Functional Gene Group Analysis Indicates No Role for Heterotrimeric G Proteins in Cognitive Ability
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{"title"=>"Functional gene group analysis indicates no role for heterotrimeric G proteins in cognitive ability.", "type"=>"journal", "authors"=>[{"first_name"=>"W David", "last_name"=>"Hill"}, {"first_name"=>"Christiaan", "last_name"=>"de Leeuw"}, {"first_name"=>"Gail", "last_name"=>"Davies"}, {"first_name"=>"David Cherry McLachlan", "last_name"=>"Liewald"}, {"first_name"=>"Anthony", "last_name"=>"Payton"}, {"first_name"=>"Leone C A", "last_name"=>"Craig"}, {"first_name"=>"Lawrence J", "last_name"=>"Whalley"}, {"first_name"=>"Mike", "last_name"=>"Horan"}, {"first_name"=>"William", "last_name"=>"Ollier"}, {"first_name"=>"John M", "last_name"=>"Starr"}, {"first_name"=>"Neil", "last_name"=>"Pendleton"}, {"first_name"=>"Danielle", "last_name"=>"Posthuma"}, {"first_name"=>"Timothy C", "last_name"=>"Bates"}, {"first_name"=>"Ian J", "last_name"=>"Deary"}], "year"=>2014, "source"=>"PloS one", "identifiers"=>{"pui"=>"372799574", "sgr"=>"84897989450", "issn"=>"1932-6203", "pmid"=>"24626473", "scopus"=>"2-s2.0-84897989450", "doi"=>"10.1371/journal.pone.0091690"}, "id"=>"0425cd40-95bf-34dd-adae-5489d6e1d14c", "abstract"=>"Previous functional gene group analyses implicated common single nucleotide polymorphisms (SNPs) in heterotrimeric G protein coding genes as being associated with differences in human intelligence. Here, we sought to replicate this finding using five independent cohorts of older adults including current IQ and childhood IQ, and using both gene- and SNP-based analytic strategies. No significant associations were found between variation in heterotrimeric G protein genes and intelligence in any cohort at either of the two time points. These results indicate that, whereas G protein systems are important in cognition, common genetic variation in these genes is unlikely to be a substantial influence on human intelligence differences.", "link"=>"http://www.mendeley.com/research/functional-gene-group-analysis-indicates-role-heterotrimeric-g-proteins-cognitive-ability-2", "reader_count"=>5, "reader_count_by_academic_status"=>{"Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>2}, "reader_count_by_user_role"=>{"Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>2}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>2, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1418364"], "description"=>"<p>Note: * indicates genes without coverage in Ruano et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091690#pone.0091690-Ruano1\" target=\"_blank\">[12]</a> ** Gene <i>GNB2</i> was incorporated into the GSEA analysis, but was not tested the JAG replication (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091690#pone-0091690-t001\" target=\"_blank\">Table 1</a>).</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "crystallised"], "article_id"=>960635, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Gene_based_analysis_results_for_Crystallised_and_fluid_cognitive_ability_/960635", "title"=>"Gene based analysis results for Crystallised and fluid cognitive ability.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418363"], "description"=>"<p>Association between fluid and crystallised ability and the G protein gene set for each of the five CAGES cohorts.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "crystallised", "cages"], "article_id"=>960634, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.t001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_fluid_and_crystallised_ability_and_the_G_protein_gene_set_for_each_of_the_five_CAGES_cohorts_/960634", "title"=>"Association between fluid and crystallised ability and the G protein gene set for each of the five CAGES cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418358"], "description"=>"<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. The mean power from these 100 simulations is shown in red with error bars depicting ±1 standard error.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "exploring", "fuctuates", "variance", "explained", "10"], "article_id"=>960629, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.g001", "stats"=>{"downloads"=>4, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Simulations_exploring_how_power_fuctuates_as_a_function_of_total_variance_explained_when_the_effect_is_spread_over_10_SNPs_/960629", "title"=>"Simulations exploring how power fuctuates as a function of total variance explained when the effect is spread over 10 SNPs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418369", "https://ndownloader.figshare.com/files/1418370", "https://ndownloader.figshare.com/files/1418371", "https://ndownloader.figshare.com/files/1418372", "https://ndownloader.figshare.com/files/1418373", "https://ndownloader.figshare.com/files/1418374", "https://ndownloader.figshare.com/files/1418375", "https://ndownloader.figshare.com/files/1418376", "https://ndownloader.figshare.com/files/1418377", "https://ndownloader.figshare.com/files/1418378", "https://ndownloader.figshare.com/files/1418379", "https://ndownloader.figshare.com/files/1418380", "https://ndownloader.figshare.com/files/1418381", "https://ndownloader.figshare.com/files/1418382"], "description"=>"<div><p>Previous functional gene group analyses implicated common single nucleotide polymorphisms (SNPs) in heterotrimeric G protein coding genes as being associated with differences in human intelligence. Here, we sought to replicate this finding using five independent cohorts of older adults including current IQ and childhood IQ, and using both gene- and SNP-based analytic strategies. No significant associations were found between variation in heterotrimeric G protein genes and intelligence in any cohort at either of the two time points. These results indicate that, whereas G protein systems are important in cognition, common genetic variation in these genes is unlikely to be a substantial influence on human intelligence differences.