Biology subjects

Tamiya, G.

Publications and source records attributed to Tamiya, G..

14 recordsLinked to original sources

bioRxiv2026

Genomic properties representing plant sex chromosome evolution interpreted with genome language models

Plants have repeatedly evolved chromosomal sex-determining systems from hermaphroditic ancestors, providing a powerful natural framework for studying convergent evolution. However, sex chromosomes undergo extensive structural divergence, degeneration, and repeat accumulation, making direct comparisons across distant lineages difficult. Here, we apply a genome language model (gLM), which encodes genomic sequences into high-dimensional representations of their contextual properties, to independently evolved sex chromosomes from the distantly related genera Silene and Humulus. Without relying on sequence alignment or gene orthology, we identify convergent genomic signatures shared among plant Y chromosomes, including elevated GC content and depletion of specific trinucleotide motifs. Directionality analyses of latent genomic vectors further reveal common evolutionary trajectories associated with recombination suppression and Y chromosome differentiation. These properties differ from those observed in animal sex chromosomes, suggesting lineage-specific modes of sex chromosome evolution in plants. Our results demonstrate that genome language models can transform structurally incomparable chromosomes into quantitatively comparable evolutionary entities, allowing the interpretation of common genomic principles underlying convergent evolution across deeply diverged plant lineages.

evolutionary biology↗

bioRxiv2024

Interparental Gene Conversion in General Population: A Novel Mechanism For Loss of Heterozygosity

Gene conversion is a process in which genetic material from a donor sequence is unidirectionally copied to an acceptor sequence during the homologous recombination repair of a DNA double-strand break. Although gene conversion has been widely studied in the context of meiosis, hereditary diseases, and cancer development, gene conversion between parental homologs in the zygotes remains controversial. Here, we developed a method to detect interparental gene conversions by focusing on Mendelian errors and identified gene conversion events in one out of every 21.8 births. Some of these events were observed in genetic regions, potentially affecting offspring phenotypes. Interparental gene conversion leads to the offspring inheriting two identical alleles from one parent, resulting in a loss of heterozygosity. Our findings suggest that naturally occurring interparental gene conversions may provide a novel mechanism for the development of certain genetic diseases.

genomics↗

bioRxiv2024

JG2: an updated version of the Japanese population-specific reference genome

This study presents the construction of JG2, an updated population-specific reference genome for the Japanese population. Utilizing data from three individuals previously employed in the construction of JG1, several methodologies were employed to enhance genomic coverage and assembly quality. Hi-C sequencing technology facilitated phase-aware assembly, generating two haploid assemblies per individual and enabling improved representation of genetic variation. A meta-assembly strategy and a majority decision approach further refined assembly quality by combining the best sequences from multiple assemblies and minimizing the inclusion of rare variants. The resulting JG2 genome comprises chromosome-level sequences, mitochondrial chromosomes, and unplaced scaffolds, offering more comprehensive coverage of the Japanese genome. Comparative analyses with other reference genomes demonstrated the accuracy and representativeness of JG2, highlighting its utility for genetic research involving the Japanese population. Overall, by adopting the phased assembly technique, JG2 represents a significant advancement over the collapsed assembly-based JG1, providing researchers with a more precise and comprehensive resource for understanding the genetic landscape of the Japanese population. The sequences and annotations are available on the jMorp website (https://jmorp.megabank.tohoku.ac.jp/).

genomics↗

bioRxiv2024

Next-generation sequencing analysis with a population-specific reference genome

Next-generation sequencing (NGS) has become widely available and is routinely used in basic research and clinical practice. The reference genome sequence is an essential resource for NGS analysis, and several population-specific reference genomes have recently been constructed to provide a choice to deal with the vast genetic diversity of human samples. However, resources supporting population-specific references are insufficient, and it is burdensome to perform analysis using these reference genomes. Here, we constructed a set of resources to support NGS analysis using the Japanese reference genome sequence, JG. We created resources for variant calling, gene and repeat element annotations, variant-effect prediction, read mappability, and RNA-seq analysis. We also provide a resource for reference coordinate conversion for further annotation enrichment. We then provide a variant calling protocol using JG-based resources. Our resources provide a guide to prepare sufficient resources for the use of population-specific reference genomes and can facilitate the migration of reference genomes.

