Process of associating human genetic variation that has been identified with specific traits, including diseases or wellness.
News | Variants to Disease & Traits
Mono- and biallelic variant effects on disease at biobank scale
Identifying causal factors for Mendelian and common diseases is an ongoing challenge in medical genetics. Population bottleneck events, such as those that occurred in the history of the Finnish population, enrich some homozygous variants to higher frequencies, which facilitates the identification of variants that cause diseases with recessive inheritance. In this work published in Nature by CGM Investigators Mark Daly, Aarno Palotie, Heidi Rehm, and colleagues, the richness of FinnGen was leveraged to examine homozygous and heterozygous effects of 44,370 coding variants on 2,444 disease phenotypes using data from the nationwide electronic health records of 176,899 Finnish individuals. They found associations for homozygous genotypes across a broad spectrum of phenotypes, including recessive disease associations that would have been missed by the additive model that is typically used in genome-wide association studies. Importantly, the group also found variants that are known to cause diseases with recessive inheritance with significant heterozygous phenotypic effects, and presumed benign variants with disease effects. This work powerfully illuminates how biobanks, particularly in founder populations, can broaden our understanding of complex dosage effects of Mendelian variants on disease.
Read more in Nature
Polygenic architecture of rare coding variation across 394,783 exomes
Both common and rare genetic variants influence complex traits and common diseases. Genome-wide association studies have identified thousands of common-variant associations, and more recently, large-scale exome sequencing studies have identified rare-variant associations in hundreds of genes. However, rare-variant genetic architecture is not well characterized, and the relationship between common-variant and rare-variant architecture is unclear. In this manuscript in Nature, CGM investigators Konrad Karczewski, Elise Robinson, and Ben Neale leverage the UK biobank exomes resource to quantify the heritability explained by the gene-wise burden of rare coding variants across 22 common traits and diseases in 394,783 exomes. In this analysis, rare coding variants explain 1.3% of phenotypic variance on average. This variance is much less than that explained by common variants-and most burden heritability is explained by ultrarare loss-of-function variants (allele frequency < 1 × 10-5). Overall, the results indicate that common and rare associations are mechanistically convergent, and that rare coding variants will contribute only modestly to missing heritability and population risk stratification.
Read more in Nature
February 20, 2023
Publication
CGM Primary Investigators
A cross-disorder dosage sensitivity map of the human genome
Large copy number variants (CNVs) are strong risk factors for human developmental disorders, yet interpretation of their functional consequences remains a considerable challenge, particularly for partial or complete duplication of a gene. Here, CGM Investigators Mike Talkowski and Harrison Brand jointly analyzed genetic data from nearly one-million individuals across 54 disorders to produce a ‘dosage sensitivity’ map of human diseases. This catalog nominated 163 disease-relevant loci and used a machine learning approach to create dosage sensitive metrics (pHaplo and pTriplo) that predicted 2,987 genes intolerant to deletion and 1,559 triplosensitive genes that were intolerant to duplication. These metrics were openly distributed and have been integrated into the DECIPHER database.
Read more in Science Direct
The Gene Curation Coalition: A global effort to harmonize gene-disease evidence resources
To hear more about the GenCC, listen to the Genetics in Medicine GenePod podcast featuring an interview of Rehm and Marina DiStefano.
SLALOM suggests caution with meta-analysis fine-mapping interpretation
After researchers combine multiple genome-wide association studies into a meta-analysis, they often seek causal variants using methods built for single-cohort studies. CGM PI’s Hilary Finucane, Mark Daly, and colleagues showed that this fine-mapping approach is often miscalibrated due to heterogeneous characteristics of the individual cohorts, such as different genotyping arrays or imputation panels. They built a quality control method, SLALOM, and applied it to 14 disease endpoints from the Global Biobank Meta-analysis Initiative (GBMI), finding that 68 percent of fine-mapped loci showed signs of potential inaccuracy. The findings suggest caution when interpreting meta-analysis fine-mapping results until improved methods are available.
Read more in Cell Genomics and Masa Kanai’s tweetorial.
