Article

Improving fine-mapping by modeling infinitesimal effects

2022-10-24

Abstract excerpt

Fine-mapping aims to identify causal variants for phenotypes. Bayesian fine-mapping algorithms (e.g.: SuSiE, FINEMAP, ABF, and COJO-ABF) are widely used, but assessing posterior probability calibration remains challenging in real data, where model misspecification likely exists, and true causal variants are unknown. We introduce Replication Failure Rate (RFR), a metric to assess fine-mapping consistency by down-sa...

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Literature Corpus work: a15acad5-142f-5703-bc35-bd23685fb523
DOI: 10.1101/2022.10.21.513123

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