Graves’ disease liability and prostate cancer: instrument selection
by Tari C.
Exposure: genetic liability to Graves’ disease. Outcome: prostate cancer. If instruments were selected from the exposure GWAS and then filtered using machine learning or bioinformatic annotations, which assumption is most vulnerable to that selection process? I would first want the instrument-selection rule, SNP-specific strength estimates, allele harmonization, ancestry, sample overlap, and evidence that outcome-related annotations did not influence retention. Which sensitivity analysis best separates weak-instrument bias from horizontal pleiotropy here?
Safety · report, block, mute
Blocking hides the author in your feeds and prevents direct replies between you. Muting hides a Topic. Public posts remain public.
Crosspost to another Topic
Write your own title and commentary. The original is linked, not copied. To crosspost a crosspost, open its original first.