of insulin release and insulin sensitivity following an oral glucose tolerance test in 6,162 Danish individuals from the population-based Inter99 study while association with T2D risk was assessed in 10,196 Danish individuals including four different study populations. Results The FOXA2 rs1209523 was not associated with fasting plasma glucose (effect size (β) = -0.03 mmol/l (95%CI: -0.07; 0.01), p = 0.2) in glucose-tolerant individuals from the general Danish population. Furthermore, when employing a case-control setting the variant showed no association with T2D (odds ratio (OR) = 0.82 (95%CI: 0.62-1.07), p = 0.1) among Danish individuals. However, when we performed the analysis in a subset of 6,022 non-obese individuals (BMI < 30 kg/m2) an association with T2D was observed (OR = 0.68 (95%CI: 0.49-0.94), p = 0.02). Also, several indices of insulin release and β-cell function were associated with the minor T-allele of FOXA2 rs1209523 in non-obese individuals. Conclusions We failed to replicate association of the minor T-allele of FOXA2 rs1209523 with fasting plasma glucose in a population based sample of glucose tolerant individuals. More extensive studies are needed in order to fully elucidate the potential role of FOXA2 in glucose homeostasis.
- Published
- 2012
- Full Text
- View/download PDF
170. Author response: Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining
- Author
-
Kirk, Isa Kristina, primary, Simon, Christian, additional, Banasik, Karina, additional, Holm, Peter Christoffer, additional, Haue, Amalie Dahl, additional, Jensen, Peter Bjødstrup, additional, Juhl Jensen, Lars, additional, Rodríguez, Cristina Leal, additional, Pedersen, Mette Krogh, additional, Eriksson, Robert, additional, Andersen, Henrik Ullits, additional, Almdal, Thomas, additional, Bork-Jensen, Jette, additional, Grarup, Niels, additional, Borch-Johnsen, Knut, additional, Pedersen, Oluf, additional, Pociot, Flemming, additional, Hansen, Torben, additional, Bergholdt, Regine, additional, Rossing, Peter, additional, and Brunak, Søren, additional
- Published
- 2019
- Full Text
- View/download PDF
171. DBDS Genomic Cohort, a prospective and comprehensive resource for integrative and temporal analysis of genetic, environmental and lifestyle factors affecting health of blood donors
- Author
-
Hansen, Thomas Folkmann, primary, Banasik, Karina, additional, Erikstrup, Christian, additional, Pedersen, Ole Birger, additional, Westergaard, David, additional, Chmura, Piotr Jaroslaw, additional, Nielsen, Kaspar, additional, Thørner, Lise, additional, Hjalgrim, Henrik, additional, Paarup, Helene, additional, Larsen, Margit Anita Hørup, additional, Petersen, Mikkel, additional, Jennum, Poul, additional, Andersen, Steffen, additional, Nyegaard, Mette, additional, Jemec, Gregor Borut Ernst, additional, Olesen, Jes, additional, Werge, Thomas, additional, Johansson, Pär I, additional, Sørensen, Erik, additional, Brunak, Søren, additional, Ullum, Henrik, additional, and Burgdorf, Kristoffer Sølvsten, additional
- Published
- 2019
- Full Text
- View/download PDF
172. Self-reported restless legs syndrome and involuntary leg movements during sleep are associated with symptoms of attention deficit hyperactivity disorder
- Author
-
Didriksen, Maria, primary, Thørner, Lise W., additional, Erikstrup, Christian, additional, Pedersen, Ole B., additional, Paarup, Helene M., additional, Petersen, Mikkel, additional, Hansen, Thomas F., additional, Banasik, Karina, additional, Nielsen, Kaspar R., additional, Hjalgrim, Henrik, additional, Jennum, Poul J., additional, Sørensen, Erik, additional, Burgdorf, Kristoffer S., additional, and Ullum, Henrik, additional
- Published
- 2019
- Full Text
- View/download PDF
173. The minor C-allele of rs2014355 in ACADS is associated with reduced insulin release following an oral glucose load
- Author
-
Pisinger Charlotta, Lauritzen Torsten, Sandbæk Annelli, Andersson Åsa, Sandholt Camilla H, Krarup Nikolaj T, Justesen Johanne M, Banasik Karina, Hornbak Malene, Witte Daniel R, Sørensen Thorkild IA, Pedersen Oluf, and Hansen Torben
- Subjects
Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background A genome-wide association study (GWAS) using metabolite concentrations as proxies for enzymatic activity, suggested that two variants: rs2014355 in the gene encoding short-chain acyl-coenzyme A dehydrogenase (ACADS) and rs11161510 in the gene encoding medium-chain acyl-coenzyme A dehydrogenase (ACADM) impair fatty acid β-oxidation. Chronic exposure to fatty acids due to an impaired β-oxidation may down-regulate the glucose-stimulated insulin release and result in an increased risk of type 2 diabetes (T2D). We aimed to investigate whether the two variants associate with altered insulin release following an oral glucose load or with T2D. Methods The variants were genotyped using KASPar® PCR SNP genotyping system and investigated for associations with estimates of insulin release and insulin sensitivity following an oral glucose tolerance test (OGTT) in a random sample of middle-aged Danish individuals (nACADS = 4,324; nACADM = 4,337). The T2D-case-control study involved a total of ~8,300 Danish individuals (nACADS = 8,313; nACADM = 8,344). Results In glucose-tolerant individuals the minor C-allele of rs2014355 of ACADS associated with reduced measures of serum insulin at 30 min following an oral glucose load (per allele effect (β) = -3.8% (-6.3%;-1.3%), P = 0.003), reduced incremental area under the insulin curve (β = -3.6% (-6.3%;-0.9%), P = 0.009), reduced acute insulin response (β = -2.2% (-4.2%;0.2%), P = 0.03), and with increased insulin sensitivity ISIMatsuda (β = 2.9% (0.5%;5.2%), P = 0.02). The C-allele did not associate with two other measures of insulin sensitivity or with a derived disposition index. The C-allele was not associated with T2D in the case-control analysis (OR 1.07, 95% CI 0.96-1.18, P = 0.21). rs11161510 of ACADM did not associate with any indices of glucose-stimulated insulin release or with T2D. Conclusions In glucose-tolerant individuals the minor C-allele of rs2014355 of ACADS was associated with reduced measures of glucose-stimulated insulin release during an OGTT, a finding which in part may be mediated through an impaired β-oxidation of fatty acids.
- Published
- 2011
- Full Text
- View/download PDF
174. Socio-demographic characteristics of adults with self-reported ADHD symptoms in a Danishpopulation of 12,415 blood donors
- Author
-
Høffding, Louise.K.Enggaard, Nielsen, Maria Haahr, Didriksen, Maria, Schow, Trine, Werge, Thomas, Nielsen, Kaspar R., Erikstrup, Christian, Pedersen, Ole B, Hjalgrim, Henrik, Jepsen, Jens Richardt Møllegaard, Hansen, Thomas F., Banasik, Karina, Ullum, Henrik, Burgdorf, Kristoffer, Høffding, Louise.K.Enggaard, Nielsen, Maria Haahr, Didriksen, Maria, Schow, Trine, Werge, Thomas, Nielsen, Kaspar R., Erikstrup, Christian, Pedersen, Ole B, Hjalgrim, Henrik, Jepsen, Jens Richardt Møllegaard, Hansen, Thomas F., Banasik, Karina, Ullum, Henrik, and Burgdorf, Kristoffer
- Published
- 2018
175. Toppar:an interactive browser for viewing association study results
- Author
-
Juliusdottir, Thorhildur, Banasik, Karina, Robertson, Neil R., Mott, Richard, McCarthy, Mark I., Juliusdottir, Thorhildur, Banasik, Karina, Robertson, Neil R., Mott, Richard, and McCarthy, Mark I.
- Abstract
Summary: Data integration and visualization help geneticists make sense of large amounts of data. To help facilitate interpretation of genetic association data we developed Toppar, a customizable visualization tool that stores results from association studies and enables browsing over multiple results, by combining features from existing tools and linking to appropriate external databases.Availability and implementation: Detailed information on Toppar's features and functionality are on our website http://mccarthy.well.ox.ac.uk/toppar/docs along with instructions on how to download, install and run Toppar. Our online version of Toppar is accessible from the website and can be test-driven using Firefox, Safari or Chrome on sub-sets of publicly available genome-wide association study anthropometric waist and body mass index data (Locke et al., 2015; Shungin et al., 2015) from the Genetic Investigation of ANthropometric Traits consortium.Contact: totajuliusd@gmail.com.
