Genome-Wide Co-Expression Analysis in Multiple Tissues
Publication Date
December 29, 2008
Journal
PLOS ONE
Authors
Ian C. Grieve, Nicholas J. Dickens, Michal Pravenec, Vladimir Kren, et al
Volume
3
Issue
12
Pages
e4033
DOI
https://dx.plos.org/10.1371/journal.pone.0004033
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0004033
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/19112506
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2603584
Europe PMC
http://europepmc.org/abstract/MED/19112506
Web of Science
000265466000005
Scopus
58149179956
Mendeley
http://www.mendeley.com/research/genomewide-coexpression-analysis-multiple-tissues
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CiteULike | Further Information

Mendeley | Further Information

{"title"=>"Genome-wide co-expression analysis in multiple tissues", "type"=>"journal", "authors"=>[{"first_name"=>"Ian C.", "last_name"=>"Grieve", "scopus_author_id"=>"7004020183"}, {"first_name"=>"Nicholas J.", "last_name"=>"Dickens", "scopus_author_id"=>"6602989159"}, {"first_name"=>"Michal", "last_name"=>"Pravenec", "scopus_author_id"=>"7007016265"}, {"first_name"=>"Vladimir", "last_name"=>"Kren", "scopus_author_id"=>"55399834900"}, {"first_name"=>"Norbert", "last_name"=>"Hubner", "scopus_author_id"=>"7003749232"}, {"first_name"=>"Stuart A.", "last_name"=>"Cook", "scopus_author_id"=>"7402119166"}, {"first_name"=>"Timothy J.", "last_name"=>"Aitman", "scopus_author_id"=>"26643597700"}, {"first_name"=>"Enrico", "last_name"=>"Petretto", "scopus_author_id"=>"57191842541"}, {"first_name"=>"Jonathan", "last_name"=>"Mangion", "scopus_author_id"=>"7003313096"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"19112506", "sgr"=>"58149179956", "doi"=>"10.1371/journal.pone.0004033", "scopus"=>"2-s2.0-58149179956", "pui"=>"354030401", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "issn"=>"19326203"}, "id"=>"544149ac-8462-36ce-b8c9-53dfea3517b9", "abstract"=>"Expression quantitative trait loci (eQTLs) represent genetic control points of gene expression, and can be categorized as cis- and trans-acting, reflecting local and distant regulation of gene expression respectively. Although there is evidence of co-regulation within clusters of trans-eQTLs, the extent of co-expression patterns and their relationship with the genotypes at eQTLs are not fully understood. We have mapped thousands of cis- and trans-eQTLs in four tissues (fat, kidney, adrenal and left ventricle) in a large panel of rat recombinant inbred (RI) strains. Here we investigate the genome-wide correlation structure in expression levels of eQTL transcripts and underlying genotypes to elucidate the nature of co-regulation within cis- and trans-eQTL datasets. Across the four tissues, we consistently found statistically significant correlations of cis-regulated gene expression to be rare (<0.9% of all pairs tested). Most (>80%) of the observed significant correlations of cis-regulated gene expression are explained by correlation of the underlying genotypes. In comparison, co-expression of trans-regulated gene expression is more common, with significant correlation ranging from 2.9%-14.9% of all pairs of trans-eQTL transcripts. We observed a total of 81 trans-eQTL clusters (hot-spots), defined as consisting of > or =10 eQTLs linked to a common region, with very high levels of correlation between trans-regulated transcripts (77.2-90.2%). Moreover, functional analysis of large trans-eQTL clusters (> or =30 eQTLs) revealed significant functional enrichment among genes comprising 80% of the large clusters. The results of this genome-wide co-expression study show the effects of the eQTL genotypes on the observed patterns of correlation, and suggest that functional relatedness between genes underlying trans-eQTLs is reflected in the degree of co-expression observed in trans-eQTL clusters. Our results demonstrate the power of an integrative, systematic approach to the analysis of a large gene expression dataset to uncover underlying structure, and inform future eQTL studies.", "link"=>"http://www.mendeley.com/research/genomewide-coexpression-analysis-multiple-tissues", "reader_count"=>57, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>11, "Student > Doctoral Student"=>1, "Researcher"=>18, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>11, "Student > Doctoral Student"=>1, "Researcher"=>18, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>5, "Mathematics"=>2, "Agricultural and Biological Sciences"=>38, "Medicine and Dentistry"=>5, "Arts and Humanities"=>1, "Business, Management and Accounting"=>1, "Physics and