Evidence map›Paper›PMID 24277739›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2014

Large-scale development of gene-associated single-nucleotide polymorphism markers for molluscan population genomic, comparative genomic, and genome-wide association studies.

Wenqian Jiao, Xiaoteng Fu, Jinqin Li, Ling Li, Liying Feng, Jia Lv, Lu Zhang, Xiaojian Wang, Yangping Li, Rui Hou and 4 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. The Bra1K array: an efficient and versatile 1K liquid-phase SNP chip for genetics and breeding in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

14 authors.

Wenqian JiaoKey Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, 5 Yushan Road, Qingdao 266003, China.
Xiaoteng Fu
Jinqin Li
Ling Li
Liying Feng
Jia Lv
Lu Zhang
Xiaojian Wang
Yangping Li
Rui Hou
Lingling Zhang
Xiaoli Hu
Shi Wang
Zhenmin Bao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mollusca is the second most diverse group of animals in the world. Despite their perceived importance, omics-level studies have seldom been applied to this group of animals largely due to a paucity of genomic resources. Here, we report the first large-scale gene-associated marker development and evaluation for a bivalve mollusc, Chlamys farreri. More than 21,000 putative single-nucleotide polymorphisms (SNPs) were identified from the C. farreri transcriptome. Primers and probes were designed and synthesized for 4500 SNPs, and 1492 polymorphic markers were successfully developed using a high-resolution melting genotyping platform. These markers are particularly suitable for population genomic analysis due to high polymorphism within and across populations, a low frequency of null alleles, and conformation to neutral expectations. Unexpectedly, high cross-species transferability was observed, suggesting that the transferable SNPs may largely represent ancestral genetic variations that have been preserved differentially among subfamilies of Pectinidae. Gene annotations were available for 73% of the markers, and 65% could be anchored to the recently released Pacific oyster genome. Large-scale association analysis revealed key candidate genes responsible for scallop growth regulation, and provided markers for further genetic improvement of C. farreri in breeding programmes.

Indexed as

Polymorphism, Single NucleotideAnimalsBivalviaGenetic MarkersGenome-Wide Association StudyGenotypeMetagenomicsMolecular Sequence AnnotationTranscriptomeGenetic Markersgenome-wide association (GWAS)high resolution melting (HRM)molluscasingle-nucleotide polymorphism (SNP)transcriptome

Identifiers

PMID24277739
PMCPMC3989488

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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.