Document Detail


Genetic risk scores ascertained in early adulthood and the prediction of type 2 diabetes later in life.
MedLine Citation:
PMID:  22878780     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
It is hoped that information garnered from studies on population genetics will one day be translated into a form in which it meaningfully improves the prediction, prevention or treatment of type 2 diabetes. Type 2 diabetes genetics researchers have made extraordinary progress in identifying common genetic variants that are associated with type 2 diabetes, which has shed light on the biological pathways in which molecular defects that cause the disease likely reside. However, the expectation that genetic discoveries will aid the prevention or treatment of type 2 diabetes has not, so far, been fulfilled. In a paper published in this edition of the journal, Vassy and colleagues (DOI: 10.1007/s00125-012-2637-7) test the hypothesis that the predictive accuracy of established genetic risk markers for type 2 diabetes varies by age, with the predictive accuracy being greatest in younger cohorts. The authors found no substantive support for this hypothesis. However, a number of interesting questions are raised by their study concerning why risk alleles for a given genotype may differ in younger and older cohorts and why prospective cohort studies may yield results that are inconsistent with those derived from cross-sectional studies; this commentary discusses these points.
Authors:
P W Franks
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-8-11
Journal Detail:
Title:  Diabetologia     Volume:  -     ISSN:  1432-0428     ISO Abbreviation:  Diabetologia     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-8-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0006777     Medline TA:  Diabetologia     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Skåne University Hospital Malmö, CRC, Entr 72, Building 60, Level 12, 205 02, Malmö, Sweden, paul.franks@med.lu.se.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Examining school-based bullying interventions using multilevel discrete time hazard modeling.
Next Document:  Vitamin D status indicators in indigenous populations in East Africa.