ArticlePloS one2017
Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Genetic Insights Into Type 2 Diabetes Mellitus Susceptibility: A Case-Control Study of theGenetics research · 2025Article
- The effect of family structure on the still-missing heritability and genomic prediction accuracy of type 2 diabetes.Human genomics · 2024Article
- Characteristics of insulin resistance in Korean adults from the perspective of circadian and metabolic sensing genes.Genes & genomics · 2023Article
- The collective effects of genetic variants and complex traits.Journal of human genetics · 2023Article
- A Higher Polygenic Risk Score Is Associated with a Higher Recurrence Rate of Atrial Fibrillation in Direct Current Cardioversion-Treated Patients.Medicina (Kaunas, Lithuania) · 2021Article
- Article
- Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.Diabetologia · 2021Article
- Article
- Correction: Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population.PloS one · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Type 2 diabetes (T2D) is a complex disorder characterized by high blood sugar, insulin resistance, and relative lack of insulin. The collective effects of genome wide minor alleles of common SNPs, or the minor allele content (MAC) in an individual, have been linked with quantitative variations of complex traits and diseases. Here we studied MAC in T2D using previously published SNP datasets and found higher MAC in cases relative to matched controls. A set of 357 SNPs was found to have the best predictive accuracy in a British population. A weighted risk score calculated by using this set produced an area under the curve (AUC) score of 0.86, which is comparable to risk models built by phenotypic markers. These results identify a novel genetic risk element in T2D susceptibility and provide a potentially useful genetic method to identify individuals with high risk of T2D.
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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.