Variants to Diagnosis & Treatment

Variants to Diagnosis & Treatment2024-07-02T14:10:04-04:00

Use of understanding gained in the genomic medicine cycle to refine treatment, diagnosis, or promote new therapeutics for rare or common human disease.

News | Variants to Diagnosis & Treatment

Oxygen restriction’s effects on lifespan

Oxygen restriction has been linked to longer lifespan in some organisms, but its effects on aging in mammals have been unclear. A team led by CGM faculty member, Vamsi Mootha, and Robert Rogers explored the effects of oxygen restriction on mammalian lifespan using a mouse model of accelerated aging. The researchers discovered that the mice living in an oxygen-restricted environment lived about 50 percent longer compared to those exposed to standard levels of oxygen, with delayed onset of aging-associated neurological deficits.

Read more in news releases from PLOS and Harvard Medical School, and coverage in The Daily Beast and Medical News Today.

March 21, 2023

Publication

CGM Primary Investigator

March 21, 2023|

Development of an oral treatment that rescues gait ataxia and retinal degeneration in a phenotypic mouse model of familial dysautonomia.

Familial dysautonomia (FD) is a rare neurodegenerative disease caused by a mutation in the gene encoding for the Elongator complex protein 1 (ELP1). This mutation leads to a reduction of ELP1 protein, mainly in the nervous system. Due to the crucial function of ELP1 in neuronal development and survival, FD patients exhibit many neurological symptoms, including retinal degeneration and inability to coordinate movements. In our recently published study, the Slaugenhaupt and Morini lab describes the optimization of an oral treatment for FD that restores the expression of functional ELP1 protein in every tissue, including brain, and rescues retinal degeneration and motor coordination in a mouse model of FD.

March 20, 2023

Publication

CGM Primary Investigators

Sue Slaugenhaupt

Elisabetta Morini

March 20, 2023|

Clonal haematopoiesis and risk of chronic liver disease.

Through advances in population-based genomic sequencing an analysis, the Natarajan lab and others showed that ‘clonal hematopoiesis of indeterminate potential’ (CHIP) is a surprisingly common feature as we age. They also showed that CHIP plays a role in coronary artery disease, the leading contributor to death in the US and now globally. As inflammation appeared to be a principal driver, the Natarajan lab has since then attempted to understand whether CHIP plays a role in other conditions where inflammation has been invoked as a key driver. This study focused on chronic liver disease because, which has become increasingly common with the rising prevalence of obesity and metabolic syndrome. However, therapeutic options for chronic liver disease have remained limited for decades except for hepatitis C. Fatty liver disease is increasingly recognized but the reasons by inflammation and downstream liver disease occur remain limited. They therefore hypothesized that CHIP could play a role. It was found that CHIP offered to confer a relatively large risk for chronic liver disease, sometimes larger than currently recognized risk factors. And causal inference approaches, such as Mendelian randomization, supported a potential causal relationship. Liver MRIs and liver biopsies were consistent with greater steatohepatitis and not greater steatosis. Murine models similarly showed greater steatohepatitis without greater steatosis, and also greater fibrosis when followed for longer periods of time. Genetic deficiency of the NLRP3 inflammasome appeared to ameliorate this phenotype in the mice. This inflammatory pathway has also been invoked in CHIP-associated coronary artery disease. The relationship between CHIP and liver disease was previously unknown. These observations highlight a new potential precision medicine paradigm for chronic liver disease prevention. The findings support the scientific premise that, particularly for TET2 CHIP, inhibition of the NLRP3 inflammasome may reduce the risk of chronic liver disease.

Read more in Nature.

Read more in Nature.

March 18, 2023

Publication

CGM Primary Investigator

March 18, 2023|

Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms

In a study, led by CGM PI, Miriam Udler, and her colleagues they implemented an automated clinical algorithm and a type 1 diabetes polygenic score to identify individuals with type 1 diabetes in two large biobanks: MGB Biobank and BioMe (Mt. Sinai). They assessed the accuracy of the clinical algorithm compared to a gold standard of clinician diagnosis on chart review. The authors found that the clinical algorithm more accurately predicted type 1 diabetes status for self-reported White individuals, compared to other race/ethnicity groups. However, after updating the clinical algorithm to incorporate type 1 diabetes polygenic scores, the accuracy improved for all individuals, and the racial/ethnic disparity was reduced. These results demonstrate the potential for polygenic scores to aid in clinical phenotyping and to help reduce health disparities.