bioinformatics↗

bioRxiv2023

The evolution of fitness during range expansions in multiple dimensions

We develop a set of programs - the range expansions simulation kit (RESK) - to efficiently simulate range expansions of populations on a square lattice in 1D, 2D (on a strip, and on a disk) and 3D (in a cylinder, and in a sphere). In this study, we present the simulation kit to the public and present some results of using it to simulate a population of diploid individuals with finite genome regions, each containing infinite sites. Specifically, using the programs, we calculate and analyse the temporal evolution of population fitness, as well as fitness on the expansion front, in 3D for the first time. We explore the model over different conditions, compare normalisation methods for fitness, and explore the case of radial (sphere) and axial (cylinder) expansions in 3D, which might apply in the analysis of the different real-life populations, such as viruses/bacteria inside a host, marine species in ocean environments, and potentially in future space colonization planning. In 3D expansions, we find complex spatial fluctuations in deme-average fitness values, different from those in radial 2D expansions. In axial 3D (cylinder) expansions, we determine that the highest-valued deme-average fitness lies along the axis of the expansion. We also find the fluctuation patterns of fitness in 3D cylinder expansions, similar to those previously seen in radial expansions in 2D. In radial 2D (disk) expansions, we find that the fitness of a population undergoing multiple mutations shows a smooth combination of binary segregation pictures against each of those mutations. We confirm the accumulation of deleterious mutations -- a phenomenon known as expansion load -- in all scenarios above. We present the software used in the above to the public as a Julia repository, ready to use with different functions for simulating range expansions with minimal syntax.

genetics↗

bioRxiv2023

A fine-scale genetic map of the Japanese population

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 10,092,573 bi-allelic high-quality autosomal markers segregating among 150 unrelated Japanese individuals. These individuals genotypes were determined by high-coverage (30x) whole-genome sequencing, and the genotype quality was carefully controlled by using their parents and offsprings genotypes. The pedigree information was also utilized for haplotype phasing. The resulting genome-wide recombination rate profiles were concordant with those of the HapMap worldwide population on a broad scale, and the resolution was much improved. We identified 9487 recombination hotspots and confirmed the enrichment of previously known motifs in the hotspots. Moreover, we demonstrated that the Japanese genetic map improved the haplotype phasing and genotype imputation accuracy for the Japanese population. The construction of a population-specific genetic map will help make genetics research more accurate.

genetics↗

bioRxiv2022

Deep embedded clustering by relevant scales and genome-wide association study in autism

The etiology of autism spectrum disorders (ASD) remains unclear. Stratifying patients with ASD may help to identify genetically homogeneous subgroups. Using a deep embedded clustering algorithm, we conducted cluster analyses of Simons Foundation Powering Autism Research for Knowledge (SPARK) datasets and performed genome-wide association studies (GWAS) of the clusters. We observed no significant associations in the conventional GWAS comparing all patients to all controls. However, in the GWAS, comparing patients divided into clusters with similar phenotypes to controls (cluster-based GWAS), we identified 90 chromosomal loci that satisfied the P < 5.0 x 10-8, several of which were located within or near previously reported candidate genes for ASD. Our findings suggest that clustering may successfully identify subgroups with relatively homogeneous disease etiologies.

genomics↗

bioRxiv2020

Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs

BackgroundIncreasing the power of genome-wide association studies in diverse populations is important for understanding the genetic determinants of disease risks, and large-scale genotype data are collected by genome cohort and biobank projects all over the world. In particular, ethnic-specific SNP arrays are becoming more important because the use of universal SNP arrays has some limitations in terms of cost-effectiveness and throughput. As part of the Tohoku Medical Megabank Project, which integrates prospective genome cohorts into a biobank, we have been developing a series of Japonica Arrays for genotyping participants based on reference panels constructed from whole-genome sequence data of the Japanese population. ResultsWe designed a novel version of the SNP Array for the Japanese population, called Japonica Array NEO, comprising a total of 666,883 SNPs, including tag SNPs of autosomes and X chromosome with pseudoautosomal regions, SNPs of Y chromosome and mitochondria, and known disease risk SNPs. Among them, 654,246 tag SNPs were selected from an expanded reference panel of 3,552 Japanese using pairwise r2 of linkage disequilibrium measures. Moreover, 28,298 SNPs were included for the evaluation of previously identified disease risk SNPs from the literature and databases, and those present in the Japanese population were extracted using the reference panel. The imputation performance of Japonica Array NEO was assessed by genotyping 286 Japanese samples. We found that the imputation quality r2 and INFO score in the minor allele frequency bin >2.5%-5% were >0.9 and >0.8, respectively, and >12 million markers were imputed with an INFO score >0.8. After verification, Japonica Arrays were used to efficiently genotype cohort participants from the sample selection to perform a quality assessment of the raw data; approximately 130,000 genotyping data of >150,000 participants has already been obtained. ConclusionsJaponica Array NEO is a promising tool for genotyping the Japanese population with genome-wide coverage, contributing to the development of genetic risk scores for this population and further identifying disease risk alleles among individuals of East Asian ancestry.

