Traits Contributing to the Autistic Spectrum
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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/832318"], "description"=>"<p>ASD children tended to have low scores on average with those classified as Childhood autism having worse scores than Asperger children. Other children with special educational needs also had worse scores than the general population but their deviation from this average was relatively minor.</p>", "links"=>[], "tags"=>["factors", "derived", "93"], "article_id"=>502690, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_the_mean_score_for_the_7_factors_derived_from_the_93_traits_/502690", "title"=>"Distribution of the mean score for the 7 factors derived from the 93 traits.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-09-08 00:44:50"}
  • {"files"=>["https://ndownloader.figshare.com/files/832489"], "description"=>"<p>See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012633#pone.0012633.s003\" target=\"_blank\">Methods S3</a> for definitions of the abbreviations associated with the individual measures. Logistic regression was used to test the association between the traits and ASD status adjusting for gender. Traits were included as linear covariates. ORs are for one SD decrease in trait score. <i>All data</i> consists of at least one individual measure with observed data (from the 93 measures used to derive the factors or from the 4 measures included in the individual measure model) with missing data being imputed. <i>Complete data</i> consists of observed data only. R<sup>2</sup> are reported as the increase in the explanation of the log-likelihood compared to a model involving gender only. Gender explained about 5% of the log likelihood in all models. The estimated relative contribution of each trait using <i>All data</i> were: 19%, 5%, 31%, 17%, 13%, 5% and 10% (Factors); and, 57%, 19%, 4% and 19% (individual measures). The factor model performed similarly to the individual measure model when restricted to the same sample (increase in R<sup>2</sup>  = 0.493, N = 11411).</p>", "links"=>[], "tags"=>["associations", "asd", "factors"], "article_id"=>502859, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.t004", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_analysis_of_the_associations_between_ASD_status_and_the_7_Factors_or_the_4_individual_measures_/502859", "title"=>"Sensitivity analysis of the associations between ASD status and the 7 Factors or the 4 individual measures.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-09-08 00:47:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/832577"], "description"=>"<p>See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012633#pone.0012633.s003\" target=\"_blank\">Methods S3</a> for definitions of the abbreviations associated with the individual measures. Loadings ≥0.3 are shown in bold. This criterion is used to aid interpretation rather than imply any significant deviation from zero. The total variance explained by the 7 factors was 84.7%. The first 7 domains match the retained factors: 1 <i>Verbal ability</i>, 2 <i>Language acquisition</i>, 3 <i>Social understanding</i>, 4 <i>Semantic-pragmatic skills</i>, 5 <i>Repetitive Behaviour</i>, 6 <i>Articulation</i> and 7 <i>Social inhibition</i>.</p>", "links"=>[], "tags"=>["93", "varimax", "rotation"], "article_id"=>502950, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Factor_analysis_of_93_traits_after_varimax_rotation_N_8202_8202_13_138_/502950", "title"=>"Factor analysis of 93 traits after varimax rotation (N = 13,138).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-09-08 00:49:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/413983", "https://ndownloader.figshare.com/files/414028", "https://ndownloader.figshare.com/files/414067", "https://ndownloader.figshare.com/files/414085", "https://ndownloader.figshare.com/files/414111", "https://ndownloader.figshare.com/files/414131", "https://ndownloader.figshare.com/files/414179", "https://ndownloader.figshare.com/files/414218", "https://ndownloader.figshare.com/files/414236", "https://ndownloader.figshare.com/files/414261", "https://ndownloader.figshare.com/files/414278", "https://ndownloader.figshare.com/files/414289", "https://ndownloader.figshare.com/files/414296"], "description"=>"<div><h3>Background</h3><p>It is increasingly recognised that traits associated with autism reflect a spectrum with no clear boundary between typical and atypical behaviour. Dimensional traits are needed to investigate the broader autism phenotype.