ReviewHuman genetics2011
Type 2 diabetes and obesity: genomics and the clinic.
Review in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.PLoS genetics · 2015Pooled it
- Association between variants of EXT2 and type 2 diabetes: a replication and meta-analysis.Human genetics · 2013Pooled it
- Meta-analysis of association studies between five candidate genes and type 2 diabetes in Chinese Han population.Endocrine · 2012Pooled it
- Prospective Advances in Genome Editing Investigation.Advances in experimental medicine and biology · 2023Article
- FNDC5 expression and circulating irisin levels are modified by diet and hormonal conditions in hypothalamus, adipose tissue and muscle.Scientific reports · 2016Article
- Minireview: Genome Editing of Human Pluripotent Stem Cells for Modeling Metabolic Disease.Molecular endocrinology (Baltimore, Md.) · 2016Review
- Association between DNA Methylation in Whole Blood and Measures of Glucose Metabolism: KORA F4 Study.PloS one · 2016Article
- Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools.Molecular metabolism · 2015Review
- Relationship between Type 2 Diabetes and Inflammation Diseases: Cohort Study in Chinese Adults.Iranian journal of public health · 2015Article
- Review
- Translational Genomics in Low- and Middle-Income Countries: Opportunities and Challenges.Public health genomics · 2015Article
- Development of ARMS-PCR assay for genotyping of Pro12Ala SNP of PPARG gene: a cost effective way for case-control studies of type 2 diabetes in developing countries.Molecular biology reports · 2014Article
- Adipose tissue depot specific promoter methylation of TMEM18.Journal of molecular medicine (Berlin, Germany) · 2014Article
- Association of four insulin resistance genes with type 2 diabetes mellitus and hypertension in the Chinese Han population.Molecular biology reports · 2014Article
- Insights into the genetic susceptibility to type 2 diabetes from genome-wide association studies of glycaemic traits.Current diabetes reports · 2014Review
- Leptin signaling molecular actions and drug target in hepatocellular carcinoma.Drug design, development and therapy · 2014Review
- Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study.Diabetes care · 2013Article
- The emerging use of zebrafish to model metabolic disease.Disease models & mechanisms · 2013Review
- Bringing genome-wide association findings into clinical use.Nature reviews. Genetics · 2013Review
- Insights into the genetic basis of type 2 diabetes.Journal of diabetes investigation · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Type 2 diabetes (T2D) and obesity represent major challenges for global public health. They are at the forefront of international efforts to identify the genetic variation contributing to complex disease susceptibility, and recent years have seen considerable success in identifying common risk-variants. Given the clinical impact of molecular diagnostics in rarer monogenic forms of these diseases, expectations have been high that genetic discoveries will transform the prospects for risk stratification, development of novel therapeutics and personalised medicine. However, so far, clinical translation has been limited. Difficulties in defining the alleles and transcripts mediating association effects have frustrated efforts to gain early biological insights, whilst the fact that variants identified account for only a modest proportion of observed familiarity has limited their value in guiding treatment of individual patients. Ongoing efforts to track causal variants through fine-mapping and to illuminate the biological mechanisms through which they act, as well as sequence-based discovery of lower-frequency alleles (of potentially larger effect), should provide welcome acceleration in the capacity for clinical translation. This review will summarise recent advances in identifying risk alleles for T2D and obesity, and existing contributions to understanding disease pathology. It will consider the progress made in translating genetic knowledge into clinical utility, the challenges remaining, and the realistic potential for further progress.
Indexed as
Identifiers
21647602What OpenQuestion holds
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.