genomics↗

bioRxiv2019

Endogenization and excision of human herpesvirus 6 in human genomes

The genome of human herpesvirus 6 (HHV-6) is integrated within the nuclear genome of about 1% of humans, but how this came about is not clear. HHV-6 integrates into telomeres, and this has recently been associated with polymorphisms affecting MOV10L1. MOV10L1 is located on the subtelomere of chromosome 22q (chr22q) and is required to make PIWI-interacting RNAs (piRNAs). piRNAs block integration of transposons in the germline, so piRNA-mediated repression of HHV-6 integration has been suspected. Whether integrated HHV-6 can reactive into an infectious virus is also uncertain. In vitro, recombination of the viral genome along its terminal direct repeats (DRs) leads to excision from the telomere and viral reactivation, but the expected single DR "scar" has not been described in vivo. We analyzed whole-genome sequencing (WGS) data from 13,040 subjects, including 7,485 from Japan. We found an association between integrated HHV-6 and polymorphisms on chr22q in Japanese subjects. However, association with the reported MOV10L1 polymorphism was driven by physical linkage to a single ancient endogenous HHV-6A variant integrated into the telomere of chr22q in East Asians. We resolved the junction of the human chromosome with this viral genome using long read sequencing. Unexpectedly, an HHV-6B variant has also endogenized in chr22q; two endogenous HHV-6 variants at this locus thus account for 72% of all integrated HHV-6 in Japan. We also report human genomes carrying only one portion of the HHV-6B genome, a single DR, supporting in vivo excision and viral reactivation. Using WGS data from North American families, we show that the incidence of HHV-6 integration into the germline is lower than its prevalence, and that integrated HHV-6 is not associated with the reported variant in MOV10L1. Together these results explain the recently reported association between integrated HHV-6 and MOV10L1/piRNAs, suggest exaptation of HHV-6 in its coevolution with human chr22q, and clarify the evolution and risk of reactivation of the only intact non-retroviral genome known to be present in human germlines. SIGNIFICANCE STATEMENT Human herpesvirus 6 (HHV-6) infects most people during childhood, usually only causing fever and rash. Reactivation of HHV-6 has been linked to a number of neurological diseases including encephalitis, Alzheimers disease and multiple sclerosis. However, about 1% of people are born with the HHV-6 genome present within their genome, included in the end "cap" of one of their 46 chromosomes. Little is known about how and when HHV-6 genomes entered human genomes, whether or not they still do, and whether or not this poses risk for virus reactivation. We looked for HHV-6 in genome sequences from over 13,000 people. Most HHV-6 variants present in human genomes have been co-evolving with human chromosomes for many generations, and new integration events are rare. Surprisingly, in almost three fourths of Japanese people with HHV-6 in their genome, HHV-6 integrated in the same end of the same chromosome - 22q. Persistence of the HHV-6 genome within the short "cap" that preserves the end of chromosome 22q suggests that the integrated viral sequence may have taken on a useful function for this chromosome. We also found that some human genomes harbor only one part of the HHV-6 genome. This part is the same part that remains after experimental viral reactivation, during which most of the virus is cut out of the genome. This warrants assessment of the risk that integration of HHV-6 into inherited human genomes is not irreversible, and possibly leads to production of infectious virus.

genetics↗

bioRxiv2019

Construction and Integration of Three De Novo Japanese Human Genome Assemblies toward a Population-Specific Reference

The complete sequence of the human genome is used as a reference for next-generation sequencing analyses. However, some ethnic ancestries are under-represented in the international human reference genome (e.g., GRCh37), especially Asian populations, due to a strong bias toward European and African ancestries in a single mosaic haploid genome consisting chiefly of a single donor. Here, we performed de novo assembly of the genomes from three Japanese male individuals using >100x PacBio long reads and Bionano optical maps per sample. We integrated the genomes using the major allele for consensus, and anchored the scaffolds using sequence-tagged site markers from conventional genetic and radiation hybrid maps to reconstruct each chromosome sequence. The resulting genome sequence, designated JG1, is highly contiguous, accurate, and carries the major allele in the majority of single nucleotide variant sites for a Japanese population. We adopted JG1 as the reference for confirmatory exome re-analyses of seven Japanese families with rare diseases and found that re-analysis using JG1 reduced false-positive variant calls versus GRCh37 while retaining disease-causing variants. These results suggest that integrating multiple genome assemblies from a single ethnic population can aid next-generation sequencing analyses of individuals originated from the population.

