ReviewCurrent diabetes reports2009
Genome-wide association studies in type 1 diabetes.
Review in Current diabetes reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- FGF-2b and h-PL Transform Duct and Non-Endocrine Human Pancreatic Cells into Endocrine Insulin Secreting Cells by Modulating Differentiating Genes.International journal of molecular sciences · 2017Article
- The DNA methylation profile of activated human natural killer cells.Epigenetics · 2016Article
- Performance of genetic risk factors in prediction of trichloroethylene induced hypersensitivity syndrome.Scientific reports · 2015Article
- Influence of host immunoregulatory genes, ER stress and gut microbiota on the shared pathogenesis of inflammatory bowel disease and Type 1 diabetes.Immunotherapy · 2013Review
- 'Metabolically healthy obesity': origins and implications.Molecular aspects of medicine · 2013Review
- Association between type 1 diabetes and GWAS SNPs in the southeast US Caucasian population.Genes and immunity · 2011Article
- Proceedings of the Tenth Annual UT-ORNL-KBRIN Bioinformatics Summit 2011.BMC bioinformatics · 2011Article
- Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using omic technologies.Expert opinion on medical diagnostics · 2010Article
- Integrating pathway analysis and genetics of gene expression for genome-wide association studies.American journal of human genetics · 2010Article
- Recent advances in childhood diabetes mellitus.Annals of Ibadan postgraduate medicine · 2008Article
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
No grant is acknowledged in the PubMed record.
Abstract
Type 1 diabetes (T1D) is a chronic disease that typically manifests itself in childhood through the autoimmune destruction of pancreatic beta cells, resulting in a lack of production of insulin. T1D is a multifactorial disease with a strong genetic component that is thought to interact with specific environmental triggers. Several genetic determinants of T1D were already established before the era of genome-wide association studies, primarily with the HLA class II genes, encoding highly polymorphic antigen-presenting proteins that account for almost 50% of the genetic risk for T1D. The recent development of high-throughput single nucleotide polymorphism genotyping array technologies has enabled investigators to perform high-density genome-wide association studies in search of the remaining T1D loci. Combined with the well-established genes known for many years, 16 loci have now been uncovered to date as being robustly associated with the pathogenesis of this phenotype.
Indexed as
Identifiers
19323961What 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.