Publications by authors named "Hiroyuki Enoki"

Aim: This study aimed to identify subgroups of alcohol use disorder (AUD) based on a multidimensional combination of alexithymia, depression, and diverse drinking behavior.

Method: We recruited 176 patients with AUD, which were initially divided into non-alexithymic (n = 130) and alexithymic (n = 46) groups using a cutoff score of 61 on the Toronto Alexithymia Scale (TAS-20). Subsequently, the profiles of the two groups were compared.

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The genetic dissection of agronomically important traits in closely related Japanese rice cultivars is still in its infancy mainly because of the narrow genetic diversity within rice cultivars. In an attempt to unveil potential polymorphism between closely related Japanese rice cultivars, we used a next-generation-sequencing-based genotyping method: genotyping by random amplicon sequencing-direct (GRAS-Di) to develop genetic linkage maps. In this study, four recombinant inbred line (RIL) populations and their parents were used.

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Although screening tools are available for alcohol use disorders (AUD), such as the Alcohol Use Disorders Identification Test (AUDIT), these tools do not directly characterize individual drinking behavior for patients with AUD. Therefore, the aim of this study was to develop a new self-report questionnaire to identify the characteristics of drinking behavior patterns in patients with AUD.The study team developed a self-administered 20-item questionnaire for drinking behavior pattern (DBP-20) based on semi-structured interviews of patients with AUD.

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Article Synopsis
  • Skim sequencing methods offer cost-effective benefits for analyzing the complex genomes of Triticeae species by detecting genetic markers and creating linkage maps.
  • Researchers developed a high-density linkage map for Aegilops tauschii using the GRAS-Di system, which helps simplify its large genome and generate numerous genetic markers.
  • Key findings include stable QTLs linked to traits like flowering time and spikelet shape, with one flowering time QTL closely associated with the VRN3 gene, highlighting GRAS-Di's efficiency in research on large genomes.
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This study aims to examine the effects of multidimensional attitudes towards ambiguity on subclinical depression and anxiety in healthy individuals. Attitudes Towards Ambiguity Scale, consisting of four clusters (enjoyment, anxiety, exclusion, and noninterference), Self-Rating Depression Scale, and State-Trait Anxiety Inventory-trait version were administered to 1019 Japanese volunteers. The result of a regression analysis suggested that the score of Attitudes Towards Ambiguity Scale-enjoyment factor significantly contributed to the Self-Rating Depression Scale score while that of Attitudes Towards Ambiguity Scale-anxiety factor significantly contributed to the State-Trait Anxiety Inventory-trait score.

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Multi-dimensional structure of the Attitudes Towards Ambiguity Scale (ATAS: original Japanese version) and its relationship with the Acceptance and Action Questionnaire (AAQ) were investigated. We administered the ATAS and the Japanese version of the AAQ to 1019 Japanese healthy volunteers (513 females and 506 males; age range 18-78 years). Trial of exploratory factor analysis extracted four distinct clusters (Enjoyment; α = .

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To evaluate the potential of genomic selection (GS), a selection experiment with GS and phenotypic selection (PS) was performed in an allogamous crop, common buckwheat ( Moench). To indirectly select for seed yield per unit area, which cannot be measured on a single-plant basis, a selection index was constructed from seven agro-morphological traits measurable on a single plant basis. Over 3 years, we performed two GS and one PS cycles per year for improvement in the selection index.

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The awn is a long needle-like structure formed at the tip of the lemma in the florets of some grass species. It plays a role in seed dispersal and protection against animals, and can contribute to the photosynthetic activity of spikes. Three main dominant inhibitors of awn development (Hd, B1 and B2) are known in hexaploid wheat, but the causal genes have not been cloned yet and a genetic association with awn length diversity has been found only for the B1 allele.

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For genetic studies and genomics-assisted breeding, particularly of minor crops, a genotyping system that does not require a priori genomic information is preferable. Here, we demonstrated the potential of a novel array-based genotyping system for the rapid construction of high-density linkage map and quantitative trait loci (QTL) mapping. By using the system, we successfully constructed an accurate, high-density linkage map for common buckwheat (Fagopyrum esculentum Moench); the map was composed of 756 loci and included 8,884 markers.

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The large genome and allohexaploidy of common wheat have complicated construction of a high-density genetic map. Although improvements in the throughput of next-generation sequencing (NGS) technologies have made it possible to obtain a large amount of genotyping data for an entire mapping population by direct sequencing, including hexaploid wheat, a significant number of missing data points are often apparent due to the low coverage of sequencing. In the present study, a microarray-based polymorphism detection system was developed using NGS data obtained from complexity-reduced genomic DNA of two common wheat cultivars, Chinese Spring (CS) and Mironovskaya 808.

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