Genomes and Genes
Affiliation: National Institutes of Health
- Common genetic variants in candidate genes and risk of familial lymphoid malignanciesXueying Sharon Liang
Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892 7236, USA
Br J Haematol 146:418-23. 2009..Polymorphisms in TNFSF10 were associated with both CLL and WM. Future replication and functional studies are needed to clarify the role of these genetic variants. Finally, our data further support the close association of WM and CLL...
- Identifying rheumatoid arthritis susceptibility genes using high-dimensional methodsXueying Liang
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 6120 Executive Boulevard, Bethesda, Maryland 20892, USA
BMC Proc 3:S79. 2009..We conclude that the three high-dimensional methods are useful as an initial screening for gene associations to identify promising genes for further modeling and additional replication studies...
- Association of genetic variants in CDK6 and XRCC1 with the risk of dysplastic nevi in melanoma-prone familiesXueying Liang
1 Division of Cancer Epidemiology and Genetics, NCI NIH, Bethesda, Maryland, USA 2 Office of In Vitro Diagnostics and Radiological Health, CDRH FDA, Silver Spring, Maryland, USA
J Invest Dermatol 134:481-7. 2014..0001). Our findings suggest that some genetic variants may contribute to DN risk independently of their association with CMM in melanoma-prone families. ..
- Associations of 9p21 variants with cutaneous malignant melanoma, nevi, and pigmentation phenotypes in melanoma-prone families with and without CDKN2A mutationsXiaohong Rose Yang
Division of Cancer Epidemiology and Genetics, NCI NIH DHHS, Bethesda, MD, USA
Fam Cancer 9:625-33. 2010..These genetic variants may, at least partially, exert their effects through nevi and tanning ability...
- Robust tests for single-marker analysis in case-control genetic association studiesQizhai Li
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
Ann Hum Genet 73:245-52. 2009..We found that each test has its own "sweet" spots. Among the three tests considered, MAX appears to have the most robust performance...