A Genome-wide Linkage Analysis and Mutation Analysis of Hereditary Congenital Blepharoptosis in a Japanese Family

Hereditary congenital ptosis (PTOS) is defined as drooping of the upper eyelid without any other accompanying symptoms and distinguished from syndromic blepharoptosis.Two previous linkage analyses assigned a PTOS locus (PTOS1) to 1p32-p34.1 and another (PTOS2) to Xq24-q27.1. In addition, in a sporadic case with a balanced chromosomal translocation t(1;8)(p34.3;q21.12), the ZFHX4 (zinc finger homeodomain 4) gene was found to be disrupted at the 8q21.12 breakpoint, but there was no gene at the 1p34.3 breakpoint, suggesting the existence of the third PTOS locus (PTOS1) at 8q21.12. We carried out a genome-wide linkage analysis in a Japanese PTOS family and calculated two-point and multipoint LOD scores with reduced penetrance. Haplotype analysis gave three candidate disease-responsible regions, i.e., 8q21.11-q22.1, 12q24.32-q24.33 and 14q21.1-q23.2. Although the family size is too small to define one of them, 8q21.11-q22.1 is a likely candidate region, because it contains the previously reported translocation breakpoint above. We thus performed mutation, Southern-blot and methylation analyses of ZFHX4, but could not find any disease specific change in the family. Nevertheless, our data may support the localization of PTOS1.長崎大学学位論文 学位記番号:博（医歯薬）甲第153号 博士（医学）学位授与年月日:平成20年3月19

Time for T? Immunoinformatics addresses the challenges of vaccine design for neglected tropical and emerging infectious diseases

Vaccines have been invaluable for global health, saving lives and reducing healthcare costs, while also raising the quality of human life. However, newly emerging infectious diseases (EID) and more well-established tropical disease pathogens present complex challenges to vaccine developers; in particular, neglected tropical diseases, which are most prevalent among the world’s poorest, include many pathogens with large sizes, multistage life cycles and a variety of nonhuman vectors. EID such as MERS-CoV and H7N9 are highly pathogenic for humans. For many of these pathogens, while their genomes are available, immune correlates of protection are currently unknown. These complexities make developing vaccines for EID and neglected tropical diseases all the more difficult. In this review, we describe the implementation of an immunoinformatics-driven approach to systematically search for key determinants of immunity in newly available genome sequence data and design vaccines. This approach holds promise for the development of 21st century vaccines, improving human health everywhere

Pan-cancer analysis of whole genomes

Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

Stroke genetics informs drug discovery and risk prediction across ancestries

Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries

Association and Expression Study of PRKCH Gene in a French Caucasian Population with Rheumatoid Arthritis

We study the association between three protein kinase C, eta gene polymorphisms (+8134C/T, rs912620, rs959728), and susceptibility to rheumatoid arthritis. One hundred French Caucasian rheumatoid arthritis trio families were genotyped. Relative quantification of protein kinase C, eta mRNA expression was performed from whole blood in 24 unrelated rheumatoid arthritis patients and in 16 healthy controls. Our results showed no significant association or linkage between the protein kinase C, eta polymorphisms, and rheumatoid arthritis. The protein kinase C, eta mRNA was expressed at lower level in rheumatoid arthritis unrelated patients than in healthy controls. This study shows that protein kinase C, eta gene is not a Rheumatoid Arthritis major susceptibility genetic factor in the French Caucasian population. Furthermore, the lower expression of this gene in rheumatoid arthritis patients comparing to healthy controls suggests that protein kinase C, eta could be associated with the patho-physiologic mechanism of rheumatoid arthritis

Homozygosity mapping of Hallervorden-Spatz syndrome to chromosome 20p12.3-p13.

Hallervorden-Spatz syndrome (HSS) (OMIMJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.info:eu-repo/semantics/publishe