Project Grant R43HG010596

This $200,000 Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) aims to develop novel transfer learning algorithms to improve the accuracy of polygenic scores (PGS) for predicting phenotypes and disease risk in ancestry groups underrepresented in genomics research. The grant recipient, a partnership between Henry Ford Health and Michigan State University Health Sciences, will focus on three key...

The National Human Genome Research Institute (NHGRI), under the Human Genome Research CFDA Program (93.172), awarded Galatea Bio Inc. a $399,156 Project Grant (R43HG013628) on September 19, 2024 with a completion date of August 31, 2025. The grant funding supports the development and application of machine learning-based approaches for estimating disease risk in diverse and admixed populations. Key objectives include: 1) evaluating the performance of existing polygenic risk score (PRS) models...

This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $246,776 to develop novel methods for creating and validating polygenic scores to predict medication response in African American populations with common chronic diseases. The award period runs from August 15, 2024 to July 31, 2026. The key objectives are to create ancestry-robust polygenic scores for African Americans that can predict...

This Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research federal grant program (CFDA 93.172), provides $110,161 to support research at The Johns Hopkins University aimed at enhancing the interpretability and applicability of polygenic scores through multi-omics integration and analysis of family-based studies. The key objectives are to: 1) Develop machine learning approaches to integrate genetic, multi-omics, and environmental data to...

The federal Project Grant award R21HG013567, funded by the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172), supports the development of a novel deep reinforcement learning framework for haplotype assembly. This $457,920 award to the Broad Institute, Inc. aims to leverage machine learning to accurately partition read fragments into haplotype sets, advancing the state-of-the-art in haplotype reconstruction from whole-genome sequencing data....

This $1,100,866 Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research program (CFDA 93.172), aims to develop new methods to predict disease risk among individuals harboring rare monogenic risk alleles. The research will leverage deep learning approaches to integrate electronic health record, metabolomics, and proteomics data to refine the accuracy of genetic diagnostics and increase the clinical usefulness of genetic information. The award...

This $138,428 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of computationally tractable structured hierarchical models to identify complex genetic associations hidden from current methods. The grantee, J. David Gladstone Institutes, will analyze genomic and clinical trait data using machine learning to build predictive models for individualized disease risk assessment and personalized...

This federal Project Grant award, provided by the National Institute of Child Health and Human Development (NICHD) under the Child Health and Human Development Extramural Research program (CFDA 93.865), aims to improve the identification of genetic contributors to rare diseases, particularly neurodevelopmental disorders in children. The $1,802,392 award will fund the sequencing of 900 genomes, including 500 affected individuals and 200 of their parents, using Pacific Biosciences'...

This federal Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research program (CFDA 93.172), provides $1,033,069.24 to The Johns Hopkins University to develop novel statistical methods for data integration and analysis of genome-wide association studies (GWAS). The project aims to address challenges in incorporating diverse risk factors, including genetic markers, biomarkers, lifestyle factors, and sociodemographic indicators, from...

This federal Project Grant award, valued at $491,366 and awarded by the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172), aims to develop new algorithms for accurately mapping disease-associated genetic variants to critical target genes, especially in understudied non-European populations. The award will fund research across three key objectives: Enhancing gene-disease mapping techniques for genetic variants in diverse, understudied...