Ran Li 李燃, Yu Zang 臧钰, Zhentang Liu 刘震棠, Jingyi Yang 杨静怡, Nana Wang 汪娜娜, Jiajun Liu 刘佳俊, Enlin Wu 吴恩霖, Riga Wu 乌日嘎, Hongyu Sun 孙宏钰
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引用次数: 0
Abstract
The detection of identity-by-descent (IBD) segments is widely used to infer relatedness in many fields, including forensics and ancient DNA analysis. However, existing methods are often ineffective for poor-quality DNA samples. Here, we propose a method, clusIBD, which can robustly detect IBD segments using unphased genetic data with a high rate of genotyping error. We evaluated and compared the performance of clusIBD with that of IBIS, TRUFFLE, and IBDseq using simulated data, artificial poor-quality materials, and ancient DNA samples. The results show that clusIBD outperforms these existing tools and could be used for kinship inference in fields such as ancient DNA analysis and criminal investigation. clusIBD is publicly available at GitHub (https://github.com/Ryan620/clusIBD/) and BioCode (https://ngdc.cncb.ac.cn/biocode/tool/BT007882).
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