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      Genome Wide Association Identifies PPFIA1 as a Candidate Gene for Acute Lung Injury Risk Following Major Trauma

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          Abstract

          Acute Lung Injury (ALI) is a syndrome with high associated mortality characterized by severe hypoxemia and pulmonary infiltrates in patients with critical illness. We conducted the first investigation to use the genome wide association (GWA) approach to identify putative risk variants for ALI. Genome wide genotyping was performed using the Illumina Human Quad 610 BeadChip. We performed a two-stage GWA study followed by a third stage of functional characterization. In the discovery phase (Phase 1), we compared 600 European American trauma-associated ALI cases with 2266 European American population-based controls. We carried forward the top 1% of single nucleotide polymorphisms (SNPs) at p<0.01 to a replication phase (Phase 2) comprised of a nested case-control design sample of 212 trauma-associated ALI cases and 283 at-risk trauma non-ALI controls from ongoing cohort studies. SNPs that replicated at the 0.05 level in Phase 2 were subject to functional validation (Phase 3) using expression quantitative trait loci (eQTL) analyses in stimulated B-lymphoblastoid cell lines (B-LCL) in family trios. 159 SNPs from the discovery phase replicated in Phase 2, including loci with prior evidence for a role in ALI pathogenesis. Functional evaluation of these replicated SNPs revealed rs471931 on 11q13.3 to exert a cis-regulatory effect on mRNA expression in the PPFIA1 gene (p = 0.0021). PPFIA1 encodes liprin alpha, a protein involved in cell adhesion, integrin expression, and cell-matrix interactions. This study supports the feasibility of future multi-center GWA investigations of ALI risk, and identifies PPFIA1 as a potential functional candidate ALI risk gene for future research.

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          A general test of association for quantitative traits in nuclear families.

          High-resolution mapping is an important step in the identification of complex disease genes. In outbred populations, linkage disequilibrium is expected to operate over short distances and could provide a powerful fine-mapping tool. Here we build on recently developed methods for linkage-disequilibrium mapping of quantitative traits to construct a general approach that can accommodate nuclear families of any size, with or without parental information. Variance components are used to construct a test that utilizes information from all available offspring but that is not biased in the presence of linkage or familiality. A permutation test is described for situations in which maximum-likelihood estimates of the variance components are biased. Simulation studies are used to investigate power and error rates of this approach and to highlight situations in which violations of multivariate normality assumptions warrant the permutation test. The relationship between power and the level of linkage disequilibrium for this test suggests that the method is well suited to the analysis of dense maps. The relationship between power and family structure is investigated, and these results are applicable to study design in complex disease, especially for late-onset conditions for which parents are usually not available. When parental genotypes are available, power does not depend greatly on the number of offspring in each family. Power decreases when parental genotypes are not available, but the loss in power is negligible when four or more offspring per family are genotyped. Finally, it is shown that, when siblings are available, the total number of genotypes required in order to achieve comparable power is smaller if parents are not genotyped.
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            Genomewide association studies and human disease.

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              Direct Activation of Protein Kinases by Unanchored Polyubiquitin Chains

              TRAF6 is a ubiquitin ligase essential for the activation of NF-κB and MAP kinases in multiple signaling pathways including those emanating from the interleukin-1 and Toll-like receptors (IL-1R/TLR)1-3. TRAF6 functions together with a ubiquitin-conjugating enzyme complex consisting of Ubc13 and Uev1A to catalyze Lys-63 (K63)-linked polyubiquitination, which activates the TAK1 kinase complex4,5. TAK1 in turn phosphorylates and activates IκB kinase (IKK), leading to activation of NF-κB. Although several proteins are known to be polyubiquitinated in the IL-1R/TLR pathways, it is not clear whether ubiquitination of any of these proteins is important for TAK1 or IKK activation. Herein, we reconstituted TAK1 activation in vitro using purified proteins and found that free K63 polyubiquitin chains, which are not conjugated to any target protein, directly activated TAK1 through binding to the ubiquitin receptor TAB2. This binding leads to autophosphorylation and activation of TAK1. We also found that unanchored polyubiquitin chains synthesized by TRAF6 and Ubc5 activated the IKK complex. Disassembly of the polyubiquitin chains by deubiquitination enzymes prevented TAK1 and IKK activation. These results indicate that unanchored polyubiquitin chains directly activate TAK1 and IKK, suggesting a novel mechanism of protein kinase regulation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                25 January 2012
                : 7
                : 1
                : e28268
                Affiliations
                [1 ]Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
                [2 ]Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
                [3 ]Division of Pulmonary and Critical Care Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, United States of America
                [4 ]Department of Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, United States of America
                [5 ]Division of Human Genetics, Center for Applied Genomics, The Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
                [6 ]Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
                [7 ]Department of Environmental Health, Harvard School of Public Health and Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
                [8 ]Cardiovascular Research Institute, Departments of Medicine and Anesthesia, University of California San Francisco, San Francisco, California, United States of America
                [9 ]Department of Surgery, University of California San Francisco, San Francisco, California, United States of America
                [10 ]Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
                [11 ]Division of Pulmonary, Allergy, and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
                [12 ]Department of Surgical Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
                [13 ]Division of Oncology, The Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
                [14 ]Division of Pulmonary and Critical Care Medicine, University of Colorado Health Sciences Center, Denver, Colorado, United States of America
                Johns Hopkins University, United States of America
                Author notes

                Conceived and designed the experiments: JDC MMW JB DCC RA HH. Performed the experiments: JDC JB CK MMW JA RA HH AKM. Analyzed the data: RF JB NJM JDC ML JA MMW HH. Contributed reagents/materials/analysis tools: JDC MMW GEO LBW DCC CSC MJC MM KCB JS PNL AKM RA JPM HH. Wrote the paper: JDC MMW DCC LBW CSC MM KCB JS JPM RA HH.

                Article
                PONE-D-10-06330
                10.1371/journal.pone.0028268
                3266233
                22295056
                966ba9ee-ed92-4b14-9111-b75fa3ad681a
                Christie et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 13 December 2010
                : 4 November 2011
                Page count
                Pages: 10
                Categories
                Research Article
                Biology
                Genetics
                Human Genetics
                Genomics
                Genome Analysis Tools
                Medicine
                Critical Care and Emergency Medicine
                Epidemiology
                Pulmonology

                Uncategorized
                Uncategorized

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