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Bengt Sennblad

Bio: Bengt Sennblad is an academic researcher from Science for Life Laboratory. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 40, co-authored 79 publications receiving 10488 citations. Previous affiliations of Bengt Sennblad include Stockholm University & Karolinska University Hospital.


Papers
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Journal ArticleDOI
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
Abstract: To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.

1,899 citations

Journal ArticleDOI
Anubha Mahajan1, Min Jin Go, Weihua Zhang2, Jennifer E. Below3  +392 moreInstitutions (104)
TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.
Abstract: To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

954 citations

Journal ArticleDOI
Daniel I. Swerdlow1, Michael V. Holmes1, Karoline Kuchenbaecker2, Engmann Jel.1, Tina Shah1, Reecha Sofat1, Yiran Guo, C Chung1, Anne Peasey1, Roman Pfister3, Simon P. Mooijaart4, Helen Ireland1, Maarten Leusink5, Claudia Langenberg3, KaWah Li1, Jutta Palmen1, Phil Howard1, Jackie A. Cooper1, Fotios Drenos1, John Hardy1, Mike A. Nalls6, Yun Li7, Gordon D.O. Lowe8, Marlene C. W. Stewart9, S. J. Bielinski10, Julian Peto11, Nicholas J. Timpson12, John Gallacher13, Malcolm G. Dunlop9, Richard S. Houlston, Ian Tomlinson14, Ioanna Tzoulaki15, Jian'an Luan2, Boer Jma.2, Nita G. Forouhi2, N. C. Onland-Moret5, Y. T. van der Schouw16, Renate B. Schnabel16, Jaroslav A. Hubacek, Růžena Kubínová, Migle Baceviciene17, Abdonas Tamosiunas17, Andrzej Pajak18, Roman Topor-Madry18, Sofia Malyutina19, Damiano Baldassarre, Bengt Sennblad20, Elena Tremoli, U de Faire21, Luigi Ferrucci21, S Bandenelli, Tetsu Tanaka21, James F. Meschia10, AB Singleton6, Gerjan Navis22, I. Mateo Leach22, Bakker Sjl.22, Ron T. Gansevoort, Ian Ford8, Stephen E. Epstein23, Mary-Susan Burnett23, Joe Devaney23, Johan Wouter Jukema4, Westendorp Rgj.5, G Jan de Borst5, Y. van der Graaf5, P A de Jong5, Mailand-van der Zee A-H.5, Olaf H. Klungel5, A. de Boer5, P. A. Doevendans5, Jeffrey W. Stephens24, Charles B. Eaton25, Jennifer G. Robinson26, JoAnn E. Manson27, F G Fowkes28, Timothy M. Frayling28, Jenna Price9, Peter H. Whincup11, Richard W Morris1, Debbie A Lawlor12, George Davey Smith12, Yoav Ben-Shlomo12, Susan Redline27, Leslie A. Lange29, Meena Kumari1, Nicholas J. Wareham2, Verschuren Wmm.30, Emelia J. Benjamin30, John C. Whittaker11, Anders Hamsten20, Frank Dudbridge11, Delaney Jac.31, Andrew Wong31, Diana Kuh31, Rebecca Hardy31, Berta Almoguera Castillo7, John Connolly7, P. van der Harst, Eric J. Brunner1, Michael Marmot1, Christina L. Wassel32, Steve E. Humphries1, P.J. Talmud1, Mika Kivimäki1, Folkert W. Asselbergs5, Mikhail I. Voevoda19, Martin Bobak1, Hynek Pikhart1, James G. Wilson33, Hakon Hakonarson7, Alexander P. Reiner34, Brendan J. Keating7, Naveed Sattar8, Aroon D. Hingorani1, Juan P. Casas11 
TL;DR: IL6R blockade could provide a novel therapeutic approach to prevention of coronary heart disease that warrants testing in suitably powered randomised trials and could help to validate and prioritise novel drug targets or to repurpose existing agents and targets for new therapeutic uses.

