Frederick B. Rentschler Developmental Chair
Laboratory of Genetics
Integrative Biology Laboratory
The human genome contains millions of “letters” of DNA (base pairs, in scientific parlance) that differ between individuals. These differences are known as genetic variants and, collectively, they have a profound influence on human traits. Thousands of genetic variants have been associated with autoimmune, psychiatric, and metabolic diseases, but surprisingly most of the associated variants do not directly affect genes, and have uncertain functions. Many of these genetic variants are hypothesized to affect the regulatory sequences that control when and where genes are turned on. Therefore, to understand the genetic underpinnings of complex human diseases, it is essential to pinpoint genetic variants that affect gene regulation. Due to our limited understanding of gene regulation, however, it is extremely difficult to predict which genetic variants regulate which genes. Ideally, we would like a comprehensive catalog of regulatory elements for every gene, which would make it easier to predict the function of genetic variants.
Graham McVicker studies how human genetic variation affects gene regulation by combining experimental approaches with computational analyses. McVicker is especially interested in identifying pathogenic regulatory variants that act in immune cells and cancer cells. Currently, he is developing new tools to discover regulatory mutations in cancer genomes, and manipulating cell lines with high-throughput CRISPR technologies to discover new regulatory sequences. In much of his research, he develops sophisticated computational and statistical methods to extract subtle signals from noisy experimental data.
McVicker previously discovered human genetic variants that affect chemical modifications of an important type of protein of chromatin (DNA combined with proteins), called histones. He showed that many of these variants disrupt the binding of specific proteins to the DNA sequence and also affect the expression of nearby genes.
He identified factors that are important for positioning nucleosomes—the fundamental units of chromatin—on the human genome sequence.
He demonstrated that natural selection has influenced patterns of genetic variation across the human genome.
BSc Computer Science, University of British Columbia
PhD, Genome Sciences, University of Washington
Postdoctoral Scholar, University of Chicago
Postdoctoral Scholar, Stanford University