Suppr超能文献

祖先重组图中等待距离的分布。

The distribution of waiting distances in ancestral recombination graphs.

机构信息

Center for Computational Biology, University of California, Berkeley, CA 94720, United States of America.

Department of Statistics, University of California, Berkeley, CA 94720, United States of America; Computer Science Division, University of California, Berkeley, CA 94720, United States of America; Chan Zuckerberg Biohub, San Francisco, CA 94158, United States of America.

出版信息

Theor Popul Biol. 2021 Oct;141:34-43. doi: 10.1016/j.tpb.2021.06.003. Epub 2021 Jun 26.

Abstract

The ancestral recombination graph (ARG) contains the full genealogical information of the sample, and many population genetic inference problems can be solved using inferred or sampled ARGs. In particular, the waiting distance between tree changes along the genome can be used to make inference about the distribution and evolution of recombination rates. To this end, we here derive an analytic expression for the distribution of waiting distances between tree changes under the sequentially Markovian coalescent model and obtain an accurate approximation to the distribution of waiting distances for topology changes. We use these results to show that some of the recently proposed methods for inferring sequences of trees along the genome provide strongly biased distributions of waiting distances. In addition, we provide a correction to an undercounting problem facing all available ARG inference methods, thereby facilitating the use of ARG inference methods to estimate temporal changes in the recombination rate.

摘要

祖先重组图(ARG)包含了样本的完整谱系信息,并且可以使用推断或采样的 ARG 来解决许多群体遗传推断问题。特别是,沿着基因组的树变化之间的等待距离可用于推断重组率的分布和演化。为此,我们在此推导出了顺序马尔可夫凝聚模型下树变化之间等待距离分布的解析表达式,并获得了拓扑变化等待距离分布的精确逼近。我们使用这些结果表明,最近提出的一些用于推断基因组中树序列的方法提供了强烈偏向的等待距离分布。此外,我们还解决了所有可用的 ARG 推断方法都面临的一个计数不足问题,从而促进了使用 ARG 推断方法来估计重组率的时间变化。

相似文献

1
The distribution of waiting distances in ancestral recombination graphs.祖先重组图中等待距离的分布。
Theor Popul Biol. 2021 Oct;141:34-43. doi: 10.1016/j.tpb.2021.06.003. Epub 2021 Jun 26.
3
Bayesian inference of ancestral recombination graphs.贝叶斯推断祖先重组图。
PLoS Comput Biol. 2022 Mar 9;18(3):e1009960. doi: 10.1371/journal.pcbi.1009960. eCollection 2022 Mar.
5
Genome-wide inference of ancestral recombination graphs.全基因组祖先重组图推断
PLoS Genet. 2014 May 15;10(5):e1004342. doi: 10.1371/journal.pgen.1004342. eCollection 2014.
8
Inference of Ancestral Recombination Graphs Using ARGweaver.使用 ARGweaver 推断祖先重组图谱。
Methods Mol Biol. 2020;2090:231-266. doi: 10.1007/978-1-0716-0199-0_10.
9
Recoverability of ancestral recombination graph topologies.祖先重组图谱拓扑结构的可恢复性。
Theor Popul Biol. 2023 Dec;154:27-39. doi: 10.1016/j.tpb.2023.07.004. Epub 2023 Aug 5.

引用本文的文献

7
Inference and applications of ancestral recombination graphs.祖先重组图的推断与应用
Nat Rev Genet. 2025 Jan;26(1):47-58. doi: 10.1038/s41576-024-00772-4. Epub 2024 Sep 30.

本文引用的文献

4
Inferring whole-genome histories in large population datasets.在大型人群数据集推断全基因组历史。
Nat Genet. 2019 Sep;51(9):1330-1338. doi: 10.1038/s41588-019-0483-y. Epub 2019 Sep 2.
7
Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes.大样本量的高效合并模拟和谱系分析
PLoS Comput Biol. 2016 May 4;12(5):e1004842. doi: 10.1371/journal.pcbi.1004842. eCollection 2016 May.
9
A renewal theory approach to IBD sharing.一种用于炎症性肠病共享的更新理论方法。
Theor Popul Biol. 2014 Nov;97:35-48. doi: 10.1016/j.tpb.2014.08.002. Epub 2014 Aug 18.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验