- Published
- 2018
176. The governance structure for data access in the DIRECT consortium:an innovative medicines initiative (IMI) project
- Author
-
Teare, Harriet J A, de Masi, Federico, Banasik, Karina, Barnett, Anna, Herrgard, Sanna, Jablonka, Bernd, Postma, Jacqueline W M, McDonald, Timothy J, Forgie, Ian, Chmura, Piotr J, Rydzka, Emil K, Gupta, Ramneek, Brunak, Søren, Pearson, Ewan, Kaye, Jane, Teare, Harriet J A, de Masi, Federico, Banasik, Karina, Barnett, Anna, Herrgard, Sanna, Jablonka, Bernd, Postma, Jacqueline W M, McDonald, Timothy J, Forgie, Ian, Chmura, Piotr J, Rydzka, Emil K, Gupta, Ramneek, Brunak, Søren, Pearson, Ewan, and Kaye, Jane
- Abstract
Biomedical research projects involving multiple partners from public and private sectors require coherent internal governance mechanisms to engender good working relationships. The DIRECT project is an example of such a venture, funded by the Innovative Medicines Initiative Joint Undertaking (IMI JU). This paper describes the data access policy that was developed within DIRECT to support data access and sharing, via the establishment of a 3-tiered Data Access Committee. The process was intended to allow quick access to data, whilst enabling strong oversight of how data were being accessed and by whom, and any subsequent analyses, to contribute to the overall objectives of the consortium.
- Published
- 2018
177. Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion:A DIRECT study
- Author
-
Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Allebrandt, Karla Viviani, Brorsson, Caroline Anna, van Leeuwen, Nienke, Banasik, Karina, Mahajan, Anubha, Groves, Christopher J, van de Bunt, Martijn, Dawed, Adem Y, Fritsche, Andreas, Staiger, Harald, Simonis-Bik, Annemarie M C, Deelen, Joris, Kramer, Mark H H, Dietrich, Axel, Hübschle, Thomas, Willemsen, Gonneke, Häring, Hans-Ulrich, de Geus, Eco J C, Boomsma, Dorret I, Eekhoff, Elisabeth M W, Ferrer, Jorge, McCarthy, Mark I, Pearson, Ewan R, Gupta, Ramneek, Brunak, Søren, 't Hart, Leen M, Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Allebrandt, Karla Viviani, Brorsson, Caroline Anna, van Leeuwen, Nienke, Banasik, Karina, Mahajan, Anubha, Groves, Christopher J, van de Bunt, Martijn, Dawed, Adem Y, Fritsche, Andreas, Staiger, Harald, Simonis-Bik, Annemarie M C, Deelen, Joris, Kramer, Mark H H, Dietrich, Axel, Hübschle, Thomas, Willemsen, Gonneke, Häring, Hans-Ulrich, de Geus, Eco J C, Boomsma, Dorret I, Eekhoff, Elisabeth M W, Ferrer, Jorge, McCarthy, Mark I, Pearson, Ewan R, Gupta, Ramneek, Brunak, Søren, and 't Hart, Leen M
- Abstract
Glucagon-like peptide 1 (GLP-1) stimulated insulin secretion has a considerable heritable component as estimated from twin studies, yet few genetic variants influencing this phenotype have been identified. We performed the first genome-wide association study (GWAS) of GLP-1 stimulated insulin secretion in non-diabetic individuals from the Netherlands Twin register (n = 126). This GWAS was enhanced using a tissue-specific protein-protein interaction network approach. We identified a beta-cell protein-protein interaction module that was significantly enriched for low gene scores based on the GWAS P-values and found support at the network level in an independent cohort from Tübingen, Germany (n = 100). Additionally, a polygenic risk score based on SNPs prioritized from the network was associated (P < 0.05) with glucose-stimulated insulin secretion phenotypes in up to 5,318 individuals in MAGIC cohorts. The network contains both known and novel genes in the context of insulin secretion and is enriched for members of the focal adhesion, extracellular-matrix receptor interaction, actin cytoskeleton regulation, Rap1 and PI3K-Akt signaling pathways. Adipose tissue is, like the beta-cell, one of the target tissues of GLP-1 and we thus hypothesized that similar networks might be functional in both tissues. In order to verify peripheral effects of GLP-1 stimulation, we compared the transcriptome profiling of ob/ob mice treated with liraglutide, a clinically used GLP-1 receptor agonist, versus baseline controls. Some of the upstream regulators of differentially expressed genes in the white adipose tissue of ob/ob mice were also detected in the human beta-cell network of genes associated with GLP-1 stimulated insulin secretion. The findings provide biological insight into the mechanisms through which the effects of GLP-1 may be modulated and highlight a potential role of the beta-cell expressed genes RYR2, GDI2, KIAA0232, COL4A1 and COL4A2 in GLP-1 stimulated insulin secre
- Published
- 2018
178. Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study
- Author
-
Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Allebrandt, Karla Viviani, Brorsson, Caroline Anna, van Leeuwen, Nienke, Banasik, Karina, Mahajan, Anubha, Groves, Christopher J, van de Bunt, Martijn, Dawed, Adem Y, Fritsche, Andreas, Staiger, Harald, Simonis-Bik, Annemarie M C, Deelen, Joris, Kramer, Mark H H, Dietrich, Axel, Hübschle, Thomas, Willemsen, Gonneke, Häring, Hans-Ulrich, de Geus, Eco J C, Boomsma, Dorret I, Eekhoff, Elisabeth M W, Ferrer, Jorge, McCarthy, Mark I, Pearson, Ewan R, Gupta, Ramneek, Brunak, Søren, 't Hart, Leen M, Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Allebrandt, Karla Viviani, Brorsson, Caroline Anna, van Leeuwen, Nienke, Banasik, Karina, Mahajan, Anubha, Groves, Christopher J, van de Bunt, Martijn, Dawed, Adem Y, Fritsche, Andreas, Staiger, Harald, Simonis-Bik, Annemarie M C, Deelen, Joris, Kramer, Mark H H, Dietrich, Axel, Hübschle, Thomas, Willemsen, Gonneke, Häring, Hans-Ulrich, de Geus, Eco J C, Boomsma, Dorret I, Eekhoff, Elisabeth M W, Ferrer, Jorge, McCarthy, Mark I, Pearson, Ewan R, Gupta, Ramneek, Brunak, Søren, and 't Hart, Leen M
- Abstract
Glucagon-like peptide 1 (GLP-1) stimulated insulin secretion has a considerable heritable component as estimated from twin studies, yet few genetic variants influencing this phenotype have been identified. We performed the first genome-wide association study (GWAS) of GLP-1 stimulated insulin secretion in non-diabetic individuals from the Netherlands Twin register (n = 126). This GWAS was enhanced using a tissue-specific protein-protein interaction network approach. We identified a beta-cell protein-protein interaction module that was significantly enriched for low gene scores based on the GWAS P-values and found support at the network level in an independent cohort from Tübingen, Germany (n = 100). Additionally, a polygenic risk score based on SNPs prioritized from the network was associated (P <0.05) with glucose-stimulated insulin secretion phenotypes in up to 5,318 individuals in MAGIC cohorts. The network contains both known and novel genes in the context of insulin secretion and is enriched for members of the focal adhesion, extracellular-matrix receptor interaction, actin cytoskeleton regulation, Rap1 and PI3K-Akt signaling pathways. Adipose tissue is, like the beta-cell, one of the target tissues of GLP-1 and we thus hypothesized that similar networks might be functional in both tissues. In order to verify peripheral effects of GLP-1 stimulation, we compared the transcriptome profiling of ob/ob mice treated with liraglutide, a clinically used GLP-1 receptor agonist, versus baseline controls. Some of the upstream regulators of differentially expressed genes in the white adipose tissue of ob/ob mice were also detected in the human beta-cell network of genes associated with GLP-1 stimulated insulin secretion. The findings provide biological insight into the mechanisms through which the effects of GLP-1 may be modulated and highlight a potential role of the beta-cell expressed genes RYR2, GDI2, KIAA0232, COL4A1 and COL4A2 in GLP-1 stimulated insulin secretion
