Evidence map›Paper›PMID 30462157›Full record

ArticleBriefings in bioinformatics2020

Dating admixture events is unsolved problem in multi-way admixed populations.

Emile R Chimusa, Joel Defo, Prisca K Thami, Denis Awany, Delesa D Mulisa, Imane Allali, Hassan Ghazal, Ahmed Moussa, Gaston K Mazandu

Erratum issuedAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Emile R ChimusaDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.ORCID 0000-0001-8846-2047
Joel DefoDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Prisca K ThamiDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Denis AwanyDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Delesa D MulisaDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Imane AllaliDivision of Computational Biology, Department of Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Hassan GhazalUniversity Mohammed First, B.P.524 Oujda, Morocco.
Ahmed MoussaAbdelmalek Essaadi University ENSA, Tangier, Morocco.
Gaston K MazanduDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.

Funding

H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
Sickle Africa Data Coordinating CenterU24HL135600 · NHLBI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA, WONKAM, AMBROISE · 2017 to 2025
$8.6M
Return of a Fragile X Syndrome genetic result: exploring the feedback of individual genetic findings and their relation to traditional knowledge in a village in Cameroon.U54HG009790 · NHGRI · UNIVERSITY OF CAPE TOWN · PI WONKAM, AMBROISE · 2017 to 2021
$2.5M
Hearing Impairment Genetics Studies in Africa (HI-GENES Africa)U01HG009716 · NHGRI · UNIVERSITY OF CAPE TOWN · PI WONKAM, AMBROISE · 2017 to 2021
$1.2M
Exploring Perspectives on Genomics and Sickle Cell Public Health InterventionsU01HG007459 · NHGRI · UNIVERSITY OF CAPE TOWN · PI WONKAM, AMBROISE · 2013 to 2016
$622k
NHGRI NIH HHS U01 HG007459NHGRI NIH HHS U01 HG009716NHGRI NIH HHS U24 HG006941NHGRI NIH HHS U54 HG009790NHLBI NIH HHS U24 HL135600Wellcome Trust
6 · The paper itself

Abstract

Advances in human sequencing technologies, coupled with statistical and computational tools, have fostered the development of methods for dating admixture events. These methods have merits and drawbacks in estimating admixture events in multi-way admixed populations. Here, we first provide a comprehensive review and comparison of current methods pertinent to dating admixture events. Second, we assess various admixture dating tools. We do so by performing various simulations. Third, we apply the top two assessed methods to real data of a uniquely admixed population from South Africa. Results reveal that current dating admixture models are not sufficiently equipped to estimate ancient admixtures events and to identify multi-faceted admixture events in complex multi-way admixed populations. We conclude with a discussion of research areas where further work on dating admixture-based methods is needed.

Indexed as

admixturedating admixture eventgenomeproxy ancestry

Identifiers

PMID30462157
PMCPMC10233275

What OpenQuestion holds

Textmetadata
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Registered trials

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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.