RaPID-Query for fast identity by descent search and genealogical analysis.

RaPID-Query for fast identity by descent search and genealogical analysis.
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DOI:
10.1093/bioinformatics/btad312
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发表时间:
2023-06-01
期刊:
Bioinformatics (Oxford, England)
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由于基因数据库规模的快速增长,家谱搜索,通过识别DNA匹配推断家族关系的过程,已成为帮助个人寻找失踪家庭成员或执法机构定位嫌疑人的可行方法。需要一种快速而准确的方法来搜索数据库外的个人对数百万人。大多数现有的方法只提供小组内的所有对所有。一些原型算法提供了一个对所有的查询,从面板外的个人,但他们不容忍错误。提出了一种新的基于随机投影的身份下降检测查询方法,使快速的系谱搜索成为可能。RaPID查询识别查询单倍型和一组单倍型之间的IBD片段。通过整合多个PBWT索引上的匹配,RaPID-Query可以快速定位IBD片段,并具有给定的截止长度,同时允许不匹配的位点。对所有英国生物库常染色体的单次查询平均在2.76秒内完成,最小长度为7 cM和700个标记。RaPID-Query在具有86265个位点的20号染色体测序板上同时实现了0.016的假阴性率和0.012的假阳性率。这与最先进的IBD检测方法TPBWT(样品外)和Hap-IBD相当。RaPID-Query产生的高质量IBD片段能够区分给定个体对的高达四级的家族相关性,并且受试者工作特征曲线值下的面积至少为97.28%。RaPID查询程序可在https://github.com/ucfcbb/RaPID-Query上获得。
Due to the rapid growth of the genetic database size, genealogical search, a process of inferring familial relatedness by identifying DNA matches, has become a viable approach to help individuals finding missing family members or law enforcement agencies locating suspects. A fast and accurate method is needed to search an out-of-database individual against millions of individuals. Most existing approaches only offer all-versus-all within panel match. Some prototype algorithms offer one-versus-all query from out-of-panel individual, but they do not tolerate errors. A new method, random projection-based identity-by-descent (IBD) detection (RaPID) query, is introduced to make fast genealogical search possible. RaPID-Query identifies IBD segments between a query haplotype and a panel of haplotypes. By integrating matches over multiple PBWT indexes, RaPID-Query manages to locate IBD segments quickly with a given cutoff length while allowing mismatched sites. A single query against all UK biobank autosomal chromosomes was completed within 2.76 seconds on average, with the minimum length 7 cM and 700 markers. RaPID-Query achieved a 0.016 false negative rate and a 0.012 false positive rate simultaneously on a chromosome 20 sequencing panel having 86 265 sites. This is comparable to the state-of-the-art IBD detection method TPBWT(out-of-sample) and Hap-IBD. The high-quality IBD segments yielded by RaPID-Query were able to distinguish up to fourth degree of the familial relatedness for a given individual pair, and the area under the receiver operating characteristic curve values are at least 97.28%. The RaPID-Query program is available at https://github.com/ucfcbb/RaPID-Query.
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