- Published
- 2018
179. Migraine polygenic risk score associates with efficacy of migraine-specific drugs
- Author
-
Kogelman, Lisette JA, Esserlind, Ann-Louise, Christensen, Anne Francke, Awasthi, Swapnil, Ripke, Stephan, Ingason, Andres, Davidsson, Olafur B, Erikstrup, Christian, Hjalgrim, Henrik, Ullum, Henrik, Olesen, Jes, Hansen, Thomas Folkmann, Gudbjartsson, Daniel, Gastafsson, Omar, Stefansson, Kari, Stefansson, Hreinn, Porsteinsdottir, Unnur, Andersen, Steffen, Banasik, Karina, Brunak, Soren, Buil, Alfonso, Burgdorf, Kristoffer, Gregor, Jemec, Jennum, Poul, Nielsen, Kasper Rene, Nyegaard, Mette, Paarup, Helene Mariana, Pedersen, Ole Birger, Sorensen, Erik, Werge, Thomas, Anttila, Verneri, Artto, Ville, Belin, Andrea Carmine, de Boer, Irene, Boomsma, Dorret I, Borte, Sigrid, Chasman, Daniel I, Cherkas, Lynn, Cormand, Bru, Cuenca-Leon, Ester, Davey-Smith, George, Dichgans, Martin, van Duijn, Cornelia, Esko, Tonu, Ferrari, Michel, Frants, Rune R, Freilinger, Tobias, Furlotte, Nick, Gormley, Padhraig, Griffiths, Lyn, Hamalainen, Eija, Hiekkala, Marjo, Ikram, M Arfan, Jarvelin, Marjo-Riitta, Kajanne, Risto, Kallela, Mikko, Kaprio, Jaakko, Kaunisto, Mari, Kubisch, Christian, Kurki, Mitja, Kurth, Tobias, Launer, Lenore, Lehtimaki, Terho, Lessel, Davor, Ligthart, Lannie, Litterman, Nadia, van den Maagdenberg, Arn, Macaya, Alfons, Malik, Rainer, Mangino, Massimo, McMahon, George, Muller-Myhsok, Bertram, Neale, Benjamin M, Northover, Carrie, Nyholt, Dale R, Palotie, Aarno, Palta, Priit, Pedersen, Linda, Pedersen, Nancy, Posthuma, Danielle, Pozo-Rosich, Patricia, Pressman, Alice, Raitakari, Olli, Schurks, Markus, Sintas, Celia, Steinberg, Stacy, Strachan, David, Terwindt, Gisela, Vila-Pueyo, Marta, Wessman, Maija, Winsvold, Bendik S, Zhao, Huiying, Zwart, John-Anker, Consortium, DBDS Genomic, Consortium, Int Headache Genetics, Neurologian yksikkö, HUS Helsinki and Uusimaa Hospital District, HUS Neurocenter, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Research Programs Unit, and Aarno Palotie / Principal Investigator
- Subjects
0301 basic medicine ,medicine.medical_specialty ,SUSCEPTIBILITY LOCI ,PHARMACOGENOMICS ,Triptans ,Logistic regression ,Article ,3124 Neurology and psychiatry ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,SCHIZOPHRENIA ,Medicine ,Migraine treatment ,METAANALYSIS ,Genetics (clinical) ,business.industry ,1184 Genetics, developmental biology, physiology ,3112 Neurosciences ,Area under the curve ,Odds ratio ,medicine.disease ,Confidence interval ,3. Good health ,030104 developmental biology ,Migraine ,Cohort ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,medicine.drug - Abstract
ObjectiveTo assess whether the polygenic risk score (PRS) for migraine is associated with acute and/or prophylactic migraine treatment response.MethodsWe interviewed 2,219 unrelated patients at the Danish Headache Center using a semistructured interview to diagnose migraine and assess acute and prophylactic drug response. All patients were genotyped. A PRS was calculated with the linkage disequilibrium pred algorithm using summary statistics from the most recent migraine genome-wide association study comprising ∼375,000 cases and controls. The PRS was scaled to a unit corresponding to a twofold increase in migraine risk, using 929 unrelated Danish controls as reference. The association of the PRS with treatment response was assessed by logistic regression, and the predictive power of the model by area under the curve using a case-control design with treatment response as outcome.ResultsA twofold increase in migraine risk associates with positive response to migraine-specific acute treatment (odds ratio [OR] = 1.25 [95% confidence interval (CI) = 1.05–1.49]). The association between migraine risk and migraine-specific acute treatment was replicated in an independent cohort consisting of 5,616 triptan users with prescription history (OR = 3.20 [95% CI = 1.26–8.14]). No association was found for acute treatment with non–migraine-specific weak analgesics and prophylactic treatment response.ConclusionsThe migraine PRS can significantly identify subgroups of patients with a higher-than-average likelihood of a positive response to triptans, which provides a first step toward genetics-based precision medicine in migraine.
- Published
- 2019
180. Toppar: an interactive browser for viewing association study results
- Author
-
Juliusdottir, Thorhildur, primary, Banasik, Karina, additional, Robertson, Neil R, additional, Mott, Richard, additional, and McCarthy, Mark I, additional
- Published
- 2018
- Full Text
- View/download PDF
181. Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study
- Author
-
Gudmundsdottir, Valborg, primary, Pedersen, Helle Krogh, additional, Allebrandt, Karla Viviani, additional, Brorsson, Caroline, additional, van Leeuwen, Nienke, additional, Banasik, Karina, additional, Mahajan, Anubha, additional, Groves, Christopher J., additional, van de Bunt, Martijn, additional, Dawed, Adem Y., additional, Fritsche, Andreas, additional, Staiger, Harald, additional, Simonis-Bik, Annemarie M. C., additional, Deelen, Joris, additional, Kramer, Mark H. H., additional, Dietrich, Axel, additional, Hübschle, Thomas, additional, Willemsen, Gonneke, additional, Häring, Hans-Ulrich, additional, de Geus, Eco J. C., additional, Boomsma, Dorret I., additional, Eekhoff, Elisabeth M. W., additional, Ferrer, Jorge, additional, McCarthy, Mark I., additional, Pearson, Ewan R., additional, Gupta, Ramneek, additional, Brunak, Søren, additional, and ‘t Hart, Leen M., additional
- Published
- 2018
- Full Text
- View/download PDF
182. is involved in the development of nonalcoholic fatty liver disease
- Author
-
Vazquez-Chantada, Mercedes, Gonzalez-Lahera, Aintzane, Martinez-Arranz, Ibon, Garcia-Monzon, Carmelo, Regueiro, Manuela M., Garcia-Rodriguez, Juan L., Schlangen, Karin A., Mendibil, Iñaki, Rodriguez-Ezpeleta, Naiara, Lozano, Juan J., Banasik, Karina, Justesen, Johanne M., Joergensen, Torben, Witte, Daniel R., Lauritzen, Torsten, Hansen, Torben, Pedersen, Oluf, Veyrie, Nicolas, Clement, Karine, Tordjman, Joan, Tran, Albert, Le Marchand-Brustel, Yannik, Buque, Xabier, Aspichueta, Patricia, Echevarria-Uraga, Jose J., Martin-Duce, Antonio, Caballeria, Joan, Gual, Philippe, Castro, Azucena, Mato, Jose M., Martinez-Chantar, Maria L., and Aransay, Ana M.
