U01MH125054
Cooperative Agreement
Overview
Grant Description
1/3 Genomics of Schizophrenia in the South African Xhosa - Project Description
The goal of this international collaborative project, in response to PAR-20-027, is to characterize the genetic architecture of schizophrenia in the Xhosa population of South Africa. The three participating sites have already successfully established the infrastructure necessary to undertake the aims of this proposal. The three sites are University of Washington, Seattle (Mary-Claire King, Jack McClellan, Tom Walsh, MPIS); Columbia University, New York (Ezra Susser, PI); and University of Cape Town, South Africa (Dan Stein, PI).
African populations harbor far more genetic variation than out-of-Africa populations, facilitating the discovery of associations between genotypes and phenotypes. Our initial study (Gulsuner et al., Science, 2020) was the first large-scale genetic study of schizophrenia in an ancestral African population. We discovered that Xhosa individuals with schizophrenia (cases) are enriched for rare damaging mutations in genes intolerant to such mutations. The effect was particularly strong for damaging mutations in genes involved in synaptic functioning. These results extend understanding of schizophrenia genetics, specifically supporting an oligogenic severe alleles model and a role for rare damaging mutations in genes critical to synaptic signaling and plasticity.
For this project, we propose to enroll an additional 1250 cases and 1250 age- and gender-matched controls, all Xhosa-speaking, bringing our total study population to 5425 participants. We will apply new genomic technology to identify previously undetectable classes of mutations likely to be implicated in schizophrenia. The genomic structure of Xhosa cases and controls will be characterized using whole genome sequencing (WGS), both short-read Illumina WGS to identify conventional classes of mutations and (in a subset of participants with existing cell lines) long-read PacBio WGS to identify structural variants of all types, mobile transposable elements, and repeat expansions. In addition, SAX V2, the African-variation-enriched SNP array developed for this project by Affymetrix, will be used to identify copy number variants (CNVs).
Africa is the single most informative continent for understanding the human genome and human disorders with worldwide impact. African populations provide the most complete human reference genomes for screening candidate risk alleles for any phenotype. The whole-genome sequencing strategies used in this project allow the comparison of all classes of damaging mutations between cases and controls, including the detection of case-specific copy number variation and repeat expansions, while also providing a resource for human genomics research worldwide.
The goal of this international collaborative project, in response to PAR-20-027, is to characterize the genetic architecture of schizophrenia in the Xhosa population of South Africa. The three participating sites have already successfully established the infrastructure necessary to undertake the aims of this proposal. The three sites are University of Washington, Seattle (Mary-Claire King, Jack McClellan, Tom Walsh, MPIS); Columbia University, New York (Ezra Susser, PI); and University of Cape Town, South Africa (Dan Stein, PI).
African populations harbor far more genetic variation than out-of-Africa populations, facilitating the discovery of associations between genotypes and phenotypes. Our initial study (Gulsuner et al., Science, 2020) was the first large-scale genetic study of schizophrenia in an ancestral African population. We discovered that Xhosa individuals with schizophrenia (cases) are enriched for rare damaging mutations in genes intolerant to such mutations. The effect was particularly strong for damaging mutations in genes involved in synaptic functioning. These results extend understanding of schizophrenia genetics, specifically supporting an oligogenic severe alleles model and a role for rare damaging mutations in genes critical to synaptic signaling and plasticity.
For this project, we propose to enroll an additional 1250 cases and 1250 age- and gender-matched controls, all Xhosa-speaking, bringing our total study population to 5425 participants. We will apply new genomic technology to identify previously undetectable classes of mutations likely to be implicated in schizophrenia. The genomic structure of Xhosa cases and controls will be characterized using whole genome sequencing (WGS), both short-read Illumina WGS to identify conventional classes of mutations and (in a subset of participants with existing cell lines) long-read PacBio WGS to identify structural variants of all types, mobile transposable elements, and repeat expansions. In addition, SAX V2, the African-variation-enriched SNP array developed for this project by Affymetrix, will be used to identify copy number variants (CNVs).
Africa is the single most informative continent for understanding the human genome and human disorders with worldwide impact. African populations provide the most complete human reference genomes for screening candidate risk alleles for any phenotype. The whole-genome sequencing strategies used in this project allow the comparison of all classes of damaging mutations between cases and controls, including the detection of case-specific copy number variation and repeat expansions, while also providing a resource for human genomics research worldwide.
