The present study investigated the genetic architecture of muscle fibers composition by means of the genome-wide association study and polygenic score modeling. Hundred thousands of single genetic variants and aggregated signal from multiple genetic variants were tested for an association with a proportion of the type I muscle fibers. We found several suggestively associated genetic variants (p-value < 0.00001) that can be potentially replicated with a larger cohort. The polygenic scores for 165 individuals using 49,105 genetic variants identified a significant association between the polygenic component and muscle fibers ratio (linear regression p-value = 0.00012). The present work provides new insights into the complex genetic structure of the muscle fibers.
CITATION STYLE
Borisov, O., Maj, C., Kulemin, N., Semenova, E., Krawitz, P., Ahmetov, I., & Generozov, E. (2020). Polygenic modeling of muscle fibers composition. In Advances in Intelligent Systems and Computing (Vol. 1028 AISC, pp. 151–158). Springer. https://doi.org/10.1007/978-3-030-35048-2_18
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