Publications by authors named "Takanori Hasegawa"

Current molecular quantitative trait locus catalogs are mostly at bulk resolution and centered on Europeans. Here, we constructed an immune cell atlas with single-cell transcriptomics of >1.5 million peripheral blood mononuclear cells, host genetics, plasma proteomics and gut metagenomics from 235 Japanese persons, including patients with coronavirus disease 2019 (COVID-19) and healthy individuals.

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The rapid worldwide transmission of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to severe cases of hypoxia, acute respiratory distress syndrome, multi-organ failure, and ultimately death. Small-scale molecular interactions have been analyzed by focusing on several genes/single genes, providing important insights; however, genome-wide multi-omics comprehensive molecular interactions have not yet been well investigated with the exception of GWAS and eQTLm, both of which show genetic risks. From April of 2020 until now, we have created a Japan-wide system, initially named the Japan COVID-19 Task Force.

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We present the Japan Omics Browser (JOB), which enables integrative analysis of human omics at different layers. JOB offers visualization of per-variant regulatory effects in the human blood at mRNA and protein level distinctively, quantified from statistical fine-mapping of mRNA-expression quantitative loci (eQTL) and protein QTLs (pQTLs) in 1,405 Japanese, together with fine-mapping results of 94 complex traits in UK Biobank. In addition, JOB shows per-tissue regulatory effect prediction score (EMS), trained via multi-task learning.

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Cancer prognosis markers are useful for treatment decisions; however, the omics-level landscape is not well understood across multiple cancer types. Pan-Cancer Analysis of Whole Genomes (PCAWG) provides unprecedented access to various types of molecular data, ranging from typical DNA mutations and RNA expressions to more deeply analyzed or whole-genomic features, such as HLA haplotypes and structural variations. We analyzed the PCAWG data of 13 cancer types from 1,514 patients to identify prognosis markers belonging to 17 molecular features in the survival analysis based on the Cox and Lasso regression methods.

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Aberrant immune responses to viral pathogens contribute to pathogenesis, but our understanding of pathological immune responses caused by viruses within the human virome, especially at a population scale, remains limited. We analyzed whole-genome sequencing datasets of 6,321 Japanese individuals, including patients with autoimmune diseases (psoriasis vulgaris, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), pulmonary alveolar proteinosis (PAP) or multiple sclerosis) and coronavirus disease 2019 (COVID-19), or healthy controls. We systematically quantified two constituents of the blood DNA virome, endogenous HHV-6 (eHHV-6) and anellovirus.

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Article Synopsis
  • The study investigates how genetic factors regulate protein expression using protein quantitative trait loci (pQTLs) and highlights differences from traditional mRNA expression studies (eQTLs).
  • Analyzing data from over 4,000 samples, researchers found that fine-mapped pQTLs are linked to missense variants and show distinct mechanisms from eQTLs, indicating different regulatory influences.
  • The research reveals a negative correlation between ABO gene mRNA and protein levels due to genetic linkage, showcasing the complexities in the relationship between these expression types.
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  • Statistical fine-mapping helps identify potential causal variants in gene expression studies, specifically in expression quantitative trait loci (eQTL) research, which may not always guarantee the presence of causal variants.
  • The newly developed algorithm, Knockoff-Finemap combination (KFc), enhances the assessment of causal variants by generating synthetic genotypes to adjust the probabilities of including certain variants as causal.
  • When applied to gene expression data from COVID-19 research, KFc demonstrated improved precision and successfully indicated higher rates of causal variants linked to hematopoietic traits when combined with functional data from a prior study.
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  • The study investigates intratumor heterogeneity (ITH) in microsatellite instability-high (MSI-H) colorectal cancer (CRC) to understand its evolution and the impact of immune pressure on ITH.
  • Researchers reanalyzed whole-exome sequencing data and conducted multi-region analyses on MSI-H CRC samples, developing a new computational model to explore immune escape mechanisms.
  • Findings reveal that MSI-H CRC shows diverse genetic changes related to immune evasion, highlighting the importance of initiating immune checkpoint inhibitor treatments early for improved patient outcomes.
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  • Traditional surveillance systems tend to be reactive due to delays in data collection and analysis, suggesting that incorporating behavioral indicators could enhance forecasting capabilities for disease outbreaks like COVID-19.
  • The study focused on assessing how public interest in SARS-CoV-2 and mobility trends can be used in a vector autoregression model to predict COVID-19 case numbers in the National Capital Region.
  • Two models were compared for their forecasting accuracy; both showed similar trends initially, but their effectiveness diverged significantly during a later period, indicating that incorporating public interest might improve predictions.
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Background: While emergency medicine (ER)-based emergency care is prevalent in many countries, in Japan, the "department-specific emergency care model" and the "emergency center model" are mainstream. We hypothesized that many secondary emergency medical institutions in Japan have inadequate systems. Using a questionnaire, we investigated the status of and problems in the emergency medical services system in secondary emergency medical institutions in Japan.

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Background: Driver alterations may represent novel candidates for driver gene-guided therapy; however, intrahepatic cholangiocarcinoma (ICC) with multiple genomic aberrations makes them intractable. Therefore, the pathogenesis and metabolic changes of ICC need to be understood to develop new treatment strategies. We aimed to unravel the evolution of ICC and identify ICC-specific metabolic characteristics to investigate the metabolic pathway associated with ICC development using multiregional sampling to encompass the intra- and inter-tumoral heterogeneity.