891 citations

Journal ArticleDOI
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
Abstract: Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.

811 citations

Journal ArticleDOI
Robert A. Scott, Vasiliki Lagou1, Ryan P. Welch2, Eleanor Wheeler3  +213 moreInstitutions (67)
TL;DR: Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations and further functional analysis of these newly discovered loci will further improve the understanding of glycemic control.
Abstract: Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

753 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Journal ArticleDOI
TL;DR: A revised and updated classification for the families of the flowering plants is provided in this paper, which includes Austrobaileyales, Canellales, Gunnerales, Crossosomatales and Celastrales.

7,299 citations

Journal ArticleDOI
TL;DR: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee.
Abstract: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Benjamin, MD, ScM, FAHA, Chair Paul Muntner, PhD, MHS, FAHA, Vice Chair Alvaro Alonso, MD, PhD, FAHA Marcio S. Bittencourt, MD, PhD, MPH Clifton W. Callaway, MD, FAHA April P. Carson, PhD, MSPH, FAHA Alanna M. Chamberlain, PhD Alexander R. Chang, MD, MS Susan Cheng, MD, MMSc, MPH, FAHA Sandeep R. Das, MD, MPH, MBA, FAHA Francesca N. Delling, MD, MPH Luc Djousse, MD, ScD, MPH Mitchell S.V. Elkind, MD, MS, FAHA Jane F. Ferguson, PhD, FAHA Myriam Fornage, PhD, FAHA Lori Chaffin Jordan, MD, PhD, FAHA Sadiya S. Khan, MD, MSc Brett M. Kissela, MD, MS Kristen L. Knutson, PhD Tak W. Kwan, MD, FAHA Daniel T. Lackland, DrPH, FAHA Tené T. Lewis, PhD Judith H. Lichtman, PhD, MPH, FAHA Chris T. Longenecker, MD Matthew Shane Loop, PhD Pamela L. Lutsey, PhD, MPH, FAHA Seth S. Martin, MD, MHS, FAHA Kunihiro Matsushita, MD, PhD, FAHA Andrew E. Moran, MD, MPH, FAHA Michael E. Mussolino, PhD, FAHA Martin O’Flaherty, MD, MSc, PhD Ambarish Pandey, MD, MSCS Amanda M. Perak, MD, MS Wayne D. Rosamond, PhD, MS, FAHA Gregory A. Roth, MD, MPH, FAHA Uchechukwu K.A. Sampson, MD, MBA, MPH, FAHA Gary M. Satou, MD, FAHA Emily B. Schroeder, MD, PhD, FAHA Svati H. Shah, MD, MHS, FAHA Nicole L. Spartano, PhD Andrew Stokes, PhD David L. Tirschwell, MD, MS, MSc, FAHA Connie W. Tsao, MD, MPH, Vice Chair Elect Mintu P. Turakhia, MD, MAS, FAHA Lisa B. VanWagner, MD, MSc, FAST John T. Wilkins, MD, MS, FAHA Sally S. Wong, PhD, RD, CDN, FAHA Salim S. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee

5,739 citations

Journal ArticleDOI
TL;DR: Antiinflammatory therapy targeting the interleukin‐1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid‐level lowering.
Abstract: BackgroundExperimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. MethodsWe conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. ResultsAt 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in t...

5,660 citations

Journal ArticleDOI
TL;DR: The Statistical Update represents the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA's My Life Check - Life’s Simple 7, which include core health behaviors and health factors that contribute to cardiovascular health.
Abstract: Each chapter listed in the Table of Contents (see next page) is a hyperlink to that chapter. The reader clicks the chapter name to access that chapter. Each chapter listed here is a hyperlink. Click on the chapter name to be taken to that chapter. Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together in a single document the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA’s My Life Check - Life’s Simple 7 (Figure1), which include core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure [BP], and glucose control) that contribute to cardiovascular health. The Statistical Update represents …

5,102 citations