- Published
- 2013
- Full Text
- View/download PDF
183. A Genome-Wide Association Study of IVGTT-Based Measures of First Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants
- Author
-
Wood, Andrew R, Jonsson, Anna, Jackson, Anne U, Wang, Nan, van Leewen, Nienke, Palmer, Nicholette D, Kobes, Sayuko, Deelen, Joris, Boquete-Vilarino, Lorena, Paananen, Jussi, Stančáková, Alena, Boomsma, Dorret I, de Geus, J.C.N., Eekhoff, Elisabeth Mw, Fritsche, Andreas, Kramer, Mark H H, Nijpels, Giel, Simonis-Bik, A.M.C., van Haeften, Timon W, Mahajan, Anubha, Boehnke, Michael, Bergman, Richard N, Tuomilehto, Jaakko, Collins, Francis S, Mohlke, Karen L, Banasik, Karina, Groves, Christopher J, McCarthy, Mark I, Pearson, Ewan R, Natali, Andrea, Mari, Andrea, Buchanan, Thomas A, Taylor, Kent D, Xiang, Anny H, Gjesing, Anette P, Grarup, Niels, Eiberg, Hans, Pedersen, Oluf, Chen, Yii-Derr, Laakso, Markku, Norris, Jill M, Smith, Ulf, Wagenknecht, Lynne E, Baier, Leslie, Bowden, Donald W, Hansen, Torben, Walker, Mark, Watanabe, Richard M, 't Hart, Leen M, Hanson, Robert L, Frayling, Timothy M, Wood, Andrew R, Jonsson, Anna, Jackson, Anne U, Wang, Nan, van Leewen, Nienke, Palmer, Nicholette D, Kobes, Sayuko, Deelen, Joris, Boquete-Vilarino, Lorena, Paananen, Jussi, Stančáková, Alena, Boomsma, Dorret I, de Geus, J.C.N., Eekhoff, Elisabeth Mw, Fritsche, Andreas, Kramer, Mark H H, Nijpels, Giel, Simonis-Bik, A.M.C., van Haeften, Timon W, Mahajan, Anubha, Boehnke, Michael, Bergman, Richard N, Tuomilehto, Jaakko, Collins, Francis S, Mohlke, Karen L, Banasik, Karina, Groves, Christopher J, McCarthy, Mark I, Pearson, Ewan R, Natali, Andrea, Mari, Andrea, Buchanan, Thomas A, Taylor, Kent D, Xiang, Anny H, Gjesing, Anette P, Grarup, Niels, Eiberg, Hans, Pedersen, Oluf, Chen, Yii-Derr, Laakso, Markku, Norris, Jill M, Smith, Ulf, Wagenknecht, Lynne E, Baier, Leslie, Bowden, Donald W, Hansen, Torben, Walker, Mark, Watanabe, Richard M, 't Hart, Leen M, Hanson, Robert L, and Frayling, Timothy M
- Abstract
Understanding the physiological mechanisms by which common variants predispose to type 2 diabetes requires large studies with detailed measures of insulin secretion and sensitivity. Here we performed the largest genomewide association study of first-phase insulin secretion, as measured by intravenous glucose tolerance tests, using up to 5,567 individuals without diabetes from 10 studies. We aimed to refine the mechanisms of 178 known associations between common variants and glycemic traits and identify new loci. Thirty type 2 diabetes or fasting glucose-raising alleles were associated with a measure of first-phase insulin secretion at P < 0.05 and provided new evidence, or the strongest evidence yet, that insulin secretion, intrinsic to the islet cells, is a key mechanism underlying the associations at the HNF1A, IGF2BP2, KCNQ1, HNF1B, VPS13C/C2CD4A, FAF1, PTPRD, AP3S2, KCNK16, MAEA, LPP, WFS1, and TMPRSS6 loci. The fasting glucose-raising allele near PDX1, a known key insulin transcription factor, was strongly associated with lower first-phase insulin secretion but has no evidence for an effect on type 2 diabetes risk. The diabetes risk allele at TCF7L2 was associated with a stronger effect on peak insulin response than on C-peptide-based insulin secretion rate, suggesting a possible additional role in hepatic insulin clearance or insulin processing. In summary, our study provides further insight into the mechanisms by which common genetic variation influences type 2 diabetes risk and glycemic traits.
- Published
- 2017
- Full Text
- View/download PDF
184. Quantifying compressibility of gene expression data using neural networks
- Author
-
Kristiansen, Karsten, Brunak, Søren, Westergaard, David, Banasik, Karina, Kovacevic, Milos, Kristiansen, Karsten, Brunak, Søren, Westergaard, David, Banasik, Karina, and Kovacevic, Milos
- Published
- 2017
185. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
- Author
-
Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E., Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B., Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E., Jackson, Anne U., Jacobs, Kevin B., Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E., Lahti, Jari, Leach, Irene Mateo, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A. F., Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L., Montasser, May E., Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M., Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W., Renström, Frida, Rizzi, Federica, Rose, Lynda M., Ryan, Kathy A., Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J., Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P., Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L., Wang, Sophie R., Wang, Zhaoming, Wild, Sarah H., Willenborg, Christina, Wilson, James F., Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M., Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A., Bakker, Stephan J. L., Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L., Boyd, Heather A., Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S., Claudi-Boehm, Simone, Cole, John, Collins, Francis S., de Geus, Eco J. C., de Groot, Lisette C. P. G. M., Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G., Friedrich, Nele, Gejman, Pablo V., Gigante, Bruna, Glorioso, Nicola, Go, Alan S., Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C., Hansen, Torben, Harris, Tamara B., Hartman, Catharina A., Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T., Heath, Andrew C., Henders, Anjali K., Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L., Hutri-Kähönen, Nina, Hysi, Pirro G., Illig, Thomas, De Jager, Philip L., Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J. Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J., Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T., Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J., Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K., McArdle, Wendy L., Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W., Morris, Andrew P., Narisu, Narisu, Nelis, Mari, Ong, Ken K., Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G., Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M., Rice, Treva K., Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R., Sarzynski, Mark A., Scholtens, Salome, Scott, Robert A., Scott, William R., Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P. Eline, Smit, Jan H., Sparsø, Thomas H., Stirrups, Kathleen, Stolk, Ronald P., Stringham, Heather M., Swertz, Morris A, Swift, Amy J., Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J., Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M., Waldenberger, Melanie, Walker, Ryan W., Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F., Zillikens, M. Carola, van Dijk, Suzanne C., van Schoor, Natasja M., Asselbergs, Folkert W., de Bakker, Paul I. W., Beckmann, Jacques S., Beilby, John, Bennett, David A., Bergman, Richard N., Bergmann, Sven, Böger, Carsten A., Boehm, Bernhard O., Boerwinkle, Eric, Boomsma, Dorret I., Bornstein, Stefan R., Bottinger, Erwin P., Bouchard, Claude, Chambers, John C., Chanock, Stephen J., Chasman, Daniel I., Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G., Evans, Denis A., de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W., Froguel, Philippe, Gansevoort, Ron T., Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V., Hveem, Kristian, James, Alan L., Jordan, Joanne M., Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A. L. M., Kivimaki, Mika, Knekt, Paul B., Koistinen, Heikki A., Kooner, Jaspal S., Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F., Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D., Moll, Frans L., Murray, Jeffrey C., Musk, Arthur W., Nieminen, Markku S., Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J., Oostra, Ben A., Palmer, Lyle J, Pankow, James S., Pasterkamp, Gerard, Pedersen, Nancy L., Pedersen, Oluf, Penninx, Brenda W., Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P., Psaty, Bruce M., Qi, Lu, Quertermous, Thomas, Raitakari, Olli T., Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M., Rioux, John D., Rivadeneira, Fernando, Rotter, Jerome I., Rudan, Igor, den Ruijter, Hester M., Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E. H., Shuldiner, Alan R., Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I. A., Spector, Tim D., Staessen, Jan A., Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, Verbeek, André L. M., Vermeulen, Sita H., Viikari, Jorma S., Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J., Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J., Cupples, L. Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E., Rao, D. C., Abecasis, Goncalo R., Assimes, Themistocles L., Barroso, Inês, Berndt, Sonja I., Boehnke, Michael, Deloukas, Panos, Fox, Caroline S., Groop, Leif C., Hunter, David J., Ingelsson, Erik, Kaplan, Robert C., McCarthy, Mark I., Mohlke, Karen L., O'Connell, Jeffrey R., Schlessinger, David, Strachan, David P., Stefansson, Kari, van Duijn, Cornelia M., Hirschhorn, Joel N., Lindgren, Cecilia M., Heid, Iris M., North, Kari E., Borecki, Ingrid B., Kutalik, Zoltán, and Loos, Ruth J. F.
