使用15个STR基因座和一个灰色地带在波斯尼亚和黑塞哥维那中部一个小的当地人口中确定组合同胞指数

Q1 Engineering
J. Mušanović, Azra Metović, Adnan Fojnica, Jasmin Šutković, Tarik Ikanovic, P. Vasiljević, D. Marjanovic
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引用次数: 0

摘要

本研究调查了波斯尼亚和黑塞哥维那一小部分当地人口的遗传多样性和亲缘关系。在一项基因研究中,从Vukotići村采集了38人的样本,其中包括21名男性和17名女性。使用改良的Miller方案提取总基因组DNA。QUANTIFILER DNA鉴定试剂盒用于定量样品中的总人类DNA。通过计算亲属和非亲属的15个STR基因座中每个基因座的似然比来评估亲缘关系。结果显示,与较大人口中的混合人口相比,较小的本地人口具有更高的同质性。遗传分析中观察到的峰高变异归因于提取样品中DNA浓度的差异。Vukotići村的参与者之间存在关联的可能性很低。集中趋势和变异性测量揭示了对样本分布和变异的宝贵见解。该研究得出的结论是,CSI=1和CSI=3可以作为可靠的工具,在没有“灰色地带”的情况下确定小规模当地人口的同胞关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of combined sibship indices using 15 STR loci and a grey zone in a small local population in central Bosnia and Herzegovina
This study investigates the genetic diversity and relatedness among a small local population in Bosnia and Herzegovina. In a genetic research study, a sample of 38 individuals was collected from the village of Vukotići, consisting of 21 male and 17 female subjects. The total genomic DNA was extracted using a modified Miller protocol. The QUANTIFILER DNA identification kit was used to quantify the total human DNA in the sample. The sibship relationship was assessed by computing the likelihood ratio for each of the 15 STR loci in both relatives and non-relatives. Results showed a higher homogeneity of the small local population compared to the mixed population within the larger population. Variability in peak height observed in the genetic analysis was attributed to differences in DNA concentration in the extracted samples. Probability of relatedness among participants in the Vukotići village was found to be low. Central tendency and variability measures revealed valuable insights into sample distribution and variation. The study concludes that CSI=1 and CSI=3 can be used as reliable tools to determine sibship in small local populations without a "gray zone".
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
140
审稿时长
7 weeks
期刊介绍: *Industrial Engineering: 1 . Ergonomics 2 . Manufacturing 3 . TQM/quality engineering, reliability/maintenance engineering 4 . Production Planning 5 . Facility location, layout, design, materials handling 6 . Education, case studies 7 . Inventory, logistics, transportation, supply chain management 8 . Management 9 . Project/operations management, scheduling 10 . Information systems for production and management 11 . Innovation, knowledge management, organizational learning *Mechanical Engineering: 1 . Energy 2 . Machine Design 3 . Engineering Materials 4 . Manufacturing 5 . Mechatronics & Robotics 6 . Transportation 7 . Fluid Mechanics 8 . Optical Engineering 9 . Nanotechnology 10 . Maintenance & Safety *Computer Science: 1 . Computational Intelligence 2 . Computer Graphics 3 . Data Mining 4 . Human-Centered Computing 5 . Internet and Web Computing 6 . Mobile and Cloud computing 7 . Software Engineering 8 . Online Social Networks *Electrical and electronics engineering 1 . Sensor, automation and instrumentation technology 2 . Telecommunications 3 . Power systems 4 . Electronics 5 . Nanotechnology *Architecture: 1 . Advanced digital applications in architecture practice and computation within Generative processes of design 2 . Computer science, biology and ecology connected with structural engineering 3 . Technology and sustainability in architecture *Bioengineering: 1 . Medical Sciences 2 . Biological and Biomedical Sciences 3 . Agriculture and Life Sciences 4 . Biology and neuroscience 5 . Biological Sciences (Botany, Forestry, Cell Biology, Marine Biology, Zoology) [...]
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