Overview

Significance of Loss of Y in Diseases

Myelodysplastic Syndromes +

Acute Myeloid Leukemia +

Chronic Myelomonocytic Leukemia +

Acute Lymphoblastic Leukemia +

Chronic Myeloid Leukemia +

Myelodysplastic/Myeloproliferative Neoplasm +

Chronic Lymphocytic Leukemia +

Hodgkin Lymphoma +

Multiple Myeloma +

Non-Hodgkin Lymphoma +

Refractory Anemia +

Refractory Anemia With Excess Blasts +

Refractory Anemia With Ring Sideroblasts +

Acute Leukemia +

B-Cell Non-Hodgkin Lymphoma +

Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma +

Chronic Myelomonocytic Leukemia-1 +

Lymphoma +

Mature T-Cell And NK-Cell Non-Hodgkin Lymphoma +

Myelodysplastic Syndrome, Unclassifiable +

Myelofibrosis +

Polycythemia Vera +

Primary Myelofibrosis +

Refractory Cytopenia With Multilineage Dysplasia +

Secondary Myelodysplastic Syndrome +

T-Cell Non-Hodgkin Lymphoma +

Waldenstrom Macroglobulinemia +

References

1. Hart R and Prlic A. Universal Transcript Archive Repository. Version uta_20170629. San Francisco CA: Github;2015. https://github.com/biocommons/uta

2. The UniProt Consortium. UniProt: a worldwide hub of protein knowledge. Nucleic Acids Research. 2019;47:D506-D515.

3. Liu X, Wu C, Li C, and Boerwinkle E. dbNSFP v3.0: A one-stop database of functional predictions and annotations for human nonsynonymous and splice site SNVs. Human Mutation. 2015;37:235-241.

Liu X, Jian X, and Boerwinkle E. dbNSFP: A lightweight database of human nonsynonymous SNPs and their functional predictions. Human Mutation. 2011;32:894-899.

4. The AACR Project GENIE Consortium. AACR Project GENIE: powering precision medicine through an international consortium. Cancer Discovery. 2017;7(8):818-831. Dataset Version 4. This dataset does not represent the totality of the genetic landscape; see paper for more information.

5. All assertions and clinical trial landscape data are curated from primary sources. You can read more about the curation process here.