Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes

Abstract

Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40-60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may offer additional insight. This study utilized exome sequencing data from the UK Biobank to perform a multi-trait gene-based association analysis of three BP-related phenotypes: chronic back pain, dorsalgia, and intervertebral disc disorder. We identified the SLC13A1 gene as a contributor to chronic back pain via loss-of-function (LoF) and missense variants. This gene has been previously detected in two studies. A multi-trait approach uncovered the novel FSCN3 gene and its impact on back pain through LoF variants. This gene deserves attention because it is only the second gene shown to have an effect on back pain due to LoF variants and represents a promising drug target for back pain therapy.

Keywords: FSCN3; SLC13A1; chronic back pain; dorsalgia; intervertebral disc disorder; linear combination of traits; loss-of-function (LoF) variant; rare and ultra-rare genetic variants; shared heritability.

Scheme 1

Calculation of EWAS summary statistics for the original traits and multi-trait.

Figure 1

SNP-based heritability (diagonal elements), phenotypic correlations (upper triangular elements), and genetic correlations (lower triangular elements).