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  • * This study analyzed rare genetic variants by combining data from 21 cohorts worldwide, involving over 5,000 severe cases and 571,000 controls.
  • * A significant finding showed that a rare harmful variant in the TLR7 gene greatly increases the risk of severe COVID-19, indicating that rare variants could offer valuable insights for understanding and treating the disease.
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  • * Researchers analyzed RNA-seq data from 465 blood samples, uncovering 1169 expression quantitative trait loci (eQTLs) and 1549 splice QTLs (sQTLs) linked to COVID-19 severity, including immune-related expressions.
  • * The study highlights the impact of disease severity on gene expression, identifying specific eQTLs that interact with COVID-19 phenotypes, and provides an extensive resource for understanding gene regulation in response to the virus.
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  • Researchers conducted a genome-wide association study (GWAS) with 2,393 COVID-19 patients and 3,289 controls in Japan, identifying a specific genetic variant (rs60200309-A) on chromosome 5 linked to severe cases in individuals under 65.
  • The variant is more common in East Asians and associated with reduced expression of the DOCK2 gene, which was found to be lower in severe COVID-19 cases, particularly in non-classical monocytes.
  • Additionally, inhibiting DOCK2 in hamsters worsened pneumonia symptoms, indicating its potential as a biomarker and therapeutic target for severe COVID-19.
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Amylase genes reside in a structurally complex locus, and their copy numbers vary greatly, and several studies have reported their association with obesity. The mechanism of this effect was partially explained by changes in the oral and gut microbiome compositions; however, a detailed mechanism has been unclarified. In this study, we showed their association with diabetes in addition to obesity, and further discovered a plausible mechanism of this association based on the function of commensal bacteria.

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Background: Early food introduction induces tolerance, but epicutaneous exposure, especially via eczema lesions, promotes IgE sensitization. Aiming for safe and effective primary prevention of egg allergy, we examined several protease-digested egg-white (EW) products for three properties: 1) induction of oral tolerance that prevents IgE sensitization, 2) weak IgE binding that can prevent allergic reactions even in IgE-sensitized mice, and 3) minimal epicutaneous IgE sensitization even when in contact with inflamed skin.

Methods: Heated EW was digested with several proteases under optimal conditions.

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Esophageal squamous cell carcinoma (ESCC) often recurs after chemoradiotherapy, and the prognosis of ESCC after chemoradiotherapy has not improved over the past few decades. The mutation process in chemoradiotherapy-resistant clones and the functional relevance of genetic alterations remain unclear. To address these problems, we performed whole-exome sequencing of 52 tumor samples from 33 patients with ESCC who received radiotherapy combined with 5-fluorouracil/platinum.

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Immune reactions in the tumor microenvironment are an important hallmark of cancer, and emerging immune therapies have been proven effective against several types of cancers. To investigate cancer genome-immune interactions and the role of immunoediting or immune escape mechanisms in cancer development, we analyzed 2834 whole genome and RNA sequencing datasets across 31 distinct tumor types with respect to key immunogenomic aspects and provided comprehensive immunogenomic profiles of pan-cancers. We found that selective copy number changes in immune-related genes may contribute to immune escape.

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Bone formation represents a heritable trait regulated by many signals and complex mechanisms. Its abnormalities manifest themselves in various diseases, including sclerosing bone disorder (SBD). Exploration of genes that cause SBD has significantly improved our understanding of the mechanisms that regulate bone formation.

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A Darwinian evolutionary shift occurs early in the neutral evolution of advanced colorectal carcinoma (CRC), and copy number aberrations (CNA) are essential in the transition from adenoma to carcinoma. In light of this primary evolution, we investigated the evolutionary principles of the genome that foster postoperative recurrence of CRC. CNA and neoantigens (NAG) were compared between early primary tumors with recurrence (CRCR) and early primary tumors without recurrence (precancerous and early; PCRC).

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Precision health care plays a crucial role in an elderly society by providing personalized health care plans for improving an individual's health conditions and preventing disease. To realize precision health care, data science is key; it allows for analyses of health-related big data. In this article, an actual analysis of time-series health check-up data is presented and as is a discussion of how personalized simulation models of health conditions are constructed and used to modify individual behavior.

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Summary: It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants.

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Background: The relationship between chronic kidney disease (CKD) and the gut microbiome, which interact through chronic inflammation, uraemic toxin production and immune response regulation, has gained interest in the development of CKD therapies. However, reports using shotgun metagenomic analysis of the gut microbiome are scarce, especially for early CKD. Here we characterized gut microbiome differences between non-CKD participants and ones with early CKD using metagenomic sequencing.

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Purpose: Pulse wave velocity (PWV), an indicator of vascular stiffness, increases with age and is increasingly recognized as an independent risk factor for cardiovascular disease (CVD). Although many mechanical and chemical factors underlie the stiffness of the elastic artery, genetic risk factors related to age-dependent increases in PWV in apparently healthy people are largely unknown. The transcription factor nuclear factor E2 (NF-E2)-related factor 2 (Nrf2), which is activated by unidirectional vascular pulsatile shear stress or oxidative stress, regulates vascular redox homeostasis.

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