Faculty | Variants to Disease & Traits
Christopher D. Anderson, MD, MMSc
Associate Neurologist, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
Dr. Anderson is a Neurocritical Care physician with research expertise in the medical genetics of complex diseases, specifically ischemic and hemorrhagic stroke. His career research goal is to use computational, genetic, and epidemiologic tools to derive new information about the mechanisms underlying cerebrovascular disease, and to use this information to drive improvement in stroke care through the identification of novel treatment targets and implementation of precision strategies for primary and secondary prevention.
Susan L. Cotman, PhD
Assistant in Neuroscience, Massachusetts General Hospital
Assistant Professor of Neurology, Harvard Medical School
The Cotman laboratory’s research is focused on understanding the role of the endosomal-lysosomal system in human disease, with a particular emphasis on NCL (Batten disease), the most common cause of neurodegeneration in childhood that also more rarely affects adults.
Mark J. Daly, PhD
Chief, ATGU, Massachusetts General Hospital
Associate Professor of Medicine, Harvard Medical School
The Daly Lab focuses on computational approaches to understanding the genetics of human disease using integrative genomics approaches. The lab has extensive experience in linkage and association analysis, with a focus on developing statistical methods for the design and interpretation of association studies, and applying these approaches specifically to major common disease areas such as neuropsychiatric disease, inflammatory bowel and autoimmune diseases, and diabetes.
Alysa E. Doyle, PhD
Psychologist, Massachusetts General Hospital
Assistant Professor of Psychiatry, Harvard Medical School
We study neuropsychiatric illness and related outcomes across the lifespan. Our research aims to promote a better understanding of the development of neuropsychiatric illness across the lifespan by investigating risk mechanisms, phenotypic variation, and moderators of youth trajectories.
Erin C. Dunn, MPH, ScD
Associate Investigator, Massachusetts General Hospital
Associate Professor, Harvard Medical School
Our research seeks to understand the drivers of both mental illness and mental wellbeing across the lifespan. Much of our work has focused on the social and biological underpinnings of depression and anxiety among women, children, adolescents, and other vulnerable populations, including racial/ethnic minorities and people of low socioeconomic status.
We study a range of biological factors and processes contributing to mental health—including the role of genetic variation and epigenetic mechanisms—as well as biological markers of future risk, such as markers captured in children’s primary (or baby) teeth.
We study multiple social factors, including the role of early life environmental exposures and stressors such as childhood adversity, on mental health.
Jose C. Florez, MD, PhD
Chief, Endocrine Division and Diabetes Unit, Massachusetts General Hospital
Professor of Medicine, Harvard Medical School
The Florez lab aims to unravel the genetic basis of type 2 diabetes, related metabolic traits and its vascular complications, and provide the rationale for effective, precision-tailored therapies. The overarching goal is to bring the clinical treatment of diabetes and its complications into the new paradigm of molecular medicine, using genomic, metabolomic, experimental, physiological and pharmacogenetic approaches.
Tian Ge, PhD
Assistant Investigator, Massachusetts General Hospital
Assistant Professor of Psychiatry, Harvard Medical School
The Ge Lab develops new computational approaches to advance precision medicine. Research in the Ge Lab broadly focuses on statistical genetics and neuroimaging genetics. We develop new statistical, computational and machine learning methods to analyze and integrate large-scale genomic, neuroimaging, behavioral and electronic health records data.
James F. Gusella, PhD
Research Staff, Massachusetts General Hospital
Bullard Professor of Neurogenetics in the Department of Genetics, Harvard Medical School
Dr. Gusella’s laboratory is currently pursuing collaborative studies at all stages of the genetic research cycle aimed at discovering genes that cause, predispose to or modify neurological and behavioral disorders or caused abnormal development in subjects with balanced chromosomal aberrations and developmental phenotypes, delineating mechanisms of pathogenesis and modifiers in Huntington’s disease, the neurofibromatosis, and autism and exploring the potential for mechanism-based treatments.
Stephen J. Haggarty, PhD
Associate Neuroscientist, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
The Haggarty Laboratory seeks to elucidate and modulate the molecular mechanisms underlying neuroplasticity, the brain’s ability to change and reorganize its structure, function, and connections in response to various experiences and learning, for the prevention and treatment of psychiatric and neurological disorders.
