Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia.

Eleanor C Semmes Jayaram Vijayakrishnan Chenan Zhang Jillian H Hurst Richard S Houlston Kyle M Walsh

Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2020)

Incorporating PheWAS data into association studies can leverage genetic pleiotropy to identify cancer risk loci, highlighting the utility of our novel approach.

Keyphrases

genome wide
acute lymphoblastic leukemia
case control
copy number
dna methylation
allogeneic hematopoietic stem cell transplantation
big data
deep learning
artificial intelligence