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      Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases

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          Genome-wide association study identifies eight new susceptibility loci for atopic dermatitis in the Japanese population.

          Atopic dermatitis is a common inflammatory skin disease caused by interaction of genetic and environmental factors. On the basis of data from a genome-wide association study (GWAS) and a validation study comprising a total of 3,328 subjects with atopic dermatitis and 14,992 controls in the Japanese population, we report here 8 new susceptibility loci: IL1RL1-IL18R1-IL18RAP (P(combined) = 8.36 × 10(-18)), the major histocompatibility complex (MHC) region (P = 8.38 × 10(-20)), OR10A3-NLRP10 (P = 1.54 × 10(-22)), GLB1 (P = 2.77 × 10(-16)), CCDC80 (P = 1.56 × 10(-19)), CARD11 (P = 7.83 × 10(-9)), ZNF365 (P = 5.85 × 10(-20)) and CYP24A1-PFDN4 (P = 1.65 × 10(-8)). We also replicated the associations of the FLG, C11orf30, TMEM232-SLC25A46, TNFRSF6B-ZGPAT, OVOL1, ACTL9 and KIF3A-IL13 loci that were previously reported in GWAS of European and Chinese individuals and a meta-analysis of GWAS for atopic dermatitis. These findings advance the understanding of the genetic basis of atopic dermatitis.
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            CD14: cell surface receptor and differentiation marker.

            In the past, CD14 has been viewed simply as a useful marker molecule for monocytes and macrophages. Now, new findings on its role in binding of LPS-LBP complexes and in signal transduction have engendered renewed interest in the properties of CD14. Here, CD14 function, its expression in different cell types and the regulation of expression, including the generation of soluble CD14, are described, and the diagnostic value of CD14 in various diseases is discussed.
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              A genome-wide association study identifies two novel susceptibility loci and trans population polygenicity associated with bipolar disorder

              Genome-wide association studies (GWASs) have identified several susceptibility loci for bipolar disorder (BD) and shown that the genetic architecture of BD can be explained by polygenicity, with numerous variants contributing to BD. In the present GWAS (Phase I/II), which included 2964 BD and 61 887 control subjects from the Japanese population, we detected a novel susceptibility locus at 11q12.2 (rs28456, P=6.4 × 10−9), a region known to contain regulatory genes for plasma lipid levels (FADS1/2/3). A subsequent meta-analysis of Phase I/II and the Psychiatric GWAS Consortium for BD (PGC-BD) identified another novel BD gene, NFIX (P best=5.8 × 10−10), and supported three regions previously implicated in BD susceptibility: MAD1L1 (P best=1.9 × 10−9), TRANK1 (P best=2.1 × 10−9) and ODZ4 (P best=3.3 × 10−9). Polygenicity of BD within Japanese and trans-European-Japanese populations was assessed with risk profile score analysis. We detected higher scores in BD cases both within (Phase I/II) and across populations (Phase I/II and PGC-BD). These were defined by (1) Phase II as discovery and Phase I as target, or vice versa (for ‘within Japanese comparisons’, P best~10−29, R 2~2%), and (2) European PGC-BD as discovery and Japanese BD (Phase I/II) as target (for ‘trans-European-Japanese comparison,’ P best~10−13, R 2~0.27%). This ‘trans population’ effect was supported by estimation of the genetic correlation using the effect size based on each population (liability estimates~0.7). These results indicate that (1) two novel and three previously implicated loci are significantly associated with BD and that (2) BD ‘risk’ effect are shared between Japanese and European populations.
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                Author and article information

                Journal
                Nature Genetics
                Nat Genet
                Springer Nature
                1061-4036
                1546-1718
                February 5 2018
                :
                :
                Article
                10.1038/s41588-018-0047-6
                29403010
                31864896-b33b-4373-a749-206da6fe57c1
                © 2018
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