Publications by authors named "Gen Tamiya"

Purpose: The purpose of this study was to investigate biologically meaningful endotypes of open-angle glaucoma (OAG) by applying unsupervised machine learning to plasma metabolites.

Methods: This retrospective longitudinal cohort study enrolled consecutive patients aged ≥20 years with OAG at Tohoku University Hospital from January 2017 to January 2020. OAG was confirmed based on comprehensive ophthalmic examinations.

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Conotruncal heart defects are severe congenital malformations of the outflow tract, including truncus arteriosus (TA) and double-outlet right ventricle (DORV). TA is a severe congenital heart disease (CHD) in which the main arterial outflow tract of the heart fails to separate. We recently reported TMEM260 (NM_017799.

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  • * In a study of 53 pediatric patients, 22.6% were diagnosed with genetic disorders related to thrombocytopenia, with some having family histories of the condition.
  • * The study found significant genetic variants in patients, emphasizing the need for comprehensive testing to guide treatment decisions and monitor long-term health, especially as these patients may have a higher risk for malignancies.
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Aim: Genome-wide association studies (GWAS) of postpartum depression (PPD) based on accumulated cohorts with multiple ethnic backgrounds have failed to identify significantly associated loci. Herein, we conducted a GWAS of Japanese perinatal women along with detailed confounding information to uncover PPD-associated loci.

Methods: The first and second cohorts (n = 9260 and n = 8582 perinatal women enrolled in the Tohoku Medical Megabank Project) and the third cohort (n = 997), recruited at Nagoya University, underwent genotyping.

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  • - The study aimed to explore how genetic risk, healthy lifestyle habits, and susceptibility to hyperuricaemia (high uric acid levels) are interconnected in a group of over 7,200 participants aged 20 and above.
  • - Results showed that 3% of participants developed hyperuricaemia over 3.5 years, with those having both high genetic risk and poor lifestyle choices significantly more likely to develop the condition (odds ratio: 5.34).
  • - The findings suggest that maintaining a healthy lifestyle can lower the risk of hyperuricaemia despite genetic predispositions, indicating that both genetic and lifestyle factors are important for identifying individuals at risk.
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Whether all obesity-related variants contribute to the onset of obesity or one or a few variants cause obesity in genetically heterogeneous populations remains obscure. Here, we investigated the genetic architecture of obesity by clustering the Japanese and British populations with obesity using obesity-related factors. In Step-1, we conducted a genome-wide association study (GWAS) with body mass index (BMI) as the outcome for eligible participants.

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  • This text discusses the development of a machine learning model aimed at consistently classifying individuals with type 2 diabetes into specific subtypes based on Ahlqvist's classification, which is important for tailoring treatment strategies.
  • The model was tested using data from two cohorts: one with 619 Japanese individuals for training and testing, and another with 597 individuals for external validation, employing a random forest algorithm with 15 variables.
  • The results showed high accuracy, with a 94% success rate in predicting diabetes subtypes, indicating the model's strong potential for clinical application despite some inconsistencies in Ahlqvist's method over time.
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  • The study aimed to evaluate the effectiveness of genetic risk estimation in identifying primary open-angle glaucoma (POAG) among Japanese individuals through a cross-sectional analysis involving 3,625 participants.
  • Genetic risk scores (GRSs) were developed based on a genome-wide association study, with the best-performing GRS comprising 98 significant variants showing strong predictive accuracy for POAG.
  • Results indicated that individuals in the top 10% of GRS had a substantially higher likelihood of having POAG compared to those in the lowest 10%, highlighting the potential of GRS as a tool for glaucoma risk assessment in this population.*
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No study, to our knowledge, has constructed a polygenic risk score based on clinical blood pressure and investigated the association of genetic and lifestyle risks with home hypertension. We examined the associations of combined genetic and lifestyle risks with hypertension and home hypertension. In a cross-sectional study of 7027 Japanese individuals aged ≥20 years, we developed a lifestyle score based on body mass index, alcohol consumption, physical activity, and sodium-to-potassium ratio, categorized into ideal, intermediate, and poor lifestyles.

