Genetically Sequencing Healthy Babies Yielded Surprising Results
Today in Melrose, Massachusetts, Cora Stetson is the picture of good health, a bubbly precocious 2-year-old. But Cora has two separate mutations in the gene that produces a critical enzyme called biotinidase and her body produces only 40 percent of the normal levels of that enzyme.
In the last few years, the dream of predicting and preventing diseases through genomics, starting in childhood, is finally within reach.
That's enough to pass conventional newborn (heelstick) screening, but may not be enough for normal brain development, putting baby Cora at risk for seizures and cognitive impairment. But thanks to an experimental study in which Cora's DNA was sequenced after birth, this condition was discovered and she is being treated with a safe and inexpensive vitamin supplement.
Stories like these are beginning to emerge from the BabySeq Project, the first clinical trial in the world to systematically sequence healthy newborn infants. This trial was led by my research group with funding from the National Institutes of Health. While still controversial, it is pointing the way to a future in which adults, or even newborns, can receive comprehensive genetic analysis in order to determine their risk of future disease and enable opportunities to prevent them.
Some believe that medicine is still not ready for genomic population screening, but others feel it is long overdue. After all, the sequencing of the Human Genome Project was completed in 2003, and with this milestone, it became feasible to sequence and interpret the genome of any human being. The costs have come down dramatically since then; an entire human genome can now be sequenced for about $800, although the costs of bioinformatic and medical interpretation can add another $200 to $2000 more, depending upon the number of genes interrogated and the sophistication of the interpretive effort.
Two-year-old Cora Stetson, whose DNA sequencing after birth identified a potentially dangerous genetic mutation in time for her to receive preventive treatment.
(Photo courtesy of Robert Green)
The ability to sequence the human genome yielded extraordinary benefits in scientific discovery, disease diagnosis, and targeted cancer treatment. But the ability of genomes to detect health risks in advance, to actually predict the medical future of an individual, has been mired in controversy and slow to manifest. In particular, the oft-cited vision that healthy infants could be genetically tested at birth in order to predict and prevent the diseases they would encounter, has proven to be far tougher to implement than anyone anticipated.
But in the last few years, the dream of predicting and preventing diseases through genomics, starting in childhood, is finally within reach. Why did it take so long? And what remains to be done?
Great Expectations
Part of the problem was the unrealistic expectations that had been building for years in advance of the genomic science itself. For example, the 1997 film Gattaca portrayed a near future in which the lifetime risk of disease was readily predicted the moment an infant is born. In the fanfare that accompanied the completion of the Human Genome Project, the notion of predicting and preventing future disease in an individual became a powerful meme that was used to inspire investment and public support for genomic research long before the tools were in place to make it happen.
Another part of the problem was the success of state-mandated newborn screening programs that began in the 1960's with biochemical tests of the "heel-stick" for babies with metabolic disorders. These programs have worked beautifully, costing only a few dollars per baby and saving thousands of infants from death and severe cognitive impairment. It seemed only logical that a new technology like genome sequencing would add power and promise to such programs. But instead of embracing the notion of newborn sequencing, newborn screening laboratories have thus far rejected the entire idea as too expensive, too ambiguous, and too threatening to the comfortable constituency that they had built within the public health framework.
"What can you find when you look as deeply as possible into the medical genomes of healthy individuals?"
Creating the Evidence Base for Preventive Genomics
Despite a number of obstacles, there are researchers who are exploring how to achieve the original vision of genomic testing as a tool for disease prediction and prevention. For example, in our NIH-funded MedSeq Project, we were the first to ask the question: "What can you find when you look as deeply as possible into the medical genomes of healthy individuals?"
Most people do not understand that genetic information comes in four separate categories: 1) dominant mutations putting the individual at risk for rare conditions like familial forms of heart disease or cancer, (2) recessive mutations putting the individual's children at risk for rare conditions like cystic fibrosis or PKU, (3) variants across the genome that can be tallied to construct polygenic risk scores for common conditions like heart disease or type 2 diabetes, and (4) variants that can influence drug metabolism or predict drug side effects such as the muscle pain that occasionally occurs with statin use.
The technological and analytical challenges of our study were formidable, because we decided to systematically interrogate over 5000 disease-associated genes and report results in all four categories of genetic information directly to the primary care physicians for each of our volunteers. We enrolled 200 adults and found that everyone who was sequenced had medically relevant polygenic and pharmacogenomic results, over 90 percent carried recessive mutations that could have been important to reproduction, and an extraordinary 14.5 percent carried dominant mutations for rare genetic conditions.
A few years later we launched the BabySeq Project. In this study, we restricted the number of genes to include only those with child/adolescent onset that could benefit medically from early warning, and even so, we found 9.4 percent carried dominant mutations for rare conditions.
At first, our interpretation around the high proportion of apparently healthy individuals with dominant mutations for rare genetic conditions was simple – that these conditions had lower "penetrance" than anticipated; in other words, only a small proportion of those who carried the dominant mutation would get the disease. If this interpretation were to hold, then genetic risk information might be far less useful than we had hoped.
