An improved strategy for drug screening may soon pave the way for novel medications for diseases that have previously seen little therapeutic innovation. A team of researchers, including scientists from Sema4, found that patient-derived cells offer a more effective approach for assessing drug response than conventional models, demonstrating the value of a precision medicine approach to drug screening.
The scientists from Icahn School of Medicine at Mount Sinai, Sema4, and Eli Lilly focused their study on schizophrenia, a severe neuropsychiatric disorder with a strong genetic component. Symptoms of schizophrenia can, in around one-third of individuals, be controlled with drugs that modulate dopamine activity. The remaining two-thirds of patients, however, do not respond to or have only a partial response to these medications, and drug discovery has been limited due to a lack of useful models for screening candidate treatments.
The team reasoned that, as drug response is thought to be a heritable component of schizophrenia, screening needs to take into account neuropsychiatric genetics and be carried out in a biologically-relevant model. At the outset of the study, the researchers used in silico prioritization to select drugs with predicted or demonstrated interactions with schizophrenia-related biology, allowing them to focus on a smaller, more refined set of drugs than is typically used in high-throughput screens. The resulting 135 candidate drugs were then used to treat neural progenitor cells from 12 schizophrenia patients and 12 healthy controls, along with eight generic cancer cell lines.
Following drug treatment, the scientists searched for drug-induced gene expression changes and found differential responses in schizophrenia biology-associated genes in the patient-derived cells compared with the control-derived cells and cancer cell lines. In some cases, certain drugs reversed the gene expression signatures associated with schizophrenia. The proof-of-concept study, published in Nature Communications, demonstrates that patient-derived cells yield more disease-relevant information than generic cell lines and establishes the feasibility of expression-based drug screens of patient-derived neural cells.
“This study is one of the first instances of transcriptomic drug screening, whereby we profiled the global response of neural cells following treatment,” said Dr. Kristen Brennand, Associate Professor of Neuroscience, Psychiatry, and Genetics and Genomic Sciences at Mount Sinai and senior author of the paper. “Our approach portends an entirely new way of screening drugs that doesn’t rely on synaptic assays, which are technically difficult to conduct, and demonstrates that there is tremendous value in gene expression-based drug screening using patient-derived cells because it can generate results that are more reflective of disease biology.”
Even with the initial in silico drug prioritization, the study was complex, requiring the use of an innovative high-throughput gene expression profiling technology from Genometry to optimize the number of expression signatures generated. Interpretation of the resulting massive dataset required a multinational effort, led by first author Benjamin Readhead in collaboration with Sinai colleague Gabriel Hoffman and Brian Eastwood of Eli Lilly in the United Kingdom.
“Collaborations are critical in the field of therapeutics discovery and development for the integration and holistic interpretation of increasingly granular and diverse data,” said senior author Dr. Radoslav Savić, Director of Scientific Collaborations at Sema4, Associate Professor of Genetics and Genomic Sciences at Mount Sinai and corresponding author of the paper. “This study demonstrates how unmet research needs can be addressed by connecting complementary forces, from experts based in academia, health systems, and industry, to the individuals who contribute their cells and without whom the work would not be possible.”
The results of the study show that neural cells from patients can respond differently to drugs than those from healthy controls, and should have immediate value in improving drug discovery, not only for schizophrenia but also for other diseases currently lacking biologically relevant screening models. “The next step is to expand the work into neurons, the cell type relevant to schizophrenia,” says Dr. Brennand. “It will be important to gather data such as this across more cell donors and more cell types, so we can discover the diversity of drug responses and refine our precision medicine approach further.”
If you could find out whether your newborn baby is at risk of developing treatable early-onset genetic diseases, would you want to know? A recent poll, commissioned by Sema4 and conducted online by Harris Poll, found that nine out of ten Americans would want this knowledge. Similarly, 87% of Americans said that they would likely request a supplemental non-invasive DNA test if their state’s newborn screening panel test did not cover many of the treatable conditions that could affect a child in their first years of life. I recently sat down with two new moms who did just that, ordering Sema4 Natalis, our new supplemental newborn screening test which screens for 193 early onset genetic diseases – around five times the number tested for on a typical state-mandated “heel prick” screen – all of which are treatable. The test also includes a genetic analysis of how a child is likely to respond to 38 medications commonly prescribed during childhood. This pharmacogenetic information can help pediatricians personalize treatment for a child and avoid adverse effects or incorrect doses of drugs, including antibiotics.
