Identification of genomic copy number variations associated with obesity-related phenotypes

Obesity is a chronic disease with increasing prevalence worldwide. Recent advances in human genetics have led to the discovery of genetic variations underlying obesity, including copy number variants (CNVs). The overall aim of this thesis was to explore the contribution of CNVs to human obesity by (...

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Main Author: Bin Nor Hashim, Nikman Adli
Other Authors: Blakemore, Alexandra, Mara (Organization : Malaysia)
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: Department of Medicine, Imperial College London 2018
Subjects:
Online Access:http://hdl.handle.net/10044/1/78767
https://doi.org/10.25560/78767
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spelling ftimperialcol:oai:spiral.imperial.ac.uk:10044/1/78767 2023-05-15T17:42:25+02:00 Identification of genomic copy number variations associated with obesity-related phenotypes Bin Nor Hashim, Nikman Adli Blakemore, Alexandra Mara (Organization : Malaysia) 2018-10 http://hdl.handle.net/10044/1/78767 https://doi.org/10.25560/78767 unknown Department of Medicine, Imperial College London http://hdl.handle.net/10044/1/78767 https://doi.org/10.25560/78767 WMDI_P54401 Creative Commons Attribution Non-Commercial No Derivatives licence. CC-BY-NC-ND Thesis or dissertation Doctoral Doctor of Philosophy (PhD) 2018 ftimperialcol https://doi.org/10.25560/78767 2020-05-07T22:38:15Z Obesity is a chronic disease with increasing prevalence worldwide. Recent advances in human genetics have led to the discovery of genetic variations underlying obesity, including copy number variants (CNVs). The overall aim of this thesis was to explore the contribution of CNVs to human obesity by (i) producing high quality CNV catalogues from various SNP genotyping datasets; (ii) identifying specific CNVs previously reported to be associated with obesity-related phenotypes (two rare deletion variants in the 16p11.2 region, and multi-allelic CNVs in the amylase gene region on chromosome 1) in 5 study cohorts in order to perform replication studies and extend understanding of their phenotypic effects; and (iii) to identify rare, novel CNVs in morbid obesity. The CNVs were predicted and quality-checked based on the signal intensity data from the SNP genotyping data, which yielded CNVs with consistent characteristics across the study cohorts, and comparable with other studies. Salivary amylase (AMY1) CNVs were genotyped by a collaborator using Paralogue Ratio Tests (PRTs) in a small intensively-phenotyped cohort of overweight-to-obese individuals. Statistical analyses indicated no significant associations for AMY1 CNVs with body mass index, waist-to-hip ratio, body fats and starch intake, further increasing the evidence that AMY1 CNVs are not associated with obesity, as reported in previous studies. Both 16p11.2 deletion variants (~600-kb and ~200-kb) were confirmed as associated with BMI and WHR in the UK Biobank and Northern Finland Birth Cohort 1966 participants: 600-kb deletion carriers had 12-fold increased risk of obesity in the UK Biobank. Finally, 3 potentially causative CNVs were discovered in 3 different morbidly obese people from the Northern Finland general population; duplications in 17p13 and 22q11.2 regions and a 5p14.3 deletion. The 3 CNVs spanned regions involving brain function and implicated in obesity. The findings are consistent with previous studies, highlighting the role of rare CNVs in the aetiology of obesity. Open Access Doctoral or Postdoctoral Thesis Northern Finland Imperial College London: Spiral
institution Open Polar
collection Imperial College London: Spiral
op_collection_id ftimperialcol
language unknown
description Obesity is a chronic disease with increasing prevalence worldwide. Recent advances in human genetics have led to the discovery of genetic variations underlying obesity, including copy number variants (CNVs). The overall aim of this thesis was to explore the contribution of CNVs to human obesity by (i) producing high quality CNV catalogues from various SNP genotyping datasets; (ii) identifying specific CNVs previously reported to be associated with obesity-related phenotypes (two rare deletion variants in the 16p11.2 region, and multi-allelic CNVs in the amylase gene region on chromosome 1) in 5 study cohorts in order to perform replication studies and extend understanding of their phenotypic effects; and (iii) to identify rare, novel CNVs in morbid obesity. The CNVs were predicted and quality-checked based on the signal intensity data from the SNP genotyping data, which yielded CNVs with consistent characteristics across the study cohorts, and comparable with other studies. Salivary amylase (AMY1) CNVs were genotyped by a collaborator using Paralogue Ratio Tests (PRTs) in a small intensively-phenotyped cohort of overweight-to-obese individuals. Statistical analyses indicated no significant associations for AMY1 CNVs with body mass index, waist-to-hip ratio, body fats and starch intake, further increasing the evidence that AMY1 CNVs are not associated with obesity, as reported in previous studies. Both 16p11.2 deletion variants (~600-kb and ~200-kb) were confirmed as associated with BMI and WHR in the UK Biobank and Northern Finland Birth Cohort 1966 participants: 600-kb deletion carriers had 12-fold increased risk of obesity in the UK Biobank. Finally, 3 potentially causative CNVs were discovered in 3 different morbidly obese people from the Northern Finland general population; duplications in 17p13 and 22q11.2 regions and a 5p14.3 deletion. The 3 CNVs spanned regions involving brain function and implicated in obesity. The findings are consistent with previous studies, highlighting the role of rare CNVs in the aetiology of obesity. Open Access
author2 Blakemore, Alexandra
Mara (Organization : Malaysia)
format Doctoral or Postdoctoral Thesis
author Bin Nor Hashim, Nikman Adli
spellingShingle Bin Nor Hashim, Nikman Adli
Identification of genomic copy number variations associated with obesity-related phenotypes
author_facet Bin Nor Hashim, Nikman Adli
author_sort Bin Nor Hashim, Nikman Adli
title Identification of genomic copy number variations associated with obesity-related phenotypes
title_short Identification of genomic copy number variations associated with obesity-related phenotypes
title_full Identification of genomic copy number variations associated with obesity-related phenotypes
title_fullStr Identification of genomic copy number variations associated with obesity-related phenotypes
title_full_unstemmed Identification of genomic copy number variations associated with obesity-related phenotypes
title_sort identification of genomic copy number variations associated with obesity-related phenotypes
publisher Department of Medicine, Imperial College London
publishDate 2018
url http://hdl.handle.net/10044/1/78767
https://doi.org/10.25560/78767
genre Northern Finland
genre_facet Northern Finland
op_relation http://hdl.handle.net/10044/1/78767
https://doi.org/10.25560/78767
WMDI_P54401
op_rights Creative Commons Attribution Non-Commercial No Derivatives licence.
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.25560/78767
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