A framework enabling the genomic analysis of psychiatric traits across admixed populations.
A framework enabling the genomic analysis of psychiatric traits across admixed populations.
批准号:
10470343
负责人:
Elizabeth Grace Atkinson
金额:
$17.38万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-23 至 2023-09-10
关键词:
AddressAdmixtureAffectAfricaAfrican AmericanAmericanAmericasAnxiety DisordersAreaAttentionAwardAwarenessClinicalCollectionComplexComputer softwareDNADataData CollectionData SetDevelopmentDevelopment PlansEducational process of instructingEducational workshopEnsureEnvironmentEthnic groupEuropeanFaceGeneral HospitalsGeneticGenetic RiskGenomeGenomicsGenotypeGoalsHaplotypesIndividualInstitutesJordanLatino PopulationLeadershipLinkage DisequilibriumMapsMassachusettsMedicalMedical GeneticsMental HealthMental disordersMentored Research Scientist Development AwardMentorsMentorshipMethodologyMethodsMinorityMinority GroupsMissionNational Institute of Mental HealthNative American AncestryNative AmericansNatureOutputPatternPersonsPhenotypePlaguePopulationPopulation HeterogeneityPositioning AttributePost-Traumatic Stress DisordersPricePublic Health SchoolsRaceResearchResearch PersonnelResearch TrainingResourcesSamplingScientistServicesSignal TransductionSiteSocietiesStatistical MethodsTestingTimeTrainingWorkanalytical toolbasebiobankcareercohortdesigndisabilitydisparity reductionexperiencegenetic architecturegenome wide association studyhealth disparityimprovedlarge scale datamethod developmentneuropsychiatric disordernovelpopulation stratificationpsychiatric genomicspsychogeneticssimulationskillsstatisticssymposiumtooltool developmenttraittranslational geneticsyears lived with disability
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Globally, neuropsychiatric disorders are the leading cause of disability. Despite recent advances in mental health
genetics in Eurasian groups, major limitations remain in the understanding of psychiatric disorders in minority
populations, in particular “admixed” groups of mixed ancestry. Due to the paucity of methodological approaches that
account for their additional genomic complexity, admixed populations are systematically excluded from psychiatric
genomic studies. Admixed populations, including African American and Latino individuals, make up more than a third
of the US populace and have higher rates of some anxiety disorders including PTSD, yet these groups face severe
disparities in mental health research and treatment due to being so sorely underrepresented in psychiatric genomics.
To reap full and equitable benefits from efforts including All of Us, NeuroGAP, and the PGC, there is a pressing unmet
need for the development of tools permitting the study of psychiatric traits in admixed peoples.
The candidate proposes to address this issue by developing a suite of statistical methods, software packages,
and analytical resources. Dr. Atkinson will: 1a) build a tool to allow for the integration of admixed individuals into
psychiatric GWAS; 1b) aggregate a significantly expanded Native American reference panel to improve genomic
inference in admixed American populations; 2a) characterize the genetic basis of traits relevant to psychiatric
disorders in diverse populations of the largest biobank dataset; 2b) leverage the linkage disequilibrium in admixed
individuals to improve fine-mapping; and 3) develop a statistical method that generates reliable genetic risk scores
for psychiatric traits in admixed subjects. These efforts fill a major gap in existing resources and will improve our
understanding of psychiatric diseases in diverse groups whom medical genomics has so far failed. These efforts are
in direct line with the strategic mission of the NIMH, highlighting the crucial and timely nature of the proposed project.
The proposed research and training plan were carefully designed to confer expertise in three domains: 1)
phenotypes and genetic architectures of psychiatric disorders, 2) statistical methods development, and 3)
professional development. These skills are fundamental to the candidate’s goal of becoming a leading investigator
who develops and applies statistical genomics to understand psychiatric disorders across diverse populations. In
addition to research training, Dr. Atkinson will take coursework, participate in regular seminars, attend workshops and
conferences, and gain mentorship and teaching experience locally and in Africa. All research will be conducted in the
Analytic and Translational Genetics Unit at Massachusetts General Hospital, the Broad Institute, and the Harvard TH
Chan School of Public Health with mentorship from renowned scientists Drs. Mark Daly and Karestan Koenen.
Additional guidance from leading experts Drs. Ben Neale, Alkes Price, and Jordan Smoller will ensure exceptional
guidance and support. Overall, the training environment is outstanding, the mentors and advisors are world-class,
the proposed studies address an urgent unmet need, and the additional skills gained in this award will poise Dr.
Atkinson to establish independent leadership in population, statistical, and psychiatric genomics.
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Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples.
混合样本祖先区域内跨祖先遗传相关性的估计。
DOI:
10.1038/s41588-023-01325-x
发表时间:
2023
期刊:
Nature genetics
影响因子:
30.8
作者:
[Atkinson,ElizabethG]
通讯作者:
Atkinson,ElizabethG
Reply to: On powerful GWAS in admixed populations.
回复:关于混合人群中强大的 GWAS。
DOI:
10.1038/s41588-021-00975-z
发表时间:
2021
期刊:
Nature genetics
影响因子:
30.8
作者:
[Atkinson,ElizabethG, Bloemendal,Alex, Maihofer,AdamX, Nievergelt,CarolineM, Daly,MarkJ, Neale,BenjaminM]
通讯作者:
Neale,BenjaminM
DOI:
10.1146/annurev-biodatasci-020722-014310
发表时间:
2023
期刊:
Annual review of biomedical data science
影响因子:
--
作者:
[Tan,Taotao, Atkinson,ElizabethG]
通讯作者:
Atkinson,ElizabethG
Machine Learning and Health Care: Potential Benefits and Issues.
机器学习和医疗保健:潜在的好处和问题。
DOI:
10.1097/jac.0000000000000453
发表时间:
2023
期刊:
The Journal of ambulatory care management
影响因子:
--
作者:
[Atkinson,JGraham, Atkinson,ElizabethG]
通讯作者:
Atkinson,ElizabethG
Empowering gene discovery and accelerating clinical translation for diverse admixed populations
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批准号:10584936
-
项目类别:
-
资助金额:$78.2万
-
财政年份:2023
-
负责人:Elizabeth Grace Atkinson
-
依托单位:
A framework enabling the genomic analysis of psychiatric traits across admixed populations.
-
批准号:10405367
-
项目类别:
-
资助金额:$17.44万
-
财政年份:2019
-
负责人:Elizabeth Grace Atkinson
-
依托单位:
A framework enabling the genomic analysis of psychiatric traits across admixed populations.
-
批准号:10022335
-
项目类别:
-
资助金额:$18.52万
-
财政年份:2019
-
负责人:Elizabeth Grace Atkinson
-
依托单位:
海外基金