Researchers have linked hundreds of genetic variants to coronary artery disease risk, but as with many conditions, probing the biological relationships between variants and risk remains challenging. Gavin Schnitzler, Helen Kang, Rajat Gupta, Jesse Engreitz and colleagues have developed and applied what they call a Variant-to-Gene-to-Program (V2G2P) approach which prioritizes the pathways shared by multiple risk loci. Using CRISPRi-Perturb-seq and machine learning, they found connections between CAD risk and 41 variants in endothelial cells, which line blood vessels. Several of these variants regulate endothelial cells' response to blood flow, and represent new CAD mechanisms. Learn more in Nature: https://lnkd.in/efcmYbNQ. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
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To better support research of underrepresented populations, Zan Koenig, Mary Yohannes, Alicia Martin, and colleagues produced a new easily accessible resource that includes a set of high-quality genomes of diverse ancestry. The team jointly called variants from more than 4,000 whole genomes from 80 populations in the Human Genome Diversity Project and 1000 Genomes Project using data from gnomAD, resulting in 153 million single-nucleotide variants, indels, and structural variants. They performed a detailed ancestry analysis of the data set, demonstrated its improvements over prior versions, and offered tutorials for users of the new resource. Read more in Genome Research. https://lnkd.in/dW5Qrpnw #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
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Women face greater risk from cardiovascular disease than men for reasons that aren’t fully understood, and existing polygenic scores to predict risk perform worse in women than in men. Kaavya Paruchuri, Pradeep Natarajan, and colleagues built a new polygenic score that incorporates alleles exhibiting differential effects on risk for women than men. Using data from the CARDIoGRAMplusC4D analysis, their score helped improve prediction among women younger than 55, with some sex-based disparities still present. The work underscores the ongoing need to bridge the performance gap in polygenic risk prediction for coronary artery disease. Read more in the Journal of the American Heart Association. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Using Sex‐Specific Polygenic Risk to Prognosticate Coronary Artery Disease in Women
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Researchers at Whitehead Institute and Broad have developed a gene-silencing tool, CHARM, that turns off the gene causing prion diseases and could pave the way for new gene therapies for these fatal conditions. In mice, the epigenetic editing technology eliminated more than 80% of the prion protein in the brain. Read more about the journey from research to potential therapy. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
A therapy candidate for fatal prion diseases turns off disease-causing gene
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The risk of coronary artery disease (CAD) can change over a person’s lifetime, and current methods of estimating CAD risk don’t incorporate new information over time. Sarah Urbut, Pradeep Natarajan, and colleagues have developed MSGene, a model that accounts for longitudinal data, clinical covariates, and CAD polygenic risk scores to estimate transitions between 10 cardiometabolic states. The team used MSGene to analyze longitudinal data from more than 480,000 UK Biobank participants and found that it improved risk predictions compared to other risk scores. The findings, in Nature Communications, highlight the potential public health value of more accurate lifetime CAD risk estimation. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease - Nature Communications
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Research over the last decade has found links between the gut microbiome and risk for type 2 diabetes, which affects half a billion people worldwide. In the largest and most diverse study yet of the microbiome and type 2 diabetes, a Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, and Broad team found that the presence of specific viruses and genetic variants within bacteria correspond with T2D risk. #Microbiome #T2D #Type2Diabetes #Type2DiabetesResearch #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Gut microbiome changes align with increased risk of type 2 diabetes
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Fewer than one percent of people who get the flu every year get tested in part because most tests require trained personnel and expensive equipment. Now researchers have developed a low-cost paper strip test that could allow more patients to find out which type of flu they have and get the right treatment. The test uses CRISPR to distinguish between the two main types of seasonal flu (influenza A and B) as well as seasonal flu subtypes and can identify strains that resist antiviral treatment. With further work, it could potentially detect swine and avian flu strains, including H5N1, currently infecting cattle. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch #CRISPR #CRISPRResearch
Simple test for flu could improve diagnosis and surveillance
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About half of cancer patients treated with chimeric antigen receptor (CAR) T cell therapy do not respond to treatment, or relapse after treatment because of tumor resistance to apoptosis or poor CAR T cell persistence. To address this, Felix Korell, Tony Letai, Marcela Maus, and colleagues developed CAR T cells that overexpressed different proteins from the Bcl-2 family, which are known to protect cells against apoptosis. They found that overexpressing the Bcl-xL protein improved CAR T cell persistence and function in mouse models of lymphoma and leukemia, suggesting strategies for improving CAR T cell therapies alone and in combination with other cancer therapeutics. Read more in Science Translational Medicine. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Comparative analysis of Bcl-2 family protein overexpression in CAR T cells alone and in combination with BH3 mimetics
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New research shows that an important part of CRISPR screens called CRISPR guides do not perform equally well in cells from people of all ancestries, which could cause experiments to miss potential new drug targets. “CRISPR is used ubiquitously in preclinical research, but only a minority of researchers are thinking carefully about the specific germline and ancestries that relate to their model systems,” said Jesse Boehm, a co-senior author on the study recently published in Nature Communications. “This is a warning call for the community that functional genomics is not immune to ancestry bias, and a source of opportunity to look more closely at this kind of data.” #BroadInstitute #Science #ScienceNews #Research #ScientificResearch #CRISPR #CRISPRNews
Some CRISPR screens may be missing cancer drug targets
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Clare Malone, Nathaniel Mabe PharmD, PhD, Alexandra Forman, Gabriela Alexe, Kim Stegmaier, and colleagues uncovered a protein complex that drives growth of the high-risk pediatric cancer neuroblastoma. Roughly a quarter of childhood neuroblastomas carry amplifications in the gene for the transcription factor MYCN, but targeting it directly is difficult. Through DepMap functional screens, the researchers found that the KAT module of the SAGA protein complex regulates both expression of the MYCN program and tumor growth. Impairing the acetyltransferase activity of the SAGA complex diminished neuroblastoma cell growth, suggesting a new therapeutic approach. Read more in Science Advances. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
The KAT module of the SAGA complex maintains the oncogenic gene expression program in MYCN-amplified neuroblastoma
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Researchers have linked various pathogenic cell states to inflamed synovial tissue in rheumatoid arthritis (RA). To understand the epigenetic regulation of these states, Kathryn Weinand, Soumya Raychaudhuri, and colleagues studied open chromatin in single cells in 30 synovial tissue samples, with 12 samples having multimodal transcriptional data. They found 24 chromatin classes and predicted associated transcription factors. In Nature Communications, they proposed that these classes are ‘superstates’ that encompass multiple cell states and identified classes that may mediate the effects of putative causal variants in RA. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis - Nature Communications
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Physician, Scientist, Medical Educator, and Entrepreneur (LightLab Imaging) with more than 25 years at Harvard and MIT.
4moIn 2019 in Circulation we published plaque vulnerability was secondary to failed angiogenesis to intimal regions and loss of cellularity in these regions. Endothelial cell genes may be important in this angiogenesis, but also endothelial cells along with smooth muscle cells (-ACTA) enter clots which leads to healing rather than clot expansion.