</p></div>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "indicates", "heterotrimeric", "proteins"], "article_id"=>960637, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0091690.s001", "https://dx.doi.org/10.1371/journal.pone.0091690.s002", "https://dx.doi.org/10.1371/journal.pone.0091690.s003", "https://dx.doi.org/10.1371/journal.pone.0091690.s004", "https://dx.doi.org/10.1371/journal.pone.0091690.s005", "https://dx.doi.org/10.1371/journal.pone.0091690.s006", "https://dx.doi.org/10.1371/journal.pone.0091690.s007", "https://dx.doi.org/10.1371/journal.pone.0091690.s008", "https://dx.doi.org/10.1371/journal.pone.0091690.s009", "https://dx.doi.org/10.1371/journal.pone.0091690.s010", "https://dx.doi.org/10.1371/journal.pone.0091690.s011", "https://dx.doi.org/10.1371/journal.pone.0091690.s012", "https://dx.doi.org/10.1371/journal.pone.0091690.s013", "https://dx.doi.org/10.1371/journal.pone.0091690.s014"], "stats"=>{"downloads"=>17, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Functional_Gene_Group_Analysis_Indicates_No_Role_for_Heterotrimeric_G_Proteins_in_Cognitive_Ability_/960637", "title"=>"Functional Gene Group Analysis Indicates No Role for Heterotrimeric G Proteins in Cognitive Ability", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418362"], "description"=>"<p>As indicated, the total amount of variance explained, rather than the number of SNPs the effect is spread over, influences statistical power.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "plotted", "variance", "explained", "snps"], "article_id"=>960633, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.g005", "stats"=>{"downloads"=>5, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_mean_power_is_plotted_against_variance_explained_for_the_number_of_SNPs_the_effect_is_spread_over_/960633", "title"=>"The mean power is plotted against variance explained for the number of SNPs the effect is spread over.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418360"], "description"=>"<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. The mean power from these 100 simulations is shown in red with error bars depicting ±1 standard error.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "exploring", "fuctuates", "variance", "explained", "100"], "article_id"=>960631, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.g003", "stats"=>{"downloads"=>6, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Simulations_exploring_how_power_fuctuates_as_a_function_of_total_variance_explained_when_the_effect_is_spread_over_100_SNPs_/960631", "title"=>"Simulations exploring how power fuctuates as a function of total variance explained when the effect is spread over 100 SNPs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418361"], "description"=>"<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. The mean power from these 100 simulations is shown in red with error bars depicting ±1 standard error.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "exploring", "fuctuates", "variance", "explained", "300"], "article_id"=>960632, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.g004", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Simulations_exploring_how_power_fuctuates_as_a_function_of_total_variance_explained_when_the_effect_is_spread_over_300_SNPs_/960632", "title"=>"Simulations exploring how power fuctuates as a function of total variance explained when the effect is spread over 300 SNPs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-13 08:41:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1418359"], "description"=>"<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. The mean power from these 100 simulations is shown in red with error bars depicting ±1 standard error.</p>", "links"=>[], "tags"=>["genetics", "Genome-wide association studies", "Human genetics", "Molecular genetics", "Molecular cell biology", "Signal transduction", "Signaling in cellular processes", "G-protein signaling", "neuroscience", "Cognitive neuroscience", "cognition", "statistics", "Biostatistics", "psychology", "Cognitive psychology", "Human intelligence", "neuropsychology", "Psychometrics", "exploring", "fuctuates", "variance", "explained", "30"], "article_id"=>960630, "categories"=>["Biological Sciences", "Mathematics", "Sociology"], "users"=>["W. David Hill", "Christiaan de Leeuw", "Gail Davies", "David Cherry McLachlan Liewald", "Anthony Payton", "Leone C. A. Craig", "Lawrence J. Whalley", "Mike Horan", "William Ollier", "John M. Starr", "Neil Pendleton", "Danielle Posthuma", "Timothy C. Bates", "Ian J. Deary"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091690.g002", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Simulations_exploring_how_power_fuctuates_as_a_function_of_total_variance_explained_when_the_effect_is_spread_over_30_SNPs_/960630", "title"=>"Simulations exploring how power fuctuates as a function of total variance explained when the effect is spread over 30 SNPs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-13 08:41:39"}

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Relative Metric

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