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        <title>BMC Medical Genetics - Latest Articles</title>
        <link>http://www.biomedcentral.com/bmcmedgenet/</link>
        <description>The latest research articles published by BMC Medical Genetics</description>
        <dc:date>2009-12-14T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2350/10/136" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2350/10/135" />
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2350/10/129" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2350/10/128" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/136">
        <title>Reduced transcription of TCOF1 in adult cells of Treacher Collins syndrome patients</title>
        <description>Background:
Treacher Collins syndrome (TCS) is an autosomal dominant craniofacial disorder caused by frameshift deletions or duplications in the TCOF1 gene. These mutations cause premature termination codons, which are predicted to lead to mRNA degradation by nonsense mediated mRNA decay (NMD). Haploinsufficiency of the gene product (treacle) during embryonic development is the proposed molecular mechanism underlying TCS. However, it is still unknown if TCOF1 expression levels are decreased in post-embryonic human cells.
Methods:
We have estimated TCOF1 transcript levels through real time PCR in mRNA obtained from leucocytes and mesenchymal cells of TCS patients (n=23) and controls (n=18). Mutational screening and analysis of NMD were performed by direct sequencing of gDNA and cDNA, respectively.
Results:
All the 23 patients had typical clinical features of the syndrome and pathogenic mutations were detected in 19 of them.  We demonstrated that the expression level of TCOF1 is 18-31% lower in patients than in controls (p&lt;0.05), even if we exclude the patients in whom we did not detect the pathogenic mutation. We also observed that the mutant allele is usually less abundant than the wild type one in mesenchymal cells.
Conclusions:
This is the first study to report decreased expression levels of TCOF1 in TCS adult human cells, but it is still unknown if this finding is associated to any phenotype in adulthood. In addition, as we demonstrated that alleles harboring the pathogenic mutations have lower expression, we herein corroborate the current hypothesis of NMD of the mutant transcript as the explanation for diminished levels of TCOF1 expression. Further, considering that TCOF1 deficiency in adult cells could be associated to pathologic clinical findings, it will be important to verify if TCS patients have an impairment in adult stem cell properties, as this can reduce the efficiency of plastic surgery results during rehabilitation of these patients.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/136</link>
                <dc:creator>Cibele Masotti</dc:creator>
                <dc:creator>Camila Ornelas</dc:creator>
                <dc:creator>Alessandra Splendore-Gordonos</dc:creator>
                <dc:creator>Ricardo Moura</dc:creator>
                <dc:creator>Temis Felix</dc:creator>
                <dc:creator>Nivaldo Alonso</dc:creator>
                <dc:creator>Anamaria Camargo</dc:creator>
                <dc:creator>Maria Rita Passos-Bueno</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:136</dc:source>
        <dc:date>2009-12-14T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-136</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>136</prism:startingPage>
        <prism:publicationDate>2009-12-14T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/135">
        <title>STK39 polymorphisms and blood pressure: an association study in British Caucasians and assessment of cis-acting influences on gene expression</title>
        <description>Background:
Blood pressure (BP) has significant heritability, but the genes responsible remain largely unknown.  Single nucleotide polymorphisms (SNPs) at the STK39 locus were recently associated with hypertension by genome-wide association in an Amish population; in vitro data from transient transfection experiments using reporter constructs suggested that altered STK39 expression might mediate the effect. However, other large studies have not implicated STK39 in hypertension. We determined whether reported SNPs influenced STK39 expression in vivo, or were associated with BP in a large British Caucasian cohort.
Methods:
1372 members of 247 Caucasian families ascertained through a hypertensive proband were genotyped for reported risk variants in STK39 (rs6749447, rs3754777, rs35929607) using Sequenom technology. MERLIN software was used for family-based association testing.  Cis-acting influences on expression were assessed in vivo using allelic expression ratios in cDNA from peripheral blood cells in 35 South African individuals heterozygous for a transcribed SNP in STK39 (rs1061471) and quantified by mass spectrometry (Sequenom).
