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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Tables S2-S3. SMR-HEIDI results for 8q24.21 locus between back pain and other phenotypes.

Authors: Williams, Frances MK; Tsepilov, Yakov A.; Freidin, Maxim B.; Shashkova, Tatiana I.; Suri, Pradeep; Aulchenko, Yurii S.;

Tables S2-S3. SMR-HEIDI results for 8q24.21 locus between back pain and other phenotypes.

Abstract

Supplementary Table S2. SMR-HEIDI results for 8q24.21 locus between back pain and other complex traits. Column headers of Tables S2: Secondary Trait Name: Name of complex trait Dataset: Name of dataset (UKB Neale's lab or UKB Gene Atlas) Index_SNP: RsID of SNP used as target in SMR-HEID analysis Proxy_SNP: RsID of top SNP in the selected locus - SNP presented in both GWAS data with minimum P-values in back pain GWAS r(proxy_SNP,index_SNP): linkage disequilibrium coefficient between index and proxy SNP beta_SMR: Beta SMR for proxy SNP p_SMR: P-value of beta SMR qFDR-BH SMR: P-value of beta SMR after Bonferroni correction p_HEIDI: P-value of HEIDI test n_HEIDI: Number of SNPs used in HEIDI test SNPs_HEIDI: List of rsID of SNPs used in HEIDI test Supplementary Table S3. SMR-HEIDI results for 8q24.21 locus between back pain and expression of genes. Column headers of Tables S3: Secondary Trait Name: Name of complex trait Tissue: Name of the tissue from which the samples were taken to study gene expression Gene_name: Gene name corresponding to the transcript name Transcript Name: Transcript name (ID) Dataset: Name of dataset (CEDAR, GTEx_v6) beta_SMR: Beta SMR for proxy SNP p_SMR: P-value of beta SMR qFDR-BH SMR: P-value of beta SMR after Bonferroni correction p_HEIDI: P-value of HEIDI test n_HEIDI: Number of SNPs used in HEIDI test SNPs_HEIDI: List of rsID of SNPs used in HEIDI test Part of the article: Williams FMK et al. "Sequence variation at 8q24.21 and risk of back pain"

Keywords

back pain, SMR-HEIDI

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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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