Big datasets pinpoint new regions to explore the genome for disease

December 10, 2018

Imagine rain falling on a square of sidewalk. While the raindrops appear to land randomly, over time a patch of sidewalk somehow remains dry. The emerging pattern suggests something special about this region. This analogy is akin to a new method devised by researchers at University of Utah Health. They explored more than 100,000 healthy humans to identify regions of our genes that are intolerant to change. They believe that DNA mutations in these "constrained" regions may cause severe pediatric diseases.

"Instead of focusing on where DNA changes are, we looked for parts of genes where DNA changes are not," said Aaron Quinlan, Ph.D., associate professor of Human Genetics and Biomedical Informatics at U of U Health and associate director of the USTAR Center for Genetic Discovery. "Our model searches for exceptions to the rule of dense genetic variation in this massive dataset to reveal constrained regions of genes that are devoid of variation. We believe these regions may be lethal or cause extreme phenotypes of disease when mutated."

While this approach is conceptually simple, only recently has there been enough human genomes available to make it happen. These new, invariable stretches may reveal new disease-causing genes and can be used to help pinpoint the cause of disease in patients with developmental disorders. The results of this study are available online in the December 10 issue of the journal Nature Genetics.

According to Quinlan, genes that have not previously been associated with disease often harbor one or more highly constrained regions. A mutation in these regions could cause disease.

"We are confident that these genes play a role in development of disease, but we currently know little about their role," said Quinlan, senior author on the paper. "That's where the exciting potential for discovery is."

Many of the most constrained regions are enriched for genes associated with developmental disorders, including developmental delay, seizure disorders and congenital heart defects. This information gives the team confidence that the method is revealing truly constrained regions of genes.

His team created a detailed map of these constrained regions using more than 120,000 genomes obtained from the Genome Aggregation Database (gnomAD), a project that provides a massive catalog of human genetic variation detected in exome and genome sequencing data from a variety of large-scale sequencing projects.

The maps reveal both disease-causing variations and de novo mutations that underlie developmental disorders. This approach opens the door to identify new coding regions to study disease.

"A gene as a whole might be able to tolerate variation, but variation in one critical section [of the constrained region] could have serious developmental consequences," said James Havrilla, first author on the paper and graduate student in Quinlan's lab.

Quinlan cautions that the model is only powered to find extreme phenotypes, like developmental disorders responsible for intellectual disabilities, seizure disorders, facial dysmorphism and issues with heart development. The model is not adequate to identify regions of genes for common diseases, such as diabetes or coronary artery disease. In addition, the study is based primarily on individuals with European ancestry.

"The map we created will provide the community with a resource to study genes that heretofore had no disease association," Quinlan said. "The beauty and power of this approach is that, as we obtain more data from ever more human genomes, we can continue to improve the resolution of this map to pinpoint areas to study for disease."
Quinlan and Havrilla were joined by Brent Pedersen at U of U Health and Ryan Layer at University of Colorado on this project.

This work was supported by the U.S. National Institutes of Health National Human Genome Research Institute, the National Institute of General Medical Sciences and the National Cancer Institute.

University of Utah Health provides leading-edge and compassionate medicine for a referral area that encompasses 10 percent of the U.S., including Idaho, Wyoming, Montana and much of Nevada. A hub for health sciences research and education in the region, U of U Health touts a $356 million research enterprise and trains the majority of Utah's physicians and more than 1,250 health care providers each year at its Schools of Medicine and Dentistry and Colleges of Nursing, Pharmacy and Health. With more than 20,000 employees, the system includes 12 community clinics and four hospitals. For eight straight years, U of U Health has ranked among the top 10 U.S. academic medical centers in the rigorous Vizient Quality and Accountability Study, including reaching No. 1 in 2010 and 2016.

University of Utah Health

Related DNA Articles from Brightsurf:

A new twist on DNA origami
A team* of scientists from ASU and Shanghai Jiao Tong University (SJTU) led by Hao Yan, ASU's Milton Glick Professor in the School of Molecular Sciences, and director of the ASU Biodesign Institute's Center for Molecular Design and Biomimetics, has just announced the creation of a new type of meta-DNA structures that will open up the fields of optoelectronics (including information storage and encryption) as well as synthetic biology.

Solving a DNA mystery
''A watched pot never boils,'' as the saying goes, but that was not the case for UC Santa Barbara researchers watching a ''pot'' of liquids formed from DNA.

Junk DNA might be really, really useful for biocomputing
When you don't understand how things work, it's not unusual to think of them as just plain old junk.

Designing DNA from scratch: Engineering the functions of micrometer-sized DNA droplets
Scientists at Tokyo Institute of Technology (Tokyo Tech) have constructed ''DNA droplets'' comprising designed DNA nanostructures.

Does DNA in the water tell us how many fish are there?
Researchers have developed a new non-invasive method to count individual fish by measuring the concentration of environmental DNA in the water, which could be applied for quantitative monitoring of aquatic ecosystems.

Zigzag DNA
How the cell organizes DNA into tightly packed chromosomes. Nature publication by Delft University of Technology and EMBL Heidelberg.

Scientists now know what DNA's chaperone looks like
Researchers have discovered the structure of the FACT protein -- a mysterious protein central to the functioning of DNA.

DNA is like everything else: it's not what you have, but how you use it
A new paradigm for reading out genetic information in DNA is described by Dr.

A new spin on DNA
For decades, researchers have chased ways to study biological machines.

From face to DNA: New method aims to improve match between DNA sample and face database
Predicting what someone's face looks like based on a DNA sample remains a hard nut to crack for science.

Read More: DNA News and DNA Current Events is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to