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通过插补解决亚利桑那州搜索问题。

Solving the Arizona search problem by imputation.

作者信息

Lappo Egor, Rosenberg Noah A

机构信息

Department of Biology, Stanford University, Stanford, CA, USA.

出版信息

iScience. 2024 Jan 12;27(2):108831. doi: 10.1016/j.isci.2024.108831. eCollection 2024 Feb 16.

DOI:10.1016/j.isci.2024.108831
PMID:38323008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10845060/
Abstract

An "Arizona search" is an evaluation of the numbers of pairs of profiles in a forensic-genetic database that possess partial or complete genotypic matches; such a search assists in establishing the extent to which a set of loci provides unique identifications. In forensic genetics, however, the potential for performing Arizona searches is constrained by the limited availability of actual forensic profiles for research purposes. Here, we use genotype imputation to circumvent this problem. From a database of genomes, we impute genotypes of forensic short-tandem-repeat (STR) loci from neighboring single-nucleotide polymorphisms (SNPs), searching for partial STR matches using the imputed profiles. We compare the distributions of the numbers of partial matches in imputed and actual profiles, finding close agreement. Despite limited potential for performing Arizona searches with actual forensic STR profiles, the questions that such searches seek to answer can be posed with imputation-based Arizona searches in increasingly large SNP databases.

摘要

“Arizona搜索”是对法医基因数据库中具有部分或完全基因型匹配的图谱对数量进行评估;这样的搜索有助于确定一组基因座提供唯一识别的程度。然而,在法医遗传学中,由于用于研究目的的实际法医图谱有限,进行Arizona搜索的可能性受到限制。在此,我们使用基因型填充来规避这一问题。从一个基因组数据库中,我们从相邻的单核苷酸多态性(SNP)推断法医短串联重复序列(STR)基因座的基因型,使用推断出的图谱搜索部分STR匹配。我们比较了推断图谱和实际图谱中部分匹配数量的分布,发现二者非常一致。尽管使用实际法医STR图谱进行Arizona搜索的可能性有限,但此类搜索试图回答的问题可以通过在越来越大的SNP数据库中基于填充的Arizona搜索来提出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/8ac6b3f007ea/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/8b786041d8f4/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/efd240d1d33c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/96c8db1da7c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/a253dbc78efc/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/8ac6b3f007ea/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/8b786041d8f4/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/efd240d1d33c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/96c8db1da7c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/a253dbc78efc/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e3/10845060/8ac6b3f007ea/gr4.jpg

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本文引用的文献

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Evaluation of a SNP-STR haplotype panel for forensic genotype imputation.用于法医基因型推断的单核苷酸多态性-短串联重复序列单倍型面板评估
Forensic Sci Int Genet. 2023 Jan;62:102801. doi: 10.1016/j.fsigen.2022.102801. Epub 2022 Oct 17.
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Associations between forensic loci and expression levels of neighboring genes may compromise medical privacy.
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Genes (Basel). 2021 Dec 10;12(12):1968. doi: 10.3390/genes12121968.
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Front Genet. 2020 Aug 6;11:884. doi: 10.3389/fgene.2020.00884. eCollection 2020.
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Statistical Detection of Relatives Typed with Disjoint Forensic and Biomedical Loci.基于不相关法医和生物医学位点的亲属关联的统计检测。
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