The speed-gene study: methods, study design and preliminary results
Issued Date
2023-12-01
Resource Type
eISSN
17560500
Scopus ID
2-s2.0-85177477672
Journal Title
BMC Research Notes
Volume
16
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMC Research Notes Vol.16 No.1 (2023)
Suggested Citation
Htet S., Zannah M., Moe T.H., Wongveerakul P., Charoenpanich N., Saengsirisuwan V., Papadimitriou I. The speed-gene study: methods, study design and preliminary results. BMC Research Notes Vol.16 No.1 (2023). doi:10.1186/s13104-023-06617-3 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/91217
Title
The speed-gene study: methods, study design and preliminary results
Author's Affiliation
Other Contributor(s)
Abstract
The Speed-Gene study aims to identify genetic variants influencing athletic performance and human locomotion using motion capture technology. Currently, 60 female participants have completed the testing protocol, and the overall aim is to recruit 283 moderately trained, healthy Southeast Asian individuals (18–45 y, BMI < 30). Participants will undergo biomechanical analysis and genetic testing. Several analyses will be performed, including (but not limited to) linear and angular kinematic analysis using motion capture technology, force plate dynamometry and genetic analyses to define novel power/torque related outcomes that would be more sensitive to allele-specific differences in athletic performance. Pretesting beverages will be provided, and activity history and current activity levels will be assessed by a questionnaire. The kinematic data will be obtained using a Qualisys Track Manager (QTM) system, and DNA will be extracted from white blood cells. The participants serve as their own controls. Although the Speed-Gene study is tightly controlled, our preliminary findings still indicate considerable individual variability. More participants and further genetic analysis are required to allow the investigation of potential underlying genetic mechanisms responsible for this individual variability.