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Article

Fine-mapping from summary data with the “Sum of Single Effects” model

2021-11-04

Abstract excerpt

In recent work, Wang et al introduced the “Sum of Single Effects” ( SuSiE ) model, and showed that it provides a simple and efficient approach to fine-mapping genetic variants from individual-level data. Here we present new methods for fitting the SuSiE model to summary data, for example to single-SNP z -scores from an association study and linkage disequilibrium (LD) values estimated from a suitable reference...

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Literature Corpus work
c2903268-a554-57aa-b597-5aab1ab0cb9b
DOI
10.1101/2021.11.03.467167
Open publication

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Fine-mapping from summary data with the “Sum of Single Effects” modelDOI 10.1101/2021.11.03.467167
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