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鉴定 SNP 与同胞家系信息之间的孟德尔不一致性。

Identification of Mendelian inconsistencies between SNP and pedigree information of sibs.

机构信息

Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, 8200 AB Lelystad, The Netherlands.

出版信息

Genet Sel Evol. 2011 Oct 11;43(1):34. doi: 10.1186/1297-9686-43-34.

Abstract

BACKGROUND

Using SNP genotypes to apply genomic selection in breeding programs is becoming common practice. Tools to edit and check the quality of genotype data are required. Checking for Mendelian inconsistencies makes it possible to identify animals for which pedigree information and genotype information are not in agreement.

METHODS

Straightforward tests to detect Mendelian inconsistencies exist that count the number of opposing homozygous marker (e.g. SNP) genotypes between parent and offspring (PAR-OFF). Here, we develop two tests to identify Mendelian inconsistencies between sibs. The first test counts SNP with opposing homozygous genotypes between sib pairs (SIBCOUNT). The second test compares pedigree and SNP-based relationships (SIBREL). All tests iteratively remove animals based on decreasing numbers of inconsistent parents and offspring or sibs. The PAR-OFF test, followed by either SIB test, was applied to a dataset comprising 2,078 genotyped cows and 211 genotyped sires. Theoretical expectations for distributions of test statistics of all three tests were calculated and compared to empirically derived values. Type I and II error rates were calculated after applying the tests to the edited data, while Mendelian inconsistencies were introduced by permuting pedigree against genotype data for various proportions of animals.

RESULTS

Both SIB tests identified animal pairs for which pedigree and genomic relationships could be considered as inconsistent by visual inspection of a scatter plot of pairwise pedigree and SNP-based relationships. After removal of 235 animals with the PAR-OFF test, SIBCOUNT (SIBREL) identified 18 (22) additional inconsistent animals.Seventeen animals were identified by both methods. The numbers of incorrectly deleted animals (Type I error), were equally low for both methods, while the numbers of incorrectly non-deleted animals (Type II error), were considerably higher for SIBREL compared to SIBCOUNT.

CONCLUSIONS

Tests to remove Mendelian inconsistencies between sibs should be preceded by a test for parent-offspring inconsistencies. This parent-offspring test should not only consider parent-offspring pairs based on pedigree data, but also those based on SNP information. Both SIB tests could identify pairs of sibs with Mendelian inconsistencies. Based on type I and II error rates, counting opposing homozygotes between sibs (SIBCOUNT) appears slightly more precise than comparing genomic and pedigree relationships (SIBREL) to detect Mendelian inconsistencies between sibs.

摘要

背景

使用 SNP 基因型在育种计划中进行基因组选择已成为常见做法。需要编辑和检查基因型数据质量的工具。检查孟德尔不一致性可以识别出与系谱信息和基因型信息不一致的动物。

方法

存在简单的测试来检测孟德尔不一致性,这些测试计算父母与后代之间相反的纯合标记(例如 SNP)基因型的数量(PAR-OFF)。在这里,我们开发了两种用于识别同胞之间孟德尔不一致性的测试。第一个测试计算同胞对之间具有相反纯合基因型的 SNP 数量(SIBCOUNT)。第二个测试比较系谱和基于 SNP 的关系(SIBREL)。所有测试都基于不断减少的不一致父母和后代或同胞的数量,迭代地删除动物。在对包含 2078 头已基因分型的奶牛和 211 头已基因分型的公牛的数据集应用 PAR-OFF 测试后,应用了这两个测试。计算了所有三个测试的测试统计量分布的理论预期,并与经验得出的值进行了比较。在编辑数据后应用测试时,计算了 I 型和 II 型错误率,同时通过对不同比例的动物的系谱数据与基因型数据进行置换,引入了孟德尔不一致性。

结果

两个 SIB 测试都通过散点图观察配对系谱和基于 SNP 的关系,识别了可以认为是不一致的动物对。在使用 PAR-OFF 测试删除 235 只动物后,SIBCOUNT(SIBREL)又识别出 18(22)个额外的不一致动物。两种方法都鉴定了 17 只动物。两种方法的错误删除动物数量(I 型错误)都相等低,而错误未删除动物数量(II 型错误),SIBREL 明显高于 SIBCOUNT。

结论

在进行同胞之间的孟德尔不一致性测试之前,应该先进行亲代-后代不一致性测试。这种亲代-后代测试不仅应考虑基于系谱数据的亲代-后代对,还应考虑基于 SNP 信息的亲代-后代对。两种 SIB 测试都可以识别出具有孟德尔不一致性的同胞对。基于 I 型和 II 型错误率,计数同胞之间的相反纯合子(SIBCOUNT)似乎比比较基因组和系谱关系(SIBREL)更能准确检测同胞之间的孟德尔不一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d031/3377921/5330a3aff5c7/1297-9686-43-34-1.jpg

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