Results:
No significant association was seen between the SNPs tested and systolic or diastolic BP in clinic or ambulatory measurements (all p&gt;0.05).  The tested SNPs were all associated with allelic expression differences in peripheral blood cells (p&lt;0.05), with the most significant association for the intronic SNP rs6749447 (P=9.9x10-4).  In individuals who were heterozygous for this SNP, on average the G allele showed 13% overexpression compared to the T allele.
Conclusions:
STK39 expression is modified by polymorphisms acting in cis and the typed SNPs are associated with allelic expression of this gene, but there is no evidence for an association with BP in a British Caucasian cohort.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/135</link>
                <dc:creator>Michael Cunnington</dc:creator>
                <dc:creator>Chris Kay</dc:creator>
                <dc:creator>Peter Avery</dc:creator>
                <dc:creator>Bongani Mayosi</dc:creator>
                <dc:creator>Mauro Santibanez Koref</dc:creator>
                <dc:creator>Bernard Keavney</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:135</dc:source>
        <dc:date>2009-12-14T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-135</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>135</prism:startingPage>
        <prism:publicationDate>2009-12-14T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/134">
        <title>The neck-region polymorphism of DC-SIGNR in peri-centenarian from Han Chinese Population</title>
        <description>Background:
DC-SIGNR (also called CD209L) has been extensively studied on its role in host genetic predisposition to viral infection. In particular, variable number tandem repeat (VNTR) of the neck-region of DC-SIGNR is highly polymorphic and the polymorphism has been investigated for genetic predisposition to various infectious diseases, though conflicting results had been reported. As infection is a major cause of human death and a mechanism of natural selection, we hypothesized that VNTR polymorphism of DC-SIGNR might have an effect on human life span.
Methods:
Here we collected 361 peri-centenarian individuals (age[greater than or equal to]94 for female and age[greater than or equal to]90 for male) and 342 geographically matched controls (age 22-53, mean 35.0+/-12.0) from Han Chinese. The VNTR polymorphism of the neck region was determined by PCR and genotype was called by separating the PCR products in agarose gel.
Results:
A total of 11 genotypes and 5 alleles were found in our population. The genotype distribution, allele frequencies and homozygote proportion did not show a significant difference between peri-centenarian and control group. As gender differences in lifespan are ubiquitously observed throughout the animal kingdom, we then stratified the samples by gender. There was more 6/7 genotypes in female peri-centenarian group than that in female control group, at a marginal level of significance (5.56 vs. 1.28%, p=0.041). The difference was not significant after correction by Bonferroni method. It suggests a possible differential effect of DC-SIGNR VNTR genotypes between sexes. Further studies are warranted to confirm our preliminary findings and investigate the mechanisms of the underlying functions.
Conclusions:
Our study indicated that there was absence of association between the neck region polymorphism of DC-SIGNR and longevity in Han Chinese population. But the question of whether the DC-SIGNR could affect longevity in a gender-specific pattern remains open.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/134</link>
                <dc:creator>Hui Li</dc:creator>
                <dc:creator>Cheng-Ye Wang</dc:creator>
                <dc:creator>Jia-Xin Wang</dc:creator>
                <dc:creator>Nelson Tang</dc:creator>
                <dc:creator>Liang Xie</dc:creator>
                <dc:creator>Yuan-Ying Gong</dc:creator>
                <dc:creator>Zhao Yang</dc:creator>
                <dc:creator>Liang-You Xu</dc:creator>
                <dc:creator>Qing-Peng Kong</dc:creator>
                <dc:creator>Ya-Ping Zhang</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:134</dc:source>
        <dc:date>2009-12-14T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-134</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>134</prism:startingPage>
        <prism:publicationDate>2009-12-14T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/133">
        <title>Evidence for an association of HLA-DRB1*15 and DRB1*09 with leprosy and the impact of DRB1*09 on disease onset in a Chinese Han population</title>
        <description>Background:
Human leukocyte antigens (HLAs) have been proposed to modulate the immune response to Mycobacterium leprae. The association of HLA-DRB1 with leprosy has been reported in several populations, but not in a Chinese population.
