Evidence map›Paper›PMID 37189023›Full record

ArticleBMC bioinformatics2023

geneHapR: an R package for gene haplotypic statistics and visualization.

Renliang Zhang, Guanqing Jia, Xianmin Diao

Abstract read
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Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

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94citing papers in PubMed
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3 · Its place in the literature

Who cites it

94 citing papers in PubMed.

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  16. Water stress tolerance, genomic selection and identification of genomic regions in a MAGIC population of eggplant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  17. Genomic diversity at thePlant diversity · 2026
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34 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Renliang ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Guanqing JiaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. jiaguanqing@caas.cn.
Xianmin DiaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. diaoxianmin@caas.cn.

Funding

China Agricultural Research System CARS06-14.5-A04Fundamental Research Funds of CAAS 1610092016116, Y2017JC15National Natural Science Foundation of China 32241042, 31871630
6 · The paper itself

Abstract

backgroundTogether with application of next-generation sequencing technologies and increased accumulation of genomic variation data in different organism species, an opportunity for effectively identification of superior alleles of functional genes to facilitate marker-assisted selection is emerging, and the clarification of haplotypes of functional genes is becoming an essential target in recent study works.

resultsIn this paper, we describe an R package 'geneHapR' developed for haplotypes identification, statistics and visualization analysis of candidate genes. This package could integrate genotype data, genomic annotating information and phenotypic variation data to clarify genotype variations, evolutionary-ship, and morphological effects among haplotypes through variants visualization, network construction and phenotypic comparison. 'geneHapR' also provides functions for Linkage Disequilibrium block analysis and visualizing of haplotypes geo-distribution.

conclusionsThe R package 'geneHapR' provided an easy-to-use tool for haplotype identification, statistic and visualization for candidate gene and will provide useful clues for gene functional dissection and molecular-assistant pyramiding of beneficial alleles of functional locus in future breeding programs.

Indexed as

Polymorphism, Single NucleotideAllelesGenotypeHaplotypesLinkage DisequilibriumgeneHapRHaplotype identificationLD-blockNetworkRVisualization

Identifiers

PMID37189023
PMCPMC10186671

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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.