Summary statistics of UK Biobank blood pressure genome-wide association studies (GWAS) using 337,422 unrelated white European individuals

Three blood pressure traits were analysed: systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP; the difference between SBP and DBP). Mean SBP and DBP values from automated values were calculated. After calculating blood pressure values, SBP and DBP were adjusted for medication use by adding 15 and 10 mm Hg to their values, respectively, for individuals reported to be taking blood pressure–lowering medication.For the UK Biobank genome-wide association studies (GWAS), we performed linear mixed model (LMM) association testing under an additive genetic model of the three continuous, medication-adjusted blood pressure traits (SBP, DBP, PP) for all measured and imputed genetic variants (Data Field-22828) with minor allele frequency (MAF) >=1% and imputation score>=0.3 in dosage format using the BOLT-LMM (v2.4.1) software. Covariates were age, age2, sex, BMI, genotyping array and 10PCs. Genomic inflation was not applied to the GWAS summary statistics.Sample QC was described below:We included up to 337,422 individuals from UK Biobank for the purpose of this project. We followed UK Biobank sample-based quality control criteria (Nature 2018;562:203-209); excluded were samples/individuals based on the following criteria: (i) outliers in heterozygosity and missingness, (ii) self-reported gender not consistent with genetic data inferred gender (ii) sample call rate (computed using probesets internal to Affymetrix)

本研究分析了三项血压特征：收缩压（SBP）、舒张压（DBP）和脉压（PP；SBP与DBP之差）。基于自动测量的数据，计算了平均SBP和DBP值。在计算血压值后，针对报告服用降压药的个人，对SBP和DBP分别增加了15和10毫米汞柱，以调整药物使用对血压的影响。对于英国生物样本库的全基因组关联研究（GWAS），在加性遗传模型下，我们对三项连续的、经过药物调整的血压特征（SBP、DBP、PP）进行了线性混合模型（LMM）关联测试，测试对象包括所有测量的和推断的遗传变异（数据字段-22828），这些变异的等位基因频率（MAF）≥1%且推断分数≥0.3，采用剂量格式使用BOLT-LMM（v2.4.1）软件。协变量包括年龄、年龄平方、性别、BMI、基因分型阵列和10个主要成分。未对GWAS汇总统计量应用基因组膨胀校正。以下是样本质量控制（QC）的描述：为本研究目的，我们纳入了英国生物样本库中最多337,422名个体。我们遵循了英国生物样本库基于样本的质量控制标准（Nature 2018;562:203-209）；排除标准如下：（i）杂合性异常和缺失值异常，（ii）自我报告的性别与从遗传数据推断的性别不一致，（iii）样本调用率（使用Affymetrix内部探针集计算）