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

Author:

Zorkoltseva Irina V.1,Elgaeva Elizaveta E.12,Belonogova Nadezhda M.1,Kirichenko Anatoliy V.1ORCID,Svishcheva Gulnara R.13ORCID,Freidin Maxim B.4ORCID,Williams Frances M. K.5,Suri Pradeep6789,Tsepilov Yakov A.1ORCID,Axenovich Tatiana I.1ORCID

Affiliation:

1. Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia

2. Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia

3. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia

4. Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London EC1M 6BQ, UK

5. Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK

6. Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA 98108, USA

7. Division of Rehabilitation Care Services, Seattle, WA 98208, USA

8. Clinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA 98195, USA

9. Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98195, USA

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.

Funder

Institute of Cytology and Genetics

Russian Science Foundation

Government of the Novosibirsk region

NIH/NIAMS

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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