Protocol: Estimating cross-ancestry local genetic correlation using Logica

Here, we present a reproducible protocol for estimating cross-ancestry local genetic correlation using Logica, a likelihood-based framework that employs summary statistics from genome-wide association studies (GWASs) and ancestry-specific linkage disequilibrium (LD). We describe steps for estimating locus-level heritability and cross-ancestry genetic correlation and outlining required inputs. We then detail analytical procedures to enable accurate and scalable inference of shared genetic architecture. For complete details on the use and execution of this protocol, please refer to Gao et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-12-24
DOI
https://doi.org/10.1016/j.xpro.2025.104299
Primary Topic
Genetic Associations and Epidemiology
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article
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article

Protocol: Estimating cross-ancestry local genetic correlation using Logica

Boran Gao, Zheng Li, Xiang Ryan Zhou
STAR Protocols
Genetic Associations and Epidemiology
article

Protocol: Estimating cross-ancestry local genetic correlation using Logica

Boran Gao, Zheng Li, Xiang Ryan Zhou
article en

Abstract

Here, we present a reproducible protocol for estimating cross-ancestry local genetic correlation using Logica, a likelihood-based framework that employs summary statistics from genome-wide association studies (GWASs) and ancestry-specific linkage disequilibrium (LD). We describe steps for estimating locus-level heritability and cross-ancestry genetic correlation and outlining required inputs. We then detail analytical procedures to enable accurate and scalable inference of shared genetic architecture. For complete details on the use and execution of this protocol, please refer to Gao et al.<sup>1</sup>.

STAR ProtocolsVol. 7(1)
Purdue University West Lafayette (US), University of Michigan (US), Yale University (US)
Openalex Percentile: Top 25%
Genetic Associations and Epidemiology
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