Assessing the limits of local ancestry inference from small reference panels.

Oliveira, Sandra; Marchi, Nina; Excoffier, Laurent (2024). Assessing the limits of local ancestry inference from small reference panels. (In Press). Molecular ecology resources(e13981), e13981. Wiley 10.1111/1755-0998.13981

[img]
Preview
Text
Molecular_Ecology_Resources_-_2024_-_Oliveira_-_Assessing_the_limits_of_local_ancestry_inference_from_small_reference.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND).

Download (2MB) | Preview

Admixture is a common biological phenomenon among populations of the same or different species. Identifying admixed tracts within individual genomes can provide valuable information to date admixture events, reconstruct ancestry-specific demographic histories, or detect adaptive introgression, genetic incompatibilities, as well as regions of the genomes affected by (associative-) overdominance. Although many local ancestry inference (LAI) methods have been developed in the last decade, their performance was accessed using large reference panels, which are rarely available for non-model organisms or ancient samples. Moreover, the demographic conditions for which LAI becomes unreliable have not been explicitly outlined. Here, we identify the demographic conditions for which local ancestries can be best estimated using very small reference panels. Furthermore, we compare the performance of two LAI methods (RFMix and MOSAIC) with the performance of a newly developed approach (simpLAI) that can be used even when reference populations consist of single individuals. Based on simulations of various demographic models, we also determine the limits of these LAI tools and propose post-painting filtering steps to reduce false-positive rates and improve the precision and accuracy of the inferred admixed tracts. Besides providing a guide for using LAI, our work shows that reasonable inferences can be obtained from a single diploid genome per reference under demographic conditions that are not uncommon among past human groups and non-model organisms.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Population Genetics

UniBE Contributor:

Da Silva Oliveira, Sandra Raquel, Marchi, Nina, Excoffier, Laurent

Subjects:

500 Science > 570 Life sciences; biology
000 Computer science, knowledge & systems

ISSN:

1755-0998

Publisher:

Wiley

Language:

English

Submitter:

Pubmed Import

Date Deposited:

23 May 2024 09:15

Last Modified:

24 May 2024 00:16

Publisher DOI:

10.1111/1755-0998.13981

PubMed ID:

38775247

Uncontrolled Keywords:

MOSAIC RFMix admixture local ancestry inference simpLAI

BORIS DOI:

10.48350/197034

URI:

https://boris.unibe.ch/id/eprint/197034

Actions (login required)

Edit item Edit item
Provide Feedback