Kathryn Keho, a mom of three, used Natalis to screen her infant son, Asher, when he was a month old. Likewise, Michelle Harrison tested her daughter Eva at the same age. Both moms were savvy about the genetic testing options available before and during pregnancy, having opted for carrier and prenatal screening, and were eager to take advantage of postnatal testing. “It’s nice to have information to rule out things that they don’t normally test for,” Kathryn said. “I was hoping it would give me peace of mind, and it did.” Michelle, a wealth planner from Massachusetts, expressed a similar motivation for using Natalis: “I wanted to do this test as I will always opt for more information than less. My eldest daughter is seven, and the testing on offer has certainly changed since she was born. We’ve had additional testing with each child as it became standard, as we’ve always wanted to go down the route of knowledge.”
The advantage of knowing can be life-changing for children who test positive, as all 193 of the diseases covered by Natalis have a treatment or other intervention currently available. This actionability was the deciding factor for Michelle: “If there hadn’t been a positive action available for all the diseases, I don’t think we would have wanted that to hang over her,” she said. “I’m a planner, so if there’s no way to plan for it, I won’t find it useful.”
Both women remarked on the ease of the testing process. Kathryn, a marketing director living in California, does all her shopping online and was pleased that she could initiate medical testing in the same manner. She also appreciated not having to carve out time to visit a doctor. Each Natalis order requires physician approval, to ensure suitability of the test for the child, but this approval is performed remotely by a physician from the PWN network. “I just hit ‘order,’” said Kathryn. “I didn’t have to set up an appointment or deal with anyone else. But there was a support phone number, and you do have the included genetic counselor access as well, so I could talk to someone if I needed to.”
Once a physician has approved the order on the basis of answers to a brief medical survey, the Natalis kit is sent out in the mail so that DNA samples can be collected at home. A gentle cheek swab is used to obtain the DNA, a procedure that’s easy on the babies and the parents. “Eva didn’t mind; we didn’t mind. It was a very easy process,” said Michelle. “I’ve never done an at-home DNA test, so it was totally foreign, but it couldn’t have been easier. The instructions were very clear.” Kathryn’s son, Asher, was also completely onboard with the genetic sampling going on in his mouth: “He thought it was a pacifier,” she joked.
It takes around two to three weeks to receive the results of the genetic analysis. Neither mom found the wait stressful. “I wasn’t incredibly worried,” said Kathryn. “Asher was in the NICU for 26 days, so this was nothing. There was a level of curiosity, wondering when the results are going to get in. But I didn’t feel like we were going to find anything scary.” Michelle said she put it out of her mind because the outcome was something she could not control. As soon as an email popped up telling them that results were available, the women logged into the Sema4 patient portal on their phones. Both Eva and Asher tested negative for all 193 diseases tested. “I felt reassured about his health and glad that I’d taken the proactive step to screen him,” said Kathryn. Michelle’s immediate feeling was one of relief: “Even though they’re all treatable, it’s still a treatment. I’d always opt for good health.”
While neither baby’s disease screen indicated the need for further action, the results of the accompanying pharmacogenetic screen gave the moms useful, actionable information on how their children would respond to a variety of medications commonly prescribed during the early years. The medication report provides descriptions of what the different drugs are and how they are used, outlines how the child is likely to respond to each, and includes a summary that a parent can print out to give to their child’s pediatrician, as well as keeping in his or her wallet.Continue reading “The advantage of early insight: Two new Moms talk about their experience with Sema4 Natalis”
Going back to the earliest artwork and texts in history, humans have been fascinated with infertility. Old legends and myths tell stories of miraculous births. Hippocrates wrote of infertility, and instead of attributing the issue to magic, he strove to understand the anatomy and even began to formulate treatment options. When von Leeuwenhoek invented the microscope, and then in 1677 discovered sperm, a more modern understanding of infertility started to emerge. Soon, we began to understand cells and then organ systems, and we medically and surgically had our first success stories in treating and curing infertility. By the 1980s, the era of endoscopic surgery on the uterus and fallopian tubes had emerged.
In 1978, doctors Patrick Steptoe and Robert Edwards would change everything, and the first in vitro fertilization (IVF) baby, Louise Brown, was born. Millions of IVF births later, we began to face new problems and find new opportunities. All too often, in an attempt to increase pregnancy success rates, multiple embryos were being transferred, resulting in twins and even triplets. These multiple pregnancies frequently put both mom and the babies at risk.
