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Whole-Genome Sequencing Plus AI Yields Same-Day Genetic Diagnoses

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Sebastiana
Caption: Rapid whole-genome sequencing helped doctors diagnose Sebastiana Manuel with Ohtahara syndrome, a neurological condition that causes seizures. Her data are now being used as part of an effort to speed the diagnosis of other children born with unexplained illnesses. Credits: Getty Images (left); Jenny Siegwart (right).



Back in April 2003, when the international Human Genome Project successfully completed the first reference sequence of the human DNA blueprint, we were thrilled to have achieved that feat in just 13 years. Sure, the U.S. contribution to that first human reference sequence cost an estimated $400 million, but we knew (or at least we hoped) that the costs would come down quickly, and the speed would accelerate. How far we’ve come since then! A new study shows that whole genome sequencing—combined with artificial intelligence (AI)—can now be used to diagnose genetic diseases in seriously ill babies in less than 24 hours.

Take a moment to absorb this. I would submit that there is no other technology in the history of planet Earth that has experienced this degree of progress in speed and affordability. And, at the same time, DNA sequence technology has achieved spectacularly high levels of accuracy. The time-honored adage that you can only get two out of three for “faster, better, and cheaper” has been broken—all three have been dramatically enhanced by the advances of the last 16 years.

Rapid diagnosis is critical for infants born with mysterious conditions because it enables them to receive potentially life-saving interventions as soon as possible after birth. In a study in Science Translational Medicine, NIH-funded researchers describe development of a highly automated, genome-sequencing pipeline that’s capable of routinely delivering a diagnosis to anxious parents and health-care professionals dramatically earlier than typically has been possible [1].

While the cost of rapid DNA sequencing continues to fall, challenges remain in utilizing this valuable tool to make quick diagnostic decisions. In most clinical settings, the wait for whole-genome sequencing results still runs more than two weeks. Attempts to obtain faster results also have been labor intensive, requiring dedicated teams of experts to sift through the data, one sample at a time.

In the new study, a research team led by Stephen Kingsmore, Rady Children’s Institute for Genomic Medicine, San Diego, CA, describes a streamlined approach that accelerates every step in the process, making it possible to obtain whole-genome test results in a median time of about 20 hours and with much less manual labor. They propose that the system could deliver answers for 30 patients per week using a single genome sequencing instrument.

Here’s how it works: Instead of manually preparing blood samples, his team used special microbeads to isolate DNA much more rapidly with very little labor. The approach reduced the time for sample preparation from 10 hours to less than three. Then, using a state-of-the-art DNA sequencer, they sequence those samples to obtain good quality whole genome data in just 15.5 hours.

The next potentially time-consuming challenge is making sense of all that data. To speed up the analysis, Kingsmore’s team took advantage of a machine-learning system called MOON. The automated platform sifts through all the data using artificial intelligence to search for potentially disease-causing variants.

The researchers paired MOON with a clinical language processing system, which allowed them to extract relevant information from the child’s electronic health records within seconds. Teaming that patient-specific information with data on more than 13,000 known genetic diseases in the scientific literature, the machine-learning system could pick out a likely disease-causing mutation out of 4.5 million potential variants in an impressive 5 minutes or less!

To put the system to the test, the researchers first evaluated its ability to reach a correct diagnosis in a sample of 101 children with 105 previously diagnosed genetic diseases. In nearly every case, the automated diagnosis matched the opinions reached previously via the more lengthy and laborious manual interpretation of experts.

Next, the researchers tested the automated system in assisting diagnosis of seven seriously ill infants in the intensive care unit, and three previously diagnosed infants. They showed that their automated system could reach a diagnosis in less than 20 hours. That’s compared to the fastest manual approach, which typically took about 48 hours. The automated system also required about 90 percent less manpower.

The system nailed a rapid diagnosis for 3 of 7 infants without returning any false-positive results. Those diagnoses were made with an average time savings of more than 22 hours. In each case, the early diagnosis immediately influenced the treatment those children received. That’s key given that, for young children suffering from serious and unexplained symptoms such as seizures, metabolic abnormalities, or immunodeficiencies, time is of the essence.

Of course, artificial intelligence may never replace doctors and other healthcare providers. Kingsmore notes that 106 years after the invention of the autopilot, two pilots are still required to fly a commercial aircraft. Likewise, health care decisions based on genome interpretation also will continue to require the expertise of skilled physicians.

Still, such a rapid automated system will prove incredibly useful. For instance, this system can provide immediate provisional diagnosis, allowing the experts to focus their attention on more difficult unsolved cases or other needs. It may also prove useful in re-evaluating the evidence in the many cases in which manual interpretation by experts fails to provide an answer.

The automated system may also be useful for periodically reanalyzing data in the many cases that remain unsolved. Keeping up with such reanalysis is a particular challenge considering that researchers continue to discover hundreds of disease-associated genes and thousands of variants each and every year. The hope is that in the years ahead, the combination of whole genome sequencing, artificial intelligence, and expert care will make all the difference in the lives of many more seriously ill babies and their families.