- Subjects
ddc - Published
- 2015
186. Evaluation of type 2 diabetes genetic risk variants in Chinese adults:findings from 93,000 individuals from the China Kadoorie Biobank
- Author
-
Gan, Wei, Walters, Robin G, Holmes, Michael V, Bragg, Fiona, Millwood, Iona Y, Banasik, Karina, Chen, Yiping, Du, Huaidong, Iona, Andri, Mahajan, Anubha, Yang, Ling, Bian, Zheng, Guo, Yu, Clarke, Robert J, Li, Liming, McCarthy, Mark I, Chen, Zhengming, Gan, Wei, Walters, Robin G, Holmes, Michael V, Bragg, Fiona, Millwood, Iona Y, Banasik, Karina, Chen, Yiping, Du, Huaidong, Iona, Andri, Mahajan, Anubha, Yang, Ling, Bian, Zheng, Guo, Yu, Clarke, Robert J, Li, Liming, McCarthy, Mark I, and Chen, Zhengming
- Abstract
AIMS/HYPOTHESIS: Genome-wide association studies (GWAS) have discovered many risk variants for type 2 diabetes. However, estimates of the contributions of risk variants to type 2 diabetes predisposition are often based on highly selected case-control samples, and reliable estimates of population-level effect sizes are missing, especially in non-European populations.METHODS: The individual and cumulative effects of 59 established type 2 diabetes risk loci were measured in a population-based China Kadoorie Biobank (CKB) study of 93,000 Chinese adults, including >7,100 diabetes cases.RESULTS: Association signals were directionally consistent between CKB and the original discovery GWAS: of 56 variants passing quality control, 48 showed the same direction of effect (binomial test, p = 2.3 × 10(-8)). We observed a consistent overall trend towards lower risk variant effect sizes in CKB than in case-control samples of GWAS meta-analyses (mean 19-22% decrease in log odds, p ≤ 0.0048), likely to reflect correction of both 'winner's curse' and spectrum bias effects. The association with risk of diabetes of a genetic risk score, based on lead variants at 25 loci considered to act through beta cell function, demonstrated significant interactions with several measures of adiposity (BMI, waist circumference [WC], WHR and percentage body fat [PBF]; all p interaction < 1 × 10(-4)), with a greater effect being observed in leaner adults.CONCLUSIONS/INTERPRETATION: Our study provides further evidence of shared genetic architecture for type 2 diabetes between Europeans and East Asians. It also indicates that even very large GWAS meta-analyses may be vulnerable to substantial inflation of effect size estimates, compared with those observed in large-scale population-based cohort studies.ACCESS TO RESEARCH MATERIALS: Details of how to access China Kadoorie Biobank data and details of the data release schedule are available from www.ckbiobank.org/site/Da
- Published
- 2016
187. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
- Author
-
Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan JL, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco JC, de Groot, Lisette CPGM, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul IW, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus ALM, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter EH, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André LM, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, DC, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth JF, Division of Statistical Genomics, Washington University School of Medicine, Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Metabolic Science, MRC, Brown University, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), King‘s College London, Groningen Bioinformatics Centre, GBB, University of Groningen [Groningen], University of Queensland [Brisbane], National Institut of Food Science and Technology, University of Agriculture, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of neurology, Leiden University Medical Center (LUMC), University of Washington [Seattle], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Limnology, Ecology, Department of Ecology and Evolutionary Biology, University of California, Core Genotyping Facility, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Cancer Epidemiology and Genetics, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Chemical Engineering Taiwan (DCET - NTHU), National Tsing Hua University [Hsinchu] (NTHU), University of Oxford [Oxford], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Department of Medical Sciences, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE Genetics, deCODE genetics [Reykjavik], Interuniversity Cardiology Institute Netherlands, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], Medical Department III, Universität Leipzig [Leipzig], Foie, métabolismes et cancer, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], GNS Science, Blackett Laboratory, Imperial College London, Medstar Research Institute, University of Rochester [USA], MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Dept Biochem & Mol Biol, Pennsylvania State University (Penn State), Penn State System-Penn State System, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Epidemiology, University Medical Centre Groningen, Unit for Molecular Epidemiology, German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Nutrition-Dietetics, Harokopio University of Athens, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Department of Epidemiology and Public Health, University College of London [London] (UCL), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Research Center for Prevention and Health, Glostrup Hospital, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Cambridge Institute of Public Health, University of Cambridge [UK] (CAM), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Queensland Institute of Medical Research, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Head of Medical Sequencing, Department of Biostatistics, University of Washington, Department of Chronic Disease Prevention, Molecular Epidemiology, Department of Genetics, Université Laval [Québec] (ULaval), Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Department of Internal Medicine, Université de Lausanne (UNIL), Carl Gustav Carus University Hospital, Loughborough University, Genomics and Bioinformatics Platform, Fondazione Filarete, Department of Medicine, Surgery, and Dentistry, University of Milano, Medizinische Klinik II, Universität zu Lübeck [Lübeck], Department of Genomic Medicine, University of Manchester [Manchester], The Wellcome Trust Centre for Human Genetics [Oxford], National Institutes of Health [Bethesda] (NIH), Department of Nephrology, University Medical Center, University of Groningen, Helmholtz-Zentrum München (HZM), Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Genetics and Pathology, Department of child and adolescent psychiatry, Universität Duisburg-Essen [Essen], Department of Internal Medicine II, Division of Respirology, University of Regensburg, Regensburg, Germany, Universität Regensburg (UR), Franz-Volhard-Centrum für Klinische Forschung, ECRC, Department of Clinical Physiology, University of Tampere [Finland]-Tampere University Hospital, Finnish Institute of Occupational Health of Helsinki, Department of Clinical Chemistry, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Department of Oncology, University of Tampere Medical School, University of Tampere, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, Department of Medicine, Montreal, Developmental Brain and Behaviour Unit, University of Southampton, Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Centre for Bone and Arthritis Research, Institute of Medicine-University of Gothenburg (GU), Interdisciplinary Center for Psychiatric Epidemiology, Experimental Cardiology Laboratory, University Medical Center [Utrecht], Peter MacCallum Cancer Center, Faculty of Health Sciences, Aarhus University [Aarhus], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Department of Health Services, University of Washington, Group Health Research Institute, Group Health Cooperative, Department of Epidemiology, University of Washington, Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital (TYKS), Erasmus Medical Centre, Cedars-Sinai Medical Center, Department of Pathological Biochemistry, Royal Infirmary, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Institute of Preventive Medicine, Copenhagen University Hospital-Bispebjerg and Frederiksberg Hospitals, Maastricht University [Maastricht], Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Department of Epidemiology & Biostatistics, Radboud University Medical Center [Nijmegen], Institute for Community Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), MRC epidemiology Unit, Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Department of Genetics and Biotechnology, Wellcome Trust, Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Department of Medical Genetics, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), P30 AG010161/AG/NIA NIH HHS/United States, Psychiatry, Epidemiology and Data Science, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Other departments, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, RS: CARIM - R3 - Vascular biology, MUMC+: DA BV AIOS Radiologie (9), Epidemiologie, Orthopedie, Institute for Molecular Medicine Finland, Helsinki Collegium for Advanced Studies, Behavioural Sciences, University of Helsinki, Transplantation Laboratory, Medicum, Research Programs Unit, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Children's Hospital, Lastentautien yksikkö, Marja-Liisa Lokki / Principal Investigator, Kardiologian yksikkö, Leif Groop Research Group, Quantitative Genetics, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Ehret, Georg Benedikt, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universiteit Leiden-Universiteit Leiden, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of California (UC), University of Oxford, Lund University [Lund], Universität Leipzig, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Université de Lausanne = University of Lausanne (UNIL), Universität zu Lübeck = University of Lübeck [Lübeck], Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Gothenburg (GU)-Institute of Medicine, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Luan, Jian'an [0000-0003-3137-6337], Tyrer, Jonathan [0000-0003-3724-4757], Forouhi, Nita [0000-0002-5041-248X], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Johnson, Kathleen [0000-0002-6823-3252], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Biochemistry, Surgery, Internal Medicine, Public Health, Medical Oncology, Pathology, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Clinical Genetics
- Subjects
0301 basic medicine ,Netherlands Twin Register (NTR) ,Male ,Cancer Research ,endocrine system diseases ,Biological pathways ,QH426-470 ,Genome ,Body Mass Index ,Body Size ,Genetics (clinical) ,ddc:616 ,Genetics & Heredity ,Sex Characteristics ,Loci ,MAGIC Consortium ,Mass index ,Age Factors ,Chromosome Mapping ,Middle Aged ,Genealogy ,Self-reported height ,Peripheral-blood ,Scale (social sciences) ,ICBP Consortium ,Female ,Life Sciences & Biomedicine ,Medical Genetics ,Research Article ,arcOGEN Consortium ,musculoskeletal diseases ,Adult ,European Continental Ancestry Group ,Natural menopause ,Aged ,Body Size/genetics ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Polymorphism, Single Nucleotide ,Waist-Hip Ratio ,Biology ,Body size ,DIAGRAM Consortium ,Age and sex ,White People ,Fat distribution ,GLGC Consortium ,03 medical and health sciences ,Life-course ,Genetics ,Weight-gain ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Medicinsk genetik ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,0604 Genetics ,Science & Technology ,nutritional and metabolic diseases ,Correction ,030104 developmental biology ,GWAS meta-analysis ,Global-BPGen Consortium ,Common SNPS ,CHARGE Consortium ,3111 Biomedicine ,Developmental Biology - Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR, Author Summary Adult body size and body shape differ substantially between men and women and change over time. More than 100 genetic variants that influence body mass index (measure of body size) or waist-to-hip ratio (measure of body shape) have been identified. While there is evidence that some genetic loci affect body shape differently in men than in women, little is known about whether genetic effects differ in older compared to younger adults, and whether such changes differ between men and women. Therefore, we conducted a systematic genome-wide search, including 114 studies (>320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.