Suddenly the information available in the genome of even an apparently healthy individual is looking more robust, and the prospect of preventive genomics is looking feasible.
But then we circled back with each adult or infant in order to examine and test them for any possible features of the rare disease in question. When we did this, we were surprised to see that in over a quarter of those carrying such mutations, there were already subtle signs of the disease in question that had not even been suspected! Now our interpretation was different. We now believe that genetic risk may be responsible for subclinical disease in a much higher proportion of people than has ever been suspected!
Meanwhile, colleagues of ours have been demonstrating that detailed analysis of polygenic risk scores can identify individuals at high risk for common conditions like heart disease. So adding up the medically relevant results in any given genome, we start to see that you can learn your risks for a rare monogenic condition, a common polygenic condition, a bad effect from a drug you might take in the future, or for having a child with a devastating recessive condition. Suddenly the information available in the genome of even an apparently healthy individual is looking more robust, and the prospect of preventive genomics is looking feasible.
Preventive Genomics Arrives in Clinical Medicine
There is still considerable evidence to gather before we can recommend genomic screening for the entire population. For example, it is important to make sure that families who learn about such risks do not suffer harms or waste resources from excessive medical attention. And many doctors don't yet have guidance on how to use such information with their patients. But our research is convincing many people that preventive genomics is coming and that it will save lives.
In fact, we recently launched a Preventive Genomics Clinic at Brigham and Women's Hospital where information-seeking adults can obtain predictive genomic testing with the highest quality interpretation and medical context, and be coached over time in light of their disease risks toward a healthier outcome. Insurance doesn't yet cover such testing, so patients must pay out of pocket for now, but they can choose from a menu of genetic screening tests, all of which are more comprehensive than consumer-facing products. Genetic counseling is available but optional. So far, this service is for adults only, but sequencing for children will surely follow soon.
As the costs of sequencing and other Omics technologies continue to decline, we will see both responsible and irresponsible marketing of genetic testing, and we will need to guard against unscientific claims. But at the same time, we must be far more imaginative and fast moving in mainstream medicine than we have been to date in order to claim the emerging benefits of preventive genomics where it is now clear that suffering can be averted, and lives can be saved. The future has arrived if we are bold enough to grasp it.
Funding and Disclosures:
Dr. Green's research is supported by the National Institutes of Health, the Department of Defense and through donations to The Franca Sozzani Fund for Preventive Genomics. Dr. Green receives compensation for advising the following companies: AIA, Applied Therapeutics, Helix, Ohana, OptraHealth, Prudential, Verily and Veritas; and is co-founder and advisor to Genome Medical, Inc, a technology and services company providing genetics expertise to patients, providers, employers and care systems.
GOOD10: The Pandemic Issue explores big-picture ways that science innovation and communication can usher in a more equitable, more progress-oriented, and safer world.
This issue is a collaboration among GOOD, leapsmag, and the Aspen Institute Science & Society Program.
The GOOD10 format explores fundamental issues facing humanity through the lenses of ten forces pushing the needle toward progress: Places, Philanthropists, Celebrities, Whistleblowers, Companies, Media, Products, Politicians, Scientists, and Actions. Across these categories, we seek to present unexpected and encouraging paradigms emerging from this historic crisis.
This special issue is available as an e-reader version for both desktop and mobile. It is also available as a free downloadable PDF.
TABLE OF CONTENTS:
- PLACES:
55 Lessons Learned About Science Communication Around the World; Quarantining Our Way Into Outer Space - PLACES:
Quarantining Our Way Into Outer Space - PHILANTHROPISTS:
An Exclusive Interview with Wendy Schmidt about Science in the Pandemic Era - CELEBRITIES:
Neil deGrasse Tyson Wants Celebrities to Promote Scientists - WHISTLEBLOWERS:
The Science Sleuths Holding Fraudulent Research Accountable - COMPANIES:
The Biggest Challenge for a COVID-19 Vaccine: Making It Accessible and Affordable - MEDIA:
Isaac Asimov on the History of Infectious Disease—And How Humanity Learned To Fight Back - PRODUCTS:
Will COVID-19 Pave the Way For DIY Precision Medicine? - POLITICIANS:
Will the Pandemic Propel STEM Experts to Political Power? - SCIENTISTS:
Would a Broad-Spectrum Antiviral Drug Stop the Pandemic? - ACTIONS:
Pseudoscience is Rampant: How Not to Fall For It - ACTIONS:
How COVID-19 Could Usher In a New Age of Collective Drug Discovery
THE EVENT:
"The Pandemic Science Summit" focused on how science innovation is key to society's future stability as we emerge from the pandemic, featuring:
Christopher Bailey – Arts and Health Lead, World Health Organization
Elisabeth Bik, Ph.D. – Microbiologist and scientific integrity consultant
Margaret Hamburg, M.D. – Foreign Secretary, National Academy of Medicine; former Commissioner, U.S. Food and Drug Administration
Peggy Oti-Boateng, Ph.D. – Director, Division of Science Policy and Capacity- Building, UNESCO
George Yancopoulos, M.D., Ph.D. – President and Chief Scientific Officer, Regeneron Pharmaceuticals
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
Two Conservative Icons Gave Opposite Advice on COVID-19. Those Misinformed Died in Higher Numbers, New Study Reports.
The news sources that you consume can kill you - or save you. That's the fundamental insight of a powerful new study about the impact of watching either Sean Hannity's news show Hannity or Tucker Carlson's Tucker Carlson Tonight. One saved lives and the other resulted in more deaths, due to how each host covered COVID-19.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left.
This research illustrates the danger of falling for health-related misinformation due to judgment errors known as cognitive biases. These dangerous mental blindspots stem from the fact that our gut reactions evolved for the ancient savanna environment, not the modern world; yet the vast majority of advice on decision making is to "go with your gut," despite the fact that doing so leads to so many disastrous outcomes. These mental blind spots impact all areas of our life, from health to politics and even shopping, as a survey by a comparison purchasing website reveals. We need to be wary of cognitive biases in order to survive and thrive during this pandemic.
Sean Hannity vs. Tucker Carlson Coverage of COVID-19
Hannity and Tucker Carlson Tonight are the top two U.S. cable news shows, both on Fox News. Hannity and Carlson share very similar ideological profiles and have similar viewership demographics: older adults who lean conservative.
One notable difference, however, relates to how both approached coverage of COVID-19, especially in February and early March 2020. Researchers at the Becker Friedman Institute for Economics at the University of Chicago decided to study the health consequences of this difference.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left. Already on January 28, way earlier than most, Carlson spent a significant part of his show highlighting the serious dangers of a global pandemic. He continued his warnings throughout February. On February 25, Carlson told his viewers: "In this country, more than a million would die."
By contrast, Hannity was one of the Fox News hosts who took a more extreme position in downplaying COVID-19, frequently comparing it to the flu. On February 27, he said "And today, thankfully, zero people in the United States of America have died from the coronavirus. Zero. Now, let's put this in perspective. In 2017, 61,000 people in this country died from influenza, the flu. Common flu." Moreover, Hannity explicitly politicized COVID-19, claiming that "[Democrats] are now using the natural fear of a virus as a political weapon. And we have all the evidence to prove it, a shameful politicizing, weaponizing of, yes, the coronavirus."
However, after President Donald Trump declared COVID-19 a national emergency in mid-March, Hannity -- and other Fox News hosts -- changed their tune to align more with Carlson's, acknowledging the serious dangers of the virus.
The Behavior and Health Consequences
The Becker Friedman Institute researchers investigated whether the difference in coverage impacted behaviors. They conducted a nationally representative survey of over 1,000 people who watch Fox News at least once a week, evaluating both viewership and behavior changes in response to the pandemic, such as social distancing and improving hygiene.
Next, the study compared people's behavior changes to viewing patterns. The researchers found that "viewers of Hannity changed their behavior five days later than viewers of other shows, while viewers of Tucker Carlson Tonight changed their behavior three days earlier than viewers of other shows." The statistical difference was more than enough to demonstrate significance; in other words, it was extremely unlikely to occur by chance -- so unlikely as to be negligible.
Did these behavior changes lead to grave consequences? Indeed.
The paper compared the popularity of each show in specific counties to data on COVID-19 infections and deaths. Controlling for a wide variety of potential confounding variables, the study found that areas of the country where Hannity is more popular had more cases and deaths two weeks later, the time that it would take for the virus to start manifesting itself. By March 21st, the researchers found, there were 11 percent more deaths among Hannity's viewership than among Carlson's, again with a high degree of statistical significance.
The study's authors concluded: "Our findings indicate that provision of misinformation in the early stages of a pandemic can have important consequences for health outcomes."
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era.
Cognitive Biases and COVID-19 Misinformation
It's critically important to recognize that the study's authors did not seek to score any ideological points, given the broadly similar ideological profiles of the two hosts. The researchers simply explored the impact of accurate and inaccurate information about COVID-19 on the viewership. Clearly, the false information had deadly consequences.
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era -- such as media figures that we follow. This excessive trust - and consequent obedience - is called the "authority bias."
A related mental pattern is called "emotional contagion," in which we are unwittingly infected with the emotions of those we see as leaders. Emotions can motivate action even in the absence of formal authority, and are particularly important for those with informal authority, including thought leaders like Carlson and Hannity.
Thus, Hannity telling his audience that Democrats used anxiety about the virus as a political weapon led his audience to reject fears of COVID-19, even though such a reaction and consequent behavioral changes were the right response. Carlson's emphasis on the deadly nature of this illness motivated his audience to take appropriate precautions.
Authority bias and emotional contagion facilitate the spread of misinformation and its dangers, at least when we don't take the steps necessary to figure out the facts. Such steps can range from following best fact-checking practices to getting your information from news sources that commit publicly to being held accountable for truthfulness. Remember, the more important and impactful such information may be for your life, the more important it is to take the time to evaluate it accurately to help you make the best decisions.