Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling-Reference-Cited by-同舟云学术

Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling

Published:2016-10 Issue:10 Volume:5 Page:918-925
ISSN:2212-8778
Container-title:Molecular Metabolism
language:en
Short-container-title:Molecular Metabolism

Author:

Yengo Loic^ORCID,Arredouani Abdelilah,Marre Michel,Roussel Ronan,Vaxillaire Martine,Falchi Mario,Haoudi Abdelali,Tichet Jean,Balkau Beverley,Bonnefond Amélie,Froguel Philippe

Funder

Qatar Foundation

Centre National de la Recherche Scientifique (CNRS)

CNAMTS

Lilly

Novartis Pharma

Sanofi-aventis

Inserm

Association Diabète Risque Vasculaire

Fédération Française de Cardiologie

La Fondation de France

ALFEDIAM

ONIVINS

Société Francophone du Diabète

Ardix Medical

Bayer Diagnostics

Becton Dickinson

Cardionics

Merck Santé

Novo Nordisk

Pierre Fabre

Roche

Topcon

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology

Reference39 articles.

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3. Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insussslin Resistance Syndrome (DESIR);Balkau;Diabetes Care,2008

4. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes;Morris;Nature Genetics,2012

5. Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study;Vaxillaire;Diabetologia,2014

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