Meta-analysis models with group structure for pleiotropy detection at gene and variant level using summary statistics from multiple datasets.

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Title: Meta-analysis models with group structure for pleiotropy detection at gene and variant level using summary statistics from multiple datasets.
Authors: Sugier PE; Laboratoire de Mathématiques et de leurs Applications de Pau, Université de Pau et des Pays de l'Adour, UMR CNRS 5142, E2S-UPPA, France.; Team 'Exposome and Heredity', Paris-Saclay University, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France.; Université Paris Cité, CNRS, MAP5, F-75006 Paris, France., Asgari Y; Team 'Exposome and Heredity', Paris-Saclay University, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France., Sedki M; Team 'Psychiatrie du développement et trajectoires', Paris-Saclay University, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France., Truong T; Team 'Exposome and Heredity', Paris-Saclay University, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France., Liquet B; Laboratoire de Mathématiques et de leurs Applications de Pau, Université de Pau et des Pays de l'Adour, UMR CNRS 5142, E2S-UPPA, France.; School of Mathematical and Physical Sciences, Macquarie University, Sydney, Australia.
Source: Biostatistics (Oxford, England) [Biostatistics] 2025 Dec 31; Vol. 26 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100897327 Publication Model: Print Cited Medium: Internet ISSN: 1468-4357 (Electronic) Linking ISSN: 14654644 NLM ISO Abbreviation: Biostatistics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1468-4357
DOI:10.1093/biostatistics/kxaf037