1,721,766 research outputs found
SUPERSEDED - Summary statistics for three depression phenotypes in UK Biobank
No full text## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2314 ##
Depression is a polygenic trait that causes extensive periods of disability and increases the risk of suicide, a leading cause of death in young people. Previous genetic studies have identified a number of common risk variants which have increased in number in line with increasing sample sizes. We conducted a genome-wide association study (GWAS) in the largest single population-based cohort to date, UK Biobank. This allowed us to estimate the effects of ≈ 8 million genetic variants in 320,000 people for three depression phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. Each phenotype was found to be significantly genetically correlated with the results from a previous independent study of clinically defined MDD. We identified 14 independent loci that were significantly associated (P < 5 × 10-8) with broad depression, two independent variants for probable MDD, and one independent variant for ICD-coded MDD. Gene-based analysis of our GWAS results with MAGMA revealed 46 regions significantly associated (P < 2.77 × 10-6) with broad depression, two significant regions for probable MDD and one significant region for ICD-coded MDD. Gene region-based analysis of our GWAS results with MAGMA revealed 59 regions significantly associated (P < 6.02 × 10-6) with broad depression, of which 27 were also detected by gene-based analysis. Variants for broad depression were enriched in pathways for excitatory neurotransmission, mechanosensory behavior, postsynapse, neuron spine and dendrite. This study provides a number of novel genetic risk variants that can be leveraged to elucidate the mechanisms of MDD and low mood.UKBiobank_broad_depression_170929.txt - Summary statistics for broad depression
UKBiobank_probable_MDD_170929.txt - Summary statistics for probable MDD
UKBiobank_icdcoded_MDD_170929.txt - Summary statistics for icd-coded MDD
readme.txt - File description
Methylome-wide association study of early life stressors and adult mental health
No full textThe environment and events that we are exposed to in utero, during birth and in early childhood influence our future physical and mental health. The underlying mechanisms that lead to these outcomes are unclear, but long-term changes in epigenetic marks, such as DNA methylation, could act as a mediating factor or biomarker. DNA methylation data was assayed at 713,522 CpG sites from 9,537 participants of the Generation Scotland: Scottish Family Health Study, a family-based cohort with extensive genetic, medical, family history and lifestyle information. Methylome-wide association studies of eight early life environment phenotypes and two adult mental health phenotypes (major depressive disorder and brief resilience scale) were conducted using DNA methylation data collected from adult whole blood samples. Two genes involved with different developmental pathways (PRICKLE2 and ABI1) were annotated to CpG sites associated with preterm birth (P < 1.27×10-9). A further two genes important to the development of sensory pathways (SOBP and RPGRIP1) were annotated to sites associated with low birth weight (P < 4.35×10-8). The examination of methylation profile scores and genes and gene-sets annotated from associated CpGs sites found no evidence of overlap between the early life environment and mental health conditions. Birth date was associated with a significant difference in estimated lymphocyte and neutrophil counts. Previous studies have shown that early life environments influence the risk of developing mental health disorders later in life; however, this study found no evidence that this is mediated by stable changes to the methylome detectable in peripheral blood.
The files below contain the summary statistics calculated for each of the phenotypes examined using two different methylation-wide association study approaches (MWAS 1 and MWAS 2).The 10 MWAS 1 files each contain a header row and then each subsequent row provides the association study results for 713522 CpG sites. The columns are ID CHR MAPINFO P.Value beta se N and are space delimited. ID is the the CpG name, CHR is the chromosome location, MAPINFO is the base pair position based on genome assembly GRCh37 (hg19), P.Value is the P-value for the association between the CpG site and the phenotype, beta is the effect size, se is the standard error, and N is the number of individuals assessed in the analysis.
The 10 MWAS 2 files each contain a header row and then each subsequent row provides the association study results for 713522 CpG sites. The columns are Chr Probe bp Gene Orientation b se p and are space delimited. Chr is the chromosome location, Probe is the the CpG name, bp is the base pair position based on genome assembly GRCh37 (hg19), Gene is annotation for the CpG site provide by OmicS-data-based Complex trait Analysis (OSCA), Orientation is the orientation reported by OSCA, b is the effect size, se is the standard error and p is the P-value for the association between the CpG site and the phenotype
75th Anniversary. University of Idaho. Homer David, Howard David, Dr. L.H. Chamberlain, Earl David, and James H. Roper. [246-25]
No full text1964 photograph of 75th Anniversary. Homer David, Howard David, Dr. L.H. Chamberlain, Earl David, and James H. Roper. [PG1_246-25
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
75th Anniversary. University of Idaho. Homer David, Gale Mix, James H. Roper, Dr. L.H. Chamberlain, Earl David, unidentified, and Howard David. [246-26]
No full text1964 photograph of 75th Anniversary. Homer David, Gale Mix, James H. Roper, Dr. L.H. Chamberlain, Earl David, unidentified, and Howard David. [PG1_246-26
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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