基于贝叶斯推理的STR-DNA匹配与家族关系

Maria Susan Anggreainy, N. Soedarsono, B. Widjaja
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引用次数: 3

摘要

该研究提出了贝叶斯推理,用似然比方法来识别家庭中没有父母的个体。这项研究是通过从兄弟姐妹、祖父母、叔叔、侄子和堂兄弟姐妹等活着的家庭中识别短串联重复序列(STR-DNA)来进行的。表兄弟姐妹的相似性DNA图谱测量结果不能使用,因为相似性值没有达到50%,而兄弟姐妹,祖父母,叔叔阿姨和侄子可以达到50%以上。对于兄弟姐妹、祖父母、叔叔和侄子,贝叶斯的精度值获得100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STR-DNA Matching and Family Relation Using Bayesian Inference
The research proposed Bayesian inference with a likelihood ratio approach to identifying an individual if the family had no parents. The research is by identifying Short Tandem Repeat (STR-DNA) from living families like siblings, grandparents, uncles, nephews, and cousins. The results of measurement similarity DNA profile for cousins cannot be used because the value of similarity does not reach 50%, while for siblings, grandparents, uncle-aunt, and nephew can reach above 50%. Precision value with Bayesian gains 100% for siblings, grandparents, uncles, and nephews.
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