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  1. Agus Salim M.B., Malina, O., Hisanaga, N., Hirata M , Zainul Abidin
    MyJurnal
    Exposure to organic solvent during work activities has been known to be associated with significant clinical conditions such as peripheral neuropathy and neurobehavioral changes. Three reported cases of peripheral neuropathy most likely due to exposure to chronic organic solvent were reported recently in Bentong Malaysia. These cases showed a compatible clinical history, occupational history, examination and neurological study that link with peripheral neuropathy due to organic solvent poisoning. Proper education and training with review of engineering control measures are among preventive and corrective measures recommended. More comprehensive study in order to establish significant causal-effect relationship as documented evidence is recommended.
  2. Higashino A, Sakate R, Kameoka Y, Takahashi I, Hirata M, Tanuma R, et al.
    Genome Biol, 2012;13(7):R58.
    PMID: 22747675 DOI: 10.1186/gb-2012-13-7-r58
    The genetic background of the cynomolgus macaque (Macaca fascicularis) is made complex by the high genetic diversity, population structure, and gene introgression from the closely related rhesus macaque (Macaca mulatta). Herein we report the whole-genome sequence of a Malaysian cynomolgus macaque male with more than 40-fold coverage, which was determined using a resequencing method based on the Indian rhesus macaque genome.
  3. Sakaue S, Hirata J, Kanai M, Suzuki K, Akiyama M, Lai Too C, et al.
    Nat Commun, 2020 03 26;11(1):1569.
    PMID: 32218440 DOI: 10.1038/s41467-020-15194-z
    The diversity in our genome is crucial to understanding the demographic history of worldwide populations. However, we have yet to know whether subtle genetic differences within a population can be disentangled, or whether they have an impact on complex traits. Here we apply dimensionality reduction methods (PCA, t-SNE, PCA-t-SNE, UMAP, and PCA-UMAP) to biobank-derived genomic data of a Japanese population (n = 169,719). Dimensionality reduction reveals fine-scale population structure, conspicuously differentiating adjacent insular subpopulations. We further enluciate the demographic landscape of these Japanese subpopulations using population genetics analyses. Finally, we perform phenome-wide polygenic risk score (PRS) analyses on 67 complex traits. Differences in PRS between the deconvoluted subpopulations are not always concordant with those in the observed phenotypes, suggesting that the PRS differences might reflect biases from the uncorrected structure, in a trait-dependent manner. This study suggests that such an uncorrected structure can be a potential pitfall in the clinical application of PRS.
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