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.
Dr. Emily Oster on Decision-Making and the Kids' Covid Vaccine
The "Making Sense of Science" podcast features interviews with leading medical and scientific experts about the latest developments and the big ethical and societal questions they raise. This monthly podcast is hosted by journalist Kira Peikoff, founding editor of the award-winning science outlet Leaps.org.
This month, Brown economist and bestselling author Dr. Emily Oster breaks down her decision-making process about why she vaccinated her kids against Covid, and the helpful frameworks other parents can use to think through the decision for their own kids. She also discusses her expectations for school policies regarding vaccines and masks in 2022.
Watch the trailer:
Listen to the Episode:
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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.
Six Questions about the Kids' COVID Vaccine, Answered by an Infectious Disease Doctor
I enthusiastically support the vaccination against COVID for children aged 5-11 years old. As an infectious disease doctor who took care of hundreds of COVID-19 patients over the past 20 months, I have seen the immediate and long-term consequences of COVID-19 on patients – and on their families. As a father of two daughters, I have lived through the fear and anxiety of protecting my kids at all cost from the scourges of the pandemic and worried constantly about bringing the virus home from work.
It is imperative that we vaccinate as many children in the community as possible. There are several reasons why. First children do get sick from COVID-19. Over the course of the pandemic in the U.S, more than 2 million children aged 5-11 have become infected, more than 8000 have been hospitalized, and more than 100 have died, making COVID one of the top 10 causes of pediatric deaths in this age group over the past year. Children are also susceptible to chronic consequences of COVID such as long COVID and multisystem inflammatory syndrome in children (MIS-C). Most studies demonstrate that 10-30% of children will develop chronic symptoms following COVID-19. These include complaints of brain fog, fatigue, trouble breathing, fever, headache, muscle and joint pains, abdominal pain, mood swings and even psychiatric disorders. Symptoms typically last from 4-8 weeks in children, with some reporting symptoms that persist for many months.
Second, children are increasingly recognized as vectors who can bring infection into the house, potentially transmitting infection to vulnerable household members. Finally, we have all seen the mayhem that results when one child in the classroom becomes infected with COVID and the other students get sent home to quarantine – across the U.S., more than 2000 schools have been affected this way.
We now have an extraordinarily effective vaccine with more than 90 percent efficacy at preventing symptomatic infection. Vaccinating children will boost our countrywide vaccination rate which is trailing many countries after an early start. Nevertheless, there are still many questions and concerns that parents have as the vaccine gets rolled out. I will address six of them here.
"Novel Vaccine Technology"
Even though this is a relatively new vaccine, the technology is not new. Scientists had worked on mRNA vaccines for decades prior to the COVID mRNA vaccine breakthrough. Furthermore, experience with the Pfizer COVID vaccine is rapidly growing. By now it has been more than a year and a half since the Pfizer trials began in March 2020, and more than 7 billion doses have already been administered globally, including in 13.7 million adolescents in the U.S. alone.
"Will This Vaccine Alter My Child's DNA?"
No. This is not how mRNA works. DNA is present in the cell's nucleus. The mRNA only stays in the outside cytoplasm, gets destroyed and never enters the inner sanctum of the nucleus. Furthermore, for the mRNA to be ever integrated into DNA, it requires a special enzyme called reverse transcriptase which humans don't have. Proteins (that look like the spike proteins on SARS-CoV-2) are made directly from this mRNA message without involvement of our DNA at any time. Pieces of spike proteins get displayed on the outside of our cells and our body makes protective antibodies that then protects us handily against the future real virus if it were ever to enter our (or our children's) bodies. Our children's DNA or genes can never be affected by an mRNA vaccine.
"Lack of Info on Long-Term Side Effects"
Unlike medications that are taken daily or periodically and can build up over time, the mRNA in the Pfizer vaccine is evanescent. It literally is just the messenger (that is what the "m" in mRNA stands for) and the messenger quickly disappears. mRNA is extremely fragile and easily inactivated – that's why we need to encase it in a special fatty bubble and store the vaccines at extremely cold temperatures. Our cells break down and destroy the mRNA within a few days after receiving the instructions to make the virus spike proteins. The presence of these fragments of the virus (note this is not "live" virus) prompts our immune system to generate protective antibodies to the real thing. Our bodies break down mRNA all the time in normal cellular processes – this is nothing new.
