Based on Fisher’s Exact Test (FET), we identified a total of 24 (53) pairs of trait-trait association at adjusted.Our study revealed that risk variants for 25 different traits aggregated in particular biological pathways and that these pathways were frequently shared among traits. 2015;20(5):563–72.Kao CF, Jia P, Zhao Z, Kuo PH. Publication of this article was sponsored by the startup funding to PJ.All the data used in this study are from public sources cited in our reference list. Acta Reumatol Port. Our results confirmed known mechanisms and also suggested several novel insights into the etiology of multi-traits.Genetic variants that affect multiple traits are often called pleiotropy [,GWAS data provide systematic, unbiased measurement of genome-wide variants. Controlling the false discovery rate - a practical and powerful approach to multiple testing. Detection and interpretation of shared genetic influences on 42 human traits. for genetic variants on the genotyping array and the imputed dataset, This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.The dataset contains meta-analyzed GWAS summary statistics for 35 biomarker traits described in the following preprint:For each phenotype, we provide two compressed tab-delimited files, Immunity. For a region with 1000 SNPs using AFR data from 1000 Genomes (∼600 samples), both methods were very fast (<30 s) for the simplest scenario of 1000 cases and 1000 controls. 2009;85(1):13–24.Jia P, Wang L, Meltzer HY, Zhao Z. Pathway-based analysis of GWAS datasets: effective but caution required. Why did it take so long? 2013;52(2):155–66.O'Shea JJ, Plenge R. JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. We chose those genes that had a gene-based,One of the advantages of pathway-based analysis is that the combined effect of multiple genes, instead of the effects of each individual gene, was examined for disease association. GWAS Catalog The NHGRI-EBI Catalog of human genome-wide association studies Examples: breast carcinoma , rs7329174 , Yao , 2q37.1 , HBS1L , 6:16000000-25000000 Part of,\( {\chi}_{2k}^2=-2{\sum}_{i=1}^k\ln \left({p}_i\right) \),\( \mid \overline{A}\cap \overline{B}\mid \),Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics,http://web.pasteur-lille.fr/en/recherche/u744/igap/igap_download.php,https://portals.broadinstitute.org/collaboration/giant/index.php/Main_Page,https://www.ibdgenetics.org/downloads.html,http://hgdownload.cse.ucsc.edu/downloads.html,https://bmcgenomics.biomedcentral.com/articles/supplements/volume-20-supplement-1,http://creativecommons.org/licenses/by/4.0/,http://creativecommons.org/publicdomain/zero/1.0/,https://doi.org/10.1186/s12864-018-5373-7.

The last database curation was done in Aug 2019. These results collectively shed lights on the molecular pathways underlying complex traits, both related or unrelated traits. This atlas is a database of publicly available GWAS summary statistics. 2017;8(21).The authors thank Drs. 2012;28(13):1797–9.Brown MB. Osteoporos Int. We also constructed a novel trait-trait association network to better examine the genetic association at the pathway level. Figure,Distribution of pathway-based analysis results in each trait. This is a pipeline for finemapping using GWAS summary statistics, implemented in Bash as a series of steps to furnish an incremental analysis. The dataset contains meta-analyzed GWAS summary statistics for 35 biomarker traits described in the following preprint:N. Sinnott-Armstrong*, Y. Tanigawa*, et al, Genetics of 38 blood and urine biomarkers in the UK Biobank. 2013;9(1):e1003087.Jia P, Wang L, Fanous AH, Pato CN, Edwards TL, Zhao Z. Network-assisted investigation of combined causal signals from genome-wide association studies in schizophrenia. All our analyses were confined with these limitations. This differs from full GWAS data which would have calls for every individual at every SNP.

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