Polygenic prediction of atopic dermatitis improves with atopic training and filaggrin factors.

ABSTRACT:

Background

While numerous genetic loci associated with atopic dermatitis (AD) have been discovered, to date, work leveraging the combined burden of AD risk variants across the genome to predict disease risk has been limited.

Objectives

This study aims to determine whether polygenic risk scores (PRSs) relying on genetic determinants for AD provide useful predictions for disease occurrence and severity. It also explicitly tests the value of including genome-wide association studies of related allergic phenotypes and known FLG loss-of-function (LOF) variants.

Methods

AD PRSs were constructed for 1619 European American individuals from the Atopic Dermatitis Research Network using an AD training dataset and an atopic training dataset including AD, childhood onset asthma, a

SUBMITTER: Arehart CH 

PROVIDER: S-EPMC8973457 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature