Biology subjects

Akiyama, M.

Publications and source records attributed to Akiyama, M..

29 records · Page 2Linked to original sources

bioRxiv2019

Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan

Human genetics seeks a way to improve human health on a global scale. Expectations are running high for polygenic risk scores (PRSs) to be translated into clinical practice to predict an inborn susceptibility to health risks. While risk stratification based on PRS is one way to promote population health, a strategy to utilize genetics to prioritize modifiable risk factors and biomarkers driving heath outcome is also warranted. To this end, here we utilized PRSs to comprehensively investigate the association of the genetic susceptibility to complex traits with human lifespan in collaboration with three worldwide biobanks (ntotal = 675,898). First, we conducted genome-wide association studies for 45 quantitative clinical phenotypes, constructed the individual PRSs, and associated them with the age at death of 179,066 participants in BioBank Japan. The PRSs revealed that the genetic susceptibility of high systolic blood pressure (sBP) was strongly associated with a shorter lifespan (hazard ratio [HR] = 1.03, P = 1.4x10-7). Next, we sought to replicate these associations in individuals of European ancestry in UK Biobank (n = 361,194) and FinnGen (n = 135,638). Among the investigated traits, the individuals with higher blood pressure-related PRSs were trans-ethnically associated with a shorter lifespan (HR = 1.03, Pmeta = 3.9x10-13 for sBP) and parental lifespan (HR = 1.06, PUKBB = 2.0x10-86 for sBP). Further, our trans-biobank study identified additional complex traits associated with lifespan (e.g., obesity, height, serum lipids, and platelet counts). Of them, obesity-related traits showed strikingly heterogeneous effects on lifespan between Japanese and European populations (Pheterogeneity = 9.5x10-8 for body mass index). Through trans-ethnic biobank collaboration, we elucidated the novel value of the PRS study in genetics-driven prioritization of risk factors and biomarkers which can be medically intervened to improve population health.

genetics↗

bioRxiv2019

Population-specific and transethnic genome-wide analyses reveal distinct and shared genetic risks of coronary artery disease

To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study (GWAS) of 168,228 Japanese (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,782 CAD cases and 3,148 controls. We detected 9 novel disease-susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a transethnic meta-analysis and discovered 37 additional novel loci. Using the result of the meta-analysis, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European GWAS. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improves clinical characterization of CAD genetics and suggests the utility of transethnic meta-analysis for PRS derivation in non-European populations.

genetics↗

bioRxiv2019

Large scale genome-wide association study in a Japanese population identified 45 novel susceptibility loci for 22 diseases

INTRODUCTORY PARAGRAPHThe overwhelming majority of participants in current genetic studies are of European ancestry1-3, limiting our genetic understanding of complex disease in non-European populations. To address this, we aimed to elucidate polygenic disease biology in the East Asian population by conducting a genome-wide association study (GWAS) with 212,453 Japanese individuals across 42 diseases. We detected 383 independent signals in 331 loci for 30 diseases, among which 45 loci were novel (P < 5 x 10-8). Compared with known variants, novel variants have lower frequency in European populations but comparable frequency in East Asian populations, suggesting the advantage of this study in discovering these novel variants. Three novel signals were in linkage disequilibrium (r2 > 0.6) with missense variants which are monomorphic in European populations (1000 Genomes Project) including rs11235604(p.R220W of ATG16L2, a autophagy-related gene) associated with coronary artery disease. We further investigated enrichment of heritability within 2,868 annotations of genome-wide transcription factor occupancy, andidentified 378 significant enrichments across nine diseases (FDR < 0.05) (e.g. NF-{kappa}B for immune-related diseases). This large-scale GWAS in a Japanese population provides insights into the etiology of common complex diseases and highlights the importance of performing GWAS in non-European populations.

genetics↗

bioRxiv2019

Evidence of polygenic adaptation at height-associated loci in mainland Europeans and Sardinians

Adult height was one of the earliest putative examples of polygenic adaptation in human. By constructing polygenic height scores using effect sizes and frequencies from hundreds of genomic loci robustly associated with height, it was reported that Northern Europeans were genetically taller than Southern Europeans beyond neutral expectation. However, this inference was recently challenged. Sohail et al. and Berg et al. showed that the polygenic signature disappeared if summary statistics from UK Biobank (UKB) were used in the analysis, suggesting that residual uncorrected stratification from large-scale consortium studies was responsible for the previously noted genetic difference. It thus remains an open question whether height loci exhibit signals of polygenic adaptation in any human population. In the present study, we re-examined this question, focusing on one of the shortest European populations, the Sardinians, as well as on the mainland European populations in general. We found that summary statistics from UKB significantly correlate with population structure in Europe. To further alleviate concerns of biased ascertainment of GWAS loci, we examined height-associated loci from the Biobank of Japan (BBJ). Applying frequency-based inference over these height-associated loci, we showed that the Sardinians remain significantly shorter than expected (~ 0.35 standard deviation shorter than CEU based on polygenic height scores, P = 1.95e-6). We also found the trajectory of polygenic height scores decreased over at least the last 10,000 years when compared to the British population (P = 0.0123), consistent with a signature of polygenic adaptation at height-associated loci. Although the same approach showed a much subtler signature in mainland European populations, we found a clear and robust adaptive signature in UK population using a haplotype-based statistic, tSDS, driven by the height-increasing alleles (P = 4.8e-4). In summary, by examining frequencies at height loci ascertained in a distant East Asian population, we further supported the evidence of polygenic adaptation at height-associated loci among the Sardinians. In mainland Europeans, we also found an adaptive signature, although becoming more pronounced only in haplotype-based analysis.

