Evidence map›Paper›PMID 30221000›Full record

ArticleJournal of animal science and biotechnology2018

Genetic assessment of inbred chicken lines indicates genomic signatures of resistance to Marek's disease.

Lingyang Xu, Yanghua He, Yi Ding, George E Liu, Huanmin Zhang, Hans H Cheng, Robert L Taylor, Jiuzhou Song

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Lingyang Xu *1Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742 USA.
Yanghua He *1Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742 USA.
Yi Ding1Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742 USA.
George E Liu2Animal Genomics and Improvement Laboratory, U.S. Department of Agriculture-Agricultural Research Services, Beltsville, MD 20705 USA.
Huanmin Zhang4United States Department of Agriculture-Agriculture Research Service (ARS), Avian Disease and Oncology Laboratory, East Lansing, MI 48823 USA.
Hans H Cheng4United States Department of Agriculture-Agriculture Research Service (ARS), Avian Disease and Oncology Laboratory, East Lansing, MI 48823 USA.
Robert L Taylor5Animal and Nutritional Sciences, Davis College of Agriculture, West Virginia University, Morgantown, WV 26506 USA.
Jiuzhou Song1Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742 USA.
University of Maryland, College Park · USUnited States Department of Agriculture · USAgricultural Research Service · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMarek's disease (MD) is a highly contagious pathogenic and oncogenic disease primarily affecting chickens. However, the mechanisms of genetic resistance for MD are complex and not fully understood. MD-resistant line 6

resultsWe investigated genetic structure and genomic signatures across the genome, including the line 6

conclusionsOur findings offer valuable insights for understanding the genetic mechanism of resistance to MD and the identified genes could be considered as candidate biomarkers in further evaluation.

Indexed as

Genetic structureGenomic signatureHomozygosityMarek’s diseaseRecombinant Congenic Strains (RCS)

Identifiers

PMID30221000
PMCPMC6136188
OpenAlexW2885338017

What OpenQuestion holds

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LicenceCC BY
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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.