Project Grant R01CA313942
- This Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) provides $196,296 to the University of Chicago to conduct research on the relationship between genetic relatedness and phenotypic covariance. The key objectives are to: 1) Understand how methodological details in computing genetic relatedness matrices may bias heritability estimates at different levels of relatedness, and 2) Develop quantitative genetic models that consider the...
- This Project Grant award of $666,831 was provided by the National Human Genome Research Institute (NHGRI) under the Human Genome Research federal grant program (CFDA 93.172). The grant supports the development of new Bayesian techniques to estimate the magnitude and direction of gene effects on traits using rare protein-coding variants, including loss-of-function mutations, deletions, and duplications. The goal is to improve the assessment of gene importance for understanding the molecular basis...
- The National Institute of General Medical Sciences (NIGMS) awarded a 5-year, $616,786 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to The Regents of the University of California, San Francisco (UCSF) to conduct research aimed at uncovering how evolutionary forces shape patterns of genetic variation and drive phenotypic variation across human populations. The research focuses on three key areas: 1) exploring the effects of recessive deleterious alleles...
- The University of California, Los Angeles (UCLA) received a $433,125 Project Grant award under the Biomedical Research and Research Training program (CFDA 93.859) from the National Institute of General Medical Sciences (NIGMS). The goal of this five-year project is to thoroughly and mechanistically characterize the effects of genomic variation on genome function and phenotypes. The project will adopt a multidisciplinary approach that integrates cutting-edge technologies, including...
- This federal Project Grant award, valued at $395,200.00 and provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), supports research by the University of Southern California (USC) to develop novel computational methods for inferring complex demographic histories and detecting deleterious genetic variation across global human populations. The key products and services to be delivered under this 5-year...
- This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $413,300.00 to the University of Southern California (USC) to conduct research in three critical areas of human genetics. The funded research will: Model recessive selection on complex traits by leveraging X chromosome data to better understand the strength of selection across different traits and diseases. Explore...
- This federal Project Grant award of $423,750.00 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The grant, awarded on May 1, 2025, supports a research project at New York University (NYU) School of Medicine to develop new conceptual and statistical approaches that integrate molecular, cellular, and population genetics to better understand the genetic basis of complex human traits and diseases....
- 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 of $267,098 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) to the University of California, Los Angeles (UCLA) on August 1, 2025. The project, titled "Learning Gene Regulatory Networks under Latent Confounding and Data Dependence," aims to develop statistical methods to infer the structure of gene regulatory networks (GRNs) and identify direct causes of...
- This federal Project Grant award, provided by the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research), supports the development of innovative computational and statistical methods for conducting genome-wide association studies (GWAS) on time-to-event (TTE) phenotypes in large biobanks and cohorts. The $3,287,168 award, granted on September 17, 2025, aims to overcome current limitations in GWAS of TTE phenotypes by developing scalable methods for rare variant...
This $780,113 Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) aims to develop methods for quantifying and correcting biases in the genetic study of complex traits. Specifically, the research will: Create a comprehensive simulation framework to model realistic intergenerational dynamics and understand genetic transmission across generations. This will help correct biases in current methodologies used to study genetic architecture. Develop a theoretical framework to understand the joint impact of indirect genetic effects and assortative mating on trait genetic architectures. The project will be conducted by the University of California, Los Angeles (UCLA) from September 1, 2025 through August 31, 2029. The research seeks to provide a more accurate understanding of the genetic underpinnings of complex traits by accounting for often-overlooked factors like gene-environment correlation and population structure.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 9/2/25 | ||
| Not listed | $780.1k | 8/29/25 |