Shiro Maeda focuses on Genetics, Genome-wide association study, Type 2 diabetes, Genetic association and Single-nucleotide polymorphism. His Genetics research focuses on CDKAL1, Locus, Polymorphism, Genotype and Allele. His research in Genome-wide association study intersects with topics in Case-control study and Missing heritability problem.
His Type 2 diabetes study results in a more complete grasp of Diabetes mellitus. His Diabetes mellitus study combines topics in areas such as Internal medicine and Gene, Genetic predisposition. Shiro Maeda has researched Genetic association in several fields, including Kidney disease, Renal function, Genetic epidemiology, Creatinine and Kidney.
Shiro Maeda mostly deals with Genetics, Type 2 diabetes, Single-nucleotide polymorphism, Genome-wide association study and Internal medicine. Genetic association, Locus, Gene, Polymorphism and Genetic variation are among the areas of Genetics where the researcher is concentrating his efforts. The subject of his Type 2 diabetes research is within the realm of Diabetes mellitus.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Odds ratio and Allele, Haplotype. His Genome-wide association study research is multidisciplinary, relying on both Body mass index, Case-control study, Genetic predisposition and Bioinformatics. The Internal medicine study combines topics in areas such as Endocrinology and Exon.
Shiro Maeda spends much of his time researching Genome-wide association study, Type 2 diabetes, Genetic association, Diabetes mellitus and Internal medicine. His Genome-wide association study research incorporates themes from Diabetic retinopathy and Case-control study. The Type 2 diabetes study which covers Bioinformatics that intersects with Disease and Diabetic kidney.
Shiro Maeda is exploring Genetic association as part of his Genetics and Single-nucleotide polymorphism and Genetic association studies. His study in the field of Locus, Gene, Polymorphism and Genotype is also linked to topics like Missense mutation. His Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology and Allele.
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below.
Nature Genetics (2014)
SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations
Hiroyuki Unoki;Atsushi Takahashi;Takahisa Kawaguchi;Kazuo Hara.
Nature Genetics (2008)
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians
Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long.
Nature Genetics (2012)
Amelioration of accelerated diabetic mesangial expansion by treatment with a PKC β inhibitor in diabetic db/db mice, a rodent model for type 2 diabetes
Daisuke Koya;Masakazu Haneda;Hiroko Nakagawa;Keiji Isshiki.
The FASEB Journal (2000)
Meta-analysis identifies common variants associated with body mass index in east Asians
Wanqing Wen;Yoon Shin Cho;Wei Zheng;Rajkumar Dorajoo;Rajkumar Dorajoo.
Nature Genetics (2012)
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu.
Nature Communications (2016)
Association of CDKAL1, IGF2BP2, CDKN2A/B, HHEX , SLC30A8, and KCNJ11 With Susceptibility to Type 2 Diabetes in a Japanese Population
Shintaro Omori;Yasushi Tanaka;Atsushi Takahashi;Hiroshi Hirose.
A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B
Toshimasa Yamauchi;Kazuo Hara;Shiro Maeda;Kazuki Yasuda.
Nature Genetics (2010)
Thiazolidinedione compounds ameliorate glomerular dysfunction independent of their insulin-sensitizing action in diabetic rats.
Keiji Isshiki;Masakazu Haneda;Daisuke Koya;Shiro Maeda.
Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations
Y. Okada;X. Sim;X. Sim;M. J. Go;J. Y. Wu;J. Y. Wu.
Nature Genetics (2012)
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