ArticleDiabetologia2009
Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies.
Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 30 citations in OpenAlex.
- The Complex Gene-Carbohydrate Interaction in Type 2 Diabetes: Between Current Knowledge and Future Perspectives.Nutrients · 2025Review
- Association of four insulin resistance genes with type 2 diabetes mellitus and hypertension in the Chinese Han population.Molecular biology reports · 2014Article
- Accounting for a quantitative trait locus for plasma triglyceride levels: utilization of variants in multiple genes.PloS one · 2012Article
- Association of polymorphisms in mitofusin-2 gene with type 2 diabetes in Han Chinese.Journal of biomedicine & biotechnology · 2012Article
- Pleiotropy of type 2 diabetes with obesity.Journal of human genetics · 2011Article
- Novel adiponectin-resistin (AR) and insulin resistance (IRAR) indexes are useful integrated diagnostic biomarkers for insulin resistance, type 2 diabetes and metabolic syndrome: a case control study.Cardiovascular diabetology · 2011Article
- Article
- A role for coding functional variants in HNF4A in type 2 diabetes susceptibility.Diabetologia · 2011Article
- Association of a common LAMA5 variant with anthropometric and metabolic traits in an Italian cohort of healthy elderly subjects.Experimental gerontology · 2011Article
- Ancestry-informative markers on chromosomes 2, 8 and 15 are associated with insulin-related traits in a racially diverse sample of children.Human genomics · 2011Article
- Genome-wide searching of rare genetic variants in WTCCC data.Human genetics · 2010Article
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2 authors at 2 institutions in 1 country.
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Abstract
aims/hypothesisLittle of the genetic basis for type 2 diabetes has been explained, despite numerous genetic linkage studies and the discovery of multiple genes in genome-wide association (GWA) studies. To begin to resolve the genetic component of this disease, we searched for sites at which genetic results had been corroborated in different studies, in the expectation that replication among studies should direct us to the genomic locations of causative genes with more confidence than the results of individual studies.
methodsWe have mapped the physical location of results from 83 linkage reports (for type 2 diabetes and diabetes precursor quantitative traits [QTs, e.g. plasma insulin levels]) and recent large GWA reports (for type 2 diabetes) onto the same human genome sequence to identify replicated results in diabetes genetic 'hot spots'.
resultsGenetic linkage has been found at least ten times at 18 different locations, and at least five times in 56 locations. All replication clusters contained study populations from more than one ethnic background and most contained results for both diabetes and QTs. There is no close relationship between the GWA results and linkage clusters, and the nine best replication clusters have no nearby GWA result. CONCLUSIONS/
interpretationMany of the genes for type 2 diabetes remain unidentified. This analysis identifies the broad location of yet to be identified genes on 6q, 1q, 18p, 2q, 20q, 17pq, 8p, 19q and 9q. The discrepancy between the linkage and GWA studies may be explained by the presence of multiple, uncommon, mildly deleterious polymorphisms scattered throughout the regulatory and coding regions of genes for type 2 diabetes.
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