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		<title>BMC Medical Genomics - Latest articles</title>
		<link>http://www.biomedcentral.com/bmcmedgenomics/</link>
		<description>The latest articles from BMC Medical Genomics (ISSN 1755-8794) published by 
				
				BioMed Central
		</description>
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				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/31"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/30"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/29"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/28"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/27"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/26"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/25"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/24"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1755-8794/1/23"/>			    
            
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		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/31">
            
            <title>Increased cell motility and invasion upon knockdown of lipolysis stimulated lipoprotein receptor (LSR) in SW780 bladder cancer cells</title>
			<description>Background:
Mechanisms underlying the malignant development in bladder cancer are still not well understood. Lipolysis stimulated lipoprotein receptor (LSR) has previously been found to be upregulated by P53. Furthermore, we have previously found LSR to be differentially expressed in bladder cancer. Here we investigated the role of LSR in bladder cancer. 
Methods:
A time course siRNA knock down experiment was performed to investigate the functional role of LSR in SW780 bladder cancer cells. Since LSR was previously shown to be regulated by P53, siRNA against TP53 was included in the experimental setup. We used Affymetrix GeneChips for measuring gene expression changes and we used Ingenuity Pathway Analysis to investigate the relationship among differentially expressed genes upon siRNA knockdown.
Results:
By Ingenuity Pathway analysis of the microarray data from the different timepoints we identified six gene networks containing genes mainly related to the functional categories "cancer", "cell death", and "cellular movement". We determined that genes annotated to the functional category "cellular movement" including "invasion" and "cell motility" were highly significantly overrepresented. A matrigel assay showed that 24h after transfection the invasion capacity was significantly increased 3-fold (p&lt;0.02) in LSR-siRNA transfected cells, and 2.7-fold (p&lt;0.02) in TP53-siRNA transfected cells compared to controls. After 48h the motility capacity was significantly increased 3.5-fold (p&lt;0.004) in LSR-siRNA transfected cells, and 4.7-fold (p&lt;0.002) in TP53-siRNA transfected cells compared to controls. 
Conclusions:
We conclude that LSR may impair bladder cancer cells from gaining invasive properties. </description>
			<link>http://www.biomedcentral.com/1755-8794/1/31</link>
			
			 	<dc:creator>Malene Herbsleb, Karin Birkenkamp-Demtroder, Thomas Thykjaer, Carsten Wiuf, Anne-Mette K Hein, Torben F Orntoft and Lars Dyrskjot</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:31</dc:source>
			<dc:date>2008-07-22</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-31</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>31</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-22</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/30">
            
            <title>Gene expression in periodontal tissues following treatment  
</title>
			<description>Background:
In periodontitis, treatment aimed at controlling the periodontal biofilm infection results in a resolution of the clinical and histological signs of inflammation. Although the cell types found in periodontal tissues following treatment have been well described, information on gene expression is limited to few candidate genes. Therefore,  the aim of the study was to determine the expression profiles of immune and inflammatory genes in periodontal tissues from sites with severe chronic periodontitis following periodontal therapy in order to identify genes involved in tissue homeostasis at this stage of periodontal treatment. 
Gingival biopsies from 12 patients with severe chronic periodontitis were taken six to eight weeks following non-surgical periodontal therapy, and from 11 healthy controls. As internal standard, RNA of an immortalized human keratinocyte line (HaCaT) was used. Total RNA was subjected to gene expression profiling using a commercially available microarray system focusing on inflammation-related genes. Post-hoc confirmation of selected genes was done by real-time-PCR. 
Results:
Out of the 136 genes analyzed, the 5% most strongly expressed genes compared to healthy controls were Interleukin-12A (IL-12A), Versican (CSPG-2), Matrixmetalloproteinase-1 (MMP-1), Down syndrome critical region protein-1 (DSCR-1), Macrophage inflammatory protein-2A (Cxcl-3), Inhibitor of apoptosis protein-1 (BIRC-1), Cluster of differentiation antigen 38 (CD38), Regulator of G-protein signalling-1 (RGS-1), and Finkel-Biskis-Jinkins murine osteosarcoma virus oncogene (C-FOS); the 5% least strongly expressed genes were Receptor-interacting Serine/Threonine Kinase-2 (RIP-2), Complement component 3 (C3), Prostaglandin-endoperoxide synthase-2 (COX-2), Interleukin-8 (IL-8), Endothelin-1 (EDN-1), Plasminogen activator inhibitor type-2 (PAI-2), Matrix-metalloproteinase-14 (MMP-14), and Interferon regulating factor-7 (IRF-7).
Conclusions:
Gene expression profiles found in periodontal tissues following therapy indicate activation of pathways that control tissue damage and repair.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/30</link>
			
