Evidence map›Paper›PMID 24905985›Full record

ArticlePloS one2014

Construction and analysis of high-density linkage map using high-throughput sequencing data.

Dongyuan Liu, Chouxian Ma, Weiguo Hong, Long Huang, Min Liu, Hui Liu, Huaping Zeng, Dejing Deng, Huaigen Xin, Jun Song and 5 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 1 pooled it
–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

191 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Genetic dissection of flowering time and fine mapping of qFT.A02-1 in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  10. A rare dominant alleleScience advances · 2025
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  20. Article

131 more citing papers are in PubMed but not listed here.

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

15 authors.

Dongyuan LiuBiomarker Technologies Corporation, Beijing, China.
Chouxian MaBiomarker Technologies Corporation, Beijing, China.
Weiguo HongBiomarker Technologies Corporation, Beijing, China.
Long HuangBiomarker Technologies Corporation, Beijing, China.
Min LiuBiomarker Technologies Corporation, Beijing, China.
Hui LiuBiomarker Technologies Corporation, Beijing, China.
Huaping ZengBiomarker Technologies Corporation, Beijing, China.
Dejing DengBiomarker Technologies Corporation, Beijing, China.
Huaigen XinBiomarker Technologies Corporation, Beijing, China.
Jun SongBiomarker Technologies Corporation, Beijing, China.
Chunhua XuBiomarker Technologies Corporation, Beijing, China.
Xiaowen SunHeilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.
Xilin HouState Key laboratory of Crop Genetic and Germplasm Enhancement, Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China.
Xiaowu WangBiomarker Technologies Corporation, Beijing, China; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences (IVF, CAAS), Beijing, China.
Hongkun ZhengBiomarker Technologies Corporation, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage maps enable the study of important biological questions. The construction of high-density linkage maps appears more feasible since the advent of next-generation sequencing (NGS), which eases SNP discovery and high-throughput genotyping of large population. However, the marker number explosion and genotyping errors from NGS data challenge the computational efficiency and linkage map quality of linkage study methods. Here we report the HighMap method for constructing high-density linkage maps from NGS data. HighMap employs an iterative ordering and error correction strategy based on a k-nearest neighbor algorithm and a Monte Carlo multipoint maximum likelihood algorithm. Simulation study shows HighMap can create a linkage map with three times as many markers as ordering-only methods while offering more accurate marker orders and stable genetic distances. Using HighMap, we constructed a common carp linkage map with 10,004 markers. The singleton rate was less than one-ninth of that generated by JoinMap4.1. Its total map distance was 5,908 cM, consistent with reports on low-density maps. HighMap is an efficient method for constructing high-density, high-quality linkage maps from high-throughput population NGS data. It will facilitate genome assembling, comparative genomic analysis, and QTL studies. HighMap is available at http://highmap.biomarker.com.cn/.

Indexed as

Chromosome MappingHigh-Throughput Nucleotide SequencingAlgorithmsAnimalsCarpsGenetic MarkersGenomicsGenotyping TechniquesGenetic Markers

Identifiers

PMID24905985
PMCPMC4048240

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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.