</p><h3>Methods and Principal Findings</h3><p>Ninety-three individual measures reflecting components of social, communication and repetitive behaviours characterising autistic spectrum disorder (ASD) were identified between the ages of 6 months and 9 years from the ALSPAC database. Using missing value imputation, data for 13,138 children were analysed. Factor analysis suggested the existence of 7 factors explaining 85% of the variance. The factors were labelled: verbal ability, language acquisition, social understanding, semantic-pragmatic skills, repetitive-stereotyped behaviour, articulation and social inhibition. Four factors (1, 3, 5 and 7) were specific to ASD being more strongly associated with this phenotype than other co-morbid conditions while other factors were more associated with learning difficulties and specific language impairment. Nevertheless, all 7 factors contributed independently to the explanation of ASD (p<0.001). Exploration of putative genetic causal factors such as variants in the <em>CNTNAP2</em> gene showed a varying pattern of associations with these traits. An alternative predictive model of ASD was derived using four individual measures: the coherence subscale of the Children's Communication Checklist (9y), the Social and Communication Disorders Checklist (91 m), repetitive behaviour (69 m) and the sociability subscale of the Emotionality Activity and Sociability measure (38 m). Although univarably these traits performed better than some factors, their combined explanations of ASD were similar (R<sup>2</sup> = 0.48).</p><h3>Conclusions and Significance</h3><p>These results support the fractional nature of ASD with different aetiological origins for these components despite pleiotropic genetic effects being observed. These traits are likely to be useful in the exploration of ASD.</p></div>", "links"=>[], "tags"=>["traits", "contributing", "autistic"], "article_id"=>141768, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0012633.s001", "https://dx.doi.org/10.1371/journal.pone.0012633.s002", "https://dx.doi.org/10.1371/journal.pone.0012633.s003", "https://dx.doi.org/10.1371/journal.pone.0012633.s004", "https://dx.doi.org/10.1371/journal.pone.0012633.s005", "https://dx.doi.org/10.1371/journal.pone.0012633.s006", "https://dx.doi.org/10.1371/journal.pone.0012633.s007", "https://dx.doi.org/10.1371/journal.pone.0012633.s008", "https://dx.doi.org/10.1371/journal.pone.0012633.s009", "https://dx.doi.org/10.1371/journal.pone.0012633.s010", "https://dx.doi.org/10.1371/journal.pone.0012633.s011", "https://dx.doi.org/10.1371/journal.pone.0012633.s012", "https://dx.doi.org/10.1371/journal.pone.0012633.s013"], "stats"=>{"downloads"=>60, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Traits_Contributing_to_the_Autistic_Spectrum/141768", "title"=>"Traits Contributing to the Autistic Spectrum", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-09-08 00:29:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/832550"], "description"=>"<p>Factors derived from analysis of all ages: 1 <i>Verbal ability</i>, 2 <i>Language acquisition</i>, 3 <i>Social understanding</i>, 4 <i>Semantic-pragmatic skills</i>, 5 <i>Repetitive Behaviour</i>, 6 <i>Articulation</i> and 7 <i>Social inhibition</i>. Not all factors were identified for each age range. Hence, for example, the comparisons for the 6–15 m age range only show one factor and are only compared with the equivalent factor derived for 18–38 m and for all ages. This factor was not identified for age ranges 42–77 m and 81 m–9y.</p><p>At age 18–38 m, <i>Echoes what said 38 m</i> failed to load highly on any of the 5 factors identified for this age range but was included as a 6<sup>th</sup> ‘factor’ and used as a proxy for Factor 4.</p><p>At age 81 m–9y, an estimate of Factor 4 was calculated by summing two factors (2<sup>nd</sup> and 3<sup>rd</sup> factors, see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012633#pone.0012633.s009\" target=\"_blank\">Table S5</a> part D) derived from the factor analysis for this age range.</p><p>All correlations were highly significant (p<0.0001).</p>", "links"=>[], "tags"=>["factors", "generated", "variables", "ranges", "ages"], "article_id"=>502921, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.t003", "stats"=>{"downloads"=>3, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlations_between_factors_generated_from_variables_for_different_age_ranges_and_for_all_ages_N_8202_8202_13_138_/502921", "title"=>"Correlations between factors generated from variables for different age ranges and for all ages (N = 13,138).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-09-08 00:48:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/832460"], "description"=>"<p>See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012633#pone.0012633.s003\" target=\"_blank\">Methods S3</a> for definitions of the abbreviations associated with the individual measures and the co-morbid conditions.</p><p>All traits were standardised to have a variance of one. The data for traits included observed and imputed data.</p>", "links"=>[], "tags"=>["regression", "asd", "co-morbid", "conditions", "adjusting"], "article_id"=>502827, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.t005", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Linear_regression_analysis_of_traits_with_ASD_and_other_co_morbid_conditions_adjusting_for_gender_/502827", "title"=>"Linear regression analysis of traits with ASD and other co-morbid conditions adjusting for gender.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-09-08 00:47:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/832271"], "description"=>"<p>Seven factors were retained based upon changes in the slope associated with the eigenvalues. Parallel analysis and CFI criteria suggested 16 factors.