Hailiang Huang, PhD
Assistant Investigator, Massachusetts General Hospital
Assistant Professor of Medicine, Harvard Medical School
The Huang Lab develops and applies cutting-edge statistical genetics and computational techniques to understand the genetic architecture of human complex disorders, especially autoimmune and psychiatric disorders. We are especially interested in novel methods to leverage cross-ancestry genomics data for insights into the disease pathogenesis.
Konrad J. Karczewski, PhD
Assistant in Investigation, Massachusetts General Hospital
Instructor in Medicine, Harvard Medical School
Our research is focused on interpreting putative disease variants in common and rare diseases to improve our understanding of human disease and the regulation of the human genome. We do so by assembling and analyzing massive public datasets of genetic variation and functional genomics, building scalable tools and methods to keep pace with the exponential growth of these data types.
Rakesh Karmacharya, MD, PhD
Physician Investigator, Massachusetts General Hospital
Associate Professor, Harvard Medical School
Our lab uses experimental approaches at the intersection of chemical biology, genetics and stem cell biology to investigate cellular pathways relevant to schizophrenia, bipolar disorder, autism and related neuropsychiatric disorders. We utilize complementary approaches in specific cellular subtypes and in three-dimensional cerebral organoids generated from human iPSCs. We employ a range of methods including high-content imaging to investigate synaptic biology, multi-electrode arrays to examine neuronal function along with transcriptomic, proteomic and metabolomic experiments. We seek to develop new small molecules that can modulate disease-related processes in patient-derived neurons and develop new therapeutic approaches for targeting cognitive deficits in psychiatric disorders.
W. Taylor Kimberly, MD, PhD
Chief, Division of Neurocritical Care, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
The Kimberly Lab is committed to reducing the devastating effects of acute brain injury by focusing on translational studies that bridge basic science and clinical research. We believe that therapeutic discovery is not a linear path from fundamental mechanism to new drug, but instead a cycle that requires bi-directional and multidisciplinary integration of basic and patient-oriented research. A presence at each stage of discovery—both directly and through strategic collaboration—is central to our mission to advancing new treatments. Consequently, our laboratory is highly multidisciplinary and collaborative, and our work could not be accomplished without our collaborative partners.
Ben P. Kleinstiver, PhD
Investigator; Kayden-Lambert MGH Research Scholar 2023-2028, Massachusetts General Hospital
Assistant Professor, Harvard Medical School
The Kleinstiver lab develops genome editing technologies for research applications and for the treatment of human diseases. We develop new approaches and methods to engineer genome editing enzymes, to optimize the properties of CRISPR tools, and to add new functionalities to the editor toolbox, all with the ambition of enabling new treatments for disease.
Jong-Min Lee, PhD
Associate Investigator, Massachusetts General Hospital
Associate Professor, Harvard Medical School
My lab is focused on studying underlying mechanisms and genetic modifiers of neurodegenerative diseases including Huntington’s disease to develop rational therapeutic strategies. For this, we are taking integrated approaches focusing on observations in humans. Major focus areas that are critical to understand pathogenesis and to develop therapeutic strategies include: 1) investigation of molecular mechanisms of tissue specificity, 2) identification of early molecular events, 3) discovery and functional follow-up of genetic modifiers, 4) investigation of genome instability, and 5) developing allele-specific genome editing strategies to address disease-causing mutations.
Phil H. Lee, PhD
Assistant in Research, Massachusetts General Hospital
Assistant Professor, Harvard Medical School
We use computational and statistical approaches to understand the genetic bases of complex neuropsychiatric traits and mental disorders. Multivariate pathway analysis forms the backbone of our research on identifying disease risk genes and mechanisms. We also apply multi-modal data analysis integrating genomic and neuroimaging data.
Marcy E. MacDonald, PhD
Research (Non-Clinical) Staff, Massachusetts General Hospital
Professor of Neurology, Harvard Medical School
Our research, evolving from the discovery of the genetic causes of inherited brain disorders (hereditary spastic paraparesis, neurofibromatosis, neuronal ceroid lipofuscinosis, Huntington’s disease), is now largely focused on the DNA variants that modify the effects of the unstable expanded CAG repeat that causes Huntington’s disease. We do molecular genetic studies with disease and population cohorts and genetically precise model systems. Our goal is to enable timely intervention, diagnosis and disease-management.