We needed a way to identify the single best embryo for transfer to maximize the chance of a healthy pregnancy and minimize the possibility of a failed cycle, a miscarriage, or an unhealthy pregnancy. We began to realize that the physical appearance of an embryo is not the only predictor of its viability. Two identical looking embryos might produce very different outcomes if one of them carries genetic abnormalities. So, we needed a way to reliably and affordably test their genomic makeup to ensure that we only transferred the embryos with the best chance of success.
The genomic revolution now allows us to biopsy just a few cells from a blastocyst (early embryo) and get tens of thousands of points of information on every single chromosome, and nearly a million points of data on each embryo. Now we can tell whether the embryo is chromosomally normal or abnormal: Whether it is “euploid,” and contains 46 chromosomes, or “aneuploid” due to monosomy or trisomy of a chromosome or chromosomes. Today’s analytics are so sophisticated that we can even tell if small pieces of DNA are duplicated or deleted (segmental aneuploidy). We have now progressed from the organ to the cell to the subcellular to the genomic, and we’re able to identify the healthiest embryo. I think that this scientific progress is going to continue, and that it is going to continue to improve outcomes, as well as raise ethical issues, of which we must be both aware and respectful.
The next chapter in the genomic story will, I believe, open with whole exome sequencing and transition into whole genome and transcriptome sequencing. We’re going to pick up microdeletions and microduplications, and maybe no longer need genomic-based prenatal testing or chorionic villus sampling. I think that we are likely to be using gene panels to figure out whether an embryo is predisposed to become a child with early childhood cancer. It certainly is likely that, over the next few years, we will be able to use these technologies to prevent more and more diseases.
Another path to preventing disease may be the use of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats), which has captured my imagination recently. Instead of just diagnosing a patient or an embryo which is at risk of being unhealthy, what if we could take it that extra mile and fix something before it’s broken? Indeed, CRISPR has already been used to fix disease genes in viable human embryos, although these modified embryos were not allowed to develop beyond an early stage. The science of DNA editing is still in its infancy, but I can imagine a future where we could tell a pancreatic cell to make insulin just by repairing a broken gene or help a couple that is at risk of not being able to have a healthy baby for a variety of reasons. You can also see how DNA editing could stop a baby from expressing certain diseases. Another technique, mitochondrial replacement therapy, has already been approved in the UK. By replacing defective mitochondrial DNA (mtDNA) with healthy mtDNA from a donor egg, it may be possible to prevent babies from inheriting severe metabolic disorders. This year, we can routinely screen embryos with next-generation sequencing. Next year, perhaps we might be able to routinely fix an embryo.
Addressing the ethics accompanying these advances is, of course, of paramount importance. For the first time, humans can change the germline, and we can potentially alter evolution. The power of this technology is massive, but our responsibility, therefore, is also great. Groups that are doing groundbreaking research in this area need to have bioethicists as part of their team, and patients must always be informed.
I think that scientifically, within the next two to three years, we’re going to be able to rank an embryo and not just ask whether it is morphologically attractive and if it has 46 chromosomes. We will also learn about its implantation potential, and possibly even about the health and wellness of the future individual – an ethical slippery slope. Every one of these decisions is loaded – what to test for, how to test, and how to counsel a patient – and we must have deep information about the accuracy, precision, and potential consequences of using such information. I could foresee a future in which testing and embryo selection decisions are made with the patient and the reproductive endocrinologist, as well as the geneticist, the data scientist, and maybe even the bioethicist. The data scientist is crucial as informatics has massive potential to revolutionize fertility outcomes and will usher in the next, post-genomic stage in the evolution of reproductive medicine – a topic I will explore further in my next post.
Alan B. Copperman, M.D.
Chief Medical Officer
Glioblastoma multiforme (GBM) is a highly aggressive form of brain cancer, with a median survival time of just one year following diagnosis. Treatment is complicated by the considerable variability in GBM tumors – what works for one tumor often fails to work for another. Selecting the most appropriate treatment may soon, however, be easier, thanks to an improved GBM classification system, developed by Mount Sinai and Sema4 scientists and published in Cancer Research.