Awardee
Funding Goals
THE MISSION OF THE NATIONAL INSTITUTE OF MENTAL HEALTH (NIMH) IS TO TRANSFORM THE UNDERSTANDING AND TREATMENT OF MENTAL ILLNESSES THROUGH BASIC AND CLINICAL RESEARCH, PAVING THE WAY FOR PREVENTION, RECOVERY, AND CURE. IN MAY 2020, NIMH RELEASED ITS NEW STRATEGIC PLAN FOR RESEARCH. THE NEW STRATEGIC PLAN BUILDS ON THE SUCCESSES OF PREVIOUS NIMH STRATEGIC PLANS BY PROVIDING A FRAMEWORK FOR SCIENTIFIC RESEARCH AND EXPLORATION, AND ADDRESSING NEW CHALLENGES IN MENTAL HEALTH. THE NEW STRATEGIC PLAN OUTLINES FOUR HIGH-LEVEL GOALS: GOAL 1: DEFINE THE BRAIN MECHANISMS UNDERLYING COMPLEX BEHAVIORS GOAL 2: EXAMINE MENTAL ILLNESS TRAJECTORIES ACROSS THE LIFESPAN GOAL 3: STRIVE FOR PREVENTION AND CURES GOAL 4: STRENGTHEN THE PUBLIC HEALTH IMPACT OF NIMH-SUPPORTED RESEARCH THESE FOUR GOALS FORM A BROAD ROADMAP FOR THE INSTITUTE'S RESEARCH PRIORITIES OVER THE NEXT FIVE YEARS, BEGINNING WITH THE FUNDAMENTAL SCIENCE OF THE BRAIN AND BEHAVIOR, AND EXTENDING THROUGH EVIDENCE-BASED SERVICES THAT IMPROVE PUBLIC HEALTH OUTCOMES. THE INSTITUTE'S OVERALL FUNDING STRATEGY IS TO SUPPORT A BROAD SPECTRUM OF INVESTIGATOR-INITIATED RESEARCH IN FUNDAMENTAL SCIENCE, WITH INCREASING USE OF INSTITUTE-SOLICITED INITIATIVES FOR APPLIED RESEARCH WHERE PUBLIC HEALTH IMPACT IS A SHORT-TERM MEASURE OF SUCCESS. THE NEW STRATEGIC PLAN ALSO ADDRESSES A NUMBER OF CROSS-CUTTING THEMES THAT ARE RELEVANT TO ALL RESEARCH SUPPORTED BY NIMH, THESE THEMES HIGHLIGHT AREAS WHERE NIMH-FUNDED SCIENCE MAY HAVE THE GREATEST IMPACT, BRIDGE GAPS, AND OFFER NOVEL APPROACHES TO ACCELERATE ADVANCES IN MENTAL HEALTH RESEARCH. FOR EXAMPLE, NIMH VALUES A COMPREHENSIVE RESEARCH AGENDA THAT TAKES AN INCLUSIVE APPROACH THAT ENSURES RESEARCH INTERESTS ARE VARIED, MAINTAIN DIVERSE PARTICIPATION AND PARTNERSHIPS, AND ACHIEVE RESEARCH GOALS ACROSS MULTIPLE TIMEFRAMES. THIS INCLUDES DIVERSE METHODOLOGIES, TOOLS, AND MODELS, RESEARCH ADDRESSING COMPLEX BASIC, TRANSLATIONAL, AND APPLIED QUESTIONS, RESEARCH INCLUDING BOTH SEXES AND, AS APPROPRIATE, GENETIC BACKGROUND, AND, PARTICIPANTS FROM DIVERSE RACIAL AND ETHNIC BACKGROUNDS, AND ACROSS GENDER IDENTITIES, GEOGRAPHICAL CONTEXT, SOCIOECONOMIC STATUS, NEUROTYPE, AND AGE OFFERING THE BEST POSSIBLE REPRESENTATION, FOR THE BROADEST NUMBER OF INDIVIDUALS WHO MAY ULTIMATELY BENEFIT FROM THESE SCIENTIFIC ADVANCES. TO ACCOMPLISH THE GOALS OUTLINED IN THE NEW STRATEGIC PLAN, NIMH WILL SUPPORT RESEARCH THAT AIMS: TO CHARACTERIZE THE GENOMIC, MOLECULAR, CELLULAR, AND CIRCUIT COMPONENTS CONTRIBUTING TO BRAIN ORGANIZATION AND FUNCTION, TO IDENTIFY THE DEVELOPMENTAL, FUNCTIONAL, AND REGULATORY MECHANISMS RELEVANT TO COGNITIVE, AFFECTIVE, AND SOCIAL DOMAINS, ACROSS UNITS OF ANALYSIS, AND, TO GENERATE AND VALIDATE NOVEL TOOLS, TECHNIQUES, AND MEASURES TO QUANTIFY CHANGES IN THE ACTIVITY OF MOLECULES, CELLS, CIRCUITS, AND CONNECTOMES. TO DISCOVER GENE VARIANTS AND OTHER GENOMIC ELEMENTS