Dataset Information

Risk assessment of type 2 diabetes in northern China based on the logistic regression model.

ABSTRACT:

Background

Type 2 diabetes mellitus (T2DM) is a complex disease with high incidence and serious harm associated with polygenic determination. This study aimed to develop a predictive model so as to assess the risk of T2DM and apply it to health care and disease prevention in northern China.

Objective

Based on genotyping results, a risk warning model for type 2 diabetes was established.

Methods

Blood samples of 1042 patients with T2DM in northern China were collected. Multiplex polymerase chain reaction and high-throughput sequencing (NGS) techniques were used to design the amplification-based targeted sequencing panel to sequence the 21 T2DM susceptibility genes.