Astronomy"=>1, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>38}, "Computer Science"=>{"Computer Science"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>5}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"New Zealand"=>1, "Pakistan"=>1, "United States"=>5, "United Kingdom"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/450729", "https://ndownloader.figshare.com/files/450794", "https://ndownloader.figshare.com/files/450872", "https://ndownloader.figshare.com/files/450923", "https://ndownloader.figshare.com/files/450961", "https://ndownloader.figshare.com/files/451002", "https://ndownloader.figshare.com/files/451068", "https://ndownloader.figshare.com/files/451128"], "description"=>"<div><p>Expression quantitative trait loci (eQTLs) represent genetic control points of gene expression, and can be categorized as <em>cis</em>- and <em>trans</em>-acting, reflecting local and distant regulation of gene expression respectively. Although there is evidence of co-regulation within clusters of <em>trans</em>-eQTLs, the extent of co-expression patterns and their relationship with the genotypes at eQTLs are not fully understood. We have mapped thousands of <em>cis</em>- and <em>trans</em>-eQTLs in four tissues (fat, kidney, adrenal and left ventricle) in a large panel of rat recombinant inbred (RI) strains. Here we investigate the genome-wide correlation structure in expression levels of eQTL transcripts and underlying genotypes to elucidate the nature of co-regulation within <em>cis</em>- and <em>trans</em>-eQTL datasets. Across the four tissues, we consistently found statistically significant correlations of <em>cis</em>-regulated gene expression to be rare (<0.9% of all pairs tested). Most (>80%) of the observed significant correlations of <em>cis</em>-regulated gene expression are explained by correlation of the underlying genotypes. In comparison, co-expression of <em>trans</em>-regulated gene expression is more common, with significant correlation ranging from 2.9%–14.9% of all pairs of <em>trans</em>-eQTL transcripts. We observed a total of 81 <em>trans</em>-eQTL clusters (hot-spots), defined as consisting of ≥10 eQTLs linked to a common region, with very high levels of correlation between <em>trans</em>-regulated transcripts (77.2–90.2%). Moreover, functional analysis of large <em>trans</em>-eQTL clusters (≥30 eQTLs) revealed significant functional enrichment among genes comprising 80% of the large clusters. The results of this genome-wide co-expression study show the effects of the eQTL genotypes on the observed patterns of correlation, and suggest that functional relatedness between genes underlying <em>trans</em>-eQTLs is reflected in the degree of co-expression observed in <em>trans</em>-eQTL clusters. Our results demonstrate the power of an integrative, systematic approach to the analysis of a large gene expression dataset to uncover underlying structure, and inform future eQTL studies.</p></div>", "links"=>[], "tags"=>["genome-wide", "co-expression", "tissues"], "article_id"=>148832, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0004033.s001", "https://dx.doi.org/10.1371/journal.pone.0004033.s002", "https://dx.doi.org/10.1371/journal.pone.0004033.s003", "https://dx.doi.org/10.1371/journal.pone.0004033.s004", "https://dx.doi.org/10.1371/journal.pone.0004033.s005", "https://dx.doi.org/10.1371/journal.pone.0004033.s006", "https://dx.doi.org/10.1371/journal.pone.0004033.s007", "https://dx.doi.org/10.1371/journal.pone.0004033.s008"], "stats"=>{"downloads"=>11, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Genome_Wide_Co_Expression_Analysis_in_Multiple_Tissues/148832", "title"=>"Genome-Wide Co-Expression Analysis in Multiple Tissues", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2008-12-29 02:27:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/913519"], "description"=>"a b<p>As described in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#pone-0004033-t002\" target=\"_blank\">Table 2</a>.</p>", "links"=>[], "tags"=>["genes"], "article_id"=>583968, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Outcomes_of_correlation_analysis_of_trans_eQTL_genes_in_each_of_the_four_tissues_/583968", "title"=>"Outcomes of correlation analysis of <i>trans</i>-eQTL genes in each of the four tissues.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-12-29 01:06:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/913556"], "description"=>"*<p><i>cis</i>- and <i>trans</i>-eQTLs are defined as follows: A <i>cis</i>-eQTL is one in which the peak of linkage is within 10 Mb of the transcript. Any other eQTL is defined as a <i>trans</i>-eQTL.