303 research outputs found

    Case-control genome-wide association study of rheumatoid arthritis from Genetic Analysis Workshop 16 using penalized orthogonal-components regression-linear discriminant analysis

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    Currently, genome-wide association studies (GWAS) are conducted by collecting a massive number of SNPs (i.e., large p) for a relatively small number of individuals (i.e., small n) and associations are made between clinical phenotypes and genetic variation one single-nucleotide polymorphism (SNP) at a time. Univariate association approaches like this ignore the linkage disequilibrium between SNPs in regions of low recombination. This results in a low reliability of candidate gene identification. Here we propose to improve the case-control GWAS approach by implementing linear discriminant analysis (LDA) through a penalized orthogonal-components regression (POCRE), a newly developed variable selection method for large p small n data. The proposed POCRE-LDA method was applied to the Genetic Analysis Workshop 16 case-control data for rheumatoid arthritis (RA). In addition to the two regions on chromosomes 6 and 9 previously associated with RA by GWAS, we identified SNPs on chromosomes 10 and 18 as potential candidates for further investigation

    Genome-wide association analysis of GAW17 data using an empirical Bayes variable selection

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    Next-generation sequencing technologies enable us to explore rare functional variants. However, most current statistical techniques are too underpowered to capture signals of rare variants in genome-wide association studies. We propose a supervised coalescing of single-nucleotide polymorphisms to obtain gene-based markers that can stably reveal possible genetic effects related to rare alleles. We use a newly developed empirical Bayes variable selection algorithm to identify associations between studied traits and genetic markers. Using our novel method, we analyzed the three continuous phenotypes in the GAW17 data set across 200 replicates, with intriguing results

    Quantitative Serum Glycomics of Esophageal Adenocarcinoma, and Other Esophageal Disease Onsets

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    Aberrant glycosylation has been implicated in various types of cancers and changes in glycosylation may be associated with signaling pathways during malignant transformation. Glycomic profiling of blood serum, in which cancer cell proteins or their fragments with altered glycosylation patterns are shed, could reveal the altered glycosylation. We performed glycomic profiling of serum from patients with no known disease (N=18), patients with high grade dysplasia (HGD, N=11) and Barrett’s (N=5), and patients with esophageal adenocarcinoma (EAC, N=50) in an attempt to delineate distinct differences in glycosylation between these groups. The relative intensities of 98 features were significantly different among the disease onsets; 26 of these correspond to known glycan structures. The changes in the relative intensities of three of the known glycan structures predicted esophageal adenocarcinoma with 94% sensitivity and better than 60% specificity as determined by receiver operating characteristic (ROC) analysis. We have demonstrated that comparative glycomic profiling of EAC reveals a subset of glycans that can be selected as candidate biomarkers. These markers can differentiate disease-free from HGD, disease-free from EAC, and HGD from EAC. The clinical utility of these glycan biomarkers requires further validation

    Genome-wide case-control study in GAW17 using coalesced rare variants

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    Genome-wide association studies have successfully identified numerous loci at which common variants influence disease risks or quantitative traits of interest. Despite these successes, the variants identified by these studies have generally explained only a small fraction of the variations in the phenotype. One explanation may be that many rare variants that are not included in the common genotyping platforms may contribute substantially to the genetic variations of the diseases. Next-generation sequencing, which would better allow for the analysis of rare variants, is now becoming available and affordable; however, the presence of a large number of rare variants challenges the statistical endeavor to stably identify these disease-causing genetic variants. We conduct a genome-wide association study of Genetic Analysis Workshop 17 case-control data produced by the next-generation sequencing technique and propose that collapsing rare variants within each genetic region through a supervised dimension reduction algorithm leads to several macrovariants constructed for rare variants within each genetic region. A simultaneous association of the phenotype to all common variants and macrovariants is undertaken using a linear discriminant analysis using the penalized orthogonal-components regression algorithm. The results suggest that the proposed analysis strategy shows promise but needs further development

    Optofluidic phantom mimicking optical properties of porcine livers

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    One strategy for assessing efficacy of a liver transplant is to monitor perfusion and oxygenation after transplantation. An implantable optical sensor is being developed to overcome inadequacies of current monitoring approaches. To facilitate sensor design while minimizing animal use, a polydimethylsiloxane (PDMS)-based liver phantom was developed to mimic the optical properties of porcine liver in the 630-1000 nm wavelength range and the anatomical geometry of liver parenchyma. Using soft lithography to construct microfluidic channels in pigmented elastomer enabled the 2D approximation of hexagonal liver lobules with 15mm sinusoidal channels, which will allow perfusion with blood-mimicking fluids to facilitate the development of the liver perfusion and oxygenation monitoring system

    Hepatic Sarcoidosis Mimicking Hilar Cholangiocarcinoma: Case Report and Review of the Literature

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    Sarcoidosis is a multisystemic granulomatous disease of unknown etiology. Hepatic involvement was reported in about 11% of patients with sarcoidosis. However, cases of sarcoidosis in which the granuloma is solitary and limited in the liver are very rare. A 51-year-old woman with tumors in the liver underwent extended left lobectomy with caudate lobectomy and bile duct resection. The tumor was located between segment 4 and the hilar region. Some daughter nodules were found in the left lobe, which were regarded as intrahepatic metastasis. Our case displayed clinical and radiologically distinct findings, which are very similar to those of hilar cholangiocarcinoma restricted to the liver. This report demonstrates that sarcoidosis can show solitary hepatic involvement in the absence of thoracic lymphadenopathy. In such a case, it is difficult to distinguish the diagnosis from other malignant neoplasms. In conclusion, the diagnosis of hepatic sarcoidosis has to be made through prudent and comprehensive investigations that include a full clinical history of sarcoidosis in other organs. Despite utilizing several detailed diagnostic modalities, the definitive diagnosis of cases of solitary sarcoidosis may remain difficult. In these cases, surgical treatment including liver resection should be considered in order to avoid missing a suitable opportunity for treatment

    The effect of smoking on biliary complications following liver transplantation

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    We sought to estimate the effect of smoking on the biliary complication rate following orthotopic liver transplantation. We retrospectively evaluated the records of liver transplant recipients at our center from July 1, 1999 to October 26, 2007. Using Cox proportional hazards models, we estimated the time to the earliest biliary complication (leak or stricture) based on smoking exposure, as active, former, or lifetime nonsmoker, adjusting for other clinical factors. Overall, 409 liver transplant recipients were evaluated. The overall biliary complication rate was 37.7% ( n  = 154). Biliary complications included 66 anastomotic leaks, 60 anastomotic strictures, and 28 nonanastomotic lesions. ERCP was the primary diagnostic modality ( n  = 112). 18.1% of liver transplant recipients were active smokers ( n  = 74) and 42.8% were former smokers ( n  = 175). Active smokers were at greatest risk for biliary complications on unadjusted analysis ( P  = 0.022). After multivariable adjustment, active smokers had a 92% higher rate of biliary complication rates compared with lifetime nonsmokers (HR 1.92, 95% CI 1.07–3.43), but no difference was noted in the rate of complication resolution. Smoking clearly portends a significant risk of biliary complications following liver transplantation. Smoking status should be clearly defined when evaluating transplant candidacy and in counseling patients with cirrhosis.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79331/1/j.1432-2277.2010.01146.x.pd
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