Literature DB >> 21436302

Genome-wide association studies and type 2 diabetes.

Eleanor Wheeler1, Inês Barroso.   

Abstract

In recent years, the search for genetic determinants of type 2 diabetes (T2D) has changed dramatically. Although linkage and small-scale candidate gene studies were highly successful in the identification of genes, which, when mutated, caused monogenic forms of T2D, they were largely unsuccessful when applied to the more common forms of the disease. To date, these approaches have only identified two loci (PPARG, KCNJ11) robustly implicated in T2D susceptibility. The ability to perform large-scale association analysis, including genome-wide association studies (GWAS) in many thousands of samples from different populations, and subsequently, the shift to form large international collaborations to perform meta-analyses across many studies has taken the number of independent loci showing genome-wide significant associations with T2D to 44. This number includes six loci identified initially through the analysis of quantitative glycaemic phenotypes, illustrating the usefulness of this approach both to identify new disease genes and gain insight into the mechanisms leading to disease. Combined, these loci still only account for ∼10% of the observed familial clustering in Europeans, leaving much of the variance unexplained. In this review, we will describe what GWAS have taught us about the genetic basis of T2D and discuss possible next steps to uncover the remaining heritability.

Entities:  

Mesh:

Year:  2011        PMID: 21436302     DOI: 10.1093/bfgp/elr008

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  44 in total

1.  Association of Transforming Growth Factor Beta-1 (TGF-β1) Genetic Variation with Type 2 Diabetes and End Stage Renal Disease in Two Large Population Samples from North India.

Authors:  Priyanka Raina; Ruhi Sikka; Ramandeep Kaur; Jasmine Sokhi; Kawaljit Matharoo; Virinder Singh; A J S Bhanwer
Journal:  OMICS       Date:  2015-04-14

Review 2.  What is personalized medicine and what should it replace?

Authors:  David C Whitcomb
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-05-22       Impact factor: 46.802

3.  Perspectives in Polycystic Ovary Syndrome: From Hair to Eternity.

Authors:  Andrea Dunaif
Journal:  J Clin Endocrinol Metab       Date:  2016-02-23       Impact factor: 5.958

4.  Association of a common genetic variant within ANKK1 with six-month cognitive performance after traumatic brain injury.

Authors:  John K Yue; Angela M Pronger; Adam R Ferguson; Nancy R Temkin; Sourabh Sharma; Jonathan Rosand; Marco D Sorani; Thomas W McAllister; Jason Barber; Ethan A Winkler; Esteban G Burchard; Donglei Hu; Hester F Lingsma; Shelly R Cooper; Ava M Puccio; David O Okonkwo; Ramon Diaz-Arrastia; Geoffrey T Manley
Journal:  Neurogenetics       Date:  2015-01-30       Impact factor: 2.660

5.  Association of gene variants with susceptibility to type 2 diabetes among Omanis.

Authors:  Sawsan Al-Sinani; Nicolas Woodhouse; Ali Al-Mamari; Omaima Al-Shafie; Mohammed Al-Shafaee; Said Al-Yahyaee; Mohammed Hassan; Deepali Jaju; Khamis Al-Hashmi; Mohammed Al-Abri; Khalid Al-Rassadi; Syed Rizvi; Yengo Loic; Philippe Froguel; Riad Bayoumi
Journal:  World J Diabetes       Date:  2015-03-15

6.  Association of ANK1 variants with new-onset type 2 diabetes in a Han Chinese population from northeast China.

Authors:  Lulu Sun; Xuelong Zhang; Tongtong Wang; Meijun Chen; Hong Qiao
Journal:  Exp Ther Med       Date:  2017-08-02       Impact factor: 2.447

Review 7.  Air pollution as a risk factor for type 2 diabetes.

Authors:  Xiaoquan Rao; Priti Patel; Robin Puett; Sanjay Rajagopalan
Journal:  Toxicol Sci       Date:  2015-02       Impact factor: 4.849

Review 8.  Genetic and environmental factors associated with type 2 diabetes and diabetic vascular complications.

Authors:  Mariana Murea; Lijun Ma; Barry I Freedman
Journal:  Rev Diabet Stud       Date:  2012-05-10

Review 9.  Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.

Authors:  Zhuo Fu; Elizabeth R Gilbert; Dongmin Liu
Journal:  Curr Diabetes Rev       Date:  2013-01-01

10.  Patients with celiac disease have a lower prevalence of non-insulin-dependent diabetes mellitus and metabolic syndrome.

Authors:  Toufic A Kabbani; Ciaran P Kelly; Rebecca A Betensky; Joshua Hansen; Kumar Pallav; Javier A Villafuerte-Gálvez; Rohini Vanga; Rupa Mukherjee; Aileen Novero; Melinda Dennis; Daniel A Leffler
Journal:  Gastroenterology       Date:  2013-01-24       Impact factor: 22.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.