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  • The study assessed how genetic risk factors and lifestyle choices influence the likelihood of developing diabetes in a group of over 11,000 individuals aged 20 and older.
  • Results showed that both genetic risk and lifestyle played significant roles in diabetes development, with an increased risk for those with low genetic risk but poor lifestyle habits.
  • The findings emphasize the importance of maintaining a healthy lifestyle for diabetes prevention, regardless of genetic predisposition, and suggest that genetic data can enhance risk stratification beyond lifestyle and family history.
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  • Type 2 diabetes (T2D) exhibits varying sensitivity to body mass index (BMI), and research was conducted to optimize disease predictions by stratifying data based on BMI from over 195,000 individuals.
  • The study found that T2D heritability was higher in low-BMI individuals compared to those with high-BMI, and polygenic predictions for low-BMI groups were significantly more accurate than predictions for unstratified populations.
  • Additionally, low-BMI cases of T2D showed increased rates of complications, and a combination of BMI stratification and cross-population methods resulted in over 37% improvement in prediction accuracy, with findings validated in additional cohorts.
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  • - KIF1A-related disorders (KRDs) involve a range of genetic variants with diverse clinical presentations, and recent research has broadened our understanding of heterozygous KIF1A variants, although long-term studies are limited.
  • - A study at Miyagi Children's Hospital reviewed records of six patients with heterozygous KIF1A variants who had spastic paraplegia, tracking their clinical symptoms and background over an average follow-up of 30 years.
  • - Key findings showed that early signs include developmental delays and gait issues, with later symptoms progressing to spastic paraplegia, peripheral neuropathy, reduced vision, and brain changes like cerebellar atrophy, highlighting the need for more research
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Genetic maps are fundamental resources for linkage and association studies. A fine-scale genetic map can be constructed by inferring historical recombination events from the genome-wide structure of linkage disequilibrium-a non-random association of alleles among loci-by using population-scale sequencing data. We constructed a fine-scale genetic map and identified recombination hotspots from 10 092 551 bi-allelic high-quality autosomal markers segregating among 150 unrelated Japanese individuals whose genotypes were determined by high-coverage (30×) whole-genome sequencing, and the genotype quality was carefully controlled by using their parents' and offspring's genotypes.

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Insufficient thyroid hormone production in newborns is referred to as congenital hypothyroidism. Multinodular goiter (MNG), characterized by an enlarged thyroid gland with multiple nodules, is usually seen in adults and is recognized as a separate disorder from congenital hypothyroidism. Here we performed a linkage analysis of a family with both nongoitrous congenital hypothyroidism and MNG and identified a signal at 15q26.

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Background: Periodic fever, aphthous stomatitis, pharyngitis, and cervical adenitis (PFAPA syndrome), and Kawasaki disease (KD) are both considered to be disorders of the innate immune system, and the potential role of inflammasome activation in the immunopathogenesis of both diseases has been previously described.

Case Presentation: Herein, we report the clinical courses of three patients who presented a rare combination of PFAPA syndrome and KD. Two patients who presented KD later developed the PFAPA syndrome, of whom one developed recurrent KD 2 years after the initial diagnosis.

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Recently, many phenotyping algorithms for high-throughput cohort identification have been developed. Prospective genome cohort studies are critical resources for precision medicine, but there are many hurdles in the precise cohort identification. Consequently, it is important to develop phenotyping algorithms for cohort data collection.

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Truncus Arteriosus (TA) is a congenital heart disease characterized by a single common blood vessel emerging from the right and left ventricles instead of the main pulmonary artery and aorta. TA accounts for 4% of all critical congenital heart diseases. The most common cause of TA is 22q11.

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Selective dorsal rhizotomy (SDR) has been used to treat children with spastic cerebral palsy (CP), and its beneficial effect on quality of life and ambulation has been confirmed in long-term follow-up studies. However, the role of SDR in the treatment of spasticity in patients with hereditary spastic paraplegia (HSP) and related disorders is not well-established. Here, we report the first patient with the ZC4H2 variant who underwent SDR to treat spastic paraplegia.

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  • The Tsuruoka Metabolomics Cohort Study (TMCS) is a large-scale, ongoing research project in rural Japan aiming to improve disease prevention strategies for complex illnesses by analyzing risk factors and predictors.
  • The study includes 11,002 participants aged 35-74 from Tsuruoka City, who provide extensive health and lifestyle data and undergo molecular profiling to identify potential disease-linked biomarkers.
  • TMCS focuses on outcomes related to cardiovascular diseases, cancer, and aging effects, utilizing a multi-omics approach to capture comprehensive biological, behavioral, and social data, and boasts a high participation rate and robust study design.
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  • A study examined the potential of artificial intelligence (AI) to predict recurrence in pancreatic ductal adenocarcinoma patients after surgery and chemotherapy.
  • Researchers applied machine learning to analyze vast amounts of histopathological image data and combined it with clinical information to enhance predictive accuracy.
  • The results showed that integrating AI with clinical data improved prediction, revealing that poorly differentiated tumors were significantly linked to higher recurrence rates.
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  • Modern medicine is shifting towards personalized approaches, emphasizing the importance of multi-omics data to better understand diseases and individual genetic variations across different ethnic groups.
  • Projects like the UK Biobank, All of Us, and the Tohoku Medical Megabank have been collecting vital biological specimens to support personalized medicine initiatives.
  • The jMorp web database, which started in 2015, has been updated to include a broader range of data (metabolome, genome, transcriptome, and metagenome) and improved user accessibility for analyzing the diversity of the Japanese population.
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