Sports genetics moving forward: lessons learned from medical research

被引:22
|
作者
Mattsson, C. Mikael [1 ,2 ]
Wheeler, Matthew T. [1 ,3 ]
Waggott, Daryl [1 ,3 ]
Caleshu, Colleen [1 ,3 ,4 ]
Ashley, Euan A. [1 ,3 ,5 ]
机构
[1] Stanford Univ, Dept Med, Div Cardiovasc Med, Stanford, CA 94305 USA
[2] Swedish Sch Sport & Hlth Sci, Astrand Lab Work Physiol, Stockholm, Sweden
[3] Stanford Univ, Div Cardiovasc Med, Ctr Inherited Cardiovasc Dis, Stanford, CA 94305 USA
[4] Stanford Univ, Dept Pediat, Div Med Genet, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Genet, Stanford, CA 94305 USA
关键词
sports genetics; individual differences; genetic testing; sports medicine; precision medicine; GENOME-WIDE ASSOCIATION; CORONARY-HEART-DISEASE; SUSCEPTIBILITY LOCI; PHYSICAL-ACTIVITY; HERITAGE FAMILY; SKELETAL-MUSCLE; EXERCISE; IDENTIFICATION; METAANALYSIS; PERFORMANCE;
D O I
10.1152/physiolgenomics.00109.2015
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Sports genetics can take advantage of lessons learned from human disease genetics. By righting past mistakes and increasing scientific rigor, we can magnify the breadth and depth of knowledge in the field. We present an outline of challenges facing sports genetics in the light of experiences from medical research. Sports performance is complex, resulting from a combination of a wide variety of different traits and attributes. Improving sports genetics will foremost require analyses based on detailed phenotyping. To find widely valid, reproducible common variants associated with athletic phenotypes, study sample sizes must be dramatically increased. One paradox is that in order to confirm relevance, replications in specific populations must be undertaken. Family studies of athletes may facilitate the discovery of rare variants with large effects on athletic phenotypes. The complexity of the human genome, combined with the complexity of athletic phenotypes, will require additional metadata and biological validation to identify a comprehensive set of genes involved. Analysis of personal genetic and multiomic profiles contribute to our conceptualization of precision medicine; the same will be the case in precision sports science. In the refinement of sports genetics it is essential to evaluate similarities and differences between sexes and among ethnicities. Sports genetics to date have been hampered by small sample sizes and biased methodology, which can lead to erroneous associations and overestimation of effect sizes. Consequently, currently available genetic tests based on these inherently limited data cannot predict athletic performance with any accuracy.
引用
收藏
页码:175 / 182
页数:8
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