Witten, Joshua
(2023)
COMPARISON OF GENOTYPE IMPUTATION ON CHROMOSOME 5 IN A
POPULATION ISOLATE USING HAPLOTYPES PHASED WITH AND WITHOUT
TOPMED GENOTYPES.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes to the patterns in a panel of reference haplotypes. The choice of reference panels matters, as does the phasing of the haplotypes in the chosen panel. Here I compared the imputa-tion accuracy of two reference panels: a panel of Samoan participants phased together with 1000 Genomes participants (“with-1000G”) and a panel of those participants phased together with the participants in the Trans-Omics in Precision Medicine (TOPMed) Program (“with-1000G+TOPMed”). I found no difference in the imputation accuracy between the panels. I also examined imputation quality statistics of variants in the 99th percentile of population branch statistics. They are the variants with allele frequencies most divergent from other populations and, therefore, might be most affected by differences in phasing. However, there was no differ-ence between the two panels in those results either. More accurate imputation improves the quality of genetic research, which should lead to an improved understanding of the biology of disease and improved information about efficacious public health interventions.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
17 May 2023 |
Date Type: |
Publication |
Defense Date: |
28 April 2023 |
Approval Date: |
17 May 2023 |
Submission Date: |
11 May 2023 |
Access Restriction: |
2 year -- Restrict access to University of Pittsburgh for a period of 2 years. |
Number of Pages: |
35 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Public Health > Human Genetics |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
Imputation, Soifua |
Date Deposited: |
17 May 2023 18:03 |
Last Modified: |
17 May 2023 18:03 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/44862 |
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