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A collaborative genetic study on the STR system FGA in two Austrian population samples
Affiliation:1. Wireless Communications Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam;2. VSB-Technical University of Ostrava, 17. listopadu 15/2172, Ostrava - Poruba 708 33, Czech Republic;1. Department of Mathematics, Quaid-i-Azam University, Islamabad 44000, Pakistan;2. Department of Mathematics, Faculty of Science, King Abdulaziz cUniversity, Jeddah 21589, Saudi Arabia;1. Illinois Informatics Institute, University of Illinois at Urbana-Champaign, 255 Computing Applications Building, MC-150, 605 E Springfield Ave., Champaign, IL 61820, USA;2. Department of Geoinformatics, University of Seoul, The 21st Century Building, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 130-743, South Korea;3. Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, 255 Computing Applications Building, MC-150, 605 E Springfield Ave., Champaign, IL 61820, USA
Abstract:Population genetic data of the short tandem repeat system FGA were determined by PCR analysis in two Austrian population samples, one population north of the Alps and one population south of the Alps. A total of 15 different alleles could be observed in 500 unrelated individuals. No significant differences were found between the phenotype frequencies in the two populations, as determined by R×C contingency test, so the populations could be pooled for further analysis. Both the single populations and the pooled population are in accordance with Hardy–Weinberg equilibrium. FGA proves to be very efficient for both stain analysis and paternity testing. The presented allele and genotype data allow the statistical interpretation of this system for Austrians.
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