@article{(Open Science Index):https://publications.waset.org/pdf/10004880,
	  title     = {ACTN3 Genotype Association with Motoric Performance of Roma Children},
	  author    = {J. Bernasovska and  I. Boronova and  J. Poracova and  M. Mydlarova Blascakova and  V. Szabadosova and  P. Ruzbarsky and  E. Petrejcikova and  I. Bernasovsky},
	  country	= {},
	  institution	= {},
	  abstract     = {The paper presents the results of the molecular
genetics analysis in sports research, with special emphasis to use
genetic information in diagnosing of motoric predispositions in Roma
boys from East Slovakia. The ability and move are the basic
characteristics of all living organisms. The phenotypes are influenced
by a combination of genetic and environmental factors. Genetic tests
differ in principle from the traditional motoric tests, because
the DNA of an individual does not change during life. The aim of
the presented study was to examine motion abilities and to determine
the frequency of ACTN3 (R577X) gene in Roma children. Genotype
data were obtained from 138 Roma and 155 Slovak boys from 7 to 15
years old. Children were investigated on physical performance level
in association with their genotype. Biological material for genetic
analyses comprised samples of buccal swabs. Genotypes were
determined using Real Time High resolution melting PCR method
(Rotor-Gene 6000 Corbett and Light Cycler 480 Roche). The
software allows creating reports of any analysis, where information
of the specific analysis, normalized and differential graphs and many
information of the samples are shown. Roma children of analyzed
group legged to non-Romany children at the same age in all the
compared tests. The % distribution of R and X alleles in Roma
children was different from controls. The frequency of XX genotype
was 9.26%, RX 46.33% and RR was 44.41%. The frequency of XX
genotype was 9.26% which is comparable to a frequency of an Indian
population. Data were analyzed with the ANOVA test.},
	    journal   = {International Journal of Sport and Health Sciences},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {3750 - 3753},
	  ee        = {https://publications.waset.org/pdf/10004880},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},
	}