What the transience of the delivery system means is that most of the effects of the mRNA vaccines are expected to be more immediate (sore arm, redness at the site, fever, chills etc.), with no long-term side effects anticipated. A severe allergic response has been reported to occur in some generally within the first 15 minutes, is very rare, and everyone gets observed for that as part of standard vaccine administration. Even with the very uncommon complication of myocarditis (inflammation of the heart muscle) and pericarditis (inflammation of the lining of the heart) seen primarily in young men under the age of 30 following mRNA vaccines, these typically happen within days to 2 weeks and many return to work or school in days. In the 70-year history of pediatric (and adult vaccines), dangerous complications happen in the first two months. There have been millions of adolescents as young as 12 years and thousands in the initial trial of children aged 5-11 who have already received the vaccine and are well beyond the two-month period of observation. There is no biological reason to believe that younger children will have a different long-term side effect profile compared to adolescents or adults.
"Small Sample Size in Kids and the Trial Design"
Although the Pfizer trial in children aged 5-11 was relatively small, it was big enough to give us statistical confidence in assessing safety and efficacy outcomes. Scientists spend a lot of time determining the right sample size of a study during the design phase. On one hand, you want to conduct the study efficiently so that resources are used in a cost-effective way and that you get a timely answer, especially in a fast-moving pandemic. On the other hand, you want to make sure you have enough sample size so that you can answer the question confidently as to whether the intervention works and whether there are adverse effects. The more profound the effect size of the intervention (in this case the vaccine), the fewer the numbers of children needed in the trials.
Statistics help investigators determine whether the results seen would have appeared by chance or not. In this case, the effect was real and impressive. Over 3,000 children around the world have received the vaccines through the trials alone with no serious side effects detected. The first press release reported that the immune response in children aged 5-11 was similar (at one-third the vaccine dose) to the response in the comparator group aged 16-25 years old. Extrapolating clinical efficacy results from immune response measurements ("immunobridging" study) would already have been acceptable if this was the only data. This is a standard trial design for many pediatric vaccines. Vaccines are first tested in the lab, followed by animals then adults. Only when deemed safe in adults and various regulatory bodies have signed off, do the pediatric vaccine trials commence.
Because children's immune systems and bodies are in a constant state of development, the vaccines must be right-sized. Investigators typically conduct "age de-escalation" studies in various age groups. The lowest dose is first tried so see if that is effective, then the dose is increased gradually as needed. Immune response is the easiest, safest and most efficient way to test the efficacy of pediatric vaccines. This is a typical size and design of a childhood vaccine seeking regulatory approval. There is no reason to think that the clinical efficacy would be any different in children vs. adults for a given antibody response, given the experience already in the remainder of the population, including older children and adolescents. Although this was primarily designed as an "immunobridging" study, the initial immunologic response data was followed by real clinical outcomes in this population. Reporting on the outcomes of 2,268 children in the randomized controlled trial, the vaccine was 90.7% effective at preventing symptomatic infection.
"Fear of Myocarditis"
Myocarditis (inflammation of the heart muscle) and pericarditis (inflammation of the lining of the heart) have been associated with receipt of the mRNA vaccines, particularly among male adolescents and young adults, typically within a few days after receiving the second dose. But this is very rare. For every million vaccine recipients, you would expect 41 cases in males, and 4 cases in females aged 12-29 years-old. The risk in older age groups is substantially lower. It is important to recognize that the risk of myocarditis associated with COVID is substantially higher. Patients present with new chest pain, shortness of breath, or palpitations after receiving an mRNA vaccine (more common after the second dose). But outcomes are good if associated with the vaccine. Most respond well to treatment and resolve symptoms within a week. There have been no deaths associated with vaccine-associated myocarditis.