			 	<dc:creator>Thomas Beikler, Ulrike Peters, Karola Prior, Martin Eisenacher and Thomas F Flemmig</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:30</dc:source>
			<dc:date>2008-07-07</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-30</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>30</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-07</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/29">
            
            <title>Characterization of global transcription profile of normal and HPV-immortalized keratinocytes and their response to TNF treatment</title>
			<description>Background:
Persistent infection by high risk HPV types (e.g. HPV-16, -18, -31, and -45) is the main risk factor for development of cervical intraepithelial neoplasia and cervical cancer. Tumor necrosis factor (TNF) is a key mediator of epithelial cell inflammatory response and exerts a potent cytostatic effect on normal or HPV16, but not on HPV18 immortalized keratinocytes. Moreover, several cervical carcinoma-derived cell lines are resistant to TNF anti-proliferative effect suggesting that the acquisition of TNF-resistance may constitute an important step in HPV-mediated carcinogenesis. In the present study, we compared the gene expression profiles of normal and HPV16 or 18 immortalized human keratinocytes before and after treatment with TNF for 3 or 60 hours.
Methods:
In this study, we determined the transcriptional changes 3 and 60 hours after TNF treatment of normal, HPV16 and HPV18 immortalized keratinocytes by microarray analysis. The expression pattern of two genes observed by microarray was confirmed by Northern Blot. NF-&#954;B activation was also determined by electrophoretic mobility shift assay (EMSA) using specific oligonucleotides and nuclear protein extracts.
Results:
We observed the differential expression of a common set of genes in two TNF-sensitive cell lines that differs from those modulated in TNF-resistant ones. This information was used to define genes whose differential expression could be associated with the differential response to TNF, such as: KLK7 (kallikrein 7), SOD2 (superoxide dismutase 2), 100P (S100 calcium binding protein P), PI3 (protease inhibitor 3, skin-derived), CSTA (cystatin A), RARRES1 (retinoic acid receptor responder 1), and LXN (latexin). The differential expression of the KLK7 and SOD2 transcripts was confirmed by Northern blot. Moreover, we observed that SOD2 expression correlates with the differential NF-&#954;B activation exhibited by TNF-sensitive and TNF-resistant cells.
Conclusion:
This is the first in depth analysis of the differential effect of TNF on normal and HPV16 or HPV18 immortalized keratinocytes. Our findings may be useful for the identification of genes involved in TNF resistance acquisition and candidate genes which deregulated expression may be associated with cervical disease establishment and/or progression.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/29</link>
			
			 	<dc:creator>Lara Termini, Enrique Boccardo, Gustavo H Esteves, Roberto Hirata, Waleska K Martins, Anna Estela L Colo, E Jord&#227;o Neves, Luisa Lina Villa and Luiz FL Reis</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:29</dc:source>
			<dc:date>2008-06-27</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-29</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>29</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-27</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/28">
            
            <title>Pathway analysis reveals functional convergence of gene expression profiles in breast cancer</title>
			<description>Background:
A recent study has shown high concordance of several breast-cancer gene signatures in predicting disease recurrence despite minimal overlap of the gene lists. It raises the question if there are common themes underlying such prediction concordance that are not apparent on the individual gene-level. We therefore studied the similarity of these gene-signatures on the basis of their functional annotations.
Results:
We found the signatures did not identify the same set of genes but converged on the activation of a similar set of oncogenic and clinically-relevant pathways. A clear and consistent pattern across the four breast cancer signatures is the activation of the estrogen-signaling pathway. Other common features include BRCA1-regulated pathway, reck pathways, and insulin signaling associated with the ER-positive disease signatures, all providing possible explanations for the prediction concordance.
Conclusion:
This work explains why independent breast cancer signatures that appear to perform equally well at predicting patient prognosis show minimal overlap in gene membership.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/28</link>
			
