Chen, F., Wang, X., Jang, S.-K., Quach, B. C., Weissenkampen, J. D., Khunsriraksakul, C., Yang, L., Sauteraud, R., Albert, C. M., Allred, N. D. D., Arnett, D. K., Ashley-Koch, A. E., Barnes, K. C., Barr, R. G., Becker, D. M., Bielak, L. F., Bis, J. C., Blangero, J., Boorgula, M. P., … Liu, D. J. (2023). Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. Nature Genetics, 55(2), 291–300. https://doi.org/10.1038/s41588-022-01282-x
Columbia Affiliation:
Subjects:
Genomic Studies and Association Analyses
(OpenAlex Topic)
Analysis of Gene Interaction Networks
(OpenAlex Topic)
Peroxisome Proliferator-Activated Receptors
(OpenAlex Topic)
Transcriptome
(MeSH)
Drug Repositioning
(MeSH)
Publication Type:
Article
Unique ID:
10.1038/s41588-022-01282-x
PMID:
Journal:
Publication Date:
Data Source:
PubMed