Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

2018 Nature Communications 974 citations

Keywords

Genome-wide association studyBiologyEpigenomicsGeneticsDNA methylationGenetic associationExpression quantitative trait lociEpigeneticsGeneComputational biologyType 2 diabetesGenomeSingle-nucleotide polymorphismGene expressionGenotypeDiabetes mellitus

Affiliated Institutions

Related Publications

Publication Info

Year
2018
Type
review
Volume
9
Issue
1
Pages
2941-2941
Citations
974
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

974
OpenAlex

Cite This

Angli Xue, Yang Wu, Zhihong Zhu et al. (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications , 9 (1) , 2941-2941. https://doi.org/10.1038/s41467-018-04951-w

Identifiers

DOI
10.1038/s41467-018-04951-w