Showing papers by "Kazuo Hara published in 2016"
University of Tokyo1, Tokyo Medical University2, University of Copenhagen3, University of Pennsylvania4, National University of Singapore5, National Autonomous University of Mexico6, Shanghai Jiao Tong University7, Vanderbilt University8, Seoul National University9, Harvard University10, The Chinese University of Hong Kong11, Tokyo Medical and Dental University12, University of Toyama13, Wellcome Trust14, University of Cambridge15, Aalborg University16, Novo Nordisk17, Aarhus University18, University of Southern Denmark19, Polytechnic University of Catalonia20, Broad Institute21, Central University of Punjab22, Keio University23, Shiga University of Medical Science24, Kawasaki Medical School25, Juntendo University26, St. Marianna University School of Medicine27, Hallym University28, University of Oklahoma29, Seoul National University Hospital30, New Generation University College31, University of the Ryukyus32
TL;DR: A meta-analysis of GWAS for T2D in the Japanese population indicates that expansion of single ethnic GWAS is still useful to identify novel susceptibility loci to complex traits not only for ethnicity-specific loci but also for common loci across different ethnicities.
Abstract: Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery and subsequent validation analyses (23,399 T2D cases and 31,722 controls) identify 7 new loci with genome-wide significance (P<5 × 10−8), rs1116357 near CCDC85A, rs147538848 in FAM60A, rs1575972 near DMRTA1, rs9309245 near ASB3, rs67156297 near ATP8B2, rs7107784 near MIR4686 and rs67839313 near INAFM2. Of these, the association of 4 loci with T2D is replicated in multi-ethnic populations other than Japanese (up to 65,936 T2Ds and 158,030 controls, P<0.007). These results indicate that expansion of single ethnic GWAS is still useful to identify novel susceptibility loci to complex traits not only for ethnicity-specific loci but also for common loci across different ethnicities.
136 citations
TL;DR: Evaluated the feasibility and safety of endoscopic ultrasound‐guided antegrade treatments for BDS in patients with surgically altered anatomy as a multicenter retrospective cohort study.
Abstract: Background
Endoscopic retrograde cholangiopancreatography (ERCP) for management of bile duct stone (BDS) in patients with surgically altered anatomy is challenging even when applying enteroscopy. Endoscopic ultrasound-guided antegrade treatments (EUS-AG) for BDS have been developed but have not been well studied yet. The aim of the present study was to evaluate the feasibility and safety of EUS-AG for BDS in patients with surgically altered anatomy as a multicenter retrospective cohort study.
Methods
A retrospective database analysis was performed to identify patients with surgically altered anatomy who underwent EUS-AG for the management of BDS at four academic care centers. Basic characteristics of the patients and details of the procedures were determined and the success rates and adverse event rates were evaluated.
Results
EUS-AG for BDS was attempted in 29 patients. Successful BDS removal was achieved in 72% (21/29) of patients. Reasons for failed EUS-AG were unsuccessful bile duct puncture in six, unsuccessful guidewire manipulation in one, and unsuccessful stone removal using a retrieval balloon in one. Adverse events occurred in five (17%) but were successfully managed conservatively.
Conclusion
EUS-AG for BDS is a feasible and safe alternative in patients with surgically altered anatomy, although further evaluation and development of dedicated devices are needed.
73 citations
University of Oxford1, Wellcome Trust Centre for Human Genetics2, University of Michigan3, Wellcome Trust Sanger Institute4, University of Tokyo5, University of Cambridge6, Ealing Hospital7, Boston University8, Harvard University9, Institute of Genomics and Integrative Biology10, Broad Institute11, Centre national de la recherche scientifique12, University of Texas Health Science Center at Houston13, University of North Carolina at Chapel Hill14, University of Chicago15, Texas Biomedical Research Institute16, Systems Research Institute17, University of California, San Francisco18, Albert Einstein College of Medicine19, University of Haifa20, The Chinese University of Hong Kong21, University of Mississippi Medical Center22, Jawaharlal Nehru University23, Hallym University24, Seoul National University25, National Institutes of Health26, Imperial College Healthcare27, University of Pennsylvania28, National University of Singapore29, Vanderbilt University30, Beta31, Imperial College London32, Life Sciences Institute33, University of Liverpool34
TL;DR: Transancestral fine-mapping data is undertook in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent to provide insight into the mechanisms through which type 2 diabetes association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci.
Abstract: To gain insight into potential regulatory mechanisms through which the effects of variants at four established type 2 diabetes (T2D) susceptibility loci (CDKAL1, CDKN2A-B, IGF2BP2 and KCNQ1) are mediated, we undertook transancestral fine-mapping in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent. Through high-density imputation and conditional analyses, we identified seven distinct association signals at these four loci, each with allelic effects on T2D susceptibility that were homogenous across ancestry groups. By leveraging differences in the structure of linkage disequilibrium between diverse populations, and increased sample size, we localised the variants most likely to drive each distinct association signal. We demonstrated that integration of these genetic fine-mapping data with genomic annotation can highlight potential causal regulatory elements in T2D-relevant tissues. These analyses provide insight into the mechanisms through which T2D association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci.
23 citations