genomics↗

bioRxiv2019

A Recurrent Neural Network Based Method for Genotype Imputation on Phased Genotype Data

Genotype imputation estimates genotypes of unobserved variants from genotype data of other observed variants, and such estimation is enabled using haplotype data of a large number of other individuals. Although existing imputation methods explicitly use haplotype data, the accessibility of haplotype data is often limited because the agreement is necessary from donors of genome data. We propose a new imputation method that uses bidirectional recurrent neural network, and haplotype data of a large number of individuals are encoded as its model parameters through the training step, which can be shared publicly due to the difficulty in restoring genotype data at the individual-level. In the performance evaluation using the phased genotype data in the 1000 Genomes Project, the imputation accuracy of the proposed method in R2 is comparative with existing methods for variants with MAF [≥] 0.05 and is slightly worse than those of the existing methods for variants with MAF < 0.05. In a scenario of limited availability of haplotype data to the existing methods, the accuracy of the proposed method is higher than those of the existing methods at least for variants with MAF [≥] 0.005. Python code of our implementation for imputation is available at https://github.com/kanamekojima/rnnimp/.

bioinformatics↗

bioRxiv2019

Clustering by phenotype and genome-wide association study in autism

BackgroundAutism spectrum disorder (ASD) has phenotypically and genetically heterogeneous characteristics. A simulation study demonstrated that attempts to categorize patients with a complex disease into more homogeneous subgroups could have more power to elucidate hidden heritability. MethodsWe conducted cluster analyses using the k-means algorithm with a cluster number of 15 based on phenotypic variables from the Simons Simplex Collection (SSC). As a preliminary study, we conducted a conventional genome-wide association study (GWAS) with a dataset of 597 ASD cases and 370 controls. In the second step, we divided cases based on the clustering results and conducted GWAS in each of the subgroups vs controls (cluster-based GWAS). We also conducted cluster-based GWAS on another SSC dataset of 712 probands and 354 controls in the replication stage. ResultsIn the preliminary study, we observed no significant associations. In the second step of cluster-based GWASs, we identified 65 chromosomal loci, which included 30 intragenic loci located in 21 genes and 35 intergenic loci that satisfied the threshold of P<5.0x10-8. Some of these loci were located within or near previously reported candidate genes for ASD: CDH5, CNTN5, CNTNAP5, DNAH17, DPP10, DSCAM, FOXK1, GABBR2, GRIN2A5, ITPR1, NTM, SDK1, SNCA and SRRM4. Of these 65 significant chromosomal loci, rs11064685 located within the SRRM4 gene had a significantly different distribution in the cases vs. controls in the replication cohort. ConclusionsThese findings suggest that clustering may successfully identify subgroups with relatively homogeneous disease etiologies. Further cluster validation and replication studies are warranted in larger cohorts.

neuroscience↗

bioRxiv2019

Automated acquisition of knowledge beyond pathologists

Deep learning algorithms have been successfully used in medical image classification and cancer detection. In the next stage, the technology of acquiring explainable knowledge from medical images is highly desired. Herein, fully automated acquisition of explainable features from annotation-free histopathological images is achieved via revealing statistical distortions in datasets by introducing the way of pathologists examination into a set of deep neural networks. As validation, we compared the prediction accuracy of prostate cancer recurrence using our algorithm-generated features with that of diagnosis by an expert pathologist using established criteria on 13,188 whole-mount pathology images. Our method found not only the findings established by humans but also features that have not been recognized so far, and showed higher accuracy than human in prognostic prediction. This study provides a new field to the deep learning approach as a novel tool for discovering uncharted knowledge, leading to effective treatments and drug discovery.

bioinformatics↗

bioRxiv2019

3.5KJPNv2, An allele frequency panel of 3,552 Japanese Individuals

The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels and to provide them through easy-to-use interfaces. In the Tohoku Medical Megabank Project, we have sequenced nearly 4,000 individuals from a Japanese population, and constructed an allele frequency panel of 3,552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first largescale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp.

genomics↗