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
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Published: Imperial College London 2018
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Online Access:https://dx.doi.org/10.25560/78767
http://spiral.imperial.ac.uk/handle/10044/1/78767
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spelling ftdatacite:10.25560/78767 2023-05-15T17:42:25+02:00 Identification of genomic copy number variations associated with obesity-related phenotypes Bin Nor Hashim, Nikman Adli 2018 https://dx.doi.org/10.25560/78767 http://spiral.imperial.ac.uk/handle/10044/1/78767 unknown Imperial College London Creative Commons Attribution Non-Commercial No Derivatives licence. CC-BY-NC-ND Text ScholarlyArticle article-journal Doctor of Philosophy (PhD) 2018 ftdatacite https://doi.org/10.25560/78767 2021-11-05T12:55:41Z 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. Text Northern Finland DataCite Metadata Store (German National Library of Science and Technology)
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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.
format Text
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 Imperial College London
publishDate 2018
url https://dx.doi.org/10.25560/78767
http://spiral.imperial.ac.uk/handle/10044/1/78767
genre Northern Finland
genre_facet Northern Finland
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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