Methods:
The polymerase chain reaction-sequence-specific oligonucleotide probe with Luminex100 (PCR-SSOP-Luminex) method was used to genotype HLA-DRB1 alleles in 305 leprosy patients and 527 healthy control individuals.
Results:
The HLA-DRB1*15 allele was significantly more prevalent among leprosy patients than healthy controls, whereas the frequency of the HLA-DRB1*09 allele was lower among leprosy patients, especially those with early-onset disease.
Conclusions:
HLA-DRB1 alleles are associated with leprosy susceptibility in a Chinese population. The HLA-DRB1*09 allele was found to be protective exclusively in a subset of early-onset leprosy patients.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/133</link>
                <dc:creator>Furen Zhang</dc:creator>
                <dc:creator>Hong Liu</dc:creator>
                <dc:creator>Shumin Chen</dc:creator>
                <dc:creator>Changyuan Wang</dc:creator>
                <dc:creator>Chuanfu Zhu</dc:creator>
                <dc:creator>Lin Zhang</dc:creator>
                <dc:creator>Tongsheng Chu</dc:creator>
                <dc:creator>Dianchang Liu</dc:creator>
                <dc:creator>Xiaoxiao Yan</dc:creator>
                <dc:creator>Jianjun Liu</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:133</dc:source>
        <dc:date>2009-12-11T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-133</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>133</prism:startingPage>
        <prism:publicationDate>2009-12-11T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/132">
        <title>Association of ADAM33 gene polymorphisms with COPD in a northeastern Chinese population</title>
        <description>Background:
Chronic obstructive pulmonary disease (COPD) is influenced by both environmental and genetic factors. ADAM33 (a disintegrin and metalloproteinase 33) has been one of the most exciting candidate genes for asthma since its first association with the disease in Caucasian populations. Recently, ADAM33 was shown to be associated with excessive decline of lung function and COPD. The aim of this study was to evaluate the potential relationship between polymorphisms of ADAM33 and COPD in a Han population in northeastern China.
Methods:
A total of 312 COPD patients and a control group of 319 healthy volunteers were recruited for this study. Eight polymorphic loci (V4, T+1, T2, T1, S2, S1, Q-1, and F+1) of ADAM33 were selected for genotyping. Genotypes were determined by using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.
Results:
Statistically significant differences in the distributions of the T2G, T1G, S2C, and Q-1G alleles between patients and controls were observed (P&lt;0.001, odds ratio (OR)=2.81, 95% confidence interval (CI) = 2.19-3.61; P&lt;0.001, OR=2.60, 95% CI=2.06-3.30; P=0.03, OR=1.31, 95% CI=1.02-1.69; and P&lt;0.001, OR=1.93, 95% CI=1.50-2.50, respectively). Haplotype analysis showed that the frequencies of the CGGGGAGC, CGGGGAGT, CGGGCAGC, and CGGGGGGC haplotypes were significantly higher in the case group than in the control group (P=0.0002, 0.0001, 0.0005, and 0.0074, respectively). In contrast, the haplotype CGAAGAGC was more common in the control group than in the case group (P&lt;0.0001).
Conclusions:
These preliminary results suggest an association between ADAM33 polymorphisms and COPD in a Chinese Han population.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/132</link>
                <dc:creator>Xinyan Wang</dc:creator>
                <dc:creator>Lei Li</dc:creator>
                <dc:creator>Jinling Xiao</dc:creator>
                <dc:creator>Chengzhen Jin</dc:creator>
                <dc:creator>Kun Huang</dc:creator>
                <dc:creator>Xiaowen Kang</dc:creator>
                <dc:creator>Xiaomei Wu</dc:creator>
                <dc:creator>Fuzhen Lv</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:132</dc:source>
        <dc:date>2009-12-10T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-132</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>132</prism:startingPage>
        <prism:publicationDate>2009-12-10T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/131">
        <title>The common FTO variant rs9939609 is not associated with BMI in a longitudinal study on a cohort of Swedish men born 1920-1924</title>
        <description>Background:
Common FTO (fat mass and obesity associated) gene variants have recently been strongly associated with body mass index and obesity in several large studies. Here we set out to examine the association of the FTO variant rs9939609 with BMI in a 32 year follow up study of men born 1920-1924. Moreover, we analyzed the effect of physical activity on the different genotypes.