</p>", "links"=>[], "tags"=>["eigenvalues", "matrix", "93"], "article_id"=>502642, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.g001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scree_plot_of_eigenvalues_from_a_factor_analysis_of_the_correlation_matrix_for_93_traits_N_8202_8202_13_138_/502642", "title"=>"Scree plot of eigenvalues from a factor analysis of the correlation matrix for 93 traits (N = 13,138).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-09-08 00:44:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/832520"], "description"=>"<p>CFI = Comparative Fit index.</p><p>RMSEA = Root mean square error of approximation.</p><p>SRMR = Standardised root mean square residual.</p><p>All the model χ<sup>2</sup> values were highly significant (p<0.0001). For the 7 factors in this study, the overall fit statistics suggested a reasonable to good fit. Examination of the 66 residual correlations >0.1 showed that they clustered within the factor structure: 6 related to Factor 2 variables 6–24 m (6.6% of all inter-correlations within this group), 7 (19.4%) related to Factors 1/2 variables 30–42 m, 8 (7.6%) related to Factor 1 variables 57 m–9y, 4 (8.9%) to Factor 3 variables, 10 (12.8%) to Factor 4, 7 (19.4%) to Factor 5, 12 (21.8%) to Factor 6 and 12 (18.2%) to Factor 7.</p><p>The variance explained is expressed as a percentage of the sum of the communalities. This latter measure can exceed 100% due to the presence of negative eigenvalues. Residual correlations >0.1 and >0.05 are reported as a percentage of the 4278 pairwise correlations.</p>", "links"=>[], "tags"=>["models", "retaining", "20", "factors", "93"], "article_id"=>502891, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.t001", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Goodness_of_fit_tests_for_models_retaining_1_to_20_factors_from_an_analysis_of_93_traits_N_8202_8202_13_138_/502891", "title"=>"Goodness-of-fit tests for models retaining 1 to 20 factors from an analysis of 93 traits (N = 13,138).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-09-08 00:48:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/832374"], "description"=>"<p>The figure shows the associations for the four genetic markers with the traits (N = 7959–8436 for factors and Factor mean score; 7324–7760 for individual measures). Effect sizes are reported as a proportion of a SD for each outcome for each copy of the minor allele. Approximate 5% and 1% grid lines are shown.</p>", "links"=>[], "tags"=>["associations"], "article_id"=>502749, "categories"=>["Genetics", "Medicine"], "users"=>["Colin D. Steer", "Jean Golding", "Patrick F. Bolton"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012633.g003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genetic_associations_with_the_traits_/502749", "title"=>"Genetic associations with the traits.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-09-08 00:45:49"}

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  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

Relative Metric

{"start_date"=>"2010-01-01T00:00:00Z", "end_date"=>"2010-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[288, 576, 733, 867, 984, 1087, 1182, 1267, 1346, 1424, 1501, 1577, 1646, 1711, 1778, 1841, 1908, 1970, 2034, 2102, 2162, 2227, 2296, 2359, 2422, 2482, 2550, 2610, 2679, 2747, 2820, 2887, 2955, 3009, 3067, 3130, 3200, 3257, 3322, 3379, 3443, 3507, 3571, 3632, 3683, 3753, 3822, 3877]}, {"subject_area"=>"/Biology and life sciences/Behavior", "average_usage"=>[358, 640, 799, 934, 1037, 1131, 1238, 1324, 1392, 1449, 1529, 1591, 1661, 1730, 1789, 1862, 1931, 2014, 2064, 2120, 2198, 2264, 2335, 2418, 2487, 2545, 2601, 2688, 2770, 2862, 2934, 2984, 3052, 3111, 3177, 3239, 3292, 3341, 3394, 3451, 3502, 3578, 3631, 3672, 3734, 3798, 3864, 3947, 4014]}, {"subject_area"=>"/Biology and life sciences/Psychology", "average_usage"=>[323, 585, 727, 835, 942, 1041, 1109, 1179, 1259, 1344, 1412, 1488, 1547, 1598, 1659, 1733, 1813, 1855, 1911, 1987, 2045, 2121, 2180, 2255, 2327, 2376, 2427, 2477, 2545, 2585, 2663, 2725, 2762, 2846, 2893, 2950, 3007, 3065, 3134, 3207, 3257, 3297, 3338, 3400, 3453, 3514, 3560, 3602, 3643]}, {"subject_area"=>"/People and places", "average_usage"=>[300, 565, 713, 834, 949, 1067, 1154, 1249, 1325, 1400, 1475, 1554, 1619, 1696, 1757, 1821, 1905, 1968, 2034, 2088, 2147, 2218, 2289, 2365, 2434, 2491, 2560, 2618, 2682, 2777, 2842, 2910, 2977, 3035, 3107, 3178, 3250, 3313, 3383, 3445, 3512, 3569, 3631, 3683, 3748, 3818, 3882, 3942]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[304, 560, 714, 827, 946, 1046, 1150, 1244, 1322, 1408, 1484, 1558, 1621, 1693, 1757, 1815, 1874, 1948, 2005, 2085, 2139, 2219, 2279, 2346, 2401, 2469, 2533, 2588, 2680, 2736, 2797, 2901, 2956, 2990, 3068, 3166, 3223, 3286, 3345, 3419, 3469, 3533, 3583, 3648, 3694, 3765, 3818, 3884]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[323, 585, 727, 835, 942, 1041, 1109, 1179, 1259, 1344, 1412, 1488, 1547, 1598, 1659, 1733, 1813, 1855, 1911, 1987, 2045, 2121, 2180, 2255, 2327, 2376, 2427, 2477, 2545, 2585, 2663, 2725, 2762, 2846, 2893, 2950, 3007, 3065, 3134, 3207, 3257, 3297, 3338, 3400, 3453, 3514, 3560, 3602, 3643]}]}
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