			 	<dc:creator>Ronglai Shen, Arul M Chinnaiyan and Debashis Ghosh</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:28</dc:source>
			<dc:date>2008-06-27</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-28</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>28</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-27</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/27">
            
            <title>Molecular analysis of the vaginal response to estrogens in the ovariectomized rat and postmenopausal woman</title>
			<description>Background:
Vaginal atrophy (VA) is the thinning of the vaginal epithelial lining, typically the result of lowered estrogen levels during menopause. Some of the consequences of VA include increased susceptibility to bacterial infection, pain during sexual intercourse, and vaginal burning or itching. Although estrogen treatment is highly effective, alternative therapies are also desired for women who are not candidates for post-menopausal hormone therapy (HT). The ovariectomized (OVX) rat is widely accepted as an appropriate animal model for many estrogen-dependent responses in humans; however, since reproductive biology can vary significantly between mammalian systems, this study examined how well the OVX rat recapitulates human biology.
Methods:
We analyzed 19 vaginal biopsies from human subjects pre and post 3-month 17&#946;-estradiol treated by expression profiling. Data were compared to transcriptional profiling generated from vaginal samples obtained from ovariectomized rats treated with 17&#946;-estradiol for 6 hrs, 3 days or 5 days. The level of differential expression between pre- vs. post- estrogen treatment was calculated for each of the human and OVX rat datasets. Probe sets corresponding to orthologous rat and human genes were mapped to each other using NCBI Homologene.
Results:
A positive correlation was observed between the rat and human responses to estrogen. Genes belonging to several biological pathways and GO categories were similarly differentially expressed in rat and human. A large number of the coordinately regulated biological processes are already known to be involved in human VA, such as inflammation, epithelial development, and EGF pathway activation.
Conclusion:
At the transcriptional level, there is evidence of significant overlap of the effects of estrogen treatment between the OVX rat and human VA samples.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/27</link>
			
			 	<dc:creator>Scott A Jelinsky, Sung E Choe, Judy S Crabtree, Monette M Cotreau, Ewa Wilson, Kathryn Saraf, Andrew J Dorner, Eugene L Brown, Bryan J Peano, Xiaochun Zhang, Richard C Winneker and Heather A Harris</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:27</dc:source>
			<dc:date>2008-06-25</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-27</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>27</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-25</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/26">
            
            <title>Whole genome assessment of the retinal response to diabetes reveals a progressive neurovascular inflammatory response</title>
			<description>Background:
Despite advances in the understanding of diabetic retinopathy, the nature and time course of molecular changes in the retina with diabetes are incompletely described. This study characterized the functional and molecular phenotype of the retina with increasing durations of diabetes.
Results:
Using the streptozotocin-induced rat model of diabetes, levels of retinal permeability, caspase activity, and gene expression were examined after 1 and 3 months of diabetes. Gene expression changes were identified by whole genome microarray and confirmed by qPCR in the same set of animals as used in the microarray analyses and subsequently validated in independent sets of animals. Increased levels of vascular permeability and caspase-3 activity were observed at 3 months of diabetes, but not 1 month. Significantly more and larger magnitude gene expression changes were observed after 3 months than after 1 month of diabetes. Quantitative PCR validation of selected genes related to inflammation, microvasculature and neuronal function confirmed gene expression changes in multiple independent sets of animals.
Conclusion:
These changes in permeability, apoptosis, and gene expression provide further evidence of progressive retinal malfunction with increasing duration of diabetes. The specific gene expression changes confirmed in multiple sets of animals indicate that pro-inflammatory, anti-vascular barrier, and neurodegenerative changes occur in tandem with functional increases in apoptosis and vascular permeability. These responses are shared with the clinically documented inflammatory response in diabetic retinopathy suggesting that this model may be used to test anti-inflammatory therapeutics.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/26</link>
			
			 	<dc:creator>Robert M Brucklacher, Kruti M Patel, Heather D VanGuilder, Georgina V Bixler, Alistair J Barber, David A Antonetti, Cheng-Mao Lin, Kathryn F LaNoue, Thomas W Gardner, Sarah K Bronson and Willard M Freeman</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:26</dc:source>
			<dc:date>2008-06-13</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-26</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>26</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-13</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/25">
            
