A genetic correlation and bivariate genome-wide association study of grip strength and depression

• Published in: PloS one Vol. 17; no. 12; p. e0278392
• Main Authors: Zhang, Tianhao, Ji, Lujun, Luo, Jia, Wang, Weijing, Tian, Xiaocao, Duan, Haiping, Xu, Chunsheng, Zhang, Dongfeng
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 15.12.2022; Public Library of Science (PLoS)
• Subjects: Analysis; Biology and Life Sciences; Biomarkers; Bivariate analysis; Blood groups; Correlation; Correlation coefficient; Correlation coefficients; Cytokines; Decomposition; Depression - genetics; Depression, Mental; Diagnosis; Evaluation; Genes; Genetic analysis; Genetic aspects; Genetic Predisposition to Disease; Genetics; Genome-wide association studies; Genome-Wide Association Study - methods; Genomes; Grip strength; Hand Strength; Humans; Medicine and Health Sciences; Mental depression; Mental Disorders; Muscle strength; Nervous system; Older people; Parameter estimation; Pathways; Pleiotropy; Polymorphism, Single Nucleotide; Questionnaires; Single-nucleotide polymorphism; Skeletal muscle; Software; Thyroid; Twin studies; Twins; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0278392

Grip strength is an important biomarker reflecting muscle strength, and depression is a psychiatric disorder all over the world. Several studies found a significant inverse association between grip strength and depression, and there is also evidence for common physiological mechanisms between them. We used twin data from Qingdao, China to calculate genetic correlations, and we performed a bivariate GWAS to explore potential SNPs, genes, and pathways in common between grip strength and depression. 139 pairs of Dizygotic twins were used for bivariate GWAS. VEAGSE2 and PASCAL software were used for gene-based analysis and pathway enrichment analysis, respectively. And the resulting SNPs were subjected to eQTL analysis and pleiotropy analysis. The genetic correlation coefficient between grip strength and depression was -0.41 (-0.96, -0.15). In SNP-based analysis, 7 SNPs exceeded the genome-wide significance level (P<5×10-8) and a total of 336 SNPs reached the level of suggestive significance (P<1×10-5). Gene-based analysis and pathway-based analysis identified genes and pathways related to muscle strength and the nervous system. The results of eQTL analysis were mainly enriched in tissues such as the brain, thyroid, and skeletal muscle. Pleiotropy analysis shows that 9 of the 15 top SNPs were associated with both grip strength and depression. In conclusion, this bivariate GWAS identified potentially common pleiotropic SNPs, genes, and pathways in grip strength and depression.