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Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution

Over the past half century, thousands of quantitative trait loci (QTL) have been identified by using animal models and plant populations. However, the none-reliability and imprecision of the genomic regions of these loci have remained the major hurdle for the identification of the causal genes for t...

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Autores principales: Wang, Lishi, Jiao, Yan, Wang, Yongjun, Zhang, Mengchen, Gu, Weikuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874692/
https://www.ncbi.nlm.nih.gov/pubmed/27203862
http://dx.doi.org/10.1371/journal.pone.0153676
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author Wang, Lishi
Jiao, Yan
Wang, Yongjun
Zhang, Mengchen
Gu, Weikuan
author_facet Wang, Lishi
Jiao, Yan
Wang, Yongjun
Zhang, Mengchen
Gu, Weikuan
author_sort Wang, Lishi
collection PubMed
description Over the past half century, thousands of quantitative trait loci (QTL) have been identified by using animal models and plant populations. However, the none-reliability and imprecision of the genomic regions of these loci have remained the major hurdle for the identification of the causal genes for the correspondent traits. We used a none-experimental strategy of strain number reduction for testing accuracy and ascertainment of the candidate region for QTL. We tested the strategy in over 400 analyses with data from 47 studies. These studies include: 1) studies with recombinant inbred (RI) strains of mice. We first tested two previously mapped QTL with well-defined genomic regions; We then tested additional four studies with known QTL regions; and finally we examined the reliability of QTL in 38 sets of data which are produced from relatively large numbers of RI strains, derived from C57BL/6J (B6) X DBA/2J (D2), known as BXD RI mouse strains; 2) studies with RI strains of rats and plants; and 3) studies using F2 populations in mice, rats and plants. In these cases, our method identified the reliability of mapped QTL and localized the candidate genes into the defined genomic regions. Our data also suggests that LRS score produced by permutation tests does not necessarily confirm the reliability of the QTL. Number of strains are not the reliable indicators for the accuracy of QTL either. Our strategy determines the reliability and accuracy of the genomic region of a QTL without any additional experimental study such as congenic breeding.
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spelling pubmed-48746922016-06-09 Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution Wang, Lishi Jiao, Yan Wang, Yongjun Zhang, Mengchen Gu, Weikuan PLoS One Research Article Over the past half century, thousands of quantitative trait loci (QTL) have been identified by using animal models and plant populations. However, the none-reliability and imprecision of the genomic regions of these loci have remained the major hurdle for the identification of the causal genes for the correspondent traits. We used a none-experimental strategy of strain number reduction for testing accuracy and ascertainment of the candidate region for QTL. We tested the strategy in over 400 analyses with data from 47 studies. These studies include: 1) studies with recombinant inbred (RI) strains of mice. We first tested two previously mapped QTL with well-defined genomic regions; We then tested additional four studies with known QTL regions; and finally we examined the reliability of QTL in 38 sets of data which are produced from relatively large numbers of RI strains, derived from C57BL/6J (B6) X DBA/2J (D2), known as BXD RI mouse strains; 2) studies with RI strains of rats and plants; and 3) studies using F2 populations in mice, rats and plants. In these cases, our method identified the reliability of mapped QTL and localized the candidate genes into the defined genomic regions. Our data also suggests that LRS score produced by permutation tests does not necessarily confirm the reliability of the QTL. Number of strains are not the reliable indicators for the accuracy of QTL either. Our strategy determines the reliability and accuracy of the genomic region of a QTL without any additional experimental study such as congenic breeding. Public Library of Science 2016-05-20 /pmc/articles/PMC4874692/ /pubmed/27203862 http://dx.doi.org/10.1371/journal.pone.0153676 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Wang, Lishi
Jiao, Yan
Wang, Yongjun
Zhang, Mengchen
Gu, Weikuan
Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title_full Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title_fullStr Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title_full_unstemmed Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title_short Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution
title_sort self-confirmation and ascertainment of the candidate genomic regions of complex trait loci – a none-experimental solution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874692/
https://www.ncbi.nlm.nih.gov/pubmed/27203862
http://dx.doi.org/10.1371/journal.pone.0153676
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