Improving fine-mapping by modeling infinitesimal effects
Improving fine-mapping by modeling infinitesimal effects
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Fine-mapping aims to identify causal genetic variants for phenotypes. Bayesian fine-mapping algorithms (for example, SuSiE, FINEMAP, ABF and COJO-ABF) are widely used, but assessing posterior probability calibration remains challenging in real data, where model misspecification probably exists, and true causal variants are unknown. We introduce rep...
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Improving fine-mapping by modeling infinitesimal effects
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11056999
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11056999
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ISSN
1061-4036,1546-1718
E-ISSN
1546-1718
DOI
10.1038/s41588-023-01597-3
