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Development of new molecular genetic epidemiological approaches with application to the human growth hormone, insulin-like growth factor I, and leptin receptor genes

Development of new molecular genetic epidemiological approaches with application to the human growth hormone, insulin-like growth factor I, and leptin receptor genes
Development of new molecular genetic epidemiological approaches with application to the human growth hormone, insulin-like growth factor I, and leptin receptor genes

The project had multiple aims:  To develop economical and fast methods for the identification of insertion/deletion polymorphisms.

Use the developed methods to genotype the 3’UTR 1/D polymorphism in the human leptin receptor gene in a large cohort.

To branch out and further the conservative methods of implementation of DNA banks already developed by our laboratory (DOP and L-PCR).

Use these developments to perform a cohort study of various polymorphisms in the human GH and IGF1 genes.

To develop ARMS assays and perform a cohort study of SNPs in the human GH1 and IGF1 genes.

To perform extensive analysis of the data available for the Hertfordshire banks.  To analyse the associations, between all the markers used for the methods development, with the various phenotype data available.  The main East Hertfordshire database, which contains phenotype data for cardiovascular markers, fasting, bloods, GTT’s lung function, and anthropometrics, and relationship with each genotype found for each SNP in both GH1 and IGF1 genes was also set to be analysed.  Genotype-phenotype analysis was intended to be performed for the data available for the East Hertfordshire bone database as well as for the North Hertfordshire database that contains information for ageing markers, blood pressure and anthropometrics.

To further expand the investigation of the SNP results by analysis linkage disequilibrium between the GH1 polymorphism and I/D polymorphism in the ACE gene, and LD between the investigated SNP markers in the IGF1 gene.

University of Southampton
Voropanov, Anca-Maria
1a3e6335-806d-490b-bdb6-2d38b7f82bb2
Voropanov, Anca-Maria
1a3e6335-806d-490b-bdb6-2d38b7f82bb2

Voropanov, Anca-Maria (2002) Development of new molecular genetic epidemiological approaches with application to the human growth hormone, insulin-like growth factor I, and leptin receptor genes. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

The project had multiple aims:  To develop economical and fast methods for the identification of insertion/deletion polymorphisms.

Use the developed methods to genotype the 3’UTR 1/D polymorphism in the human leptin receptor gene in a large cohort.

To branch out and further the conservative methods of implementation of DNA banks already developed by our laboratory (DOP and L-PCR).

Use these developments to perform a cohort study of various polymorphisms in the human GH and IGF1 genes.

To develop ARMS assays and perform a cohort study of SNPs in the human GH1 and IGF1 genes.

To perform extensive analysis of the data available for the Hertfordshire banks.  To analyse the associations, between all the markers used for the methods development, with the various phenotype data available.  The main East Hertfordshire database, which contains phenotype data for cardiovascular markers, fasting, bloods, GTT’s lung function, and anthropometrics, and relationship with each genotype found for each SNP in both GH1 and IGF1 genes was also set to be analysed.  Genotype-phenotype analysis was intended to be performed for the data available for the East Hertfordshire bone database as well as for the North Hertfordshire database that contains information for ageing markers, blood pressure and anthropometrics.

To further expand the investigation of the SNP results by analysis linkage disequilibrium between the GH1 polymorphism and I/D polymorphism in the ACE gene, and LD between the investigated SNP markers in the IGF1 gene.

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Published date: 2002

Identifiers

Local EPrints ID: 464901
URI: http://eprints.soton.ac.uk/id/eprint/464901
PURE UUID: 36430c87-21d5-4c7b-b1a0-4229b3694a59

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Date deposited: 05 Jul 2022 00:08
Last modified: 16 Mar 2024 19:48

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Contributors

Author: Anca-Maria Voropanov

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