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Project 1

SNP Identification and Association with Disease Phenotypes
(PI: J. Cohen)

The overall goal of this Project is to identify sequence polymorphisms in the genome that contribute to coronary atherosclerosis and cardiac hypertrophy. Over the last three years we have focused on identifying sequence variations in the coding regions of genes. In the next four years we plan to extend our sequence analysis to conserved sequences in the noncoding regions of candidate genes. We will continue to analyze the clinical consequences of SNPs (single nucleotide polymorphisms) and haplotypes in phenotypically well-characterized subjects from multi-ethnic populations. The proposed project capitalizes on the extensive infrastructure, bioinformatics resources, and expertise established during the first phase of this Program.The Specific Aims are:


Specific Aim 1: To define the spectrum of DNA sequence variation in genes controlling lipid metabolism.
In this Project we will provide a comprehensive assessment of sequence variation in genes participating in the critical metabolic pathways involved in lipid homeostasis. In the previous cycle of this Program, we found that individuals with a wide range of extreme phenotypes, for example very low plasma levels of high density lipoproteins (HDL) were much more likely to have functional mutations in candidate genes for those traits than were healthy individuals. Numerous deleterious mutations were identified in candidate genes for low plasma levels of HDL. Each mutation was found in only a small number of subjects but collectively the number of deleterious mutations was greater in those with low plasma levels of HDL compared with those with either normal or high plasma levels of HDL. Thus, we are going to continue to test the hypothesis that rare sequence variations with large effects contribute importantly to the variability in the population of some complex traits. To test this hypothesis we will resequence the coding sequences and evolutionarily conserved noncoding regions in 96 individuals with very high (>95th percentile) or low lipoprotein levels (<5th percentile) from a large, multiethnic population based sample. Each gene will be resequenced in equal numbers of African-American and White men and women. This strategy will reveal both common and rare sequence variants and will provide an initial indication of which variants are associated with a specific phenotype.


Specific Aim 2: To define the spectrum of DNA sequence variation in noncoding sequences that have been highly conserved through vertebrate evolution.
Comparison of the completed genome sequences from human, mouse, and pufferfish revealed approximately 2000 noncoding sequence elements that are highly conserved among these species. The strong conservation of these regions suggests the sequences contained in these regions play important roles in the regulation of gene expression, which is supported by the studies performed by the Berkeley PGA. We plan to screen these highly conserved noncoding sequences for sequence variation. All noncoding regions that are highly conserved between human, mouse, and pufferfish will be sequenced in 32 individuals with the phenotypes of interest (16 African-Americans and 16 Whites).


Specific Aim 3: To assess the functional sequelae of polymorphisms and mutations that alter conserved nucleotides in transcription factors controlling cardiac development and lipid metabolism.
The functional significance of the sequence variations identified in Specific Aims 1 and 2 will be determined by testing for association between the sequence variations and phenotypes in a large number (n=3500) of ethnically diverse, densely phenotyped participants from the recently completed Dallas Heart Study. For those polymophisms that reveal convincing phenotypic associations, we will perform studies in cells and in genetically-modified animals to determine the functional effects of variability in the level of expression or the sequence of the implicated gene. These studies will be performed in collaboration with investigators in other PGAs with expertise pertinent to the genes implicated in these studies.



Dec.17, 2003
3:00 pm

Bioinformatics Online Educational Conference



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