A team of researchers, led by Sema4’s Head of Data Sciences Jun Zhu, PhD, reasoned that an improved GBM classification system could help clinicians to select the most pertinent therapy – a case of “know your enemy”. Some GBM tumors are dependent on the mitotic spindle checkpoint molecule BUB1B for their survival, so his team mined complex datasets to produce an innovative computational method to classify tumors based on their BUB1B dependency. In doing so, they uncovered new tumor subtypes and found that while BUB1B-sensitive tumors had a significantly worse prognosis, they were also predicted to be more responsive to many of the cancer drugs already in clinical use.
The molecular subtypes identified in this new study appear to provide a more accurate estimate of prognosis and therapeutic response than existing classifications. One reason that previous classifications have failed to lead to effective personalized treatments is the high degree of intratumoral heterogeneity in GBM. Cells from different parts of the tumor may belong to different molecular subtypes and, therefore, subtype-specific therapies fail to eradicate all the cancerous cells. The BUB1B classification system, however, does not suffer the same defect.
“It was a pleasant surprise to us that our subtype is stable for heterogeneous tumor cells within a GBM tumor and, thus, it is possible to kill all tumor cells instead of just a subgroup,” says Dr. Zhu. “Preliminary results indicate that the stability is associated with certain genomic features, but more data are needed to understand why. More importantly, we also need to work out how to leverage the subtype information to develop mechanism-specific therapies.”
“These findings underscore the significant potential we see to improve patient outcomes by investing in predictive modeling of even the most complex types of cancer,” explains Eric Schadt, PhD, Sema4’s CEO and Dean for Precision Medicine at Icahn School of Medicine at Mount Sinai.
The study was the result of a multidisciplinary collaboration between computational scientists and clinicians – a characteristic of many Sema4 research projects. Information generated from our integrative studies – such as the GBM project and a recent examination of lung cancer mutations – is the first step towards designing improved diagnostic tests and optimizing personalized cancer therapies. Currently, Sema4 offers the Oncology Hotspot Panel, which provides information on over 200 mutational hotspots associated with a range of cancers. As our knowledge of cancer genomics increases so too will our ability to expand this number, leading to improved diagnosis, treatment, and survival rates for cancers including glioblastoma. “We look forward to building on this collaborative project and moving toward development of a diagnostic test that could help physicians better understand and treat their patients’ glioblastoma cases,” says Dr. Schadt.
Nearly quarter of a million Americans will be diagnosed with lung cancer in 2018, according to new estimates published by the American Cancer Society, and lung cancer will be responsible for more deaths than the next three most common cancers (breast, prostate, colon) combined.
Cancer arises due to genetic mutations – changes in the patient’s DNA. By figuring out precisely which genetic variants instructed their patient’s lung cells to change from normal to cancerous, doctors can select personalized therapies targeted to these mutations and minimize non-specific side-effects.
Sema4 and Mount Sinai scientists recently profiled the range of mutations found in non-small cell lung cancer (NSCLC), the most common form of lung cancer. They examined DNA from 932 NSCLC tumors and found nearly 3,000 mutations in cancer-associated genes, demonstrating the clinical utility of targeted next-generation sequencing with a focused oncology hotspot panel in NSCLC. The study, published in Genome Medicine, provides a comprehensive overview of not only the genetics but also potential treatment options for NSCLC, as actionable mutations were present in 65% of the patients.
In addition to detecting known mutations, the Sema4 team also identified novel lung cancer mutations by combing through the large volume of sequencing data generated during panel analysis. An activating somatic mutation was detected in the JAK2 gene in one in every 100 patients. This genetic variant would be expected to cause over-activity of the JAK-STAT cell signaling pathway, so the Sema4 researchers trawled publicly available pharmacogenomic data to investigate potential therapies, and found that the mutation could confer sensitivity to both JAK inhibitors and anti-PD1 immunotherapy. They also detected activating germline mutations in the JAK3 gene, in 7% of patients, that would be predicted to render tumors susceptible to anti-PD1 treatment.
“These novel mutations define a unique disease mechanism that has not been previously described in lung cancer, therefore facilitating the development of personalized treatments for patients with these variants,” says lead author Dan Li, PhD. “Going forward, we will continue to perform integrative analyses of cancer genetic data and patient clinical data to discover novel predictive biomarkers for treatment response. We will also develop and implement improved cancer genetic testing platforms for diagnosis.” Sema4’s current testing platform, the Oncology Hotspot Panel, analyzes 207 mutational hotspots across the genome that are known to be associated with cancer.
