Dr. Stanley Nelson's laboratory develops technology to facilitate the identification of genes that influence complex, multigenic and quantitative traits in humans. Approaches to these difficult genetic problems are a critical challenge to human genetics and will greatly impact medical practice. In general, solutions to these problems require methods that allow genetic features to be determined at high resolution, on large numbers of individuals, in a cost-effective manner. The Nelson lab is developing highly multiplex means of genetic analysis. In addition, the laboratory studies the genetic causes of glioblastomas using large scale gene expression analysis, alternative splicing analysis and chromosomal loss information, and is developing bioinformatic approaches to identify novel therapeutic targets. The Nelson lab is pursuing the large scale genetic analysis of autism, ADHD and vertigo.
Sathirapongsasuti JF, Lee H, Horst BA, Brunner G, Cochran AJ, Binder S, Quackenbush J, Nelson SF. Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV. Bioinformatics. 2011 Oct 1;27(19):2648-54. Epub 2011 Aug 9
Clark MJ, Homer N, O'Connor BD, Chen Z, Eskin A, Lee H, Merriman B, Nelson SF. U87MG decoded: the genomic sequence of a cytogenetically aberrant human cancer cell line. PLoS Genet. 2010 Jan;6(1):e1000832.
Homer N, Nelson SF. Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA. Genome Biol. 2010 Oct 8;11(10):R99. Epub 2010 Oct 8
Lee Y, Liu J, Patel S, Cloughesy T, Lai A, Farooqi H, Seligson D, Dong J, Liau L, Becker D, Mischel P, Shams S, Nelson S. Genomic landscape of meningiomas. Brain Pathol. 2010 Jul;20(4):751-62. Epub 2009 Nov 20
Freije WA, Castro-Vargas FE, Fang Z, Horvath S, Cloughesy T, Liau LM, Mischel PS, Nelson SF. Gene expression profiling of gliomas strongly predicts survival. Cancer Res. 2004 Sep 15;64(18):6503-10.