PAD meta-analysis van Zuydam et al. 2020

There are 6 files that include summary statistics from the analysis of PAD:<br>1. pad_primary.txt.gz2. pad_diabetes.txt.gz 3. pad_nodiabetes.txt.gz4. pad_diabetesvsnodiabetes.txt.gz 5. pad_neversmoker.txt.gz6. pad_eversmoker.txt.gz 7. pad_eversmokervsneversmoker.txt.gz<br>Each file contains the following columns:<br>1) "chr" - Chromosome 2) "bp" - base pair position 3) "or_allele" - the allele which the odds ratio refers to 4) "nonor_allele" - the other allele 5) "snp" - refsnp id 6) "eaf" - effect allele frequency of the or allele 7) "or" - odds ratio 8) "or_se" - standard error of the odds ratio 9) "p" - p value of significance 10) "ncases" - number of cases 11) "ncontrols" - number of controls <br>The ever smoker vs never smoker / diabetes vs no diabetes files contain extra columns:<br>12) "pint" - the interaction p value for differences in odds ratios between strata13) "NEFF" - effective sample size. In the final meta-analyses NEFF&gt;=4000 was used to filter variants. For the interaction summary statistics we included the variant in both strata even if it only passed QC in one. N.B. treat variants with NEFF&lt;4000 with caution.<br>Any issues with these summary statistics please contact [e-mail]<br>本数据集共包含7个文件，均来自外周动脉疾病（PAD）的关联分析汇总统计结果，具体文件列表如下：<br>1. pad_primary.txt.gz<br>2. pad_diabetes.txt.gz<br>3. pad_nodiabetes.txt.gz<br>4. pad_diabetesvsnodiabetes.txt.gz<br>5. pad_neversmoker.txt.gz<br>6. pad_eversmoker.txt.gz<br>7. pad_eversmokervsneversmoker.txt.gz<br>每个文件均包含以下列：<br>1) "chr" - 染色体（Chromosome）<br>2) "bp" - 碱基对位置（base pair position）<br>3) "or_allele" - 优势比关联等位基因<br>4) "nonor_allele" - 非优势比关联等位基因<br>5) "snp" - 参考SNP编号（refsnp id）<br>6) "eaf" - 优势比关联等位基因的效应等位基因频率<br>7) "or" - 优势比（odds ratio）<br>8) "or_se" - 优势比的标准误<br>9) "p" - 显著性p值<br>10) "ncases" - 病例数<br>11) "ncontrols" - 对照数<br>针对吸烟史分层对比（曾吸烟者vs从未吸烟者）以及糖尿病分层对比（患糖尿病vs未患糖尿病）的文件，额外包含以下两列：<br>12) "pint" - 各分层间优势比差异的交互作用p值<br>13) "NEFF" - 有效样本量。在最终的荟萃分析中，我们以有效样本量≥4000作为阈值筛选遗传变异位点；对于交互作用汇总统计结果，即使某遗传变异仅在一个分层中通过质量控制（Quality Control，QC），我们仍将其纳入两个分层的分析中。请注意：请谨慎对待有效样本量<4000的遗传变异位点。<br>若您在使用此类汇总统计结果时遇到任何问题，请联系邮箱[e-mail]。