</p>", "links"=>[], "tags"=>["qtls", "tissues", "genome-wide", "corrected"], "article_id"=>584007, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Numbers_of_cis_and_trans_expression_QTLs_identified_in_each_of_the_four_rat_tissues_at_genome_wide_corrected_p_0_05_/584007", "title"=>"Numbers of <i>cis</i>- and <i>trans</i>- expression QTLs identified in each of the four rat tissues at genome-wide corrected <i>p</i>≤0.05.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-12-29 01:06:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/912780"], "description"=>"<p>Significantly correlated pairs of <i>trans</i>-eQTL genes identified in a) fat, b) kidney, c) adrenal and d) left ventricle are plotted according to genetic map location of the transcripts. Colour coding is as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#pone-0004033-g001\" target=\"_blank\">Figure 1</a>.</p>", "links"=>[], "tags"=>["plots", "pairs", "genes", "correlated", "profiles", "transcript"], "article_id"=>583221, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.g002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plots_showing_pairs_of_trans_eQTL_genes_with_significantly_correlated_expression_profiles_by_transcript_genetic_map_location_/583221", "title"=>"Scatter plots showing pairs of <i>trans</i>-eQTL genes with significantly correlated expression profiles by transcript genetic map location.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-29 00:53:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/912931"], "description"=>"<p>Significantly correlated pairs of <i>trans</i>-eQTLs identified in a) fat, b) kidney, c) adrenal and d) left ventricle are plotted according to genetic map position of the peak of linkage. Colour coding is as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#pone-0004033-g001\" target=\"_blank\">Figure 1</a>. Over-representation of pairs of <i>trans</i>-eQTLs with nearby peaks of linkage among the significantly correlated set can be observed (in the red diagonal) in all four tissues.</p>", "links"=>[], "tags"=>["plots", "pairs", "genes", "correlated", "profiles"], "article_id"=>583377, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plots_showing_pairs_of_trans_eQTL_genes_with_significantly_correlated_expression_profiles_by_genetic_map_location_of_peak_of_linkage_/583377", "title"=>"Scatter plots showing pairs of <i>trans</i>-eQTL genes with significantly correlated expression profiles by genetic map location of peak of linkage.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-29 00:56:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/913294"], "description"=>"<p>Each point on the scatter plot represents a <i>cis</i>-eQTL within the defined window region of a <i>trans</i>-eQTL cluster. The average Pearson coefficient of correlation of the underlying transcript expression levels of the <i>cis</i>-eQTL with those of the cluster <i>trans</i>-eQTLs is shown to be strongly negatively correlated with distance in a) fat, b) kidney, c) adrenal, d) LV, R<sup>2</sup> for this relationship ranges from 0.15 to 0.43. The Z-score, calculated from the vertical distance of each <i>cis</i>-eQTL from the regression line, is indicated by the colour of each point, indicated by the colour legend in the top right of each plot.</p>", "links"=>[], "tags"=>["plots", "genes", "located", "plotted"], "article_id"=>583741, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.g005", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plots_showing_correlation_of_genes_underlying_cluster_trans_eQTLs_and_cis_eQTLs_located_in_the_window_region_plotted_against_their_distance_from_the_peak_of_linkage_/583741", "title"=>"Scatter plots showing correlation of genes underlying cluster <i>trans</i>-eQTLs and <i>cis</i>-eQTLs located in the window region, plotted against their distance from the peak of linkage.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-29 01:02:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/913404"], "description"=>"a<p>As described in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#pone-0004033-t002\" target=\"_blank\">Table 2</a>.