Read more in Diabetes Care and a podcast here.

February 17, 2023

Publication

CGM Primary Investigator

Miriam Udler
February 17, 2023|

Distinct patterns of emotional and behavioral change in child psychiatry outpatients during the COVID-19 pandemic

This was the first publication on pandemic-related mental health changes in child psychiatric outpatients in the United States. Empirically-derived multivariate models showed that child psychiatric outpatients had highly variable emotional and behavioral reactions to the pandemic, with some showing stability, others even showing improvement, and two groups manifesting distinctive patterns of worsening symptoms predicted by their prior psychopathology. Results have implications for clinical care as well as ongoing research on genetic contributions to youth mental health.

December 14, 2022

Publication

CGM Primary Investigator

December 14, 2022|

Improving polygenic prediction in ancestrally diverse populations

Polygenic risk scores (PRS) have attenuated cross-population predictive performance, which reduces their clinical value in non-European populations and exacerbates healthcare disparities. This study, conducted by CGM Investigators Tian Ge, Hailiang Huang, Alicia Martin and colleagues, developed a computational framework, termed PRS-CSx, that can integrate genomic data from multiple populations to improve polygenic prediction in diverse populations. Leveraging large-scale global biobanks and disease-focused cohorts, the investigators showed that PRS-CSx substantially improved the prediction accuracy of biomarkers and disease risk in non-European populations. This work represents an important step towards the implementation of PRS into routine healthcare.

Read more in Nature Genetics

December 13, 2022

Publication Name

CGM Primary Investigators

December 13, 2022|

Faculty | Variants to Diagnosis & Treatment

Phil H. Lee, PhD

Categories: Training Program Faculty, Variants to Diagnosis, Variants to Disease & Traits, Variants to Function & Mechanism
Harvard Medical School: Associate Professor of Psychiatry
Massachusetts General Hospital: Associate Professor
Associate Professor, Massachusetts General Hospital
Associate 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.

Phil H. Lee, PhD

Associate Professor of Psychiatry, Harvard Medical School

Marcy E. MacDonald, PhD

Categories: Populations to Variants, Variants to Diagnosis, Variants to Disease & Traits, Variants to Function & Mechanism
Harvard Medical School: Professor of Neurology
Massachusetts General Hospital: Research (Non-Clinical) Staff
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.

Marcy E. MacDonald, PhD

Professor of Neurology, Harvard Medical School

Alicia Martin, PhD

Categories: Populations to Variants, Training Program Faculty, Variants to Diagnosis, Variants to Disease & Traits
Harvard Medical School: Assistant Professor of Medicine
Massachusetts General Hospital: Assistant Investigator
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.

Alicia Martin, PhD

Assistant Professor, Harvard Medical School

Heidi L. Rehm, PhD

Categories: Populations to Variants, Training Program Faculty, Variants to Diagnosis, Variants to Disease & Traits
Harvard Medical School: Professor of Pathology
Massachusetts General Hospital: Chief Genomics Officer
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.

Heidi L. Rehm, PhD

Professor of Pathology, Harvard Medical School

Jeremiah M. Scharf, MD, PhD

Categories: Populations to Variants, Training Program Faculty, Variants to Diagnosis, Variants to Disease & Traits, Variants to Function & Mechanism
Harvard Medical School: Assistant Professor of Neurology
Massachusetts General Hospital: Physician-Scientist
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.

Jeremiah M. Scharf, MD, PhD

Assistant Professor of Neurology, Harvard Medical School

Jordan W. Smoller, MD, ScD

Categories: Training Program Faculty, Variants to Diagnosis, Variants to Disease & Traits, Variants to Function & Mechanism
Harvard Medical School: Professor of Psychiatry
Massachusetts General Hospital: MGH Trustees Endowed Chair in Psychiatric Neuroscience
Massachusetts General Hospital: MGH Trustees Endowed Chair in Psychiatric Neuroscience
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.

Jordan W. Smoller, MD, ScD

Professor of Psychiatry, Harvard Medical School

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 >

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