The clinical implications of the novel mutations were identified through an integrative analysis of genetic, genomic, and pharmacogenomic data. Mining large, multidisciplinary data sets is a central element of Sema4’s research ethos and one that successfully uncovers information that can directly impact clinical decision-making, as shown by this study and another recent study on glioblastoma. Our team is committed to using this approach to improve diagnosis, treatment, and outcomes for cancer patients, including the one in 16 Americans who will be diagnosed with lung cancer in their lifetime.
Today we celebrate Rare Disease Day, an international day of awareness that shines a light on rare diseases and their impact on patients’ lives. The day’s theme this year is one fundamental to Sema4’s mission: research. More than 7,000 rare diseases have been identified to date, 80% of which are caused by known genetic factors and, collectively, these diseases affect 30 million Americans, half of whom are children. While on a worldwide population level these diseases may be rare, in some population groups they are dramatically enriched. Reports from rare disease communities, biotech companies focused on rare diseases, and rare disease researchers indicate that it takes most rare disease patients on average five to eight years to obtain an accurate diagnosis, during which time irreversible damage can occur to their health. How, then, can we reduce the duration of that diagnostic odyssey and improve health outcomes?
Diagnosis is typically made after symptoms have manifested, but for many patients, the answer lies in their DNA from birth. We built on our expertise in medical and pediatric genetics, as well as our roots in the Mount Sinai Health System, to create Sema4 Natalis, a supplemental newborn screen designed to detect the strongest genetic risk factors of rare diseases even before the onset of symptoms. Until now, families have been likely to be caught off-guard by these early-onset diseases, and prognosis is often poor by the time symptoms have manifested, a problem compounded by the long wait for an accurate diagnosis. Natalis was developed to help address this issue of undiagnosed pediatric illness by using next-generation DNA sequencing and analysis to supplement traditional newborn screening.
Natalis screens for 193 childhood-onset diseases or disorders — more than five times the number on most standard state-mandated newborn screening tests — and also includes a pharmacogenetic analysis of how a child is likely to respond to 38 medications commonly prescribed in childhood. Our goal when designing Natalis was simple: to identify babies at risk for these 193 diseases, and allow pediatricians to reach a diagnose and deliver interventions – sometimes as simple as vitamin supplements – in time to make a real difference in the life of a child. Rare diseases included in Natalis, but not in most state-mandated screens, include spinal muscular atrophy (for which a recently FDA-approved drug offers treatment), atypical epilepsy (for which vitamin B6 supplementation can reduce or prevent seizures), and mutations that lead to certain childhood cancers at exceptionally high rates (where knowledge of such high risk can lead to more frequent monitoring).
We designed Natalis to provide results that are both accurate and medically actionable, based on years of research and clinical experience in molecular diagnostics. It was essential that Natalis meet three strict criteria: analytical validity, clinical validity, and clinical utility. Testing takes places in our CLIA-certified laboratory, using advanced next-generation sequencing technology that is >95% accurate, guaranteeing analytical validity. All positive test results are confirmed with a second sequencing technology. To ensure clinical validity, we only included diseases with “high penetrance,” meaning that if a patient tests positive for a disease-associated variant, there is a high probability (>80-95%) that he or she will develop symptoms of that disease. Finally, clinical utility was achieved by only including diseases for which there is a medical intervention available.
Although ordering Natalis can be initiated online, it is distinct from direct to consumer (DTC) tests in that the order must be approved by one of our independent physicians to ensure it is medically appropriate for the child. Parents can also opt to order the test through their own physician. These features, along with the inclusion of genetic counseling, set Natalis apart from DTC tests. We are hopeful that Natalis will be embraced by patients and physicians in as positive a way as hereditary cancer testing, which is available in DTC form and has markedly improved outcomes for patients despite looking for disease-associated variants with far lower penetrance than those in Natalis.
To assess the attitudes of consumers toward genetic screening for newborns, Sema4 recently commissioned a Harris poll – just one component of our overall program to gain new insights into genomic health – which revealed that the majority of Americans are in favor of newborn genetic screening. 88% of Americans said that if they could find out just after their baby is born about their child’s genetic risk of getting a treatable early-onset disease, they would want to know. We are also in the process of launching a clinical study to explore the utility of supplemental newborn screening to both patients and physicians, including how individuals respond to this new type of actionable information, what actions they take as a result, and how this ultimately impacts health outcomes and healthcare utilization. Through our consumer research, clinical study, and Natalis itself, we seek to understand, in partnership with our patients and the scientific and medical communities, the benefits of obtaining supplemental genetic information at birth and whether DNA screening for treatable childhood disorders should become the standard of care.
