Evidence map›Paper›PMID 35342608›Full record

ArticleEcology and evolution2022

Haplotype analysis of the mitochondrial DNA

Patrick Baenyi Simon, Joseph Owino Junga, Getinet Mekuriaw Tarekegn, Eunice Machuka, Christian Keambou Tiambo, Dorine Kabange, Katunga Musale M Dieudinné, Roger Vumilia Kizungu, Joel Winyo Ochieng, Roger Pelle

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Haplotype analysis of the mitochondrial DNAEcology and evolution · 2022
    Article
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

10 authors.

Patrick Baenyi SimonDepartment of Animal Production Université Evangélique en Afrique Bukavu Democratic Republic of Congo.ORCID https://orcid.org/0000-0002-3831-7316
Joseph Owino JungaDepartment of Animal Production University of Nairobi Nairobi Kenya.
Getinet Mekuriaw TarekegnBioscience Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub Nairobi Kenya.ORCID https://orcid.org/0000-0001-7221-2473
Eunice MachukaBioscience Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub Nairobi Kenya.ORCID https://orcid.org/0000-0002-1142-3442
Christian Keambou TiamboCentre for Tropical Livestock Genetics and Health (CTLGH) - ILRI Nairobi Kenya.ORCID https://orcid.org/0000-0002-7401-753X
Dorine KabangeDepartment of Veterinary Medicine Université de Lubumbashi Lubumbashi Democratic Republic of Congo.
Katunga Musale M DieudinnéInstitut National d'Etudes et des Recherches Agronomiques INERA Mulungu Bukavu Democratic Republic of Congo.
Roger Vumilia KizunguInstitut National d'Etudes et des Recherches Agronomiques INERA, Gombe Kinshasa Kinshasa Democratic Republic of Congo.ORCID https://orcid.org/0000-0002-1051-6890
Joel Winyo OchiengDepartment of Animal Production University of Nairobi Nairobi Kenya.ORCID https://orcid.org/0000-0003-4186-1010
Roger PelleBioscience Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub Nairobi Kenya.ORCID https://orcid.org/0000-0003-1053-085X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed at assessing haplotype diversity and population dynamics of three Congolese indigenous goat populations that included Kasai goat (KG), small goat (SG), and dwarf goat (DG) of the Democratic Republic of Congo (DRC). The 1169 bp

Indexed as

Democratic Republic of Congogenetic diversityhaplogroupmismatch distribution patternpopulation expansion

Identifiers

PMID35342608
PMCPMC8928878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.