THAT CONTRIBUTE TO THE DEVELOPMENT OF MENTAL ILLNESSES IN DIVERSE POPULATIONS, TO ADVANCE OUR UNDERSTANDING OF THE COMPLEX ETIOLOGY OF MENTAL ILLNESSES USING MOLECULAR EPIDEMIOLOGIC APPROACHES THAT INCORPORATE INDIVIDUAL GENETIC INFORMATION IN LARGE COHORTS, TO ELUCIDATE HOW HUMAN GENETIC VARIATION AFFECTS THE COORDINATION OF MOLECULAR, CELLULAR, AND PHYSIOLOGICAL NETWORKS SUPPORTING HIGHER-ORDER FUNCTIONS AND EMERGENT PROPERTIES OF NEUROBIOLOGICAL SYSTEMS, AND, TO DEVELOP NOVEL TOOLS AND TECHNIQUES FOR THE ANALYSIS OF LARGE-SCALE GENETIC, MULTI-OMIC DATA AS IT APPLIES TO MENTAL HEALTH. TO UTILIZE CONNECTOMIC APPROACHES TO IDENTIFY BRAIN NETWORKS AND CIRCUIT COMPONENTS THAT CONTRIBUTE TO VARIOUS ASPECTS OF MENTAL FUNCTION AND DYSFUNCTION, TO DETERMINE THROUGH BRAIN-WIDE ANALYSIS HOW CHANGES IN THE PHYSIOLOGICAL PROPERTIES OF MOLECULES, CELLS, AND CIRCUITS CONTRIBUTE TO MENTAL ILLNESSES, TO DEVELOP MOLECULAR, CELLULAR, AND CIRCUIT-LEVEL BIOMARKERS OF IMPAIRED NEURAL FUNCTION IN HUMANS, AND, TO DEVELOP INNOVATIVE TECHNOLOGIES, INCLUDING NEW IMAGING, COMPUTATIONAL, PHARMACOLOGICAL, AND GENETIC TOOLS TO INTERROGATE AND MODULATE CIRCUIT ACTIVITY AND STRUCTURE ALTERED IN MENTAL ILLNESSES. TO ELUCIDATE THE MECHANISMS CONTRIBUTING TO THE TRAJECTORIES OF BRAIN DEVELOPMENT AND BEHAVIOR, AND, TO CHARACTERIZE THE EMERGENCE AND PROGRESSION OF MENTAL ILLNESSES, AND IDENTIFYING SENSITIVE PERIODS FOR OPTIMAL INTERVENTION. TO DETERMINE EARLY RISK AND PROTECTIVE FACTORS, AND RELATED MECHANISMS, TO SERVE AS NOVEL INTERVENTION GROUPS, AND, TO DEVELOP RELIABLE AND ROBUST BIOMARKERS AND ASSESSMENT TOOLS TO PREDICT ILLNESS ONSET, COURSE, AND ACROSS DIVERSE POPULATIONS. TO DEVELOP NOVEL INTERVENTIONS USING A MECHANISM-INFORMED, EXPERIMENTAL THERAPEUTICS APPROACH, AND, TO DEVELOP AND IMPLEMENT MEASUREMENT STRATEGIES TO FACILITATE MECHANISM-BASED INTERVENTION DEVELOPMENT AND TESTING. TO INVESTIGATE PERSONALIZED INTERVENTION STRATEGIES ACROSS DISEASE PROGRESSION AND DEVELOPMENT, AND, TO DEVELOP AND REFINE COMPUTATIONAL APPROACHES AND RESEARCH DESIGNS THAT CAN BE USED TO INFORM AND TEST PERSONALIZED INTERVENTIONS. TO DEVELOP AND TEST APPROACHES FOR ADAPTING, COMBINING, AND SEQUENCING INTERVENTIONS TO ACHIEVE THE GREATEST IMPACT ON THE LIVES AND FUNCTIONING OF PERSONS SEEKING CARE, TO CONDUCT EFFICIENT PRAGMATIC TRIALS THAT EMPLOY NEW TOOLS TO RAPIDLY IDENTIFY, ENGAGE, ASSESS, AND FOLLOW PARTICIPANTS IN THE CONTEXT OF ROUTINE CARE, AND, TO ENHANCE THE PRACTICAL RELEVANCE OF EFFECTIVENESS RESEARCH VIA DEPLOYMENT-FOCUSED, HYBRID, EFFECTIVENESS-IMPLEMENTATION STUDIES. TO EMPLOY ASSESSMENT PLATFORMS WITHIN HEALTHCARE SYSTEMS TO ACCURATELY ASSESS THE DISTRIBUTION AND DETERMINANTS OF MENTAL ILLNESSES AND TO INFORM STRATEGIES FOR IMPROVED SERVICES, TO OPTIMIZE REAL-WORLD DATA COLLECTION SYSTEMS TO IDENTIFY STRATEGIES FOR IMPROVING ACCESS, QUALITY, EFFECTIVENESS, AND CONTINUITY OF MENTAL HEALTH SERVICES, AND, TO