A. Ndungutse, F. Karege, C. Nsanzabaganwa, L. Mutesa
{"title":"在生物技术方法中使用21个STR位点进行亲子鉴定:卢旺达人口案例","authors":"A. Ndungutse, F. Karege, C. Nsanzabaganwa, L. Mutesa","doi":"10.4314/rmj.v80i2.9","DOIUrl":null,"url":null,"abstract":"INTRODUCTION: We focused on a sample size of 141 unrelated Rwandan persons to genotype21 STR loci that were relied up in establishing allele frequencies, heterozygosity and power ofexclusion. This study aims at exploring allele frequencies on a representative sample from Rwandanpopulation to determine probability of paternity for sampled families basing on polymorphic STRsloci, using 21 autosomal-STR loci by Genetic Analyzer 3500X.METHODS: This was an experimental study and global filer TM Express PCR Amplification kit wasused to amplify 21 autosomal STR loci.RESULTS: The total number of observed alleles was 270; the largest number of different alleleswas seen in SE33 and D18S51 loci. The locus with the highest heterozygosity was SE33, while locusTH01 had the lowest heterozygosity. The heterozygosity of the 21 STR loci ranged from 71.3%(TH01) to 91.6% (SE33) with an average of 81.1% a good indicator of high genetic variability. Forall microsatellites analyzed the power of exclusion ranged from 43.4% (TH01) to 78.1% (SE33)with an average of 58.2%. For seven of eight cases examined in paternity test alleged father wasnot excluded as biological father of child. The results found in examination of case 8 indicated thatthe alleged father was not the biological father of the child.CONCLUSION: Based on calculated statistical parameters, the population of Rwanda may usethese 21 STR loci as a vital tool for forensic identification and paternity testing.","PeriodicalId":38181,"journal":{"name":"Rwanda Medical Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Paternity testing using 21 STR Loci in a biotechnology approach: case of Rwandan Population\",\"authors\":\"A. Ndungutse, F. Karege, C. Nsanzabaganwa, L. Mutesa\",\"doi\":\"10.4314/rmj.v80i2.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"INTRODUCTION: We focused on a sample size of 141 unrelated Rwandan persons to genotype21 STR loci that were relied up in establishing allele frequencies, heterozygosity and power ofexclusion. This study aims at exploring allele frequencies on a representative sample from Rwandanpopulation to determine probability of paternity for sampled families basing on polymorphic STRsloci, using 21 autosomal-STR loci by Genetic Analyzer 3500X.METHODS: This was an experimental study and global filer TM Express PCR Amplification kit wasused to amplify 21 autosomal STR loci.RESULTS: The total number of observed alleles was 270; the largest number of different alleleswas seen in SE33 and D18S51 loci. The locus with the highest heterozygosity was SE33, while locusTH01 had the lowest heterozygosity. The heterozygosity of the 21 STR loci ranged from 71.3%(TH01) to 91.6% (SE33) with an average of 81.1% a good indicator of high genetic variability. Forall microsatellites analyzed the power of exclusion ranged from 43.4% (TH01) to 78.1% (SE33)with an average of 58.2%. For seven of eight cases examined in paternity test alleged father wasnot excluded as biological father of child. The results found in examination of case 8 indicated thatthe alleged father was not the biological father of the child.CONCLUSION: Based on calculated statistical parameters, the population of Rwanda may usethese 21 STR loci as a vital tool for forensic identification and paternity testing.\",\"PeriodicalId\":38181,\"journal\":{\"name\":\"Rwanda Medical Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rwanda Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/rmj.v80i2.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rwanda Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/rmj.v80i2.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Paternity testing using 21 STR Loci in a biotechnology approach: case of Rwandan Population
INTRODUCTION: We focused on a sample size of 141 unrelated Rwandan persons to genotype21 STR loci that were relied up in establishing allele frequencies, heterozygosity and power ofexclusion. This study aims at exploring allele frequencies on a representative sample from Rwandanpopulation to determine probability of paternity for sampled families basing on polymorphic STRsloci, using 21 autosomal-STR loci by Genetic Analyzer 3500X.METHODS: This was an experimental study and global filer TM Express PCR Amplification kit wasused to amplify 21 autosomal STR loci.RESULTS: The total number of observed alleles was 270; the largest number of different alleleswas seen in SE33 and D18S51 loci. The locus with the highest heterozygosity was SE33, while locusTH01 had the lowest heterozygosity. The heterozygosity of the 21 STR loci ranged from 71.3%(TH01) to 91.6% (SE33) with an average of 81.1% a good indicator of high genetic variability. Forall microsatellites analyzed the power of exclusion ranged from 43.4% (TH01) to 78.1% (SE33)with an average of 58.2%. For seven of eight cases examined in paternity test alleged father wasnot excluded as biological father of child. The results found in examination of case 8 indicated thatthe alleged father was not the biological father of the child.CONCLUSION: Based on calculated statistical parameters, the population of Rwanda may usethese 21 STR loci as a vital tool for forensic identification and paternity testing.
期刊介绍:
The Rwanda Medical Journal (RMJ), is a Not-For-Profit scientific, medical, journal that is published entirely online in open-access electronic format. The RMJ is an interdisciplinary research journal for publication of original work in all the major health disciplines. Through a rigorous process of evaluation and peer review, The RMJ strives to publish original works of high quality for a diverse audience of healthcare professionals. The Journal seeks to deepen knowledge and advance scientific discovery to improve the quality of care of patients in Rwanda and internationally.