| Variant | Gene | Disease | Risk Allele | Score vda | Association Type | Original DB | Sentence supporting the association | PMID | PMID Year | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
T | 0.800 | GeneticVariation | GWASCAT | Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease. | 29212778 | 2018 | ||||||
|
|
|
0.800 | GeneticVariation | UNIPROT | American Society of Clinical Oncology Expert Statement: collection and use of a cancer family history for oncology providers. | 24493721 | 2014 | |||||||
|
|
|
0.800 | GeneticVariation | GWASDB | Large-scale association analysis identifies new risk loci for coronary artery disease. | 23202125 | 2013 | |||||||
|
|
|
G | 0.800 | CausalMutation | CLINVAR | |||||||||
|
|
|
0.700 | GeneticVariation | GWASCAT | Leveraging Polygenic Functional Enrichment to Improve GWAS Power. | 30595370 | 2019 | |||||||
|
|
|
0.700 | GeneticVariation | GWASCAT | Leveraging Polygenic Functional Enrichment to Improve GWAS Power. | 30595370 | 2019 | |||||||
|
|
|
0.700 | GeneticVariation | GWASCAT | Characterizing rare and low-frequency height-associated variants in the Japanese population. | 31562340 | 2019 | |||||||
|
|
|
0.700 | GeneticVariation | GWASCAT | Leveraging Polygenic Functional Enrichment to Improve GWAS Power. | 30595370 | 2019 | |||||||
|
|
|
0.700 | GeneticVariation | GWASCAT | Impact of IFNL4 Genetic Variants on Sustained Virologic Response and Viremia in Hepatitis C Virus Genotype 3 Patients. | 31260374 | 2019 | |||||||
|
|
|
0.010 | GeneticVariation | BEFREE | In adult myeloid leukemias we found significant associations between the variant allele of PML_rs9479 and decreased AML risk (OR = 0.61 (0.38-0.97), and between variant alleles of IRF8_ rs10514611 and ARHGAP26_rs187729 and increased CML risk (OR = 2.4 (1.12-5.15) and 1.63 (1.07-2.47), respectively). | 24886876 | 2014 |