Literature DB >> 19214469

Prediction of type 2 diabetes: the dawn of polygenetic testing for complex disease.

J B Meigs1.   

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Year:  2009        PMID: 19214469     DOI: 10.1007/s00125-009-1296-9

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


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  14 in total

Review 1.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges.

Authors:  Mark I McCarthy; Gonçalo R Abecasis; Lon R Cardon; David B Goldstein; Julian Little; John P A Ioannidis; Joel N Hirschhorn
Journal:  Nat Rev Genet       Date:  2008-05       Impact factor: 53.242

2.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

3.  TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program.

Authors:  Jose C Florez; Kathleen A Jablonski; Nick Bayley; Toni I Pollin; Paul I W de Bakker; Alan R Shuldiner; William C Knowler; David M Nathan; David Altshuler
Journal:  N Engl J Med       Date:  2006-07-20       Impact factor: 91.245

Review 4.  Genetic mapping in human disease.

Authors:  David Altshuler; Mark J Daly; Eric S Lander
Journal:  Science       Date:  2008-11-07       Impact factor: 47.728

5.  Risk prediction of prevalent diabetes in a Swiss population using a weighted genetic score--the CoLaus Study.

Authors:  X Lin; K Song; N Lim; X Yuan; T Johnson; A Abderrahmani; P Vollenweider; H Stirnadel; S S Sundseth; E Lai; D K Burns; L T Middleton; A D Roses; P M Matthews; G Waeber; L Cardon; D M Waterworth; V Mooser
Journal:  Diabetologia       Date:  2009-01-13       Impact factor: 10.122

6.  Clinical risk factors, DNA variants, and the development of type 2 diabetes.

Authors:  Valeriya Lyssenko; Anna Jonsson; Peter Almgren; Nicoló Pulizzi; Bo Isomaa; Tiinamaija Tuomi; Göran Berglund; David Altshuler; Peter Nilsson; Leif Groop
Journal:  N Engl J Med       Date:  2008-11-20       Impact factor: 91.245

7.  Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.

Authors:  Hana Lango; Colin N A Palmer; Andrew D Morris; Eleftheria Zeggini; Andrew T Hattersley; Mark I McCarthy; Timothy M Frayling; Michael N Weedon
Journal:  Diabetes       Date:  2008-06-30       Impact factor: 9.461

8.  Combining information from common type 2 diabetes risk polymorphisms improves disease prediction.

Authors:  Michael N Weedon; Mark I McCarthy; Graham Hitman; Mark Walker; Christopher J Groves; Eleftheria Zeggini; N William Rayner; Beverley Shields; Katharine R Owen; Andrew T Hattersley; Timothy M Frayling
Journal:  PLoS Med       Date:  2006-10       Impact factor: 11.069

9.  Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study.

Authors:  Mandy van Hoek; Abbas Dehghan; Jacqueline C M Witteman; Cornelia M van Duijn; André G Uitterlinden; Ben A Oostra; Albert Hofman; Eric J G Sijbrands; A Cecile J W Janssens
Journal:  Diabetes       Date:  2008-08-11       Impact factor: 9.461

10.  Learning from molecular genetics: novel insights arising from the definition of genes for monogenic and type 2 diabetes.

Authors:  Mark I McCarthy; Andrew T Hattersley
Journal:  Diabetes       Date:  2008-11       Impact factor: 9.461

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  4 in total

1.  Anticipating the arrival of low-penetrance genetic testing to primary care medicine.

Authors:  Beth A Tarini; Nicole Exe; Brian J Zikmund-Fisher
Journal:  J Community Genet       Date:  2013-02-12

Review 2.  Insulin signaling regulating genes: effect on T2DM and cardiovascular risk.

Authors:  Sabrina Prudente; Eleonora Morini; Vincenzo Trischitta
Journal:  Nat Rev Endocrinol       Date:  2009-12       Impact factor: 43.330

3.  Predictive genetic testing for the identification of high-risk groups: a simulation study on the impact of predictive ability.

Authors:  Raluca Mihaescu; Ramal Moonesinghe; Muin J Khoury; A Cecile Jw Janssens
Journal:  Genome Med       Date:  2011-07-28       Impact factor: 11.117

4.  Structural Properties of Gene Promoters Highlight More than Two Phenotypes of Diabetes.

Authors:  Constantin Ionescu-Tîrgovişte; Paul Aurelian Gagniuc; Cristian Guja
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

  4 in total

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