Summary statistics of eQTLs obtained from single-nuclei RNA-seq in 8 major brain cell-types for mendelian randomisation

This dataset contains cis-eQTL summary statistics for 8 brain cell-types, generated on a snRNA-seq dataset on post-mortem brains from 391 individuals (full), as well as a controls-only (subset of full, 183 individuals). Genotype dosage matrices were obtained with SeqArray, where 0 = homozygous alt, 1 = heterozygous, 2 = homozygous ref https://bioconductor.org/packages/release/bioc/manuals/SeqArray/man/SeqArray.pdf . The eQTL models as applied by MatrixEQTL therefore use "ref" as the effect allele (as implemented in their additive model). The eQTL summary statistics for within the "full" and "controls-only" dataset have been packed into .tar.gz files for each cell-type, where unpacking will yield summary statistics by chromosome. Each file contains the following columns; 1. SNP (in rsid format) 2. gene (in symbol format) 3. t.stat (t-statistic as determined by MatrixEQTL) 4. p.value (linear model association p-value) 5. FDR (false discovery rate as determined by MatrixEQTL) 6. beta (effect size / slope of the linear model) 7. chrom (chromosome in "chrN" format) 8. position (SNP position) 9. effect_allele (this is the "ref" allele as described above) 10. other_allele (alternate allele) 11. maf (minor allele frequency, as determined by SeqArray on this dataset)本数据集包含8种脑细胞类型的顺式eQTL（cis-eQTL）汇总统计量，其基于来自391名个体的死后脑组织单细胞核RNA测序（snRNA-seq）完整数据集生成，同时还包含仅对照组子集（完整数据集的子集，共183名个体）的对应统计量。 基因型剂量矩阵通过SeqArray工具获取，其中编码0代表纯合突变型（homozygous alt）、1代表杂合型（heterozygous）、2代表纯合参考型（homozygous ref），详细说明可查阅https://bioconductor.org/packages/release/bioc/manuals/SeqArray/man/SeqArray.pdf。本研究采用MatrixEQTL构建eQTL模型，该模型以参考等位基因（ref）作为效应等位基因，与该工具加性模型的默认实现逻辑一致。 完整数据集与仅对照组数据集的eQTL汇总统计量已按细胞类型打包为.tar.gz格式文件，解压后可获取按染色体划分的汇总统计文件。每个文件包含以下列： 1. SNP：采用rsid标识符格式 2. gene：采用基因符号格式 3. t.stat：MatrixEQTL计算得到的t统计量 4. p.value：线性模型关联分析的P值 5. FDR：错误发现率（false discovery rate, FDR），由MatrixEQTL计算得到 6. beta：线性模型的效应量/回归斜率 7. chrom：采用"chrN"格式的染色体编号 8. position：SNP的基因组位置 9. effect_allele：即前文所述的参考等位基因（ref） 10. other_allele：替代等位基因 11. maf：次要等位基因频率（minor allele frequency），由本数据集通过SeqArray计算得到