Four years ago, Valerie Arboleda accomplished something most young medical geneticists rarely do. She helped discover a rare congenital disease now known as KAT6A syndrome . From the original 10 cases to the more than 100 diagnosed today, KAT6A kids share a single altered gene that causes neuro-developmental delays, most prominently in learning to walk and talk, plus a spectrum of possible abnormalities involving the head, face, heart, and immune system.
Now, Arboleda wants to accomplish something even more groundbreaking. With a 2017 NIH Director’s Early Independence Award, she will develop ways to mine Big Data—the voluminous amounts of DNA sequence and other biological information now stored in public databases—to unearth new clues into the biology of rare disorders like KAT6A syndrome. If successful, Arboleda’s work could bring greater precision to the diagnosis and potentially treatment of Mendelian disorders, as well as provide greater clarity into the specific challenges that might lie ahead for an affected child.
Not so long ago, Hilary Finucane was a talented young mathematician about to complete a master’s degree in theoretical computer science. As much as she enjoyed exploring pure mathematics, Finucane had begun having second thoughts about her career choice. She wanted to use her gift for numbers in a way that would have more real-world impact.
The solution to her dilemma was, literally, standing right by her side. Her husband Yakir Reshef, also a mathematician, was developing a new algorithm at the Broad Institute of MIT and Harvard, Cambridge, MA, to improve detection of unexpected associations in large data sets. So, Finucane helped the Broad team with modeling biomedical topics ranging from the gut microbiome to global health. That work led to her co-authoring a paper in the journal Science , providing a strong start to what’s shaping up to be a rewarding career in computational biology.
Science has always fascinated Anshul Kundaje, whether it was biology, physics, or chemistry. When he left his home country of India to pursue graduate studies in electrical engineering at Columbia University, New York, his plan was to focus on telecommunications and computer networks. But a course in computational genomics during his first semester showed him he could follow his interest in computing without giving up his love for biology.
Now an assistant professor of genetics and computer science at Stanford University, Palo Alto, CA, Kundaje has received a 2016 NIH Director’s New Innovator Award to explore not just how the human genome sequence encodes function, but also why it functions in the way that it does. Kundaje even envisions a time when it might be possible to use sophisticated computational approaches to predict the genomic basis of many human diseases.
Tags: 2016 NIH Director’s New Innovator Award, Alzheimer’s disease, artificial neural networks, cancer, colorectal cancer, computational genomics, computer science, DNA, DNA elements, ENCODE, epigenomics, gene function, gene variants, genomics, heart disease, machine learning, MYC, noncoding DNA, Roadmap Epigenomics Project, transcription factor, yeast
As a kid, Jesse Dixon often listened to his parents at the dinner table discussing how to run experiments and their own research laboratories. His father Jack is an internationally renowned biochemist and the former vice president and chief scientific officer of the Howard Hughes Medical Institute. His mother Claudia Kent Dixon, now retired, did groundbreaking work in the study of lipid molecules that serve as the building blocks of cell membranes.
So, when Jesse Dixon set out to pursue a career, he followed in his parents’ footsteps and chose science. But Dixon, a researcher at the Salk Institute, La Jolla, CA, has charted a different research path by studying genomics, with a focus on understanding chromosomal structure. Dixon has now received a 2016 NIH Director’s Early Independence Award to study the three-dimensional organization of the genome, and how changes in its structure might contribute to diseases such as cancer or even to physical differences among people.
Tags: 2016 NIH Director’s Early Independence Award, 3D genome structure, chromatin, chromatin structure, CRISPR, CRISPR/Cas9, DNA, DNA packaging, ENCODE, Encyclopedia of DNA Elements, enhancer, gene editing, genome, genomics, histones, TAD, topologically associated domains
Just this year, we’ve reached the point where we can sequence an entire human genome for less than $1,000. That’s great news—and rather astounding, since the first human genome sequence (finished in 2003) cost an estimated $400,000,000! Does that mean we’ll be able to use each person’s unique genetic blueprint to guide his or her health care from cradle to grave? Maybe eventually, but it’s not quite as simple as it sounds.
Before we can use your genome to develop more personalized strategies for detecting, treating, and preventing disease, we need to be able to interpret the many variations that make your genome distinct from everybody else’s. While most of these variations are neither bad nor good, some raise the risk of particular diseases, and others serve to lower the risk. How do we figure out which is which?
Jay Shendure, an associate professor at the University of Washington in Seattle, has an audacious plan to figure this out, which is why he is among the 2013 recipients of the NIH Director’s Pioneer Award.
Posted In: Science
Tags: breast cancer, CADD, Combined Annotation-Dependent Depletion, cystic fibrosis, Daniela Witten, DNA, ENCODE, epigenomics, exome, genome sequencing, human genome, Jay Shendure, multiplex approaches, NIH Early Independence Award, NIH Pioneer Award, ovarian cancer, point mutation, precision medicine, protein, variants