Methods:
The FTO rs9936609 was genotyped using an Illumina golden gate assay. BMI was calculated using standard methods and body fat was estimated by measuring skinfold thickness using a Harpenden caliper. Physical activity was assessed using a four question medical questionnaire.
Results:
FTO rs9939609 was genotyped in 1153 elderly Swedish men taking part of a population-based cohort study, the ULSAM cohort. The risk of obesity and differences in BMI according to genotype at the ages of 50, 60, 70, 77 and 82 were investigated. We found no increased risk of obesity and no association with BMI at any age with the FTO rs9939609 variant. We found however interaction between physical activity at the age of 50 years and genotype on BMI levels (p=0.039) and there was a clear trend towards larger BMI differences between the TT and AA carriers as well as between AT and AA carriers in the less physically active subjects.
Conclusion:
Here we found that the well established obesity risk allele for a common variant in FTO does not associate with increased BMI levels in a Swedish population of adult men which reached adulthood before the appearance of today&apos;s obesogenic enviroment. There is an interaction between physical activity and the effect of the FTO genotype on BMI levels suggesting that lack of physical activity is a requirement for an association of FTO gene variants to obesity.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/131</link>
                <dc:creator>Josefin Jacobsson</dc:creator>
                <dc:creator>Ulf Riserus</dc:creator>
                <dc:creator>Tomas Axelsson</dc:creator>
                <dc:creator>Lars Lannfelt</dc:creator>
                <dc:creator>Helgi Schioth</dc:creator>
                <dc:creator>Robert Fredriksson</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:131</dc:source>
        <dc:date>2009-12-09T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-131</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>131</prism:startingPage>
        <prism:publicationDate>2009-12-09T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/130">
        <title>Genetic variation of NEDD4L is associated with essential hypertension in female Kazakh general population: a case-control study</title>
        <description>Background:
Hypertension affects &gt; 18.8% of adults in China. Indeed, hypertension is the most prevalent risk factor for cardiovascular morbidity and mortality worldwide. Genetic variation is thought to contribute to the etiology of hypertension. NEDD4L is a candidate gene for hypertension, both functionally and genetically. The purpose of the current study was to investigate the relationship between the variation in NEDD4L and essential hypertension in Kazakh, which is a relatively isolated population with a pure genetic background and is an ideal population to study genetic mechanisms of hypertension.
Methods:
We screened the promoter and exons of NEDD4L in 94 Kazakh hypertensive individuals to identify representative variations. Then, by genotyping the representative variations in the Kazakh general population, a case-control study was conducted.
Results:
By systemically screening variations of NEDD4L, we did not identify any functional mutations in NEDD4L. A new common variation (296921-296923delTTG), which is not found in the NCBI database, was identified. Three representative variations (296921-296923delTTG, rs2288774, and rs2288775) were successfully genotyped in the Kazakh general population. The distribution of the dominant model (AA vs. AG+GG) of rs2288775, the additive model, and the recessive model (II+ID vs. DD) of 296921-296923delTTG differed significantly between the cases and controls in females (P=0.040, P=0.024, and P=0.007, respectively). After adjusting for confounding factors, logistic regression analysis showed that rs2288775 (in the dominant model) and 296921-296923delTTG (in the recessive model) were significantly associated with hypertension (rs2288775: OR=1.479, 95% CI = 1.011-2.064, p=0.044; and 296921-296923delTTG: OR=1.908, 95% CI = 1.020-3.568, p=0.043) in females. The frequency of the D-C-G haplotype was significantly higher for cases than for controls in females (P=0.020). There was a significant interaction between the NEDD4L genotype and gender (P for interaction: 0.045 for rs2288775 and 0.064 for 296921-296923delTTG), but there was no significant interaction between the NEDD4L genotype and smoking (P for interaction: 0.616 for rs2288775 and 0.447 for 296921-296923delTTG). For females and total participants, the urinary Na excretion rate was significantly lower in the DD than the I/I+I/D individuals (P=0.032 and P=0.027 respectively).