As a parent, I understand all too well the emotions surrounding the birth of a child and the urge to keep them safe. When my first baby was born, I was consumed by fears, most of which I could allay through preventative measures: removing loose bedding, installing a baby gate, and keeping up to date with vaccinations. But, some things were out of my control: what if he would one day develop a genetic disease that not even I, an expert in genetics, could predict or fix? A test like Natalis back then would, I think, have provided tremendously empowering insights. Looking forward, I firmly believe Natalis will give other parents the advantage of early insight in support of the care of their children and am proud to be leading the way with Sema4 in this new age of genomic medicine.
Eric Schadt, Ph.D.
Founder and Chief Executive Officer
Imagine having a child with a disease so rare that doctors have no idea what is wrong and therefore how to help. This is the reality today for parents of children with rare diseases, a group of more than 7,000 diverse conditions, 80% of which are caused by genetic factors. Today is Rare Disease Day, an international day of awareness focused on rare diseases and the individuals affected by them, including 30 million Americans, half of whom are children.
It takes rare disease patients on average eight years to obtain an accurate diagnosis, during which time their health may have suffered irreversible damage. Earlier this month, we launched Sema4 Natalis, an extensive supplemental newborn screen that aims to provide parents with an accurate diagnosis, even before symptoms occur. Natalis screens for 193 treatable childhood-onset conditions — more than five times as many as the average state-mandated (“heel prick”) test — using advanced DNA sequencing technology. Rare diseases included in Natalis, but not in most state-mandated screens, include spinal muscular atrophy, atypical epilepsy, and certain childhood cancers, among many others. The test also includes a pharmacogenetic analysis of how a child is likely to respond to 38 medications commonly prescribed in childhood.
Natalis is the product of years of research and hard work at Sema4. We couldn’t be prouder to see it finally enter the world – it is, in effect, our own newborn! Natalis can detect genetic risk factors for rare diseases before the onset of symptoms, allowing pediatricians to reach a diagnosis and deliver interventions — sometimes as simple as vitamin supplements — in time to make a real difference. The availability of established medical treatments for all 193 conditions was an important guideline when designing our test to ensure that we only deliver medically useful information. Another vital factor was including only genetic variants highly likely to cause disease. While not every child born with one of these variants will get the disease, the probability is high enough (>80-95%) to merit attention.
Testing your newborn with Natalis couldn’t be easier. The kit can be ordered online during pregnancy, to make sure it is handy when baby makes his or her debut in the world. One of our independent physicians reviews each order to ensure it is medically appropriate for the child, and, if approved, the kit is mailed out to your home. Parents who do not want to order online can order the test through their doctor. DNA is collected from the baby’s mouth using a gentle swab and returned in the prepaid box to our CLIA-certified laboratory, where we use advanced DNA sequencing to analyze your baby’s genes with >95% accuracy. Analysis takes around two weeks, after which the results are available online in our patient portal. Every Natalis order also comes with a genetic counseling session to go over results and potential next steps.
We believe that Natalis will empower parents by giving them the advantage of early insight into their child’s health. It seems that the public agrees: 88% of Americans say that if they could find out just after their baby is born about their child’s genetic risk of getting a treatable early-onset disease, they would want to know, according to the results of a new Harris poll, commissioned by Sema4. For our part, we are thrilled to have brought Natalis into the world, and can’t wait to see the impact it will have on reducing the average time to a rare disease diagnosis as well as the associated heartbreak.
To learn more about Natalis and newborn screening, join us on March 7th from 1-1:45pm EST for a Facebook Live conversation with top reproductive health experts Dr. Alan Copperman (CMO of Sema4 and Medical Director of RMA of New York) and Dr. Joanne Stone (Director of Maternal Fetal Medicine at the Mount Sinai Hospital). In the meantime, you can find out more about Natalis here: sema4.com/natalis.
November 9th is Genetic Counselor Awareness Day. Today, we recognize our amazing team and genetic counselors across the world for their countless contributions to providers, patients, and the research community. Genetic counselors play a critical role in the shifting healthcare landscape. They work directly with doctors, patients, and their families to help them understand genetic testing, guide them through the process, and help them make informed choices based on their results.
