Next generation sequencing shakes up genotype/phenotype correlation, disease discoveries

Posted: Published on August 14th, 2014

This post was added by Dr Simmons

PUBLIC RELEASE DATE:

13-Aug-2014

Contact: Glenna Picton picton@bcm.edu 713-798-4710 Baylor College of Medicine

HOUSTON (Aug. 13, 2014) With the ability to use next generation sequencing technology, researchers have a broadened understanding of the association of genetic changes and disease causation to a much greater resolution, driving new discoveries, said clinical geneticists from Baylor College of Medicine in Houston and the University of Montreal in Canada in a perspective published today in the New England Journal of Medicine.

Authors Dr. Brendan Lee and James T. Lu of Baylor, and Dr. Phillippe Campeau of the University of Montreal, discuss the impact on the increased use of these technologies -- such as whole genome and whole exome sequencing which give insight into a person's complete DNA (whole genome) and all protein coding genes (exome) on the expanding collection of diseases with different genetic lesions.

Now it's the genotype -- not as much the phenotype -- that drives detection of the disease, the authors noted.

"Up until about the last five years, we have had relatively crude tools to interpret whether a mutation causes a disease," said Lee, professor and interim chair of molecular and human genetics at Baylor. "Typically we could only conclude that a genetic mutation was disease causing when it caused a dramatic alteration in the protein"

As the cost of next generation sequencing continues to drop, and is used more often, scientists are observing at much greater resolution and sensitivity how subtle gene changes may be associated with unique disease presentations, even in previously undiagnosed forms of disease.

"We are observing increasing complexity in the association of disease and genes. There are many different types of mutations in many different genes that can cause a specific disease grouping or even quite different disease groups more than we ever thought," said Lee. "Twenty years ago, we could only identify disease genes based on finding severe mutations in a recognized group of clinical features. Now we find often unique mutations in many different genes causing either similar or different disease conditions."

Use brittle bone disease for example, Lee said.

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Next generation sequencing shakes up genotype/phenotype correlation, disease discoveries

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