Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk.

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Title: Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk.
Authors: Lu Z; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. zeyunlu@usc.edu.; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. zeyunlu@usc.edu.; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA. zeyunlu@usc.edu., Wang X; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Carr M; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Kim A; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Gazal S; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA., Mohammadi P; Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA, USA.; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Wu L; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI, USA., Pirruccello J; Division of Cardiology, University of California San Francisco, San Francisco, CA, USA., Kachuri L; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA., Gusev A; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA., Mancuso N; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. nicholas.mancuso@med.usc.edu.; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. nicholas.mancuso@med.usc.edu.; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA. nicholas.mancuso@med.usc.edu.
Source: Nature genetics [Nat Genet] 2025 Aug; Vol. 57 (8), pp. 1881-1889. Date of Electronic Publication: 2025 Jul 21.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-1718
DOI:10.1038/s41588-025-02262-7