Evidence map›Paper›PMID 40429742›Full record

ArticleInternational journal of molecular sciences2025

Evaluation of Low-Coverage Sequencing Strategies for Whole-Genome Imputation in Pacific Abalone

Chengxia Fei, Shoudu Zhang, Xiangrui Chen, Junyu Liu, Wenzhu Peng, Guofan Zhang, Weiwei You, Fucun Wu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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

8 authors.

Chengxia FeiSchool of Marine Sciences, Ningbo University, Ningbo 315211, China.
Shoudu ZhangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266000, China.ORCID 0000-0002-4570-0073
Xiangrui ChenSchool of Marine Sciences, Ningbo University, Ningbo 315211, China.ORCID 0000-0003-4737-4694
Junyu LiuState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China.
Wenzhu PengState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China.
Guofan ZhangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266000, China.
Weiwei YouState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China.
Fucun WuCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266000, China.

Funding

the National Natural Science Foundation of China 31972790
6 · The paper itself

Abstract

Low-coverage whole-genome sequencing (lcWGS) followed by imputation is emerging as a cost-effective method for generating a substantial number of single nucleotide polymorphism (SNP) in aquatic species with highly heterozygous and complex genomes. This study represents the first systematic investigation into the application of low-coverage whole-genome sequencing (lcWGS) combined with imputation for genotyping in Pacific abalone (

Indexed as

GastropodaGenomeWhole Genome SequencingAnimalsGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingPolymorphism, Single Nucleotideaccuracygenotype imputationHaliotis discus hannailow-coverage whole-genome sequencing (lcWGS)

Identifiers

PMID40429742
PMCPMC12111473

What Socratic 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 Socratic graph.