Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data.

ABSTRACT:

Background

Greying of the hair is an obvious sign of human aging. In addition to age, sex- and ancestry-specific patterns of hair greying are also observed and the progression of greying may be affected by environmental factors. However, little is known about the genetic control of this process. This study aimed to assess the potential of genetic data to predict hair greying in a population of nearly 1000 individuals from Poland.

Results

The study involved whole-exome sequencing followed by targeted analysis of 378 exome-wide and literature-based selected SNPs. For the selection of predictors, the minimum redundancy maximum relevance (mRMRe) method was used, and then two prediction models were developed. The models included age, sex and 13 unique SNPs. Two SNPs of the highes

SUBMITTER: Pospiech E 

PROVIDER: S-EPMC7430834 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature