Evidence map›Paper›PMID 30283493›Full record

ArticleFrontiers in genetics2018

Genome-Wide and Trait-Specific Markers: A Perspective in Designing Conservation Programs.

Hao Sun, Babatunde Shittu Olasege, Zhong Xu, Qingbo Zhao, Peipei Ma, Qishan Wang, Shaoxiong Lu, Yuchun Pan

Abstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Hao SunDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Babatunde Shittu OlasegeDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Zhong XuDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qingbo ZhaoDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Peipei MaDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qishan WangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Shaoxiong LuCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Yuchun PanDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, breed conservation has entered the genomics era and it is imperative to develop novel theory to design the breeding schemes of the conservation populations by using the genomic information. The genome-wide markers have been regarded as a useful strategy to maintain genetic diversity. However, using the genome-wide SNPs to optimize diversity might not be optimal for some specific loci associated with specific-traits. Using the sequencing data of the conserved population of the Saba pig breed, we demonstrated that the conservation program designed by using the genome-wide SNPs might result in the loss of the genetic diversity of the reproduction trait. We suggested an idea of using phylogenetic tree to select valuable individuals for conservation program based on the genome-wide and trait-specific makers. The selection rule was to make the selected samples to be widely distributed as much as possible in both the genome-wide and trait-specific phylogenetic trees.

Indexed as

conservationpopulation structureQTLSNPtrait-specific

Identifiers

PMID30283493
PMCPMC6156438

What OpenQuestion holds

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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.