Conclusions:
The genetic variations of NEDD4L may be associated with essential hypertension in females in the Kazakh general population.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/130</link>
                <dc:creator>NanFang Li</dc:creator>
                <dc:creator>HongMei Wang</dc:creator>
                <dc:creator>Jin Yang</dc:creator>
                <dc:creator>Ling Zhou</dc:creator>
                <dc:creator>Jing Hong</dc:creator>
                <dc:creator>YanYing Guo</dc:creator>
                <dc:creator>WenLi Luo</dc:creator>
                <dc:creator>JianHang Chang</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:130</dc:source>
        <dc:date>2009-12-09T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-130</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>130</prism:startingPage>
        <prism:publicationDate>2009-12-09T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/129">
        <title>DYRK1A genetic variants are not linked to Alzheimer&apos;s disease in a Spanish case-control cohort </title>
        <description>Background:
As dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) has been implicated in the abnormal hyperphosphorylation of tau in Alzheimer&apos;s disease (AD) brain, and the development of neurofibrillary tangles, we examined the contribution of this gene to the susceptibility for AD.
Methods:
We examined genetic variations of DYRK1A by genotyping haplotype tagging SNPs (htSNPs) (rs11701483, rs2835740, rs1137600, rs2835761, rs2835762, rs2154545 and rs8132976) in a group of 634 Spanish AD cases and 733 controls.
Results:
There were no differences in the genotypic, allelic or haplotypic distributions between cases and controls in the overall analysis or after stratification by APOE 4 allele.
Conclusion:
Our negative findings in the Spanish population argue against the hypothesis that DYRK1A genetic variations are causally related to AD risk. Still, additional studies using different sets of patients and control subjects deserve further attention, since supporting evidence for association between DYRK1A gene and AD risk in the Japanese population exists.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/129</link>
                <dc:creator>Jose Vazquez-Higuera</dc:creator>
                <dc:creator>Pascual Sanchez-Juan</dc:creator>
                <dc:creator>Eloy Rodriguez-Rodriguez</dc:creator>
                <dc:creator>Ignacio Mateo</dc:creator>
                <dc:creator>Ana Pozueta</dc:creator>
                <dc:creator>Ana Frank</dc:creator>
                <dc:creator>Isabel Sastre</dc:creator>
                <dc:creator>Fernando Valdivieso</dc:creator>
                <dc:creator>Jose Berciano</dc:creator>
                <dc:creator>Maria Bullido</dc:creator>
                <dc:creator>Onofre Combarros</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:129</dc:source>
        <dc:date>2009-12-08T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-129</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>129</prism:startingPage>
        <prism:publicationDate>2009-12-08T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/128">
        <title>A pooling-based genome-wide analysis identifies new potential candidate genes for atopy in the European Community Respiratory Health Survey (ECRHS)</title>
        <description>Background:
Asthma and atopy are complex phenotypes with shared genetic component. In this study we attempt to identify genes related to these traits performing a two-stage DNA pooling genome-wide analysis in order to reduce costs. First, we assessed all markers in a subset of subjects using DNA pooling, and in a second stage we evaluated the most promising markers at an individual level.
