Medical relevance and functional consequences of protein truncating variants
| Autor: | Rivas Cruz, Manuel A. |
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| Rok vydání: | 2015 |
| Předmět: |
572
Genetics (life sciences) Mathematical genetics and bioinformatics (statistics) Statistics Program development and tools Medical Sciences Human Genetics Medical Genetics Mathematical genetics Statistical Genetics Rare variants Genome sequencing Protein truncating variants human knockout loss of function variants type 2 diabetes lipids RNA sequencing allele specific expression autoimmune diseases splice disrupting variants dyslipidemia variant annotation GTEx disease mapping gene mapping MCMC methods in genetics Gibbs sampler Mixture models C-alpha test metabolomics |
| Druh dokumentu: | Electronic Thesis or Dissertation |
| Popis: | Genome-wide association studies have greatly improved our understanding of the contribution of common variants to the genetic architecture of complex traits. However, two major limitations have been highlighted. First, common variant associations typically do not identify the causal variant and/or the gene that it is exerting its effect on to influence a trait. Second, common variant associations usually consist of variants with small effects. As a consequence, it is more challenging to harness their translational impact. Association studies of rare variants and complex traits may be able to help address these limitations. Empirical population genetic data shows that deleterious variants are rare. More specifically, there is a very strong depletion of common protein truncating variants (PTVs, commonly referred to as loss-of-function variants) in the genome, a group of variants that have been shown to have large effect on gene function, are enriched for severe disease-causing mutations, but in other instances may actually be protective against disease. This thesis is divided into three parts dedicated to the study of protein truncating variants, their medical relevance, and their functional consequences. First, I present statistical, bioinformatic, and computational methods developed for the study of protein truncating variants and their association to complex traits, and their functional consequences. Second, I present application of the methods to a number of case-control and quantitative trait studies discovering new variants and genes associated to breast and ovarian cancer, type 1 diabetes, lipids, and metabolic traits measured with NMR spectroscopy. Third, I present work on improving annotation of protein truncating variants by studying their functional consequences. Taken together, these results highlight the utility of interrogating protein truncating variants in medical and functional genomic studies. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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