- Published
- 2014
188. Erratum:Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes (The American Journal of Human Genetics (2013) 93 (1072-1086))
- 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
Erratum - Published
- 2014
189. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape : A Large-Scale Genome-Wide Interaction Study
- Author
-
Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan J L, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco J C, de Groot, Lisette C P G M, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul I W, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A L M, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E H, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I A, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André L M, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, D C, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth J F, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan J L, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco J C, de Groot, Lisette C P G M, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul I W, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A L M, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E H, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I A, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André L M, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, D C, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, and Loos, Ruth J F
- Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
- Published
- 2015
- Full Text
- View/download PDF
190. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape:A Large-Scale Genome-Wide Interaction Study
- Author
-
Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarun Veer Singh, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Banasik, Karina, Grarup, Niels, Hansen, Torben, Jørgensen, Torben, Krarup, Nikolaj T, Linneberg, Allan, Ribel-Madsen, Rasmus, Sparsø, Thomas H, Melbye, Mads, Pedersen, Oluf, Sørensen, Thorkild I A, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarun Veer Singh, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Banasik, Karina, Grarup, Niels, Hansen, Torben, Jørgensen, Torben, Krarup, Nikolaj T, Linneberg, Allan, Ribel-Madsen, Rasmus, Sparsø, Thomas H, Melbye, Mads, Pedersen, Oluf, and Sørensen, Thorkild I A
- Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
- Published
- 2015
191. Correction: The PNPLA3 rs738409 G-Allele Associates with Reduced Fasting Serum Triglyceride and Serum Cholesterol in Danes with Impaired Glucose Regulation
- Author
-
Krarup, Nikolaj Thure, Grarup, Niels, Banasik, Karina, Friedrichsen, Martin, Færch, Kristine, Sandholt, Camilla Helene, Jørgensen, Torben, Poulsen, Pernille, Witte, Daniel Rinse, Vaag, Allan, Sørensen, Thorkild I.A., Pedersen, Oluf, and Hansen, Torben
- Subjects
Multidisciplinary ,Science ,Correction ,Medicine - Published
- 2012
192. Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.
- Author
-
Lohmueller, Kirk E, 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, Pedersen, Oluf, Lohmueller, Kirk E, 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
- 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
193. 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 Hempel, Li, Qibin, Galijatovic, Ehm Astrid Andersson, Korneliussen, Thorfinn Sand, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Oskari Kilpeläinen, Tuomas, Krarup, Nikolaj Thure, Pers, Tune Hannes, Sanchez, Gaston, Hu, Youna, DeGiorgio, Michael, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Brunak, Søren, Kristiansen, Karsten, Li, Yingrui, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, Pedersen, Oluf Borbye, Lohmueller, Kirk E., Sparsø, Thomas Hempel, Li, Qibin, Galijatovic, Ehm Astrid Andersson, Korneliussen, Thorfinn Sand, Albrechtsen, Anders, Banasik, Karina, Grarup, Niels, Hallgrimsdottir, Ingileif, Kiil, Kristoffer, Oskari Kilpeläinen, Tuomas, Krarup, Nikolaj Thure, Pers, Tune Hannes, 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 Borbye
- 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
194. Studies of association of AGPAT6 variants with type 2 diabetes and related metabolic phenotypes in 12,068 Danes
- Author
-
Snogdal, Lena Sønder, Grarup, Niels, Banasik, Karina, Wod, Mette, Jørgensen, Torben, Witte, Daniel R, Lauritzen, Torsten, Nielsen, Aneta Aleksandra, Brandslund, Ivan, Christensen, Cramer, Pedersen, Oluf, Yderstræde, Knud Bonnet, Beck-Nielsen, Henning, Henriksen, Jan Erik, Hansen, Torben, Højlund, Kurt, Snogdal, Lena Sønder, Grarup, Niels, Banasik, Karina, Wod, Mette, Jørgensen, Torben, Witte, Daniel R, Lauritzen, Torsten, Nielsen, Aneta Aleksandra, Brandslund, Ivan, Christensen, Cramer, Pedersen, Oluf, Yderstræde, Knud Bonnet, Beck-Nielsen, Henning, Henriksen, Jan Erik, Hansen, Torben, and Højlund, Kurt
- Abstract
Type 2 diabetes, obesity and insulin resistance are characterized by hypertriglyceridemia and ectopic accumulation of lipids in liver and skeletal muscle. AGPAT6 encodes a novel glycerol-3 phosphate acyltransferase, GPAT4, which catalyzes the first step in the de novo triglyceride synthesis. AGPAT6-deficient mice show lower weight and resistance to diet- and genetically induced obesity. Here, we examined whether common or low-frequency variants in AGPAT6 associate with type 2 diabetes or related metabolic traits in a Danish population.
- Published
- 2013
195. Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
- Author
-
Albrechtsen, Anders, Grarup, Niels, Li, Y., Sparsø, Thomas Hempel, Tian, G., Cao, H., Jiang, T., Kim, S.Y., Korneliussen, Thorfinn Sand, Li, Q., Nie, C., Wu, R., Skotte, Line, Morris, A.P., Ladenvall, C., Cauchi, S., Stancáková, A., Andersen, G., Astrup, Arne, Banasik, Karina, Bennett, A.J., Bolund, Lars, Charpentier, G., Chen, Y., Dekker, J.M., Doney, A.S.F., Dorkhan, M., Forsen, T., Frayling, T.M., Groves, C.J., Gui, Y., Hallmans, G., Hattersley, A.T., He, K., Hitman, G.A., Holmkvist, J., Huang, S., Jiang, H., Jin, X., Justesen, Johanne Marie, Kristiansen, Karsten, Kuusisto, J., Lajer, M., Lantieri, O., Li, W., Liang, H., Liao, Q., Liu, X., Ma, T., Ma, X., Manijak, M.P., Marre, M., Mokrosinski, Jacek, Morris, A.D., Mu, B., Nielsen, A.A., Nijpels, G., Nilsson, P., Palmer, C.N.A., Rayner, N.W., Renström, F., Ribel-Madsen, Rasmus, Robertson, N., Rolandsson, O., Rossing, P., Schwartz, Thue W., Slagboom, P.E., Sterner, M., Tang, M., Tarnow, L., Tuomi, T., Van't Riet, E., van Leeuwen, N., Varga, T.V., Vestmar, Marie Aare, Walker, M., Wang, B., Wang, Y., Wu, H., Xi, F., Yengo, L., Yu, C., Zhang, X., Zhang, J., Zhang, Q., Zhang, W., Zheng, H., Zhou, Y., Altshuler, D., 't Hart, L.M., Franks, P.W., Balkau, B., Froguel, P., McCarthy, M.I., Laakso, M., Groop, L., Christensen, C., Brandslund, I., Lauritzen, T., Witte, D.R., Linneberg, A., Jørgensen, Torben, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, Pedersen, Oluf, Albrechtsen, Anders, Grarup, Niels, Li, Y., Sparsø, Thomas Hempel, Tian, G., Cao, H., Jiang, T., Kim, S.Y., Korneliussen, Thorfinn Sand, Li, Q., Nie, C., Wu, R., Skotte, Line, Morris, A.P., Ladenvall, C., Cauchi, S., Stancáková, A., Andersen, G., Astrup, Arne, Banasik, Karina, Bennett, A.J., Bolund, Lars, Charpentier, G., Chen, Y., Dekker, J.M., Doney, A.S.F., Dorkhan, M., Forsen, T., Frayling, T.M., Groves, C.J., Gui, Y., Hallmans, G., Hattersley, A.T., He, K., Hitman, G.A., Holmkvist, J., Huang, S., Jiang, H., Jin, X., Justesen, Johanne Marie, Kristiansen, Karsten, Kuusisto, J., Lajer, M., Lantieri, O., Li, W., Liang, H., Liao, Q., Liu, X., Ma, T., Ma, X., Manijak, M.P., Marre, M., Mokrosinski, Jacek, Morris, A.D., Mu, B., Nielsen, A.A., Nijpels, G., Nilsson, P., Palmer, C.N.A., Rayner, N.W., Renström, F., Ribel-Madsen, Rasmus, Robertson, N., Rolandsson, O., Rossing, P., Schwartz, Thue W., Slagboom, P.E., Sterner, M., Tang, M., Tarnow, L., Tuomi, T., Van't Riet, E., van Leeuwen, N., Varga, T.V., Vestmar, Marie Aare, Walker, M., Wang, B., Wang, Y., Wu, H., Xi, F., Yengo, L., Yu, C., Zhang, X., Zhang, J., Zhang, Q., Zhang, W., Zheng, H., Zhou, Y., Altshuler, D., 't Hart, L.M., Franks, P.W., Balkau, B., Froguel, P., McCarthy, M.I., Laakso, M., Groop, L., Christensen, C., Brandslund, I., Lauritzen, T., Witte, D.R., Linneberg, A., Jørgensen, Torben, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, and Pedersen, Oluf
- Abstract
AIMS/HYPOTHESIS: Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes. METHODS: The study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p¿1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p¿=¿8.5¿×¿10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p¿=¿1.2¿×¿10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p¿=¿8.2¿×¿10(-10)). CONCLUSIONS/INTERPRETATION: We applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.