Methods:
For the genome-wide analysis, we constructed DNA pools from 75 subjects with atopy and asthma, 75 subjects with atopy and without asthma and 75 control subjects without atopy or asthma. In a second stage, the most promising regions surrounding significant markers after correction for false discovery rate were replicated with individual genotyping of samples included in the pools and an additional set of 429 atopic subjects and 222 controls from the same study centres.
Results:
Homo sapiens protein kinase-like protein SgK493 (SGK493) was found to be associated with atopy. To lesser extent mitogen-activated protein kinase 5 (MAP3K5), collagen type XVIII alpha 1 (COL18A1) and collagen type XXIX alpha 1 (COL29A1) were also found to be associated with atopy. Functional evidences points out a role for MAP3K5, COL18A1 and COL29A1 but the function of SGK493 is unknown.
Conclusions:
In this analysis we have identified new candidate regions related to atopy and suggest SGK493 as an atopy locus, although these results need further replication.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/128</link>
                <dc:creator>Francesc Castro-Giner</dc:creator>
                <dc:creator>Mariona Bustamante</dc:creator>
                <dc:creator>Juan Ramon Gonzalez</dc:creator>
                <dc:creator>Manolis Kogevinas</dc:creator>
                <dc:creator>Deborah Jarvis</dc:creator>
                <dc:creator>Joachim Heinrich</dc:creator>
                <dc:creator>Josep-Maria Anto</dc:creator>
                <dc:creator>Matthias Wjst</dc:creator>
                <dc:creator>Xavier Estivill</dc:creator>
                <dc:creator>Rafael de Cid</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:128</dc:source>
        <dc:date>2009-12-06T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-128</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>128</prism:startingPage>
        <prism:publicationDate>2009-12-06T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2350/10/127">
        <title>Power of multifactor dimensionality reduction and penalized
logistic regression for detecting gene-gene interaction in a
case-control study</title>
        <description>Background:
There is a growing awareness that interaction between multiple genes play an important role in the risk of common, complex multi-factorial diseases. Many common diseases are affected by certain genotype combinations (associated with some genes and their interactions). The identification and characterization of these susceptibility genes and gene-gene interaction have been limited by small sample size and large number of potential interactions between genes. Several methods have been proposed to detect gene-gene interaction in a case control study. The penalized logistic regression (PLR), a variant of logistic regression with L2 regularization, is a parametric approach to detect gene-gene interaction. On the other hand, the Multifactor Dimensionality Reduction (MDR) is a nonparametric and genetic model-free approach to detect genotype combinations associated with disease risk.
Methods:
We compared the power of MDR and PLR for detecting two-way and three-way interactions in a case-control study through extensive simulations. We generated several interaction models with different magnitudes of interaction effect. For each model, we simulated 100 datasets, each with 200 cases and 200 controls and 20 SNPs. We considered a wide variety of models such as models with just main effects, models with only interaction effects or models with both main and interaction effects. We studied the effect of different allele frequencies on these methods. We also compared the performance of MDR and PLR to detect gene-gene interaction associated with acute rejection(AR) in kidney transplant patients.
Results:
As expected, none of these methods were consistently better for all data scenarios, but, generally MDR outperformed PLR for more complex models. The ROC analysis on the real dataset suggests that MDR outperforms PLR in detecting gene-gene interaction on the real dataset.
Conclusions:
As one might expect, the relative success of each method is context dependent. This study demonstrates the strengths and weaknesses of the methods to detect gene-gene interaction.</description>
        <link>http://www.biomedcentral.com/1471-2350/10/127</link>
                <dc:creator>Hua He</dc:creator>
                <dc:creator>William Oetting</dc:creator>
                <dc:creator>Marcia Brott</dc:creator>
                <dc:creator>Saonli Basu</dc:creator>
                <dc:source>BMC Medical Genetics 2009, 10:127</dc:source>
        <dc:date>2009-12-04T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2350-10-127</dc:identifier>
        <prism:publicationName>BMC Medical Genetics</prism:publicationName>
        <prism:issn>1471-2350</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>127</prism:startingPage>
        <prism:publicationDate>2009-12-04T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
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