A detailed characteristics of bias associated with long runs of homozygosity identification based on medium density SNP microarrays.

Journal of Genomics Pub Date : 2020-04-07 eCollection Date: 2020-01-01 DOI:10.7150/jgen.39147
Tomasz Szmatoła, Artur Gurgul, Igor Jasielczuk, Weiwei Fu, Katarzyna Ropka-Molik
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引用次数: 3

Abstract

In the present study, runs of homozygosity (ROH) detected with the use of a standard bovine 54k single nucleotide polymorphism (SNP) genotyping assay and two different ROH detection approaches, based on 50 (M1) or 15 (M2) consecutive SNPs, were compared with results of whole genome sequencing. Both microarray-based methods accurately recognised medium-sized ROH, however, it was found that M2 method seemed to better than M1 identify short ROH, but highly overestimated their number, leading to numerous false positive calls. Moreover, long ROH identified with microarray data tended to break into shorter segments in sequencing data because of the presence of regions with high heterozygosity within the ROH sequences. This may indicate, that these long ROH are formed by closely positioned shorter homozygous segments that may be of older origin or may be created by two similar but not identical haplotypes, showing minor internal recombination signs. Such finding also suggests that at least some of the results of previous studies in regard to long ROH may be biased leading to inaccurate estimations of genomes autozygosity via ROH classification into length categories.

Abstract Image

Abstract Image

基于中密度SNP微阵列的长期纯合性鉴定的详细特征。
在本研究中,使用标准牛54k单核苷酸多态性(SNP)基因分型法和基于50 (M1)或15 (M2)个连续SNP的两种不同的ROH检测方法检测纯合子(ROH),并与全基因组测序结果进行了比较。两种基于微阵列的方法都能准确识别中等大小的ROH,然而,我们发现M2方法似乎比M1方法更好地识别短型ROH,但高度高估了它们的数量,导致大量误报。此外,用微阵列数据鉴定的较长的ROH在测序数据中往往会断裂成较短的片段,因为在ROH序列中存在高杂合性的区域。这可能表明,这些长ROH是由位置紧密的较短的纯合片段形成的,这些纯合片段可能来自更古老的起源,或者可能是由两个相似但不相同的单倍型产生的,表现出较小的内部重组迹象。这一发现还表明,至少一些先前关于长ROH的研究结果可能存在偏差,导致通过将ROH分类为长度类别来准确估计基因组自合性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
11
审稿时长
12 weeks
期刊介绍: Journal of Genomics publishes papers of high quality in all areas of gene, genetics, genomics, proteomics, metabolomics, DNA/RNA, computational biology, bioinformatics, and other relevant areas of research and application. Articles published by the journal are rigorously peer-reviewed. Types of articles include: Research paper, Short research communication, Review or mini-reviews, Commentary, Database, Software.
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