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Takao Suzuki

Publications -  8
Citations -  734

Takao Suzuki is an academic researcher. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 5, co-authored 8 publications receiving 277 citations.

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A cross-population atlas of genetic associations for 220 human phenotypes

TL;DR: In this paper, the authors conducted 220 deep-phenotype genome-wide association studies (diseases, biomarkers and medication usage) in BioBank Japan (n = 179,000), by incorporating past medical history and text-mining of electronic medical records.
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Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases

Kazuyoshi Ishigaki, +99 more
- 08 Jun 2020 - 
TL;DR: A large-scale genome-wide association study in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.
Journal ArticleDOI

Association of VKORC1 and CYP2C9 polymorphisms with warfarin dose requirements in Japanese patients

TL;DR: Analysis of the combination of VKORC1 and CYP2C9 genotypes should identify warfarin-sensitive patients who require a lower dose of drug, allowing personalized warfarIn treatment.
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High-resolution SNP and haplotype maps of the human gamma-glutamyl carboxylase gene (GGCX) and association study between polymorphisms in GGCX and the warfarin maintenance dose requirement of the Japanese population.

TL;DR: A high-resolution single nucleotide polymorphism (SNP) and haplotype maps of an 18-kb genomic region corresponding to the GGCX locus in the Japanese population are reported to provide a useful resource for further elucidating this association.
Posted ContentDOI

A global atlas of genetic associations of 220 deep phenotypes

TL;DR: This study conducted 220 deep-phenotype GWASs in BioBank Japan, and performed statistical decomposition of matrices of phenome-wide summary statistics, and identified the latent genetic components, which pinpointed the responsible variants and shared biological mechanisms underlying current disease classifications across populations.