Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology

Most human traits and common diseases have a complex genetic makeup involving more than one gene. The work presented in this thesis investigates standing body height and the common disease type 2 diabetes mellitus (T2DM). In study I we analyzed two single nucleotide polymorphisms (SNPs) in the TCF...

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Main Author: Dahlgren, Andreas
Format: Doctoral Thesis
Language:English
Published: Uppsala universitet, Institutionen för medicinska vetenskaper 2007
Subjects:
SNP
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8291
http://nbn-resolving.de/urn:isbn:978-91-554-7007-4
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-82912013-01-08T13:04:35ZAnalysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping TechnologyengDahlgren, AndreasUppsala universitet, Institutionen för medicinska vetenskaperUppsala : Acta Universitatis Upsaliensis2007Molecular medicineSNPTCF7L2HHEXCOL11A1ESR1body heighttype 2 diabetes mellitusproinsulinULSAMcomplex genetic traitgenotyping technologyMolekylärmedicinMost human traits and common diseases have a complex genetic makeup involving more than one gene. The work presented in this thesis investigates standing body height and the common disease type 2 diabetes mellitus (T2DM). In study I we analyzed two single nucleotide polymorphisms (SNPs) in the TCF7L2 gene that had been shown to be associated with T2DM. Analysis was performed in the ULSAM population cohort of ~1500 males. We were able to replicate the association to type 2 diabetes and in addition to that we made a novel find, showing association between the risk alleles and increased proinsulin levels. In study II we analyzed four genes identified to be associated with T2DM in a genome-wide association study. We analyzed SNPs in these genes in the ULSAM population cohort and found an association between SNPs in the HHEX gene and insulin responses and insulin levels. The aim of studies III-V was to identify genes affecting normal variation in standing body height. Using a candidate gene approach in study III, 17 genes were screened in the ULSAM population cohort using SNPs. A suggestive association of the ESR1 gene with height was found and confirmed as significant in males from the PIVUS population cohort. In study IV, as a part of the GenomEUtwin project, we performed genetic fine mapping of a linked locus for body height on the X-chromosome. By analyzing 1377 SNPs in 780 Finnish twins, we mapped a region spanning 65kb of this locus with linkage to body height in males. This region contains the GPC3 and PHF6 genes that have known connections to syndromes were standing body height is affected. In study V significant linkage and association to standing body height in males was found for the COL1A11 gene, using population cohorts from Finland and Iceland. Doctoral thesis, comprehensive summaryinfo:eu-repo/semantics/doctoralThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8291urn:isbn:978-91-554-7007-4Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, 1651-6206 ; 287application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Molecular medicine
SNP
TCF7L2
HHEX
COL11A1
ESR1
body height
type 2 diabetes mellitus
proinsulin
ULSAM
complex genetic trait
genotyping technology
Molekylärmedicin
spellingShingle Molecular medicine
SNP
TCF7L2
HHEX
COL11A1
ESR1
body height
type 2 diabetes mellitus
proinsulin
ULSAM
complex genetic trait
genotyping technology
Molekylärmedicin
Dahlgren, Andreas
Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
description Most human traits and common diseases have a complex genetic makeup involving more than one gene. The work presented in this thesis investigates standing body height and the common disease type 2 diabetes mellitus (T2DM). In study I we analyzed two single nucleotide polymorphisms (SNPs) in the TCF7L2 gene that had been shown to be associated with T2DM. Analysis was performed in the ULSAM population cohort of ~1500 males. We were able to replicate the association to type 2 diabetes and in addition to that we made a novel find, showing association between the risk alleles and increased proinsulin levels. In study II we analyzed four genes identified to be associated with T2DM in a genome-wide association study. We analyzed SNPs in these genes in the ULSAM population cohort and found an association between SNPs in the HHEX gene and insulin responses and insulin levels. The aim of studies III-V was to identify genes affecting normal variation in standing body height. Using a candidate gene approach in study III, 17 genes were screened in the ULSAM population cohort using SNPs. A suggestive association of the ESR1 gene with height was found and confirmed as significant in males from the PIVUS population cohort. In study IV, as a part of the GenomEUtwin project, we performed genetic fine mapping of a linked locus for body height on the X-chromosome. By analyzing 1377 SNPs in 780 Finnish twins, we mapped a region spanning 65kb of this locus with linkage to body height in males. This region contains the GPC3 and PHF6 genes that have known connections to syndromes were standing body height is affected. In study V significant linkage and association to standing body height in males was found for the COL1A11 gene, using population cohorts from Finland and Iceland.
author Dahlgren, Andreas
author_facet Dahlgren, Andreas
author_sort Dahlgren, Andreas
title Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
title_short Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
title_full Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
title_fullStr Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
title_full_unstemmed Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology
title_sort analysis of complex genetic traits in population cohorts using high-throughput genotyping technology
publisher Uppsala universitet, Institutionen för medicinska vetenskaper
publishDate 2007
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8291
http://nbn-resolving.de/urn:isbn:978-91-554-7007-4
work_keys_str_mv AT dahlgrenandreas analysisofcomplexgenetictraitsinpopulationcohortsusinghighthroughputgenotypingtechnology
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