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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Common factor GWAS and TWAS output for nociplastic type pain

Authors: , Johnston; Huckins; Signer;

Common factor GWAS and TWAS output for nociplastic type pain

Abstract

file: GSEM_commonFactorGWAS_COPC_6trait_30MAY2023.csv.gz description: Common factor GWAS output for GenomicSEM analyses of 6 COPC traits (see doi: https://doi.org/10.1101/2023.06.27.23291959) columns: SNP = rsID SNP identifier CHR = chromosome BP = base pair position MAF = minor allele frequency A1 = effect allele A2 = other allele i = index (1 - n SNPs) lhs = left hand side of equation op = equation operator (lavaan syntax) rhs = right hand side of equation est = effect size (beta) se_c = standard error of effect estimate Z_Estimate = Z value Pval_Estimate = p value of effect Q = Q (heterogeneity) value Q_df = degrees of freedom for Q Q_pval = Q p value fail = GSEM fail message if applicable warning = GSEM warning message if applicable Z_smooth = smoothing parameter if applicable N_estimate = N estimate file: GSEM_commonFactorTWAS_COPC_6trait_30MAY2023.csv.gz description: Common factor TWAS output for GenomicSEM analyses of 6 COPC traits (see doi: https://doi.org/10.1101/2023.06.27.23291959) columns: Gene = ensembl gene ID Panel = which model (tissue+gene) i.e. reference weights file HSQ = gene heritability i = index (1 - n gene-tissue models) lhs = equation left hand side op = operator (lavaan syntax) rhs = equation right hand side est = association estimate (beta) se_c = standard error of beta Z_Estimate = Z value Pval_Estimate = p value of association test Q = Q (heterogeneity) value Q_df = degrees of freedom for Q Q_pval = p value for Q fail = GSEM fail message if applicable warning = GSEM warning message if applicable tissue = tissue p_bonf_tissue = adjusted p value - bonferroni adjustment within tissue p_fdr_tissue = adjusted p value - false discovery rate adjustment within tissue threshold_bonf_tissue = p value threshold for bonferroni adjustment within tissue p_bonf_experiment = adjusted p value - bonferroni adjustment experiment-wide p_threshold_bonf_experiment = p value threshold (bonferroni, experiment-wide) Q_bonf_tissue = adjusted p value for Q, bonferroni within-tissue

associated with doi: https://doi.org/10.1101/2023.06.27.23291959

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Keywords

chronic overlapping pain conditions, common factor GWAS, multivariate TWAS, nociplastic pain, genomic SEM

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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