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Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations
Daniel S. Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Chris Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, NHLBI TOPMed Consortium, Hae Kyung Im, Ani Manichaikul, View ORCID ProfileHeather E. Wheeler
doi: https://doi.org/10.1101/2023.02.09.527747
Daniel S. Araujo
1Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA
Chris Nguyen
2Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA
Xiaowei Hu
3Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
Anna V. Mikhaylova
4Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
Chris Gignoux
5Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, UC Denver Anschutz Medical Campus, Aurora, CO, 80045, USA
Kristin Ardlie
6Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
Kent D. Taylor
7The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
Peter Durda
8Laboratory for Clinical Biochemistry Research, University of Vermont, Colchester, VT, 05446, USA
Yongmei Liu
9Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
George Papanicolaou
10Epidemiology Branch, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, Bethesda, MD, 20892, USA
Michael H. Cho
11Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, 02115, USA
Stephen S. Rich
3Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
Jerome I. Rotter
7The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
Hae Kyung Im
12Section of Genetic Medicine, The University of Chicago, Chicago, IL, 60637, USA
Ani Manichaikul
3Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
Heather E. Wheeler
1Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA
2Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA
Article usage
Posted February 09, 2023.
Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations
Daniel S. Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Chris Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, NHLBI TOPMed Consortium, Hae Kyung Im, Ani Manichaikul, Heather E. Wheeler
bioRxiv 2023.02.09.527747; doi: https://doi.org/10.1101/2023.02.09.527747
Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations
Daniel S. Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Chris Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, NHLBI TOPMed Consortium, Hae Kyung Im, Ani Manichaikul, Heather E. Wheeler
bioRxiv 2023.02.09.527747; doi: https://doi.org/10.1101/2023.02.09.527747
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