ReviewCurrent diabetes reports2017
Prioritising Causal Genes at Type 2 Diabetes Risk Loci.
Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders.Nature human behaviour · 2019Pooled it
- The body mass index-glucose index as a new tool for early detection of the risk of dysglycemia in patients with hypertension and obstructive sleep apnea.BMC endocrine disorders · 2026Article
- The impact of ncRNAs on type 2 diabetes: A comprehensive review covering molecular mechanisms to clinical applications.Molecular therapy. Nucleic acids · 2025Review
- Skeletal muscle overexpression of sAnk1.5 in transgenic mice does not predispose to type 2 diabetes.Scientific reports · 2023Article
- The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits.Cell metabolism · 2023Article
- The first exome wide association study in Tunisia: identification of candidate loci and pathways with biological relevance for type 2 diabetes.Frontiers in endocrinology · 2023Article
- A 646C > G (rs41423247) polymorphism of the glucocorticoid receptor as a risk factor for hyperglycaemia diagnosed in pregnancy-data from an observational study.Acta diabetologica · 2022Observational
- Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach.Turkish journal of biology = Turk biyoloji dergisi · 2022Article
- MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes.Bioinformatics (Oxford, England) · 2021Article
- Ten SNPs May Affect Type 2 Diabetes Risk in Interaction with Prenatal Exposure to Chinese Famine.Nutrients · 2020Article
- Atypical Diabetes Presentations in Sub-Saharan Africa Classification Puzzle and Possible Role of Precision Medicine.West African journal of medicine · 2020Review
- Telomere Maintenance Genes are associated with Type 2 Diabetes Susceptibility in Northwest Indian Population Group.Scientific reports · 2020Article
- Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics.Nature reviews. Endocrinology · 2020Review
- A genome-wide association study in mice reveals a role for Rhbdf2 in skeletal homeostasis.Scientific reports · 2020Article
- Mouse Models and Online Resources for Functional Analysis of Osteoporosis Genome-Wide Association Studies.Frontiers in endocrinology · 2019Review
- Review
- Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future.Circulation. Genomic and precision medicine · 2018Review
- Review
- Future Roadmaps for Precision Medicine Applied to Diabetes: Rising to the Challenge of Heterogeneity.Journal of diabetes research · 2018Review
- Characterization of Large Copy Number Variation in Mexican Type 2 Diabetes subjects.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purpose of reviewGenome-wide association studies (GWAS) for type 2 diabetes (T2D) risk have identified a large number of genetic loci associated with disease susceptibility. However, progress moving from association signals through causal genes to functional understanding has so far been slow, hindering clinical translation. This review discusses the benefits and limitations of emerging, unbiased approaches for prioritising causal genes at T2D risk loci. RECENT
findingsCandidate causal genes can be identified by a number of different strategies that rely on genetic data, genomic annotations, and functional screening of selected genes. To overcome the limitations of each particular method, integration of multiple data sets is proving essential for establishing confidence in the prioritised genes. Previous studies have also highlighted the need to support these efforts through identification of causal variants and disease-relevant tissues. Prioritisation of causal genes at T2D risk loci by integrating complementary lines of evidence promises to accelerate our understanding of disease pathology and promote translation into new therapeutics.
Indexed as
Identifiers
What 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.