Alicia Martin, PhD
Assistant Investigator, Massachusetts General Hospital
Assistant Professor, Harvard Medical School
As a population and statistical genetics lab, our research examines the role of human history in shaping global genetic and phenotypic diversity. Given vast Eurocentric study biases, we investigate the generalizability of knowledge gained from large-scale genetic studies across globally diverse populations. We are focused on ensuring that the translation of genetic technologies particularly via polygenic risk does not exacerbate health disparities induced by these study biases. Towards this end, we are developing statistical methods, community resources for genomics, and research capacity for multi-ancestry studies especially in underrepresented populations.
Patricia L. Musolino, MD, PhD
Physician-Scientist, Massachusetts General Hospital
Assistant Professor of Neurology, Harvard Medical School
The Musolino Laboratory at the Center for Genomic Medicine at Massachusetts General Hospital and Harvard Medical School is a translational neuroscience laboratory focusing on developing gene targeted therapies for inherited inborn errors of metabolism and cerebrovascular disorders that lead to stroke and leukodystrophy.
Pradeep Natarajan, MD, MMSc
Director of Preventive Cardiology, Massachusetts General Hospital
Associate Professor of Medicine, Harvard Medical School
The Natarajan Lab focuses on the germline and somatic genetic drivers of human atherosclerosis applying advances in genomic profiling with concomitant methods development. The interdisciplinary group spans human genetics, computational biology, and clinical medicine. The lab spearheads and contributes to several research consortia, often spanning hundreds of investigators and millions of participants to achieve project goals.
Benjamin M. Neale, PhD
Associate Investigator, Massachusetts General Hospital
Associate Professor of Medicine, Harvard Medical School
The Neale lab focuses on uncovering the genetic risk factors of common disease, in particular through international collaboration to diversify the global representation of study participants, as well as the research community involved in such efforts. We develop statistical methods and computational tools to enable efficient and scalable analysis of the growing datasets available in genetic sequencing studies.
Aarno Palotie
Lecturer, Harvard Medical School
Group Leader, Massachusetts General Hospital
Understanding disease genetics using the Finnish founder population
Heidi L. Rehm, PhD
Chief Genomics Officer, Massachusetts General Hospital
Professor of Pathology, Harvard Medical School
The Translational Genomics Group (TGG) has a mission to support the discovery of the genetic basis of rare disease and translate our work into medical practice by focusing on community-centered projects that promote collaboration, data sharing and open science. Heidi Rehm leads the TGG, with co-leadership by Anne O’Donnell-Luria for the rare disease group and Mark Daly for the gnomAD project. TGG is composed of a multidisciplinary team of researchers, clinicians, computational biologists, and software engineers. We are located at Massachusetts General Hospital and the Broad Institute of MIT and Harvard.
Elise B. Robinson, ScD
Assistant Investigator, Massachusetts General Hospital
Assistant Professor of Psychiatry, Harvard Medical School
Our lab’s research focuses on the genetic epidemiology of behavior and cognition. We are interested in using genetic data to understand the biology of neurodevelopmental variation, and to study differences within and between neuropsychiatric disorders. The Robinson lab uses techniques from statistical genetics and epidemiology to study how common and rare genetic risk factors for severe neuropsychiatric disorders may differ and develops approaches for examining these questions in large samples.
Jonathan Rosand, MD, MSc
J. P. Kistler Endowed Chair in Neurology, Massachusetts General Hospital
Professor of Neurology, Harvard Medical School
The hallmark of our work is the combination of careful clinical characterization of patients with the most rigorous approaches to genetics. We work in partnership with patients and their families to understand the factors that contribute to maintaining vascular brain health across the lifespan. We are a leading contributor to the performance and analysis of high-throughput genome-wide association and sequencing studies in stroke and related traits. At our core, we serve as a training ground for outstanding scientists and clinician-scientists who go on to become world-class leaders in the field. The lab has created a legacy of multidisciplinary teams that are successfully tackling some of the most pressing challenges in brain disease. Among these teams is the International Stroke Genetics Consortium, which we founded in 2007 to bring together the world’s pre-eminent stroke investigators.
