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  "Title": "The MRAPSS package implement the MR-APPSS approach to test for\nthe causal effect of an exposure on a outcome disease.",
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  "Authors@R": "person(given = \"Xianghong\",\nfamily = \"HU\",\nrole = c(\"aut\", \"cre\"),\nemail = \"maxhu@ust.hk\",\ncomment = c(ORCID = \"0000-0001-5260-3936\"))",
  "Description": "The MRAPSS package implement the MR-APPSS approach to test\nfor the causal effects between an exposure and a outcome\ndisease. The MR-APPSS is a unified approach to Mendelian\nRandomization accounting for polygenicity, pleiotropy and\nsample structure using genome-wide summary statistics.\nSpecifically, MR-APPSS uses a background-foreground model to\ncharacterize both SNP-exposure effects and SNP-outcome effects\nestimates, where the background model accounts for confounding\nfrom genetic correlation and sample structure and the\nforeground model captures the valid signal for causal\ninference.",
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  "Date/Publication": "2026-04-30 10:09:51 UTC",
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      "title": "Perform LD clumping",
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