- Published
- 2013
196. TFAP2B influences the effect of dietary fat on weight loss under energy restriction
- Author
-
Stocks, Tanja, Ängquist, Lars, Banasik, Karina, Harder, Marie N, Taylor, Moira A, Hager, Jörg, Arner, Peter, Oppert, Jean-Michel, Alfredo Martinez, J, Polak, Jan, Rousseau, Francis, Langin, Dominique, Rössner, Stephan, Holst, Claus, MacDonald, Ian A, Kamatani, Yoichiro, Pfeiffer, Andreas FH, Kunesova, Marie, Saris, Wim HM, Hansen, Torben, Pedersen, Oluf, Astrup, Arne, Sorensen, Thorkild IA, Stocks, Tanja, Ängquist, Lars, Banasik, Karina, Harder, Marie N, Taylor, Moira A, Hager, Jörg, Arner, Peter, Oppert, Jean-Michel, Alfredo Martinez, J, Polak, Jan, Rousseau, Francis, Langin, Dominique, Rössner, Stephan, Holst, Claus, MacDonald, Ian A, Kamatani, Yoichiro, Pfeiffer, Andreas FH, Kunesova, Marie, Saris, Wim HM, Hansen, Torben, Pedersen, Oluf, Astrup, Arne, and Sorensen, Thorkild IA
- Abstract
Background: Numerous gene loci are related to single measures of body weight and shape. We investigated if 55 SNPs previously associated with BMI or waist measures, modify the effects of fat intake on weight loss and waist reduction under energy restriction. Methods and Findings: Randomized controlled trial of 771 obese adults. (Registration: ISRCTN25867281.) One SNP was selected for replication in another weight loss intervention study of 934 obese adults. The original trial was a 10-week 600 kcal/d energy-deficient diet with energy percentage from fat (fat%) in range of 20-25 or 40-45. The replication study used an 8-weeks diet of 880 kcal/d and 20 fat%; change in fat% intake was used for estimation of interaction effects. The main outcomes were intervention weight loss and waist reduction. In the trial, mean change in fat% intake was -12/+4 in the low/high-fat groups. In the replication study, it was -23/-12 among those reducing fat% more/less than the median. TFAP2B-rs987237 genotype AA was associated with 1.0 kg (95% CI, 0.4; 1.6) greater weight loss on the low-fat, and GG genotype with 2.6 kg (1.1; 4.1) greater weight loss on the high-fat (interaction p-value; p=0.00007). The replication study showed a similar (non-significant) interaction pattern. Waist reduction results generally were similar. Study-strengths include (i) the discovery study randomised trial design combined with the replication opportunity (ii) the strict dietary intake control in both studies (iii) the large sample sizes of both studies. Limitations are (i) the low minor allele frequency of the TFAP2B polymorphism, making it hard to investigate non-additive genetic effects (ii) the different interventions preventing identical replication-discovery study designs (iii) some missing data for non-completers and dietary intake. No adverse effects/outcomes or side-effects were observed. Conclusions: Under energy restriction, TFAP2B may modify the effect of dietary fat intake on weight loss and wai
- Published
- 2012
- Full Text
- View/download PDF
197. The PNPLA3 rs738409 G-allele associates with reduced fasting serum triglyceride and serum cholesterol in Danes with impaired glucose regulation
- Author
-
Krarup, Nikolaj Thure, Grarup, Niels, Banasik, Karina, Friedrichsen, Martin, Færch, Kristine, Sandholt, Camilla Helene, Jørgensen, Torben, Poulsen, Pernille, Witte, Daniel Rinse, Vaag, Allan, Sørensen, Thorkild I.A., Pedersen, Oluf, Hansen, Torben, Krarup, Nikolaj Thure, Grarup, Niels, Banasik, Karina, Friedrichsen, Martin, Færch, Kristine, Sandholt, Camilla Helene, Jørgensen, Torben, Poulsen, Pernille, Witte, Daniel Rinse, Vaag, Allan, Sørensen, Thorkild I.A., Pedersen, Oluf, and Hansen, Torben
- Abstract
Non-alcoholic fatty liver disease (NAFLD) is a common condition, associated with hepatic insulin resistance and the metabolic syndrome including hyperglycaemia and dyslipidemia. We aimed at studying the potential impact of the NAFLD-associated PNPLA3 rs738409 G-allele on NAFLD-related metabolic traits in hyperglycaemic individuals.
- Published
- 2012
198. The effect of FOXA2 rs1209523 on glucose-related phenotypes and risk of type 2 diabetes in Danish individuals
- Author
-
Banasik, Karina, Hollensted, Mette, Andersson, Ehm, Sparsø, Thomas, Sandbaek, Annelli, Lauritzen, Torsten, Jørgensen, Torben, Witte, Daniel R, Pedersen, Oluf, Hansen, Torben, Banasik, Karina, Hollensted, Mette, Andersson, Ehm, Sparsø, Thomas, Sandbaek, Annelli, Lauritzen, Torsten, Jørgensen, Torben, Witte, Daniel R, Pedersen, Oluf, and Hansen, Torben
- Abstract
Variations within the FOXA family have been studied for a putative contribution to the risk of type 2 diabetes (T2D), and recently the minor T-allele of FOXA2 rs1209523 was reported to associate with decreased fasting plasma glucose levels in a study using a weighted false discovery rate control procedure to enhance the statistical power of genome wide association studies in detecting associations between low-frequency variants and a given trait.Thus, the primary aim of this study was to investigate whether the minor T-allele of rs1205923 in FOXA2 associated with 1) decreased fasting plasma glucose and 2) a lower risk of developing T2D. Secondly, we investigated whether rs1205923 in FOXA2 associated with other glucose-related phenotypes.
- Published
- 2012
199. Studies of genetic obesity susceptibility variants in obese children and adolescents and the effect of FOXA2 rs1209523 on glucose-related traits and risk of type 2 diabetes
- Author
-
J�rgensen, Claus B�ttcher, Pedersen, Oluf, Hansen, Torben, Banasik, Karina, Bille, Dorthe Sadowa, Hollensted, Mette, J�rgensen, Claus B�ttcher, Pedersen, Oluf, Hansen, Torben, Banasik, Karina, Bille, Dorthe Sadowa, and Hollensted, Mette
- Abstract
Prævalensen af de to komplekse metaboliske sygdomme, fedme og type 2 diabetes (T2D), er stigende over hele verden, både blandt børn og voksne. På grund af følgesygdomme og risikoen for tidlig død er både fedme og T2D anerkendt som alvorlige helbredsmæssige problemer. Tvillinge- og familie studier har antydet en genetisk komponent i ætiologien af begge sygdomme, og til dato er flere genvarianter som øger modtageligheden for fedme og T2D blevet identificerede. I mange tilfælde er mekanismen hvorved disse genvarianter øger modtageligheden for fedme og T2D dog endnu uvis, og en dybere forståelse af patogenesen er derfor nødvendig for at opnå en effektiv forebyggelse samt behandling af fedme og T2D. Det overordnede formål med denne specialerapport var derfor at undersøge, hvorledes udvalgte genvarianter påvirker udviklingen af fedme og T2D. Effekten af visse fedmeassocierede genvarianter er aldersbetinget, men studier af effekten af livsstilsinterventioner i relation til genotype har hidtil primært fokuseret på voksne individer. Formålet med det første studie var derfor at undersøge hvorledes udvalgte sjældne og hyppige fedmeassocierede genvarianter påvirker fedmerelaterede fænotyper ved baseline blandt fede børn og unge, der deltager i en livsstilsintervention. Seks varianter lokaliseret i eller nær fedmeassocierede gener (FTO, MC4R, MUC15, MAF, TMEM18 og TNKS/MSRA) viste signifikant association med fedmerelaterede fænotyper, dog uden justering for multiple tests. Disse fund indikerer, at de seks gener kan påvirke udviklingen af fedmerelaterede fænotyper. I dette studie blev der hverken identificeret signifikante gen-gen interaktioner eller kumulative effekter blandt de udvalgte genvarianter. Transskriptionsfaktoren forkhead box A2 (FOXA2) er nødvendig for korrekt insulin sekretion, og FOXA2 rs1209523 er tidligere blevet associeret med mindsket risiko for T2D blandt normalvægtige individer samt med et reduceret niveau af faste, The prevalence of the two complex metabolic disorders, obesity and type 2 diabetes (T2D), is increasing throughout the world, both among adults and children. Due to co-morbidities and risk of premature death, both obesity and T2D are recognized as major health problems. Twin- and family studies have suggested a genetic component in the etiology of both disorders and to date, several genetic variants conferring susceptibility to obesity and T2D have been identified. In many cases, however, the mechanisms by which variation within these genes confer susceptibility to obesity or T2D remain unknown. Thus, a deeper understanding of the pathogenesis is warranted if an effective prevention and treatment of obesity and T2D is to be achieved. Therefore, the overall aim of the present thesis was to investigate the influence of selected genetic variants on the development of obesity and T2D. The influence of certain obesity associated variants is age-dependent; however, studies on the effects of lifestyle intervention programs in relation to genotype have so far mainly focused on adults. Therefore, the first study aimed to investigate the effects of selected rare and common obesity associated variants on obesity-related phenotypes at baseline in obese children and adolescents participating in a lifestyle intervention program. Without correcting for multiple testing, a total of six variants in or near selected obesity associated genes (FTO, MC4R, MUC15, MAF, TMEM18, and TNKS/MSRA) were significantly associated with obesity-related phenotypes, indicating a potential role of these genes in the development of metabolic phenotypes. No statistically significant gene-gene interactions or cumulative effects of the examined variants were identified. The transcription factor Forkhead box A2 (FOXA2) is required for proper insulin secretion, and FOXA2 rs1209523 has previously been associated with a decreased T2D risk among normal weight individu