Kaitlin E. Samocha, PhD
Assistant Investigator, Massachusetts General Hospital
Our group studies patterns of rare genetic variation in large collections of human genomic data, both from patients and reference population individuals, and designs tools and methods to help interpret that variation. We are focused on moving from studying single variants at a time to understanding how they impact disease in their genomic context.
Richa Saxena, PhD
Professor of Anesthesia, Harvard Medical School
Jeremiah M. Scharf, MD, PhD
Physician-Scientist, Massachusetts General Hospital
Assistant Professor of Neurology, Harvard Medical School
The Scharf lab investigates the genetic and neurobiological mechanisms of Tourette Syndrome (TS) and related developmental neuropsychiatric disorders that lie at the interface between traditional concepts of neurologic and psychiatric disease, including obsessive compulsive spectrum disorders (OCD/OCSD) and attention-deficit hyperactivity disorder (ADHD). We conduct genetic and clinical research to identify both genetic and non-genetic risk factors that contribute to the predisposition of TS, ADHD, and OCD in patients and families. We hope to identify novel targets for treatment, to understand the course of TS and related conditions at a patient-specific level, and to better predict treatment response.
Ihn Sik Seong, PhD
Geneticist, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
Seong laboratory is focused on understanding the fundamental mechanism of neurodegenerative diseases and neurodevelopmental disorders using precise genetic disease cells/mice models. Our research into the structural, biochemical, and functional properties of the full-length huntingtin protein continues to aim to understand Huntington’s disease (HD) at its root cause.
Susan A. Slaugenhaupt, PhD
Professor of Neurology (Genetics), Harvard Medical School
Investigator, Massachusetts General Hospital
My research focuses on two neurological disorders, familial dysautonomia (FD) and mucolipidosis type IV (MLIV), as well as the common cardiac disorder mitral valve prolapse (MVP). Our work is focused on gene discovery and therapeutic development, specifically targeting mRNA splicing.
Jordan W. Smoller, MD, ScD
MGH Trustees Endowed Chair in Psychiatric Neuroscience, Massachusetts General Hospital
MGH Trustees Endowed Chair in Psychiatric Neuroscience, Massachusetts General Hospital
Professor of Psychiatry, Harvard Medical School
The focus of Dr. Smoller’s research interests has been:
- Understanding the genetic and environmental determinants of psychiatric disorders across the lifespan.
- Integrating genomics and neuroscience to unravel how genes affect brain structure and function.
- Using “big data”, including electronic health records and genomics, to advance precision medicine.
Michael E. Talkowski, PhD
Associate Investigator, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
The Talkowski lab integrates molecular and computational genomics methods to study the genetic etiology of disorders affecting prenatal, neonatal, and early childhood development, as well as neurodevelopmental and psychiatric disorders. Our lab is also interested in variant-to-function studies to understand genomic perturbations to regulatory pathways in rare diseases and the applications of emerging technologies to clinical diagnostic screening.
Miriam Udler, MD, PhD
Assistant Professor, Harvard Medical School
Attending in Endocrinology, Massachusetts General Hospital
Director, MGH Diabetes Genetics Clinic
We focus on advancing precision diagnosis and management of metabolic diseases.
Vanessa C. Wheeler, PhD
Research Geneticist, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School
Repeat expansion diseases such as Huntington’s disease (HD) are characterized by the instability of their causative repeat mutations. The inherited repeat undergoes further somatic expansion that drives disease pathogenesis. Our lab uses patients and model systems to characterize and uncover the underlying modifiers and mechanisms of repeat instability in order to identify targets for disease-modifying therapies.
Wei Zhou, PhD
Assistant investigator, Massachusetts General Hospital
Our lab focuses on developing and applying statistical methods to uncover genetic risk factors for human diseases using large-scale biobanks as well as leveraging high-dimensional omics data to interpret the genetic association discoveries.
We are hiring! We are inviting applications for full-time CGM faculty with an Assistant or Associate Professor of Neurology appointment at Harvard Medical School (HMS), commensurate with accomplishments and experiences. See more and apply on our careers page >