R01HG011035
Project Grant
Overview
Grant Description
Methods to Unveil Sex-Specific Genetic Architecture in Trans-Ancestry Meta-Analysis - Abstract
Large-scale genetic datasets have revolutionized human genetic research. In the past decade, genome-wide association studies have identified numerous genetic variants associated with various complex traits. These discoveries have informed new biology and led to novel therapeutics. Yet, most studies focused on European samples, and most of the studies were conducted by pooling both sexes together. Sex-specific genetic architecture in diverse populations remains largely elusive.
As the next step, consortia efforts have begun to aggregate datasets from diverse non-European populations. Meta-analysis is often employed in large consortium studies. There is a compelling need to develop methods that can effectively conduct trans-ancestry meta-analysis. To this end, we will develop a series of innovative methods to improve the power for association mapping, the precision of fine mapping, and the accuracy of polygenic predictions in trans-ancestry analysis.
Resulting methods will be applied to a series of heart, lung, and blood-related traits, in collaboration with a number of consortia studies. This is a continuation of our strong track record of method development in statistical genetics. We will implement the methods into a few widely used tools, including RVTESTS, SEQMINER, and RAREMETAL, which will not only benefit our own study but also other researchers in the field.
Large-scale genetic datasets have revolutionized human genetic research. In the past decade, genome-wide association studies have identified numerous genetic variants associated with various complex traits. These discoveries have informed new biology and led to novel therapeutics. Yet, most studies focused on European samples, and most of the studies were conducted by pooling both sexes together. Sex-specific genetic architecture in diverse populations remains largely elusive.
As the next step, consortia efforts have begun to aggregate datasets from diverse non-European populations. Meta-analysis is often employed in large consortium studies. There is a compelling need to develop methods that can effectively conduct trans-ancestry meta-analysis. To this end, we will develop a series of innovative methods to improve the power for association mapping, the precision of fine mapping, and the accuracy of polygenic predictions in trans-ancestry analysis.
Resulting methods will be applied to a series of heart, lung, and blood-related traits, in collaboration with a number of consortia studies. This is a continuation of our strong track record of method development in statistical genetics. We will implement the methods into a few widely used tools, including RVTESTS, SEQMINER, and RAREMETAL, which will not only benefit our own study but also other researchers in the field.
Awardee
Funding Goals
NHGRI SUPPORTS THE DEVELOPMENT OF RESOURCES AND TECHNOLOGIES THAT WILL ACCELERATE GENOME RESEARCH AND ITS APPLICATION TO HUMAN HEALTH AND GENOMIC MEDICINE. A CRITICAL PART OF THE NHGRI MISSION CONTINUES TO BE THE STUDY OF THE ETHICAL, LEGAL AND SOCIAL IMPLICATIONS (ELSI) OF GENOME RESEARCH. NHGRI ALSO SUPPORTS THE TRAINING AND CAREER DEVELOPMENT OF INVESTIGATORS AND THE DISSEMINATION OF GENOME INFORMATION TO THE PUBLIC AND TO HEALTH PROFESSIONALS. THE SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM IS USED TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. THE SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM IS USED TO FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Hershey,
Pennsylvania
170332360
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 287% from $797,356 to $3,089,696.
Pennsylvania State University was awarded
Enhancing Trans-Ancestry Meta-Analysis Sex-Specific Genetic Architecture
Project Grant R01HG011035
worth $3,089,696
from National Human Genome Research Institute in August 2022 with work to be completed primarily in Hershey Pennsylvania United States.
The grant
has a duration of 4 years 9 months and
was awarded through assistance program 93.172 Human Genome Research.
The Project Grant was awarded through grant opportunity Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 8/20/25
Period of Performance
8/10/22
Start Date
5/31/27
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01HG011035
Additional Detail
Award ID FAIN
R01HG011035
SAI Number
R01HG011035-2248662266
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Other
Awarding Office
75N400 NIH National Human Genome Research Institute
Funding Office
75N400 NIH National Human Genome Research Institute
Awardee UEI
TNKGNDAWB445
Awardee CAGE
7W765
Performance District
PA-10
Senators
Robert Casey
John Fetterman
John Fetterman
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Human Genome Research Institute, National Institutes of Health, Health and Human Services (075-0891) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,592,628 | 100% |
Modified: 8/20/25