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利用基于群体的似然比检验定义了 7000 万头牛变体的祖先等位基因。

Ancestral alleles defined for 70 million cattle variants using a population-based likelihood ratio test.

机构信息

CSIRO, Agriculture & Food, St. Lucia, QLD, 4067, Australia.

AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, 3083, Australia.

出版信息

Genet Sel Evol. 2024 Feb 6;56(1):11. doi: 10.1186/s12711-024-00879-6.

Abstract

BACKGROUND

The study of ancestral alleles provides insights into the evolutionary history, selection, and genetic structures of a population. In cattle, ancestral alleles are widely used in genetic analyses, including the detection of signatures of selection, determination of breed ancestry, and identification of admixture. Having a comprehensive list of ancestral alleles is expected to improve the accuracy of these genetic analyses. However, the list of ancestral alleles in cattle, especially at the whole genome sequence level, is far from complete. In fact, the current largest list of ancestral alleles (~ 42 million) represents less than 28% of the total number of detected variants in cattle. To address this issue and develop a genomic resource for evolutionary studies, we determined ancestral alleles in cattle by comparing prior derived whole-genome sequence variants to an out-species group using a population-based likelihood ratio test.

RESULTS

Our study determined and makes available the largest list of ancestral alleles in cattle to date (70.1 million) and includes 2.3 million on the X chromosome. There was high concordance (97.6%) of the determined ancestral alleles with those from previous studies when only high-probability ancestral alleles were considered (29.8 million positions) and another 23.5 million high-confidence ancestral alleles were novel, expanding the available reference list to improve the accuracies of genetic analyses involving ancestral alleles. The high concordance of the results with previous studies implies that our approach using genomic sequence variants and a likelihood ratio test to determine ancestral alleles is appropriate.

CONCLUSIONS

Considering the high concordance of ancestral alleles across studies, the ancestral alleles determined in this study including those not previously listed, particularly those with high-probability estimates, may be used for further genetic analyses with reasonable accuracy. Our approach that used predetermined variants in species and the likelihood ratio test to determine ancestral alleles is applicable to other species for which sequence level genotypes are available.

摘要

背景

研究祖先等位基因可以深入了解一个种群的进化历史、选择和遗传结构。在牛中,祖先等位基因广泛用于遗传分析,包括检测选择信号、确定品种起源和鉴定杂交。拥有全面的祖先等位基因列表有望提高这些遗传分析的准确性。然而,牛的祖先等位基因列表,特别是在全基因组序列水平上,还远远不够完整。事实上,目前最大的祖先等位基因列表(约 4200 万)仅代表牛中检测到的变异总数的不到 28%。为了解决这个问题,并开发一个用于进化研究的基因组资源,我们通过使用基于群体的似然比检验将先前获得的全基因组序列变异与一个外群进行比较,来确定牛中的祖先等位基因。

结果

我们的研究确定了迄今为止牛中最大的祖先等位基因列表(7010 万),其中包括 X 染色体上的 230 万个。当只考虑高概率祖先等位基因(2980 万个位置)时,确定的祖先等位基因与先前研究的结果高度一致(97.6%),另外还有 2350 万个高置信度的祖先等位基因是新的,扩大了可用的参考列表,以提高涉及祖先等位基因的遗传分析的准确性。与先前研究结果的高度一致性表明,我们使用基因组序列变异和似然比检验来确定祖先等位基因的方法是合适的。

结论

考虑到不同研究中祖先等位基因的高度一致性,本研究中确定的祖先等位基因,包括以前未列出的那些,特别是那些具有高概率估计的等位基因,可能以合理的准确性用于进一步的遗传分析。我们使用物种中的预定变异和似然比检验来确定祖先等位基因的方法适用于其他具有可用序列水平基因型的物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67a5/10848479/dcc415e2343c/12711_2024_879_Fig1_HTML.jpg

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