Cargando…
Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes
BACKGROUND: Transcriptome studies are gaining momentum in genomic epidemiology, and the need to incorporate these data in multivariable models alongside other risk factors brings demands for new approaches. METHODS: Here we describe SPECTRA, an approach to derive quantitative variables that capture...
Autores principales: | Griffin, Rosalie, Hanson, Heidi A., Avery, Brian J., Madsen, Michael J., Sborov, Douglas W., Camp, Nicola J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150248/ https://www.ncbi.nlm.nih.gov/pubmed/36857768 http://dx.doi.org/10.1158/1055-9965.EPI-22-0798 |
Ejemplares similares
-
Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees
por: Griffin Waller, Rosalie, et al.
Publicado: (2021) -
Sequencing at lymphoid neoplasm susceptibility loci maps six myeloma risk genes
por: Waller, Rosalie Griffin, et al.
Publicado: (2021) -
Toxicity management strategies for next-generation novel therapeutics
in multiple myeloma
por: Steinbach, Mary, et al.
Publicado: (2022) -
Hospitalization at the end of life in patients with multiple myeloma
por: Abbasi, Saqib, et al.
Publicado: (2021) -
The Landscape of Currently Enrolling Maintenance Trials in Multiple Myeloma
por: Tariq, Syed Maaz, et al.
Publicado: (2023)