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Dataset results
6 results for “meta-GWAS”
Summary Statistics from "Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2"
<p>GWAMA summary statistics of PCSK9 levels using fixed-effect model. Genome-wide data is given for Europeans with statin adjustment and Europeans without statin treatment only (subset of the population). In addition, locus-wide data of the PCSK9 gene locus for African-Americans without statin treatment is listed.</p> <p>When using this data, please cite: Pott J, Gadin J, Theusch E, et al.. Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2. Hum Mol Genet. 2021 Sep 30:ddab279. doi: 10.1093/hmg/ddab279. PMID: 34590679</p> <p>All txt files contain the following columns:</p> <ul> <li>markername</li> <li>chr</li> <li>bp_hg19 (base position according to hg19)</li> <li>ea (effect allele)</li> <li>oa (other allele)</li> <li>eaf (effect allele frequency)</li> <li>info (minimal info score across all used studies)</li> <li>nSamples (sample size per SNP)</li> <li>nStudies (number of studies)</li> <li>beta (effect estimate)</li> <li>se (standard error)</li> <li>p (p-value)</li> <li>I2 (SNP heterogeneity across studies)</li> <li>phenotype (phenotyp setting)</li> </ul>
Meta-GWAS for age-related hearing impairement
<p>The dataset comprises summary statistics from the meta-GWAS of 17 studies on age-related hearing impairement. The dataset accompanies the following paper:</p> <p><strong>Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in age-related hearing impairment</strong></p> <p>Please cite the paper if using this dataset.</p> <p>Phenotype of ARHI was established using ICD diagnoses and self-reported hearing loss. The study comprised 148,152 cases and 575,472 controls or European ancestry. Adult male and female participants were included from the following 17 population-based cohort studies: Age, Genes/Environment Susceptibility - Reykjavik (AGES), the Danish Twin Registry (DTR), the Estonian Genome Center at the University of Tartu (EGCUT), FinnGen, Framingham Heart Study (FHS), Health Aging and Body Composition (HABC), Italian Network of Genetic Isolates - Friuli Venezia Giulia (INGI-FVG), the Rotterdam Study (RS, cohorts 1 - 3), the Salus in Apulia study (SA; formerly known as Great Age study), Screening Across the Lifespan Twin (SALT and SALTY - young), Screening Twin Adults: Genes and Environment (STAGE), TwinsUK, UK Biobank (UKBB), and the Women’s Genome Health Study (WGHS). </p> <p>UK Biobank data have been used under project #11516.</p> <p>Individual GWASs have been QC'd and harmonyzed using EasyQC followed by fixed-effects IVW meta-analysis using METAL. The dataset includes the results of meta-analysis for n = 8,244,938 SNV with MAF >0.001 and present in at least 9 cohorts.<br> <br> <strong>Dataset columns:</strong></p> <p>SNP, rsID</p> <p>CHR, chromosome</p> <p>BP, genomic position (hg19)</p> <p>Allele1, effect allele</p> <p>Allele2, other allele</p> <p>Freq1, mean frequency of Allele1</p> <p>FreqSE, standard error of Freq1</p> <p>MinFreq, minimal frequency of Allele1 in the study cohorts</p> <p>MaxFreq, maximal frequency of Allele1 in the study cohorts</p> <p>Effect, effect size from the meta-analysis for Allele1</p> <p>StdErr, standard error of Effect</p> <p>P.value, corresponding p-value for meta-analysis</p> <p>Direction, direction of effects in individual studies</p> <p>HetISq, I<sup>2</sup> statistic for heterogeneity between studies</p> <p>HetChiSq, chi<sup>2</sup> statistic for heterogeneity between studies</p> <p>HetDf, degrees of freedom for the chi<sup>2</sup> statistic</p> <p>HetPval, p-value for heterogeneity between studies</p> <p>N, summary sample size</p> <p><strong>Dataset columns description:</strong></p> <p> </p> <p> </p> <p> </p> <p> </p> <p>Seventeen studies included:</p> <p> </p> <p> </p>
Meta-GWAS of Age at Type 1 Diabetes Diagnosis
<p>7,923 subjects with type 1 diabetes from five studies (SDRNT1BIO, DCCT, CACTI, WESDR and EDC) were included in this analysis. This dataset includes summary stats for 8,154,711 autosomal SNPs.</p>
Meta-GWAS of C-peptide in Type 1 Diabetes
<p>7,252 subjects with type 1 diabetes from four studies (SDRNT1BIO, DCCT, CACTI and WESDR) were included in this analysis. This dataset includes summary stats for 8,150,646 autosomal SNPs.</p>
Identifying the impact of intergenic variants from meta-GWAS of Rheumatoid Arthritis
GEO Series GSE101812. Homo sapiens. 5 samples. Type: Other.
Meta-GWAS of lumbar spinal disorders
<p>Summary statistics from meta-GWAS of lumbar spinal disorders</p>
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OpenNeuro
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