Abstract

Mutations are changes to the DNA sequence that can occur either in the germline or somatic cellular lineages. These mutations are parts of the genetic code for cellular function but can also act as a molecular marker to identify distinct cellular lineages within or between individuals. With decreasing costs and the maturing of technology, there are increasingly more families with whole-genome sequencing data available. In this dissertation, I have used mutations to study DNA sequence of families in the context of DNA contamination within family members and monozygotic twinning. In Chapter 2, I used germline mutations to investigate how deviation from the Mendelian inheritance pattern could be used to accurately quantify intrafamilial DNA contaminations. Intrafamilial DNA contamination produces an expected pattern of variant allele frequency changes which can be measured from next generation sequencing data. Read count information from single nucleotide polymorphisms scattered throughout the genome was used to build a maximum likelihood estimation to quantify the familial contamination levels. This method also allowed the detection of biological phenomena, including chimerism and uniparental disomy. In Chapter3, I used somatic mutations, specifically those arising as early embryonic mutations, to trace the embryonic lineages of monozygotic twins. I conducted whole-genome sequencing and targeted sequencing of the twin families to detect and validate early embryonic mutations in twins. Using these early embryonic mutations, I reconstructed the clonal history of the twins and inferred the timing of their twinning events. In the final chapter, I will summarize the future directions of family sequencing studies.

Committee Chair

Obi Griffith

Committee Members

Malachi Griffith

Degree

Doctor of Philosophy (PhD)

Author's Department

Biology & Biomedical Sciences (Molecular Genetics & Genomics)

Author's School

Graduate School of Arts and Sciences

Document Type

Dissertation

Date of Award

5-8-2024

Language

English (en)

Author's ORCID

0000-0001-5714-7087

Available for download on Wednesday, May 08, 2030

Included in

Biology Commons

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