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      4. Merkin Institute for Transformative Technologies in Healthcare The Merkin Institute is supporting early-stage ideas aimed at advancing powerful technological approaches for improving how we understand and treat disease.
      5. Novo Nordisk Foundation Center for Genomic Mechanisms of Disease This center is developing new paradigms and technologies to scale the discovery of biological mechanisms of common, complex diseases, by facilitating close collaborations between the Ó³»­´«Ã½ and the Danish research community.
      6. Eric and Wendy Schmidt Center The EWSC is catalyzing a new field of interdisciplinary research at the intersection of data science and life science, aimed at improving human health.
      7. Stanley Center for Psychiatric Research The Stanley Center aims to reduce the burden of serious mental illness by contributing new insights into pathogenesis, identifying biomarkers, and paving the way toward new treatments.
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      1. Art and science connection Explore the connection between art and science and how we bring together artists and Ó³»­´«Ã½ scientists through our artist-in-residence program, gallery exhibitions, and ongoing public conversations.
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novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data.
Mohanty AK, Vuzman D, Francioli L, et al. novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data. Bioinformatics. 2019;35(7):1174-1180. doi:10.1093/bioinformatics/bty749
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Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.
Went M, Sud A, Försti A, et al. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun. 2018;9(1):3707. doi:10.1038/s41467-018-04989-w
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Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders.
Nguyen HT, Bryois J, Kim A, et al. Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders. Genome Med. 2017;9(1):114. doi:10.1186/s13073-017-0497-y
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A Bayesian Framework for Generalized Linear Mixed Modeling Identifies New Candidate Loci for Late-Onset Alzheimer's Disease.
Wang X, Philip VM, Ananda G, et al. A Bayesian Framework for Generalized Linear Mixed Modeling Identifies New Candidate Loci for Late-Onset Alzheimer’s Disease. Genetics. 2018;209(1):51-64. doi:10.1534/genetics.117.300673
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Genetic effects influencing risk for major depressive disorder in China and Europe.
Bigdeli TB, Ripke S, Peterson RE, et al. Genetic effects influencing risk for major depressive disorder in China and Europe. Transl Psychiatry. 2017;7(3):e1074. doi:10.1038/tp.2016.292
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Estimating the selective effects of heterozygous protein-truncating variants from human exome data.
Cassa CA, Weghorn D, Balick DJ, et al. Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nat Genet. 2017;49(5):806-810. doi:10.1038/ng.3831
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The impact of rare variation on gene expression across tissues.
Li X, Kim Y, Tsang EK, et al. The impact of rare variation on gene expression across tissues. Nature. 2017;550(7675):239-243. doi:10.1038/nature24267
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Integrative analysis of multiple genomic variables using a hierarchical Bayesian model.
Schäfer M, Klein HU, Schwender H. Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. Bioinformatics. 2017;33(20):3220-3227. doi:10.1093/bioinformatics/btx356
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Genotype-covariate interaction effects and the heritability of adult body mass index.
Robinson MR, English G, Moser G, et al. Genotype-covariate interaction effects and the heritability of adult body mass index. Nat Genet. 2017;49(8):1174-1181. doi:10.1038/ng.3912
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Adaptive combination of Bayes factors as a powerful method for the joint analysis of rare and common variants.
Lin WY, Chen WJ, Liu CM, et al. Adaptive combination of Bayes factors as a powerful method for the joint analysis of rare and common variants. Sci Rep. 2017;7(1):13858. doi:10.1038/s41598-017-13177-7
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In March of 2020, Ó³»­´«Ã½ converted a clinical genetics processing lab into a large-scale COVID-19 testing facility in less than two weeks.

We've screened more than 1,275 cancer cell lines as part of the Cancer Dependency Map (DepMap).

Ó³»­´«Ã½ Genomics Platform sequences a whole human genome every four minutes.

More than 11,000 individuals living with cancer in the United States and Canada have partnered with Count Me In to share their experiences and help accelerate cancer research.

The Drug Repurposing Hub is one of the most comprehensive and up-to-date biologically annotated collections of FDA-approved compounds in the world. Researchers anywhere can explore more than 6,000 drugs in the hub and search for possible new uses for them to jump-start new drug discovery.

In 2021, our sustainability efforts sent more than 80 percent of waste from the Genomics Platform to either a recycling facility or to an incineration plant that generates electricity.

Through Ó³»­´«Ã½'s Scientists in the Classroom program, Ó³»­´«Ã½ researchers visit every 8th grade classroom in Cambridge each year to talk about genetics and evolution.

Every summer, 18 high school students spend six weeks at Ó³»­´«Ã½ working side-by-side with mentors on cutting-edge research.

In November 2022, Ó³»­´«Ã½â€™s Genomics Platform sequenced its 500,000th whole human genome, a mere four years after sequencing its 100,000th.

By the end of 2022, Ó³»­´«Ã½â€™s COVID-19 testing lab had processed more than 37 million tests.

Working with Addgene, Ó³»­´«Ã½ has shared CRISPR genome-editing reagents with researchers at more than 3,200 institutions in 76 countries.

The NeuroGAP-Psychosis project, a collaboration between the Stanley Center for Psychiatric Research and Harvard T.H. Chan School of Public Health to study the genetics of severe mental illness, has recruited more than 42,000 participants in Ethiopia, Kenya, Uganda, and South Africa.

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