Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes

The achievements of genome-wide association studies have suggested ways to predict diseases, such as type 2 diabetes (T2D), using single-nucleotide polymorphisms (SNPs). Most T2D risk prediction models have used SNPs in combination with demographic variables. However, it is difficult to evaluate the...

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מידע ביבליוגרפי

Principais autores:	Chanwoo Park, Nan Jiang, Taesung Park
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BioMed Central 2019-12-01
סדרה:	Genomics & Informatics
נושאים:	genome-wide association study penalized regression model propensity score type 2 diabetes
גישה מקוונת:	http://genominfo.org/upload/pdf/gi-2019-17-4-e47.pdf
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