COMPARE ALTERNATIVE FINANCING MODELS TO PROMOTE EFFECTIVE AND EFFICIENT CARE FOR INDIVIDUALS WITH SERIOUS EMOTIONAL DISTURBANCES AND SERIOUS MENTAL ILLNESSES. TO STRENGTHEN PARTNERSHIPS WITH KEY STAKEHOLDERS TO DEVELOP AND VALIDATE STRATEGIES FOR IMPLEMENTING, SUSTAINING, AND CONTINUOUSLY IMPROVE EVIDENCE-BASED PRACTICES, TO BUILD MODELS TO SCALE-UP EVIDENCE-BASED PRACTICES FOR USE IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE AND OTHER SETTINGS, AND, TO DEVELOP DECISION-SUPPORT TOOLS AND TECHNOLOGIES THAT INCREASE THE EFFECTIVENESS AND CONTINUOUS IMPROVEMENT OF MENTAL HEALTH INTERVENTIONS IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE, AND OTHER SETTINGS. TO ADAPT, VALIDATE, AND SCALE-UP PROGRAMS CURRENTLY IN USE THAT IMPROVE MENTAL HEALTH SERVICES FOR UNDERSERVED POPULATIONS, TO DEVELOP AND VALIDATE SERVICE DELIVERY MODELS THAT PROVIDE EVIDENCE-BASED CARE FOR INDIVIDUALS THROUGHOUT THE COURSE OF MENTAL ILLNESS, TO DEVELOP AND VALIDATE SYSTEMS-LEVEL STRATEGIES USING TECHNOLOGY AND OTHER APPROACHES, TO IDENTIFY, SUPPORT, AND MONITOR THE EFFECTIVENESS OF EVIDENCE-BASED CARE THROUGHOUT THE COURSE OF ILLNESS, AND, TO DEVELOP AND VALIDATE DECISION-MAKING MODELS THAT BRIDGE MENTAL HEALTH, MEDICAL, AND OTHER CARE SETTINGS TO INTEGRATE THE APPROPRIATE CARE FOR PEOPLE WITH SERIOUS MENTAL ILLNESSES AND COMORBID MEDICAL CONDITIONS.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Washington
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 455% from $1,703,097 to $9,460,283.
University Of Washington was awarded
Genomics of Schizophrenia in Xhosa Population of South Africa
Cooperative Agreement U01MH125054
worth $9,460,283
from the National Institute of Mental Health in January 2020 with work to be completed primarily in Washington United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.242 Mental Health Research Grants.
The Cooperative Agreement was awarded through grant opportunity Genetic Architecture of Mental Disorders in Ancestrally Diverse Populations (Collaborative U01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 7/21/25
Period of Performance
1/1/21
Start Date
12/31/25
End Date
Funding Split
$9.5M
Federal Obligation
$0.0
Non-Federal Obligation
$9.5M
Total Obligated
Activity Timeline
Transaction History
Modifications to U01MH125054
Additional Detail
Award ID FAIN
U01MH125054
SAI Number
U01MH125054-3097314455
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75N700 NIH National Institute of Mental Health
Funding Office
75N700 NIH National Institute of Mental Health
Awardee UEI
HD1WMN6945W6
Awardee CAGE
1HEX5
Performance District
WA-90
Senators
Maria Cantwell
Patty Murray
Patty Murray
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Mental Health, National Institutes of Health, Health and Human Services (075-0892) | Health research and training | Grants, subsidies, and contributions (41.0) | $3,636,548 | 100% |
Modified: 7/21/25