Evidence map›Paper›PMID 29931083›Full record

ArticleMolecular biology and evolution2018

Loter: A Software Package to Infer Local Ancestry for a Wide Range of Species.

Thomas Dias-Alves, Julien Mairal, Michael G B Blum

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Recomb-Mix: fast and accurate local ancestry inference.Bioinformatics (Oxford, England) · 2025
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Thomas Dias-AlvesCNRS, TIMC-IMAG UMR 5525, Univ. Grenoble Alpes, Grenoble, France.
Julien MairalCNRS, Institute of Engineering Univ. Grenoble Alpes, LJK, Univ. Grenoble Alpes, Inria, Grenoble, France.
Michael G B BlumCNRS, TIMC-IMAG UMR 5525, Univ. Grenoble Alpes, Grenoble, France.

Funding

European Research Council
6 · The paper itself

Abstract

Admixture between populations provides opportunity to study biological adaptation and phenotypic variation. Admixture studies rely on local ancestry inference for admixed individuals, which consists of computing at each locus the number of copies that originate from ancestral source populations. Existing software packages for local ancestry inference are tuned to provide accurate results on human data and recent admixture events. Here, we introduce Loter, an open-source software package that does not require any biological parameter besides haplotype data in order to make local ancestry inference available for a wide range of species. Using simulations, we compare the performance of Loter to HAPMIX, LAMP-LD, and RFMix. HAPMIX is the only software severely impacted by imperfect haplotype reconstruction. Loter is the less impacted software by increasing admixture time when considering simulated and admixed human genotypes. For simulations of admixed Populus genotypes, Loter and LAMP-LD are robust to increasing admixture times by contrast to RFMix. When comparing length of reconstructed and true ancestry tracts, Loter and LAMP-LD provide results whose accuracy is again more robust than RFMix to increasing admixture times. We apply Loter to individuals resulting from admixture between Populus trichocarpa and Populus balsamifera and lengths of ancestry tracts indicate that admixture took place ∼100 generations ago. We expect that providing a rapid and parameter-free software for local ancestry inference will make more accessible genomic studies about admixture processes.

Indexed as

Genetic TechniquesSoftwareHaplotypesHumansPopulusadmixturelocal ancestryoptimizationpopulation genetics

Identifiers

PMID29931083
PMCPMC6107063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.