Genome sequencing analysis of blood cells identifies germline haplotypes strongly associated with drug resistance in osteosarcoma patients.
Krithika BhuvaneshwarMichael HarrisYuriy GusevSubha MadhavanRamaswamy IyerThierry VilbouxJohn DeekenElizabeth YangSadhna ShankarPublished in: BMC cancer (2019)
We show that combining next generation sequencing data from multiple datasets and defined clinical data can better identify relevant pathway associations and clinically actionable variants, as well as provide insights into drug response mechanisms.
Keyphrases
- end stage renal disease
- electronic health record
- ejection fraction
- copy number
- induced apoptosis
- chronic kidney disease
- newly diagnosed
- big data
- single cell
- gene expression
- dna repair
- emergency department
- data analysis
- cell proliferation
- endoplasmic reticulum stress
- dna damage
- deep learning
- artificial intelligence
- adverse drug
- rna seq