The role of genetic counselors has evolved over the years. Traditionally, a laboratory genetic counselor was “behind the scenes” using their expertise to ensure a requested test is patient-appropriate, interpreting the results, and compiling reports for providers. There was usually little or no direct patient contact. Today, Sema4’s genetic counselors and those at other labs are committed to open communication at all levels. “While the doctor is still at the center of the process, the goal at our diagnostic labs is to establish a direct line of communication with the patient,” explains Lama Elkhoury, MS, CGC, Sema4’s Director of Genetic Counseling Services. “Our team proactively calls patients with positive genetic testing results to explain the results and provide compassionate guidance on care options. Patients are also welcome to contact us directly with questions.” One area Lama’s team is currently involved with is counseling users of Sema4’s Expanded Carrier Screen, which tests prospective parents for more than 280 genetic diseases, and advising them about what their results could mean for their future children.
Genetic counselors are also serving as an increasingly valuable resource for physicians, educating them on genetic diseases, helping them select the most appropriate genetic tests and interpreting results. Given the rapidly growing complexity and applicability of genetic testing, that level of laboratory access is more important to physicians today than ever before. More and more non-genetic professionals, like cardiologists, pediatricians, and neurologists, are ordering genetic tests to help determine what role family history and background might play in a disease and its treatment for patients. Genetic testing is now expanding well beyond routine prenatal and oncologic risk assessments. “With the move to personalized medicine,” notes Lama, “completely healthy individuals are now deciding to take a peek at their genomes to see how they can promote healthier lifestyles.”
The ability of Sema4 and its team of highly-trained and experienced lab counselors to tangibly help this widening universe of consumers is what makes Lama particularly excited about the period ahead. “I’m a patient advocate above all else,” she declares, “and nothing gives me greater satisfaction at the end of the day than to see how everyone’s hard work positively impacts so many individuals.”
Over the course of just a few decades, we have become consumers and generators of a massive amount of digital data. From billions of search queries every day, to the growing number of gaming interactions around the globe, to countless videos streaming on our wired and mobile devices, the amount of data zooming across the internet this year alone will exceed one zettabyte. (That’s a 1 followed by 21 zeroes.) To give you a sense of the magnitude of this number, one zettabyte is equivalent to the amount of data that can be stored on 7.8 billion 128 gb iPhones or close to the number of stars in the universe.
This dramatic rise in the scale of our digital data is paralleled by rapid advances in information science, which has accelerated our ability to analyze these vast oceans of data. In both large and small ways, the insights derived from big data now influence our daily experiences—from how we book a flight or manage our finances, to the films and music we choose. Yet, while big data has already transformed life as we know it, this is just the very beginning.
As we look to the future of healthcare, health data at scale may hold the key to revolutionizing how we diagnose, treat, and prevent diseases. The vast wealth of health and personal data now available to us can give us greater insight into what constitutes disease—from the genes we are born with and the genetic makeup of the trillions of bacteria that inhabit our bodies, to our lifestyle habits and the myriad of environmental factors we encounter daily. We believe that, by sharing and analyzing this data, we can build better predictive models to guide how we approach and affect our health.
The launch of Sema4 is our next step in realizing this vision. Originating from the Icahn Institute for Genomics and Multiscale Biology and the Department of Genetics and Genomic Sciences at Mount Sinai, Sema4 is differentiated by a strong foundation of clinical expertise, world-class academic research, and pioneering information science. Our interdisciplinary team also brings diversity in both expertise and perspective to these efforts. From scientists, doctors, and genetic counselors, to engineers, designers, and bioinformaticians, the Sema4 team, itself, is a powerful network that is uniquely poised to drive innovation in this space.
Maybe you are starting your family and hoping for better health for your children. Perhaps you are facing a chronic illness and looking for answers. Or maybe you are a clinician invested in improving outcomes for your patients. For every one of us, harnessing health data can revolutionize how we define, understand, and create wellness. Our work at Sema4 is our commitment to making this possibility a reality. We believe that, together, we can channel the combined powers of science and technology to bring about meaningful change in our healthcare. Today, with the launch of Sema4, we are excited to start this journey toward a healthier future with you.
Eric Schadt, Ph.D.
Chief Executive Officer