» Articles » PMID: 32572135

Four Loci Are Associated with Cardiorespiratory Fitness and Endurance Performance in Young Chinese Females

Overview
Journal Sci Rep
Specialty Science
Date 2020 Jun 24
PMID 32572135
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Cardiorespiratory fitness (CRF) and endurance performance are characterized by a complex genetic trait with high heritability. Although research has identified many physiological and environmental correlates with CRF, the genetic architecture contributing to CRF remains unclear, especially in non-athlete population. A total of 762 Chinese young female participants were recruited and an endurance run test was used to determine CRF. We used a fixed model of genome-wide association studies (GWAS) for CRF. Genotyping was performed using the Affymetrix Axiom and illumina 1 M arrays. After quality control and imputation, a linear regression-based association analysis was conducted using a total of 5,149,327 variants. Four loci associated with CRF were identified to reach genome-wide significance (P < 5.0 × 10), which located in 15q21.3 (rs17240160, P = 1.73 × 10, GCOM1), 3q25.31 (rs819865, P = 8.56 × 10, GMPS), 21q22.3 (rs117828698, P = 9.59 × 10, COL18A1), and 17q24.2 (rs79806428, P = 3.85 × 10, PRKCA). These loci (GCOM1, GMPS, COL18A1 and PRKCA) associated with cardiorespiratory fitness and endurance performance in Chinese non-athlete young females. Our results suggest that these gene polymorphisms provide further genetic evidence for the polygenetic nature of cardiorespiratory endurance and be used as genetic biomarkers for future research.

Citing Articles

A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke.

Qu Q, Zhang K, Wang H, Zhu J, Lin Y, Jia J Front Neurol. 2025; 16:1465467.

PMID: 40040907 PMC: 11877007. DOI: 10.3389/fneur.2025.1465467.


Genes and Athletic Performance: The 2023 Update.

Semenova E, Hall E, Ahmetov I Genes (Basel). 2023; 14(6).

PMID: 37372415 PMC: 10298527. DOI: 10.3390/genes14061235.


Skeletal Muscles of Sedentary and Physically Active Aged People Have Distinctive Genic Extrachromosomal Circular DNA Profiles.

Gerovska D, Arauzo-Bravo M Int J Mol Sci. 2023; 24(3).

PMID: 36769072 PMC: 9917053. DOI: 10.3390/ijms24032736.


Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities.

Nieman D Front Nutr. 2021; 8:796360.

PMID: 34970584 PMC: 8712338. DOI: 10.3389/fnut.2021.796360.

References
1.
Ombrellaro K, Perumal N, Zeiher J, Hoebel J, Ittermann T, Ewert R . Socioeconomic Correlates and Determinants of Cardiorespiratory Fitness in the General Adult Population: a Systematic Review and Meta-Analysis. Sports Med Open. 2018; 4(1):25. PMC: 5992110. DOI: 10.1186/s40798-018-0137-0. View

2.
Carter J . The somatotypes of athletes--a review. Hum Biol. 1970; 42(4):535-69. View

3.
Bouchard C, Daw E, Rice T, Perusse L, Gagnon J, Province M . Familial resemblance for VO2max in the sedentary state: the HERITAGE family study. Med Sci Sports Exerc. 1998; 30(2):252-8. DOI: 10.1097/00005768-199802000-00013. View

4.
de Moor M, Spector T, Cherkas L, Falchi M, Hottenga J, Boomsma D . Genome-wide linkage scan for athlete status in 700 British female DZ twin pairs. Twin Res Hum Genet. 2008; 10(6):812-20. DOI: 10.1375/twin.10.6.812. View

5.
Amir O, Amir R, Yamin C, Attias E, Eynon N, Sagiv M . The ACE deletion allele is associated with Israeli elite endurance athletes. Exp Physiol. 2007; 92(5):881-6. DOI: 10.1113/expphysiol.2007.038711. View