Logica: A likelihood framework for cross-ancestry local genetic correlation estimation using summary statistics.

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Bibliographic Details
Title: Logica: A likelihood framework for cross-ancestry local genetic correlation estimation using summary statistics.
Authors: Gao B; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA; Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA. Electronic address: gao824@purdue.edu., Li Z; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA., Zhou X; Department of Statistics and Data Science, Yale University, New Haven, CT 06511, USA. Electronic address: xiang.zhou.xz735@yale.edu.
Source: American journal of human genetics [Am J Hum Genet] 2025 Nov 06; Vol. 112 (11), pp. 2789-2804. Date of Electronic Publication: 2025 Oct 23.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-6605 (Electronic) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1537-6605
DOI:10.1016/j.ajhg.2025.10.001