Reference:

[1] Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation. Clark MM, Hildreth A, Batalov S, Ding Y, Chowdhury S, Watkins K, Ellsworth K, Camp B, Kint CI, Yacoubian C, Farnaes L, Bainbridge MN, Beebe C, Braun JJA, Bray M, Carroll J, Cakici JA, Caylor SA, Clarke C, Creed MP, Friedman J, Frith A, Gain R, Gaughran M, George S, Gilmer S, Gleeson J, Gore J, Grunenwald H, Hovey RL, Janes ML, Lin K, McDonagh PD, McBride K, Mulrooney P, Nahas S, Oh D, Oriol A, Puckett L, Rady Z, Reese MG, Ryu J, Salz L, Sanford E, Stewart L, Sweeney N, Tokita M, Van Der Kraan L, White S, Wigby K, Williams B, Wong T, Wright MS, Yamada C, Schols P, Reynders J, Hall K, Dimmock D, Veeraraghavan N, Defay T, Kingsmore SF. Sci Transl Med. 2019 Apr 24;11(489).

Links:

DNA Sequencing Fact Sheet (National Human Genome Research Institute/NIH)

Genomics and Medicine (NHGRI/NIH)

Genetic and Rare Disease Information Center (National Center for Advancing Translational Sciences/NIH)

Stephen Kingsmore (Rady Children’s Institute for Genomic Medicine, San Diego, CA)

NIH Support: National Institute of Child Health and Human Development; National Human Genome Research Institute; National Center for Advancing Translational Sciences


Measuring Brain Chemistry

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Anne Andrews

Anne Andrews
Credit: From the American Chemical Society’s “Personal Stories of Discovery”

Serotonin is one of the chemical messengers that nerve cells in the brain use to communicate. Modifying serotonin levels is one way that antidepressant and anti-anxiety medications are thought to work and help people feel better. But the precise nature of serotonin’s role in the brain is largely unknown.

That’s why Anne Andrews set out in the mid-1990s as a fellow at NIH’s National Institute of Mental Health to explore changes in serotonin levels in the brains of anxious mice. But she quickly realized it wasn’t possible. The tools available for measuring serotonin—and most other neurochemicals in the brain—couldn’t offer the needed precision to conduct her studies.

Instead of giving up, Andrews did something about it. In the late 1990s, she began formulating an idea for a neural probe to make direct and precise measurements of brain chemistry. Her progress was initially slow, partly because the probe she envisioned was technologically ahead of its time. Now at the University of California, Los Angeles (UCLA) more than 15 years later, she’s nearly there. Buoyed by recent scientific breakthroughs, the right team to get the job done, and the support of a 2017 NIH Director’s Transformative Research Award, Andrews expects to have the first fully functional devices ready within the next two years.


Seven More Awesome Technologies Made Possible by Your Tax Dollars

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We live in a world energized by technological advances, from that new app on your smartphone to drones and self-driving cars. As you can see from this video, NIH-supported researchers are also major contributors, developing a wide range of amazing biomedical technologies that offer tremendous potential to improve our health.

Produced by the NIH’s National Institute of Biomedical Imaging and Bioengineering (NIBIB), this video starts by showcasing some cool fluorescent markers that are custom-designed to light up specific cells in the body. This technology is already helping surgeons see and remove tumor cells with greater precision in people with head and neck cancer [1]. Further down the road, it might also be used to light up nerves, which can be very difficult to see—and spare—during operations for cancer and other conditions.

Other great things to come include:

  • A wearable tattoo that detects alcohol levels in perspiration and wirelessly transmits the information to a smartphone.
  • Flexible coils that produce high quality images during magnetic resonance imaging (MRI) [2-3]. In the future, these individualized, screen-printed coils may improve the comfort and decrease the scan times of people undergoing MRI, especially infants and small children.
  • A time-release capsule filled with a star-shaped polymer containing the anti-malarial drug ivermectin. The capsule slowly dissolves in the stomach over two weeks, with the goal of reducing the need for daily doses of ivermectin to prevent malaria infections in at-risk people [4].
  • A new radiotracer to detect prostate cancer that has spread to other parts of the body. Early clinical trial results show the radiotracer, made up of carrier molecules bonded tightly to a radioactive atom, appears to be safe and effective [5].
  • A new supercooling technique that promises to extend the time that organs donated for transplantation can remain viable outside the body [6-7]. For example, current technology can preserve donated livers outside the body for just 24 hours. In animal studies, this new technique quadruples that storage time to up to four days.
  • A wearable skin patch with dissolvable microneedles capable of effectively delivering an influenza vaccine. This painless technology, which has produced promising early results in humans, may offer a simple, affordable alternative to needle-and-syringe immunization [8].

If you like what you see here, be sure to check out this previous NIH video that shows six more awesome biomedical technologies that your tax dollars are helping to create. So, let me extend a big thanks to you from those of us at NIH—and from all Americans who care about the future of their health—for your strong, continued support!

