Evidence map›Paper›PMID 19564886›Full record

ReviewNature reviews. Endocrinology2009

Genomics of type 2 diabetes mellitus: implications for the clinician.

Elliot S Stolerman, Jose C Florez

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00018889 (Phenotype/Genotype Correlations in Movement Disorders), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00018889 recruitingnot on this map

Phenotype/Genotype Correlations in Movement Disorders

TypeobservationalSponsorNational Institute of Neurological Disorders and Stroke (NINDS)Ran2001Enrolled2,500ConditionsMovement Disorder
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Gene variants associated with antisocial behaviour: a latent variable approach.Journal of child psychology and psychiatry, and allied disciplines · 2013
    Article
  17. Osteocalcin and the Regulation of Glucose Metabolism.Clinical reviews in bone and mineral metabolism · 2013
    Article
  18. Insulin signaling and insulin resistance.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2013
    Review
  19. IRS1 gene variants, dysglycaemic metabolic changes and type-2 diabetes risk.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2012
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Elliot S StolermanDiabetes Unit-Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.
Jose C Florez
Harvard University · USMassachusetts General Hospital · US

Funding

TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

Our understanding of the genetics of type 2 diabetes mellitus (T2DM) has changed, in part owing to implementation of genome-wide association studies as a method for unraveling the genetic architecture of complex traits. These studies enable a global search throughout the nuclear genome for variants that are associated with specific phenotypes. Currently, single nucleotide polymorphisms in about 24 different genetic loci have been associated with T2DM. Most of these genetic loci are associated with the insulin secretion pathway rather than insulin resistance. Study design, heritability differences and the intrinsic properties of in vivo insulin resistance measures might partially explain why only a few loci associated with insulin resistance have been detected through genome-wide association approaches. Despite the success of these approaches at detecting loci associated with T2DM, currently known associations explain only a small amount of the genetic variance involved in the disease. Compared with previous studies, larger cohorts might be needed to identify variants of smaller effect sizes and lower allele frequencies. Finally, the current list of genetic loci that are related to T2DM does not seem to offer greater predictive value in determining diabetes risk than do commonly used phenotypic risk factors and family history.

Indexed as

Diabetes Mellitus, Type 2Genome-Wide Association StudyGenomicsHumansPolymorphism, Single Nucleotide

Identifiers

PMID19564886
OpenAlexW1994822807

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.