</p>", "links"=>[], "tags"=>["outcomes", "pairwise"], "article_id"=>583854, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.t004", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_outcomes_of_pairwise_correlation_of_trans_eQTL_cluster_genes_/583854", "title"=>"Summary of outcomes of pairwise correlation of <i>trans</i>-eQTL cluster genes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-12-29 01:04:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/912586"], "description"=>"<p>Significantly correlated pairs of <i>cis</i>-eQTL genes identified in a) fat, b) kidney, c) adrenal and d) left ventricle are plotted according to genetic map location (cM), indicating significance or otherwise of correlation of strain distribution patterns (SDPs) at the peak of linkage. Colour coding indicates significance of correlation of SDPs (<i>p</i><0.05; see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#s4\" target=\"_blank\">Methods</a>). Pairs consisting of probesets located close to one another, which correspondingly have nearby peaks of linkage, are disproportionately represented among significantly correlated pairs as indicated by the red diagonal.</p>", "links"=>[], "tags"=>["plots", "pairs", "genes", "correlated", "profiles"], "article_id"=>583033, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plots_showing_pairs_of_cis_eQTL_genes_with_significantly_correlated_expression_profiles_by_genetic_map_location_/583033", "title"=>"Scatter plots showing pairs of <i>cis</i>-eQTL genes with significantly correlated expression profiles by genetic map location.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-29 00:50:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/913083"], "description"=>"<p>For each of the four tissues, the percentages of significantly correlated pairs of <i>trans</i>-eQTL genes within <i>trans</i>-eQTL clusters are displayed. The boxplots indicate the median, interquartile range, and range of within-cluster correlation in each tissue. The percentage significant correlation among all trans-eQTLs is shown for each of the four tissues as horizontal lines, for purpose of comparison with the <i>trans</i>-eQTL clusters. One outlier is shown, a cluster in adrenal found to have 100% significant pairwise correlation of gene expression levels (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004033#pone.0004033.s005\" target=\"_blank\">Table S3</a>).</p>", "links"=>[], "tags"=>["within-cluster", "genes", "forming"], "article_id"=>583530, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.g004", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Boxplots_showing_percentage_within_cluster_correlation_of_genes_underlying_trans_eQTLs_forming_trans_eQTL_clusters_/583530", "title"=>"Boxplots showing percentage within-cluster correlation of genes underlying <i>trans</i>-eQTLs forming <i>trans</i>-eQTL clusters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-29 00:58:50"}
  • {"files"=>["https://ndownloader.figshare.com/files/913448"], "description"=>"<p>Outcome of GO analysis of <i>trans</i>-eQTL clusters consisting of 30 or more eQTLs using DAVID, a functional annotation software tool.</p>", "links"=>[], "tags"=>["clusters", "consisting", "30", "eqtls", "annotation"], "article_id"=>583895, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.t005", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Outcome_of_GO_analysis_of_trans_eQTL_clusters_consisting_of_30_or_more_eQTLs_using_DAVID_a_functional_annotation_software_tool_/583895", "title"=>"Outcome of GO analysis of <i>trans</i>-eQTL clusters consisting of 30 or more eQTLs using DAVID, a functional annotation software tool.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-12-29 01:04:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/913486"], "description"=>"a<p>Significantly correlated pairs are defined as those in which the absolute Pearson correlation of the gene expression levels was empirically found to be statistically significant (FDR<0.05), following control for multiple testing.</p>b<p>Correlation of genotypes at a pair of eQTLs across the RI strain panel was assessed by calculating the matching coefficient. Genotypes are described as significantly correlated if the total number of matched pairs is found to be significant by a two-tailed test of probability (<i>p</i><0.05).</p>", "links"=>[], "tags"=>["genes"], "article_id"=>583935, "categories"=>["Genetics"], "users"=>["Ian C. Grieve", "Nicholas J. Dickens", "Michal Pravenec", "Vladimír Křen", "Norbert Hubner", "Stuart A. Cook", "Timothy J. Aitman", "Enrico Petretto", "Jonathan Mangion"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004033.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Outcomes_of_correlation_analysis_of_cis_eQTL_genes_in_each_of_the_four_tissues_/583935", "title"=>"Outcomes of correlation analysis of <i>cis</i>-eQTL genes in each of the four tissues.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-12-29 01:05:35"}

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Relative Metric

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