DNA Database Laboratory, Division of identification and forensic (DIFS), Israel Police, Headquarters, Jerusalem, Israel.
DNA Database Laboratory, Division of identification and forensic (DIFS), Israel Police, Headquarters, Jerusalem, Israel.
Forensic Sci Int. 2023 May;346:111639. doi: 10.1016/j.forsciint.2023.111639. Epub 2023 Mar 7.
The Israel DNA database has recently started to conduct familial searches (FS). We adopted the CODIS pedigree strategy for FS, which is used in the Unidentified Human Remains (UHR) database and implemented it into the criminal forensic database. This strategy is based on Kinship analysis performed in pedigrees containing DNA profiles from the crime scene designated "unknown," that are then searched against the entire suspects database. A list of candidates is produced and ranked by Joint Pedigree Likelihood Ratio (JPLR). Traditional Y-STR characterizing and mitochondrial sequencing can be performed in order to further minimize the list. Our novel strategy consists of an additional pedigree analysis aimed at prioritizing potential candidates from the candidate list: a Test Pedigree Tree (TPT). Candidates ranked high on the JPLR list can be verified or eliminated from the list by using other close family members included in the database. To further validate this novel strategy, we describe two cases where implementation of this strategy led to a successful match and solved the crime.
以色列 DNA 数据库最近开始进行家族搜索（FS）。我们采用了 CODIS 系谱策略进行 FS，该策略用于不明人类遗骸（UHR）数据库，并将其实施到犯罪法医数据库中。该策略基于对犯罪现场指定的“未知”DNA 谱进行亲属关系分析，然后针对整个嫌疑犯数据库进行搜索。生成候选名单，并通过联合系谱似然比（JPLR）进行排名。可以进行传统的 Y-STR 特征分析和线粒体测序，以进一步缩小列表。我们的新策略包括对候选名单中的潜在候选人进行额外的系谱分析：测试系谱树（TPT）。在 JPLR 列表中排名较高的候选人可以通过使用数据库中包含的其他近亲来验证或从列表中删除。为了进一步验证这种新策略，我们描述了两个案例，其中该策略的实施导致了成功的匹配并解决了犯罪。