In contrast, COVID-associated myocarditis has been associated with more severe cases as well as other complications including chronic symptoms of long COVID. The risk of myocarditis is likely related to vaccine dose, so the fact that one-third the dose of the vaccine will be used in the 5-11 year-olds is expected to correspond to a lower risk of myocarditis. At the lower dose given to younger kids, there has been a lower incidence of adverse effects reported compared to older children and adults who received the full dose. In addition, baseline rates of myocarditis not associated with vaccination are much lower in children ages 5-11 years than in older children, so the same may hold true for vaccine-associated myocarditis cases. This is because myocarditis is associated with sex hormones (particularly testosterone) that surge during puberty. In support of this, the incidence of vaccine-associated myocarditis is lower in 12–15-year-old boys, compared to those who were older than 16 years old. There were no cases of myocarditis reported in the experience to date of 5–11-year-old children in the trials, although the trial was too small to pick up on such a rare effect.
"Optimal Dose Spacing Interval: Longer Than 3 Weeks?"
There is a biologic basis for increasing the interval between vaccine doses in general. Priming the immune system with the first shot and then waiting gives the second shot a better chance of prompting a secondary immune reaction that results in a more durable response (with more T cell driven immune memory). One study from the U.K. showed that the antibody response in people over 80 was more than 3 times higher if they delayed the second dose to after 12 weeks for the Pfizer vaccine instead of the 3 weeks studied in trials. In a study of 503 British health care workers, there were twice as many neutralizing antibodies produced in a longer interval group (6-14 weeks) versus a shorter interval group (3-4 weeks) between doses. However, the safety and efficacy with longer intervals has not been evaluated in the pediatric or other COVID vaccine trials.
In the U.S., the C.D.C. reported that 88 percent of counties are at a "high" or "substantial" level of community transmission. Also, Europe is already experiencing a winter surge of infections that may predict more U.S. winter cases as international travel reopens. During a time of high community virus burden with a highly transmissible Delta variant, relying on one dose of vaccine for several more weeks until the second may leave many more susceptible to infection while waiting. One study from England showed that one dose of the Pfizer vaccine was only 33% protective against symptomatic Delta infection in contrast to 50% for the Alpha variant in adults. There has been no corollary information in children but we would expect less protection in general from one vaccine dose vs. two. This is a particularly important issue with the upcoming holiday season when an increased number of families will travel. Some countries such as the U.K. and Norway have proceeded with only offering older than 12 year-olds one dose of vaccine rather than two, but this was before the current European surge which may change the risk-benefit calculus. There are no plans to only offer one vaccine dose in the U.S. at this time. However a lower dose of the vaccine will likely be studied in the future for adolescents aged 12-15.
For parents worried about the potential risk of adverse effects of two doses of vaccines in their children, it is reasonable to wait 6-12 weeks for the second shot but it all depends on your risk-benefit calculus. There is biological plausibility to pursue this strategy. Although there is no pediatric-specific data to draw from, a longer interval may lengthen immune memory and potentially decrease the risk of myocarditis, particularly in boys. There may only be partial benefit in eliciting protective antibodies after one vaccine dose but only 2-4% of children are hospitalized with COVID once infected, with risk of severe illness increasing if they have comorbidities.
There are also some data indicating that 40% of children have already been exposed to infection naturally and may not need further protection after one shot. However, this percentage is likely a large overestimation given the way the data was collected. Using antibody tests to ascertain previous infection in children may be problematic for several reasons: uncertainty regarding duration of protection, variability in symptoms in children with most having very mild symptoms, and the lack of standardization of antibody tests in general. Overall, if the child has medical comorbidities such as diabetes, parents are planning to travel with their children, if local epidemiology shows increasing cases, and if there are elderly or immunocompromised individuals in the household, I would vaccinate children with two doses as per the original recommended schedule.
Bottom line: Given the time of the year and circulating Delta, I would probably stick with the recommended 3-week interval between doses for now for most children. But if parents choose a longer interval between the first and second dose for their children, I wouldn't worry too much about it. Better to be vaccinated - even if slowly, over time -- than not at all.