Evidence map›Paper›PMID 33531649›Full record

ArticleScientific reports2021

Genomic scans for selective sweeps through haplotype homozygosity and allelic fixation in 14 indigenous sheep breeds from Middle East and South Asia.

Sirous Eydivandi, Mahmoud Amiri Roudbar, Mohammad Osman Karimi, Goutam Sahana

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Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Identification of Candidate Genes Associated with Growth Traits inInternational journal of molecular sciences · 2026
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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

4 authors at 4 institutions in 3 countries.

Sirous EydivandiDepartment of Animal Science, Behbahan Branch, Islamic Azad University, Behbahan, Iran. sirous.eidivandi@qgg.au.dk.
Mahmoud Amiri RoudbarDepartment of Animal Science, Safiabad-Dezful Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Dezful, Iran.
Mohammad Osman KarimiDepartment of Animal Science, Faculty of Agriculture, Herat University, Herat, Afghanistan.
Goutam SahanaCenter for Quantitative Genetics and Genomics, Faculty of Technical Sciences, Aarhus University, 8830, Tjele, Denmark.
Aarhus University · DKAgricultural Research & Education Organization · IRHerat University · AFIslamic Azad University, Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance and productivity of livestock have consistently improved by natural and artificial selection over the centuries. Both these selections are expected to leave patterns on the genome and lead to changes in allele frequencies, but natural selection has played the major role among indigenous populations. Detecting selective sweeps in livestock may assist in understanding the processes involved in domestication, genome evolution and discovery of genomic regions associated with economically important traits. We investigated population genetic diversity and selection signals in this study using SNP genotype data of 14 indigenous sheep breeds from Middle East and South Asia, including six breeds from Iran, namely Iranian Balochi, Afshari, Moghani, Qezel, Zel, and Lori-Bakhtiari, three breeds from Afghanistan, namely Afghan Balochi, Arabi, and Gadik, three breeds from India, namely Indian Garole, Changthangi, and Deccani, and two breeds from Bangladesh, namely Bangladeshi Garole and Bangladesh East. The SNP genotype data were generated by the Illumina OvineSNP50 Genotyping BeadChip array. To detect genetic diversity and population structure, we used principal component analysis (PCA), admixture, phylogenetic analyses, and Runs of homozygosity. We applied four complementary statistical tests, F

Indexed as

DomesticationSelection, GeneticAcclimatizationAfghanistanAnimalsBangladeshDisease ResistanceFemaleHaplotypesIndiaIranMalePolymorphism, Single NucleotideSheep, Domestic

Identifiers

PMID33531649
PMCPMC7854752
OpenAlexW3128665611

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LicenceCC BY
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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.