자료유형  

 학위논문

Control Number  

0016933749

International Standard Book Number  

9798380261241

Dewey Decimal Classification Number  

510

Main Entry-Personal Name  

Cenname, Alexis.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Pittsburgh., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(30 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: A.

General Note  

Advisor: Carlson, Jenna.

Dissertation Note  

Thesis (M.Sc.)--University of Pittsburgh, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Objective: To investigate the association between common single nucleotide polymorphisms (SNPs) in the vesicular monoamine transporter type 2 (VMAT2) gene and a diagnosis of schizophrenia in the US population.Methods:968 individuals with a diagnosis of schizophrenia were ancestry-matched to healthy controls to create a final cohort of 1,936 individuals. Diagnosis criteria was determined from Electronic Health Records provided by the AllofUs Research Program. Additive and dominant logistic regression analyses were done for the promoter SNPs rs363324 and rs363371. Additional stratified analyses were performed using sex and ancestry variables.Results: No significant results were observed for rs363324 and rs363371 using the additive model. The dominant model suggested a protective effect for rs363324 for the entire cohort (p = 0.007; OR = 0.75[0.61, 0.92]) and within the African ancestral group (p = 0.028; OR= 0.76[0.56, 0.97]). Stratification by sex did not give significant results for either genotype model, nor did stratification by ancestry+sex.Conclusion:Premature mortality rates and the need for targeted treatments in schizophrenia make it an important disease to study for public health. This study found that 'GA' and 'AA' genotypes have an equal protective effect from the development of schizophrenia for rs363324. Unlike previous studies, the results for rs363371 were not significant. Future studies should use a larger sample size and include variables concerning environmental factors.

Subject Added Entry-Topical Term  

Sample size.

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Schizophrenia.

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Electronic health records.

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Dopamine.

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Drug abuse.

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Parkinsons disease.

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Mental disorders.

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Health risk assessment.

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Psychosis.

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Genomes.

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Mental health.

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Privacy.

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Genotype & phenotype.

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Genes.

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Eigenvectors.

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Clinical psychology.

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Genetics.

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Health sciences.

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Information science.

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Mathematics.

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Neurosciences.

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Psychology.

Added Entry-Corporate Name  

University of Pittsburgh.

Host Item Entry  

Dissertations Abstracts International. 85-03A.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:641300