            <title>Genome wide SNP comparative analysis between EGFR and KRAS mutated NSCLC and characterization of two models of oncogenic cooperation in non-small cell lung carcinoma. </title>
			<description>Background:
Lung cancer with EGFR mutation was shown to be a specific clinical entity. In order to better understand the biology behind this disease we used a genome wide characterization of loss of heterozygosity and amplification by Single Nucleotide Polymorphism (SNP) Array analysis to point out chromosome segments linked to EGFR mutations. To do so, we compared genetic profiles between EGFR mutated adenocarcinomas (ADC) and KRAS mutated ADC from 24 women with localized lung cancer. 
Results:
Patterns of alterations were different between EGFR and KRAS mutated tumors and specific chromosomes alterations were linked to the EGFR mutated group. Indeed chromosome regions 14q21.3 (p=0.027), 7p21.3-p21.2 (p=0.032), 7p21.3 (p=0.042) and 7p21.2-7p15.3 (p=0.043) were found significantly amplified in EGFR mutated tumors. Within those regions 3 genes are of special interest ITGB8, HDAC9 and TWIST1. Moreover, homozygous deletions at CDKN2A and LOH at RB1 were identified in EGFR mutated tumors. We therefore tested the existence of a link between EGFR mutation, CDKN2A homozygous deletion and cyclin amplification in a larger series of tumors. Indeed, in a series of non-small-cell lung carcinoma (n=98) we showed that homozygous deletions at CDKN2A were linked to EGFR mutations and absence of smoking whereas cyclin amplifications (CCNE1 and CCND1) were associated to TP53 mutations and smoking habit. Conclusions: All together, our results show that genome wide patterns of alteration differ between EGFR and KRAS mutated lung ADC, describe two models of oncogenic cooperation involving either EGFR mutation and CDKN2A deletion or cyclin amplification and TP53 inactivating mutations and identified new chromosome regions at 7p and 14q associated to EGFR mutations in lung cancer.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/25</link>
			
			 	<dc:creator>Helene Blons, Karine Pallier, Delphine Le Corre, Claire Danel, Maxime Tremblay, Claude Houdayer, Elizabeth Fabre-Guillevin, Marc Riquet, Philippe Dessen and Pierre Laurent-Puig</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:25</dc:source>
			<dc:date>2008-06-12</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-25</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>25</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-12</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/24">
            
            <title>Genotyping panel for assessing response to cancer chemotherapy</title>
			<description>Background:
Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes.
Methods:
We have adopted SNPlex for genotyping 432 single nucleotide polymorphisms (SNPs) in 160 candidate genes implicated in response to anticancer chemotherapy.
Results:
The genotyping panels were applied to 39 patients with chronic lymphocytic leukemia undergoing flavopiridol chemotherapy, and 90 patients with colorectal cancer. 408 SNPs (94%) produced successful genotyping results. Additional genotyping methods were established for polymorphisms undetectable by SNPlex, including multiplexed SNaPshot for CYP2D6 SNPs, and PCR amplification with fluorescently labeled primers for the UGT1A1 promoter (TA)nTAA repeat polymorphism.
Conclusion:
This genotyping panel is useful for supporting clinical anticancer drug trials to identify polymorphisms that contribute to interindividual variability in drug response. Availability of population genetic data across multiple studies has the potential to yield genetic biomarkers for optimizing anticancer therapy.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/24</link>
			
			 	<dc:creator>Zunyan Dai, Audrey C Papp, Danxin Wang, Heather Hampel and Wolfgang Sadee</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:24</dc:source>
			<dc:date>2008-06-11</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-24</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>24</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-11</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/23">
            
