美國(guó)和歐洲研究人員在新一期《自然—遺傳學(xué)》（Nature Genetics）雜志上報(bào)告說(shuō),，他們又發(fā)現(xiàn)有6種基因會(huì)增加人們罹患Ⅱ型糖尿病的風(fēng)險(xiǎn)。這使迄今發(fā)現(xiàn)的糖尿病基因數(shù)量增加到16種,。
來(lái)自美國(guó)和歐洲40多個(gè)研究中心的研究人員對(duì)7萬(wàn)多人的基因數(shù)據(jù)進(jìn)行分析后獲得了上述發(fā)現(xiàn),。研究人員說(shuō)，這6種此前未知的基因中的任何一種都會(huì)略微增加人們罹患糖尿病的風(fēng)險(xiǎn),，而不幸擁有全部6種基因的人罹患糖尿病的幾率比一般人高2倍到3倍。
研究項(xiàng)目負(fù)責(zé)人之一,、英國(guó)牛津大學(xué)的馬克·麥卡錫說(shuō),，此前在糖尿病研究人員的“雷達(dá)屏”上從未出現(xiàn)這6種基因中的任何一種，發(fā)現(xiàn)它們將可能為了解糖尿病的形成過(guò)程提供新線索,，為開(kāi)發(fā)防治這種慢性疾病的新方法帶來(lái)機(jī)會(huì),。
據(jù)世界衛(wèi)生組織估計(jì)，全世界有1.8億多名糖尿病患者,，這一數(shù)字到2030年可能會(huì)翻番,。盡管全球糖尿病患者越來(lái)越多，但人們對(duì)引發(fā)這一疾病的根本原因知之甚少,，防治這一疾病因此障礙重重,。（來(lái)源：新華網(wǎng)）
生物谷推薦原始出處：
（Nature Genetics），doi:10.1038/ng.120,，Eleftheria Zeggini, Mark I McCarthy, Michael Boehnke & David Altshuler
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
Eleftheria Zeggini1,10, Laura J Scott2,10, Richa Saxena3,4,5,6,7,8,10, Benjamin F Voight3,4,5,7,10, Jonathan L Marchini11, Tianle Hu2, Paul IW de Bakker3,7,12, Gonçalo R Abecasis2, Peter Almgren13, Gitte Andersen14, Kristin Ardlie3, Kristina Bengtsson Boström15, Richard N Bergman16, Lori L Bonnycastle17, Knut Borch-Johnsen14,18, Noël P Burtt3, Hong Chen19, Peter S Chines17, Mark J Daly3,4,5,7, Parimal Deodhar17, Chia-Jen Ding2, Alex S F Doney20, William L Duren2, Katherine S Elliott1, Michael R Erdos17, Timothy M Frayling21,22, Rachel M Freathy21,22, Lauren Gianniny3, Harald Grallert23, Niels Grarup14, Christopher J Groves24, Candace Guiducci3, Torben Hansen14, Christian Herder25, Graham A Hitman26, Thomas E Hughes19, Bo Isomaa27,28, Anne U Jackson2, Torben Jørgensen29, Augustine Kong30, Kari Kubalanza17, Finny G Kuruvilla3,4,6, Johanna Kuusisto31, Claudia Langenberg32, Hana Lango21,22, Torsten Lauritzen33, Yun Li2, Cecilia M Lindgren1,24, Valeriya Lyssenko13, Amanda F Marvelle34, Christa Meisinger23, Kristian Midthjell35, Karen L Mohlke34, Mario A Morken17, Andrew D Morris20, Narisu Narisu17, Peter Nilsson13, Katharine R Owen24, Colin NA Palmer36, Felicity Payne37, John R B Perry21,22, Elin Pettersen38, Carl Platou35, Inga Prokopenko1,24, Lu Qi39,40, Li Qin34, Nigel W Rayner1,24, Matthew Rees17, Jeffrey J Roix19, Anelli Sandbæk18, Beverley Shields22, Marketa Sjögren13, Valgerdur Steinthorsdottir30, Heather M Stringham2, Amy J Swift17, Gudmar Thorleifsson30, Unnur Thorsteinsdottir30, Nicholas J Timpson1,41, Tiinamaija Tuomi28,42, Jaakko Tuomilehto43,44,45, Mark Walker46, Richard M Watanabe47, Michael N Weedon21,22, Cristen J Willer2, Wellcome Trust Case Control Consortium, Thomas Illig23, Kristian Hveem35, Frank B Hu39,40, Markku Laakso31, Kari Stefansson30, Oluf Pedersen14,18, Nicholas J Wareham32, Inês Barroso37, Andrew T Hattersley21,22, Francis S Collins17, Leif Groop13,42, Mark I McCarthy1,24,50, Michael Boehnke2,50 & David Altshuler3,4,6,7,8,48,50
Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D)1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 10-14), CDC123-CAMK1D (P = 1.2 10-10), TSPAN8-LGR5 (P = 1.1 10-9), THADA (P = 1.1 10-9), ADAMTS9 (P = 1.2 10-8) and NOTCH2 (P = 4.1 10-8) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.
Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02142, USA.
Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