- Published
- 2011
200. A germline variant in the TP53 polyadenylation signal confers cancer susceptibility.
- Author
-
Stacey, Simon N, Sulem, Patrick, Jonasdottir, Aslaug, Masson, Gisli, Gudmundsson, Julius, Gudbjartsson, Daniel F, Magnusson, Olafur T, Gudjonsson, Sigurjon A, Sigurgeirsson, Bardur, Thorisdottir, Kristin, Ragnarsson, Rafn, Benediktsdottir, Kristrun R, Nexø, Bjørn A, Tjønneland, Anne, Overvad, Kim, Rudnai, Peter, Gurzau, Eugene, Koppova, Kvetoslava, Hemminki, Kari, Corredera, Cristina, Fuentelsaz, Victoria, Grasa, Pilar, Navarrete, Sebastian, Fuertes, Fernando, García-Prats, Maria D, Sanambrosio, Enrique, Panadero, Angeles, De Juan, Ana, Garcia, Almudena, Rivera, Fernando, Planelles, Dolores, Soriano, Virtudes, Requena, Celia, Aben, Katja K, van Rossum, Michelle M, Cremers, Ruben G H M, van Oort, Inge M, van Spronsen, Dick-Johan, Schalken, Jack A, Peters, Wilbert H M, Helfand, Brian T, Donovan, Jenny L, Hamdy, Freddie C, Badescu, Daniel, Codreanu, Ovidiu, Jinga, Mariana, Csiki, Irma E, Constantinescu, Vali, Badea, Paula, Mates, Ioan N, Dinu, Daniela E, Constantin, Adrian, Mates, Dana, Kristjansdottir, Sjofn, Agnarsson, Bjarni A, Jonsson, Eirikur, Barkardottir, Rosa B, Einarsson, Gudmundur V, Sigurdsson, Fridbjorn, Moller, Pall H, Stefansson, Tryggvi, Valdimarsson, Trausti, Johannsson, Oskar T, Sigurdsson, Helgi, Jonsson, Thorvaldur, Jonasson, Jon G, Tryggvadottir, Laufey, Rice, Terri, Hansen, Helen M, Xiao, Yuanyuan, Lachance, Daniel H, O Neill, Brian Patrick, Kosel, Matthew L, Decker, Paul A, Thorleifsson, Gudmar, Johannsdottir, Hrefna, Helgadottir, Hafdis T, Sigurdsson, Asgeir, Steinthorsdottir, Valgerdur, Lindblom, Annika, Sandler, Robert S, Keku, Temitope O, Banasik, Karina, Jørgensen, Torben, Witte, Daniel R, Hansen, Torben, Pedersen, Oluf, Jinga, Viorel, Neal, David E, Catalona, William J, Wrensch, Margaret, Wiencke, John, Jenkins, Robert B, Nagore, Eduardo, Vogel, Ulla, Kiemeney, Lambertus A, Kumar, Rajiv, Mayordomo, José I, Olafsson, Jon H, Kong, Augustine, Thorsteinsdottir, Unnur, Rafnar, Thorunn, Stefansson, Kari, Smedh, Kenneth, Stacey, Simon N, Sulem, Patrick, Jonasdottir, Aslaug, Masson, Gisli, Gudmundsson, Julius, Gudbjartsson, Daniel F, Magnusson, Olafur T, Gudjonsson, Sigurjon A, Sigurgeirsson, Bardur, Thorisdottir, Kristin, Ragnarsson, Rafn, Benediktsdottir, Kristrun R, Nexø, Bjørn A, Tjønneland, Anne, Overvad, Kim, Rudnai, Peter, Gurzau, Eugene, Koppova, Kvetoslava, Hemminki, Kari, Corredera, Cristina, Fuentelsaz, Victoria, Grasa, Pilar, Navarrete, Sebastian, Fuertes, Fernando, García-Prats, Maria D, Sanambrosio, Enrique, Panadero, Angeles, De Juan, Ana, Garcia, Almudena, Rivera, Fernando, Planelles, Dolores, Soriano, Virtudes, Requena, Celia, Aben, Katja K, van Rossum, Michelle M, Cremers, Ruben G H M, van Oort, Inge M, van Spronsen, Dick-Johan, Schalken, Jack A, Peters, Wilbert H M, Helfand, Brian T, Donovan, Jenny L, Hamdy, Freddie C, Badescu, Daniel, Codreanu, Ovidiu, Jinga, Mariana, Csiki, Irma E, Constantinescu, Vali, Badea, Paula, Mates, Ioan N, Dinu, Daniela E, Constantin, Adrian, Mates, Dana, Kristjansdottir, Sjofn, Agnarsson, Bjarni A, Jonsson, Eirikur, Barkardottir, Rosa B, Einarsson, Gudmundur V, Sigurdsson, Fridbjorn, Moller, Pall H, Stefansson, Tryggvi, Valdimarsson, Trausti, Johannsson, Oskar T, Sigurdsson, Helgi, Jonsson, Thorvaldur, Jonasson, Jon G, Tryggvadottir, Laufey, Rice, Terri, Hansen, Helen M, Xiao, Yuanyuan, Lachance, Daniel H, O Neill, Brian Patrick, Kosel, Matthew L, Decker, Paul A, Thorleifsson, Gudmar, Johannsdottir, Hrefna, Helgadottir, Hafdis T, Sigurdsson, Asgeir, Steinthorsdottir, Valgerdur, Lindblom, Annika, Sandler, Robert S, Keku, Temitope O, Banasik, Karina, Jørgensen, Torben, Witte, Daniel R, Hansen, Torben, Pedersen, Oluf, Jinga, Viorel, Neal, David E, Catalona, William J, Wrensch, Margaret, Wiencke, John, Jenkins, Robert B, Nagore, Eduardo, Vogel, Ulla, Kiemeney, Lambertus A, Kumar, Rajiv, Mayordomo, José I, Olafsson, Jon H, Kong, Augustine, Thorsteinsdottir, Unnur, Rafnar, Thorunn, Stefansson, Kari, and Smedh, Kenneth
- Abstract
To identify new risk variants for cutaneous basal cell carcinoma, we performed a genome-wide association study of 16 million SNPs identified through whole-genome sequencing of 457 Icelanders. We imputed genotypes for 41,675 Illumina SNP chip-typed Icelanders and their relatives. In the discovery phase, the strongest signal came from rs78378222[C] (odds ratio (OR) = 2.36, P = 5.2 × 10(-17)), which has a frequency of 0.0192 in the Icelandic population. We then confirmed this association in non-Icelandic samples (OR = 1.75, P = 0.0060; overall OR = 2.16, P = 2.2 × 10(-20)). rs78378222 is in the 3' untranslated region of TP53 and changes the AATAAA polyadenylation signal to AATACA, resulting in impaired 3'-end processing of TP53 mRNA. Investigation of other tumor types identified associations of this SNP with prostate cancer (OR = 1.44, P = 2.4 × 10(-6)), glioma (OR = 2.35, P = 1.0 × 10(-5)) and colorectal adenoma (OR = 1.39, P = 1.6 × 10(-4)). However, we observed no effect for breast cancer, a common Li-Fraumeni syndrome tumor (OR = 1.06, P = 0.57, 95% confidence interval 0.88-1.27).
- Published
- 2011
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.