            <title>A genome-wide search replicates evidence of a quantitative trait locus for circulating angiotensin I-converting enzyme (ACE) unlinked to the ACE gene</title>
			<description>Background:
Angiotensin I-converting enzyme (ACE) plays an important role in cardiovascular homeostasis. There is evidence from different ethnic groups that circulating ACE levels are influenced by a quantitative trait locus (QTL) at the ACE gene on chromosome 17. The finding of significant residual familial correlations in different ethnic groups, after accounting for this QTL, and the finding of support for linkage to a locus on chromosome 4 in Mexican-American families strongly suggest that there may well be QTLs for ACE unlinked to the ACE gene.
Methods:
A genome-wide panel of microsatellite markers, and a panel of biallelic polymorphisms in the ACE gene were typed in Nigerian families. Single locus models with fixed parameters were used to test for linkage to circulating ACE with and without adjustment for the effects of the ACE gene polymorphisms.
Results:
Strong evidence was found for D17S2193 (Zmax = 3.5); other nearby markers on chromosome 17 also showed modest support. After adjustment for the effects of the ACE gene locus, evidence of "suggestive linkage" to circulating ACE was found for D4S1629 (Zmax = 2.2); this marker is very close to a locus previously shown to be linked to circulating ACE levels in Mexican-American families.
Conclusion:
In this report we have provided further support for the notion that there are QTLs for ACE unlinked to the ACE gene; our findings for chromosome 4, which appear to replicate the findings of a previous independent study, should be considered strong grounds for a more detailed examination of this region in the search for genes/variants which influence ACE levels.The poor yields, thus far, in defining the genetic determinants of hypertension risk suggest a need to look beyond simple relationships between genotypes and the ultimate phenotype. In addition to incorporating information on important environmental exposures, a better understanding of the factors which influence the building blocks of the blood pressure homeostatic network is also required. Detailed studies of the genetic determinants of ACE, an important component of the renin-angiotensin system, have the potential to contribute to this strategic objective.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/23</link>
			
			 	<dc:creator>Colin A McKenzie, Xiaofeng Zhu, Terrence E Forrester, Amy Luke, Adebowale A Adeyemo, Nourdine Bouzekri and Richard S Cooper</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:23</dc:source>
			<dc:date>2008-06-10</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-23</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>23</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-10</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1755-8794/1/22">
            
            <title>Worldwide population differentiation at disease-associated SNPs</title>
			<description>Background:
Recent genome-wide association (GWA) studies have provided compelling evidence of association between genetic variants and common complex diseases. These studies have made use of cases and controls almost exclusively from populations of European ancestry and little is known about the frequency of risk alleles in other populations. The present study addresses the transferability of disease associations across human populations by examining levels of population differentiation at disease-associated single nucleotide polymorphisms (SNPs).
Methods:
We genotyped ~1000 individuals from 53 populations worldwide at 25 SNPs which show robust association with 6 complex human diseases (Crohn's disease, type 1 diabetes, type 2 diabetes, rheumatoid arthritis, coronary artery disease and obesity). Allele frequency differences between populations for these SNPs were measured using Fst. The Fst values for the disease-associated SNPs were compared to Fst values from 2750 random SNPs typed in the same set of individuals.
Results:
On average, disease SNPs are not significantly more differentiated between populations than random SNPs in the genome. Risk allele frequencies, however, do show substantial variation across human populations and may contribute to differences in disease prevalence between populations. We demonstrate that, in some cases, risk allele frequency differences are unusually high compared to random SNPs and may be due to the action of local (i.e. geographically-restricted) positive natural selection. Moreover, some risk alleles were absent or fixed in a population, which implies that risk alleles identified in one population do not necessarily account for disease prevalence in all human populations.
Conclusion:
Although differences in risk allele frequencies between human populations are not unusually large and are thus likely not due to positive local selection, there is substantial variation in risk allele frequencies between populations which may account for differences in disease prevalence between human populations.</description>
			<link>http://www.biomedcentral.com/1755-8794/1/22</link>
			
			 	<dc:creator>Sean Myles, Dan Davison, Jeffrey Barrett, Mark Stoneking and Nic Timpson</dc:creator>
			
			<dc:source>BMC Medical Genomics 2008, 1:22</dc:source>
			<dc:date>2008-06-04</dc:date>
			<dc:identifier>doi:10.1186/1755-8794-1-22</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medical Genomics</prism:publicationName>
					
			
							
					<prism:issn>1755-8794</prism:issn>
					
			
							
					<prism:volume>1</prism:volume>
					
			
							
					<prism:startingPage>22</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-04</prism:publicationDate>
					

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