outcome_data <- read_outcome_data( + filename = "outcome_all_gut.csv", + sep = ",", + snp_col = "rsID", + beta_col = "beta", + se_col = "SE", + phenotype_col = "bac", + effect_allele_col = "eff.allele", + other_allele_col = "ref.allele", + chr_col = "chr", + pos_col = "bp", + snps = exposure_data$SNP) Error in `$<-.data.frame`(`*tmp*`, "mr_keep.outcome", value = TRUE) : 替换数据里有1行，但数据有0

读取outcome数据时遇到错误，原因是数据框中没有匹配的SNP行。4

错误原因

• SNP匹配失败：暴露数据和结局数据中的SNP列不匹配，导致无法找到正确的行。4

解决方案

• 检查SNP列：确保暴露数据和结局数据中的SNP列是包含与被包含关系。4
• 数据预处理：使用format_data()函数将数据转化为TwoSampleMR格式。11
• 重新读取数据：确保read_outcome_data()函数的参数正确，特别是snp_col和snps参数。3

示例代码

# 使用format_data()函数预处理数据
formatted_data <- format_data(outcome_all_gut, type = "outcome", snp_col = "rsID", beta_col = "beta", se_col = "SE", phenotype_col = "bac", effect_allele_col = "eff.allele", other_allele_col = "ref.allele", chr_col = "chr", pos_col = "bp")

# 重新读取outcome数据
outcome_data <- read_outcome_data(
  filename = "outcome_all_gut.csv",
  sep = ",",
  snp_col = "rsID",
  beta_col = "beta",
  se_col = "SE",
  phenotype_col = "bac",
  effect_allele_col = "eff.allele",
  other_allele_col = "ref.allele",
  chr_col = "chr",
  pos_col = "bp",
  snps = exposure_data$SNP)

通过以上步骤，可以解决SNP匹配失败的问题，确保数据读取成功。411