New Genetic Model for Predicting Phenotype Traits in Sports

Massidda, Myosotis; Scorcu, Marco; Calò, Carla Maria

doi:10.1123/ijspp.2012-0339

Cited by 49 publications

(48 citation statements)

References 25 publications

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“…This could ignore the fact that these alleles might contribute differently towards certain muscular phenotypes. Thus, other GPS calculation methods, such as total weighting genotype score 63 , LASSO and Elastic Nets 64 can provide new ways to study the relation between gene and aging muscle.…”

Section: Discussionmentioning

confidence: 99%

Genetic predisposition score predicts the increases of knee strength and muscle mass after one-year exercise in healthy elderly

Roie

Bogaerts

et al. 2018

Experimental Gerontology

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This study aims to identify a genetic predisposition score from a set of candidate gene variants that predicts the response to a one-year exercise intervention. 200 participants (aged 60-83 years) were randomly assigned to a fitness (FIT), whole-body vibration (WBV) and control group. Participants in the exercise (FIT and WBV) groups performed a one-year intervention program. Whole-body skeletal muscle mass (SMM) and isometric knee extension strength (PT) were measured before and after the intervention. A set of 170 muscle-related single nucleotide polymorphisms (SNPs) were genotyped. Stepwise regression analysis was applied to select significantly contributing SNPs for baseline and relative change parameters. A data-driven genetic predisposition score (GPS) was calculated by adding up predisposing alleles for each of the phenotypes. GPS was calculated based on 4 to 8 SNPs which were significantly related to the corresponding phenotypes. These SNPs belong to genes that are involved in myoblast differentiation, muscle and bone growth, myofiber contraction, cytokines and DNA methylation. GPS was related to baseline PT and relative changes of SMM and PT in the exercise groups, explaining the variance of the corresponding parameter by 3.2%, 14% and 27%, respectively. Adding one increasing allele in the GPS increased baseline PTIM by 4.73 Nm, and exercise-induced relative changes of SMM and PT by 1.78% and 3.86% respectively. The identified genetic predisposition scores were positively related to baseline knee extension strength and muscle adaptations to exercise in healthy elderly. These findings provide supportive genetic explanations for high and low responders in exercise-induced muscle adaptations.

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Section: Discussionmentioning

confidence: 99%

Genetic predisposition score predicts the increases of knee strength and muscle mass after one-year exercise in healthy elderly

Roie

Bogaerts

et al. 2018

Experimental Gerontology

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“…Each person has a unique genetic profile. Some studies already suggest using genetic profiles to enhance athletic performance [58, 59]. Taking appropriate preventive measures might decrease the risk of an ACL rupture, as well as its costs [60, 61].…”

Section: Discussionmentioning

confidence: 99%

Genetic Variants and Anterior Cruciate Ligament Rupture: A Systematic Review

et al. 2017

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BackgroundStudies have shown a familial predisposition for anterior cruciate ligament (ACL) rupture and have been followed by genetic-association studies on polymorphisms in candidate genes in recent years. To date, no systematic review with a best-evidence synthesis has evaluated the influence of genetics on this devastating knee injury.ObjectiveOur objective was to evaluate the association between genetic variants and ACL rupture.MethodsWe performed an extensive search in Embase, MEDLINE, Web of Science, Scopus, PubMed Publisher, Cochrane Register of Clinical Trials, and Google scholar up to 24 August 2015. Studies were eligible if they met the following inclusion criteria: (1) design was a case–control study, retrospective or prospective follow-up study, or a randomized controlled trial (RCT); (2) the study examined the association between a genetic variant and ACL rupture in both an ACL and a control group. We determined the risk of bias for all included studies.ResultsWe included a total of 16 studies (eight at high risk of bias and eight with an unclear risk) that examined 33 different DNA variants. Conflicting evidence was found for the COL1A1 rs1800012 and COL3A1 rs1800255 variants, whereas limited evidence was found for no association of the COL5A1 rs12722 and rs13946 and COL12A1 rs970547 variants (all encoding collagen). Evidence was insufficient to draw conclusions as to whether any other genetic variant identified in this review had any association with ACL rupture.ConclusionsMore research is needed to support a clear association between ACL rupture and genetic variants. Genome-wide studies are recommended for exploring more potential genetic variants. Moreover, large prospective studies are needed to draw robust conclusions.

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“…A pesar de que diferentes estudios hayan demostrado que la herencia genética influye en la actividad física, los investigadores están comenzando a discernir los procesos biológicos que intervienen en ella (Epstein, 2014). Recientemente se publicaron investigaciones que relacionan al gen ACTN3 (Alfa-actinina-3) con el rendimiento deportivo, asociándolo con la velocidad y la fuerza explosiva de un deportista y con la capacidad de evitar el daño ocasionado por las contracciones excéntricas musculares (Nan Yang et al, 2003, en González, León, & López, 2013Macarthur & North, 2011;Muniesa et al 2011 la Calle 2013; Epstein, 2014;Franchini, 2014;Massidda, Scorcu, & Calò, 2014). A los genes BDKRB2 (Receptor B2 de bradicinina) y ACE (Enzima conversora de angiotensina) se los vincula con una mayor capacidad de salto vertical (fuerza explosiva) en los deportistas (Massidda et al, 2014).…”

Section: Scopus Entrenamientounclassified