Evidence map›Paper›PMID 32677890›Full record

ArticleBMC genetics2020

Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek's disease using next generation sequencing.

Hao Bai, Yanghua He, Yi Ding, Qin Chu, Ling Lian, Eliyahu M Heifetz, Ning Yang, Hans H Cheng, Huanmin Zhang, Jilan Chen and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Genome-Wide Analysis of Copy Number Variation in Vietnamese Local Chickens.Animals : an open access journal from MDPI · 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

11 authors at 7 institutions in 3 countries.

Hao BaiJoint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou, 225009, China.ORCID 0000-0002-5738-4186
Yanghua HeDepartment of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Yi DingDepartment of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Qin ChuDepartment of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Ling LianDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Eliyahu M HeifetzFaculty of Health Sciences, Jerusalem College of Technology, 9116001, Jerusalem, Israel.
Ning YangDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Hans H ChengUSDA, Agricultural Research Service, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA.
Huanmin ZhangUSDA, Agricultural Research Service, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA.
Jilan ChenKey Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Jiuzhou SongDepartment of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA. songj88@umd.edu.
Agricultural Research Service · USChina Agricultural University · CNChinese Academy of Agricultural Sciences · CNUniversity of Maryland, College Park · USBeijing Academy of Agricultural and Forestry Sciences · CNJerusalem College of Technology · ILUniversity of Hawaiʻi at Mānoa · US

Funding

National Nanotechnology Initiative 2010-65205-20588
6 · The paper itself

Abstract

backgroundMarek's disease (MD) is a highly neoplastic disease primarily affecting chickens, and remains as a chronic infectious disease that threatens the poultry industry. Copy number variation (CNV) has been examined in many species and is recognized as a major source of genetic variation that directly contributes to phenotypic variation such as resistance to infectious diseases. Two highly inbred chicken lines, 6

resultsIn the present study, to unravel the potential genetic mechanisms underlying resistance to MD, we performed a genome-wide CNV detection using next generation sequencing on the inbred chicken lines with the assistance of CNVnator. As a result, a total of 1649 CNV regions (CNVRs) were successfully identified after merging all the nine datasets, of which 90 CNVRs were overlapped across all the chicken lines. Within these shared regions, 1360 harbored genes were identified. In addition, 55 and 44 CNVRs with 62 and 57 harbored genes were specifically identified in line 6

conclusionsOur findings provide valuable insights for understanding the genetic mechanism of resistance to MD and the identified gene and pathway could be considered as the subject of further functional characterization.

Indexed as

DNA Copy Number VariationsAnimalsChickensDisease ResistanceGene OntologyHigh-Throughput Nucleotide SequencingMarek DiseaseChickenCopy number variationInbred linesMarek’s diseaseNext generation sequencingRecombinant congenic strains

Identifiers

PMID32677890
PMCPMC7364486
OpenAlexW3043203374

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.