Evidence map›Paper›PMID 38927752›Full record

ArticleGenes2024

Establishment and Application of a Novel Genetic Detection Panel for SNPs in Mongolian Gerbils.

Yafang Guo, Yutong Cui, Minghe Sun, Xiao Zhu, Yilang Zhang, Jing Lu, Changlong Li, Jianyi Lv, Meng Guo, Xin Liu and 3 more

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Yafang GuoSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Yutong CuiSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Minghe SunSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Xiao ZhuSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Yilang ZhangSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Jing LuSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Changlong LiSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Jianyi LvSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Meng GuoSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Xin LiuSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Zhenwen ChenSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Xiaoyan DuSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-4030-7299
Xueyun HuoSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.

Funding

the National key research and development program for young scientists No. 2021YFF0703200the National Natural Science Foundation of China No. 32170540
6 · The paper itself

Abstract

The Mongolian gerbil is a distinctive experimental animal in China, as its genetic qualities possess significant value in the field of medical biology research. Here, we aimed to establish an economical and efficient panel for genetic quality detection in Mongolian gerbils using single-nucleotide polymorphism (SNP) markers. To search for SNPs, we conducted whole-genome sequencing (WGS) in 40 Mongolian gerbils from outbred populations. Reliable screening criteria were established to preliminarily select SNPs with a wide genome distribution and high levels of polymorphism. Subsequently, a multiple-target regional capture detection system based on second-generation sequencing was developed for SNP genotyping. Based on the results of WGS, 219 SNPs were preliminarily selected, and they were established and optimized in a multiple-amplification system that included 206 SNP loci by genotyping three outbred populations. PopGen.32 analysis revealed that the average effective allele number, Shannon index, observed heterozygosity, expected heterozygosity, average heterozygosity, polymorphism information content, and other population genetic parameters of the Capital Medical University (CMU) gerbils were the highest, followed by those of Zhejiang gerbils and Dalian gerbils. Through scientific screening and optimization, we successfully established a novel, robust, and cost-effective genetic detection system for Mongolian gerbils by utilizing SNP markers for the first time.

Indexed as

GerbillinaePolymorphism, Single NucleotideAnimalsChinaGenetics, PopulationGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingWhole Genome Sequencinggenetic quality controlMongolian gerbilssecond-generation sequencingSNP

Identifiers

PMID38927752
PMCPMC11202554

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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.