References:

[1] Image-guided surgery in cancer: A strategy to reduce incidence of positive surgical margins. Wiley Interdiscip Rev Syst Biol Med. 2018 Feb 23.

[2] Screen-printed flexible MRI receive coils. Corea JR, Flynn AM, Lechêne B, Scott G, Reed GD, Shin PJ, Lustig M, Arias AC. Nat Commun. 2016 Mar 10;7:10839.

[3] Printed Receive Coils with High Acoustic Transparency for Magnetic Resonance Guided Focused Ultrasound. Corea J, Ye P, Seo D, Butts-Pauly K, Arias AC, Lustig M. Sci Rep. 2018 Feb 21;8(1):3392.

[4] Oral, ultra-long-lasting drug delivery: Application toward malaria elimination goals. Bellinger AM, Jafari M1, Grant TM, Zhang S, Slater HC, Wenger EA, Mo S, Lee YL, Mazdiyasni H, Kogan L, Barman R, Cleveland C, Booth L, Bensel T, Minahan D, Hurowitz HM, Tai T, Daily J, Nikolic B, Wood L, Eckhoff PA, Langer R, Traverso G. Sci Transl Med. 2016 Nov 16;8(365):365ra157.

[5] Clinical Translation of a Dual Integrin avb3– and Gastrin-Releasing Peptide Receptor–Targeting PET Radiotracer, 68Ga-BBN-RGD. Zhang J, Niu G, Lang L, Li F, Fan X, Yan X, Yao S, Yan W, Huo L, Chen L, Li Z, Zhu Z, Chen X. J Nucl Med. 2017 Feb;58(2):228-234.

[6] Supercooling enables long-term transplantation survival following 4 days of liver preservation. Berendsen TA, Bruinsma BG, Puts CF, Saeidi N, Usta OB, Uygun BE, Izamis ML, Toner M, Yarmush ML, Uygun K. Nat Med. 2014 Jul;20(7):790-793.

[7] The promise of organ and tissue preservation to transform medicine. Giwa S, Lewis JK, Alvarez L, Langer R, Roth AE, et a. Nat Biotechnol. 2017 Jun 7;35(6):530-542.

[8] The safety, immunogenicity, and acceptability of inactivated influenza vaccine delivered by microneedle patch (TIV-MNP 2015): a randomised, partly blinded, placebo-controlled, phase 1 trial. Rouphael NG, Paine M, Mosley R, Henry S, McAllister DV, Kalluri H, Pewin W, Frew PM, Yu T, Thornburg NJ, Kabbani S, Lai L, Vassilieva EV, Skountzou I, Compans RW, Mulligan MJ, Prausnitz MR; TIV-MNP 2015 Study Group.

Links:

National Institute of Biomedical Imaging and Bioengineering (NIH)

Center for Wearable Sensors (University of California, San Diego)

Hyperpolarized MRI Technology Resource Center (University of California, San Francisco)

Center for Engineering in Medicine (Massachusetts General Hospital, Boston)

Center for Drug Design, Development and Delivery (Georgia Tech University, Atlanta)

NIH Support: National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases


Creative Minds: Giving Bacteria Needles to Fight Intestinal Disease

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Cammie Lesser

Cammie Lesser

For Salmonella and many other disease-causing bacteria that find their way into our bodies, infection begins with a poke. That’s because these bad bugs are equipped with a needle-like protein filament that punctures the outer membrane of human cells and then, like a syringe, injects dozens of toxic proteins that help them replicate.

Cammie Lesser at Massachusetts General Hospital and Harvard Medical School, Cambridge, and her colleagues are now on a mission to bioengineer strains of bacteria that don’t cause disease to make these same syringes, called type III secretion systems. The goal is to use such “good” bacteria to deliver therapeutic molecules, rather than toxins, to human cells. Their first target is the gastrointestinal tract, where they hope to knock out hard-to-beat bacterial infections or to relieve the chronic inflammation that comes with inflammatory bowel disease (IBD).


Robotic Exoskeleton Could Be Right Step Forward for Kids with Cerebral Palsy

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More than 17 million people around the world are living with cerebral palsy, a movement disorder that occurs when motor areas of a child’s brain do not develop correctly or are damaged early in life. Many of those affected were born extremely prematurely and suffered brain hemorrhages shortly after birth. One of the condition’s most common symptoms is crouch gait, which is an excessive bending of the knees that can make it difficult or even impossible to walk. Now, a new robotic device developed by an NIH research team has the potential to help kids with cerebral palsy walk better.

What’s really cool about the robotic brace, or exoskeleton, which you see demonstrated above, is that it’s equipped with computerized sensors and motors that can detect exactly where a child is in the walking cycle—delivering bursts of support to the knees at just the right time. In fact, in a small study of seven young people with crouch gait, the device enabled six to stand and walk taller in their very first practice session!


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