Evidence map›Paper›PMID 39063078›Full record

ArticleInternational journal of molecular sciences2024

Whole-Genome Resequencing Analysis of the

Huaibing Yao, Zhangyuan Pan, Wanpeng Ma, Zhongkai Zhao, Zhanqiang Su, Jie Yang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
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

6 authors.

Huaibing YaoKey Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.ORCID 0000-0001-6294-2712
Zhangyuan PanInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Wanpeng MaCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Zhongkai ZhaoKey Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Zhanqiang SuCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Jie YangKey Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Funding

he National Key Research and Development Projects of China 2019YFC1606103the Key Technology Research and Development Program in Xinjiang Uygur Autonomous Region 2018B01003
6 · The paper itself

Abstract

Milk production is an important trait that influences the economic value of camels. However, the genetic regulatory mechanisms underlying milk production in camels have not yet been elucidated. We aimed to identify candidate molecular markers that affect camel milk production. We classified Junggar Bactrian camels (9-10-year-old) as low-yield (<1.96 kg/d) or high-yield (>2.75 kg/d) based on milk production performance. Milk fat (5.16 ± 0.51 g/100 g) and milk protein (3.59 ± 0.22 g/100 g) concentrations were significantly lower in high-yielding camels than those in low-yielding camels (6.21 ± 0.59 g/100 g, and 3.93 ± 0.27 g/100 g, respectively) (

Indexed as

CamelusMilkPolymorphism, Single NucleotideWhole Genome SequencingAnimalsFemaleGenomeLactationMutationQuantitative Trait Lociassociation analysisBactrian camelgenomic analysismilk production traitsSNP

Identifiers

PMID39063078
PMCPMC11277051

What OpenQuestion holds

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LicenceCC BY
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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.