genetics↗

bioRxiv2019

Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease

BackgroundGenome-wide association studies (GWAS) provided many biological insights into coronary artery disease (CAD), but these studies were mainly performed in Europeans. GWAS in diverse populations have the potential to advance our understanding of CAD.\n\nMethods and ResultsWe conducted two GWAS for CAD in the Japanese population, which included 12,494 cases and 28,879 controls, and 2,808 cases and 7,261 controls, respectively. Then, we performed transethnic meta-analysis using the results of the CARDIoGRAMplusC4D 1000 Genomes meta-analysis with UK Biobank. We identified 3 new loci on chromosome 1q21 (CTSS), 10q26 (WDR11-FGFR2), and 11q22 (RDX-FDX1). Quantitative trait locus analyses suggested the association of CTSS and RDX-FDX1 with atherosclerotic immune cells. Tissue/cell type enrichment analysis showed the involvement of arteries, adrenal glands and fat tissues in the development of CAD. Finally, we performed tissue/cell type enrichment analysis using East Asian-frequent and European-frequent variants according to the risk allele frequencies, and identified significant enrichment of adrenal glands in the East Asian-frequent group while the enrichment of arteries and fat tissues was found in the European-frequent group. These findings indicate biological differences in CAD susceptibility between Japanese and Europeans.\n\nConclusionsWe identified 3 new loci for CAD and highlighted the genetic differences between the Japanese and European populations. Moreover, our transethnic analyses showed both shared and unique genetic architectures between the Japanese and Europeans. While most of the underlying genetic bases for CAD are shared, further analyses in diverse populations will be needed to elucidate variations fully.

genetics↗

bioRxiv2019

The genomic landscape of clonal hematopoiesis in Japan

Cancer and aging are widely assumed to involve similar biological trajectories in different populations, though such biology has not been systematically characterized on a population scale. Clonal hematopoiesis with acquired mutations is a pre-cancerous condition that becomes common with advancing age. Here we describe shared and population-specific patterns of genomic mutation revealed by 33,250 autosomal mosaic chromosomal alterations (mCAs) we ascertained from 179,417 Japanese participants in the BioBank Japan cohort and compared to analogous analyses of UK Biobank. In this long-lived Japanese population, mCAs were detected in more than 35.0% (s.e. 1.4%) of individuals older than 90 years, suggesting that such clones trend toward inevitability with aging. Japanese and Europeans exhibited key differences in the genomic locations of mutations in their respective hematopoietic clones, which anticipated the populations relative rates of CLL (more common among Europeans) and T-cell lymphoma (more common among Japanese). Multiple mutational precursors of CLL (including trisomy 12, 13q loss, and 13q CNN-LOH) were also 2-6x less common among the Japanese, suggesting that these populations differ in selective pressures on clones long before the development of clinically apparent CLL. Japanese and UK populations also exhibited very different rates of clones arising from B- and T-cell lineages, anticipating the relative rates of B- and T-cell cancers in these populations. We identified six new loci at which inherited variants predispose to mCAs that duplicate or remove inherited risk alleles, including large-effect rare variants at NBN, MRE11, and CTU2 (OR=28-91). Our results motivate further exploration of the global genomic landscape of clonal hematopoiesis and cancer, and point to population-specific selective pressures on hematopoietic clones.

genetics↗

bioRxiv2018

Genome-wide association meta-analysis identifies novel GP2 gene risk variants for pancreatic cancer in the Japanese population

The etiology of pancreatic cancer remains largely unknown. Here, we report the results of a meta-analysis of three genome-wide association studies (GWASs) comprising 2,039 pancreatic cancer cases and 32,592 controls, the largest sample size in the Japanese population. We identified 3 (13q12.2, 13q22.1, and 16p12.3) genome-wide significant loci (P<5.0x10-8) and 4 suggestive loci (P<1.0x10-6) for pancreatic cancer. Of these risk loci, 16p12.3 is novel; the lead SNP maps to rs78193826 (odds ratio (OR)=1.46, 95% CI=1.29-1.66, P=4.28x10-9), an Asian-specific, nonsynonymous glycoprotein 2 (GP2) gene variant predicted to be highly deleterious. Additionally, the gene-based GWAS identified a novel gene, KRT8, which is linked to exocrine pancreatic and liver diseases. The identified GP2 gene variants were pleiotropic for multiple traits, including type 2 diabetes, hemoglobin A1c (HbA1c) levels, and pancreatic cancer. Mendelian randomization analyses corroborated causality between HbA1c and pancreatic cancer. These findings suggest that GP2 gene variants are associated with pancreatic cancer susceptibility in the Japanese population, prompting further functional characterization of this locus.

genetics↗

bioRxiv2018

Direct inference of base-pairing probabilities with neural networks improves RNA secondary structure prediction with pseudoknots

MotivationExisting approaches for predicting RNA secondary structures depend on howto decompose a secondary structure into substructures, so-called the architecture, to define their parameter space. However, the architecture has not been sufficiently investigated especially for pseudoknotted secondary structures.\n\nResultsIn this paper, we propose a novel algorithm to directly infer base-pairing probabilities with neural networks that does not depend on the architecture of RNA secondary structures, followed by performing the maximum expected accuracy (MEA) based decoding algorithms; Nussinov-style decoding for pseudoknot-free structures, and IPknot-style decoding for pseudoknotted structures. To train the neural networks connected to each base-pair, we adopt a max-margin framework, called structured support vector machines (SSVM), as the output layer. Our benchmarks for predicting RNA secondary structures with and without pseudoknots show that our algorithm achieves the best prediction accuracy compared with existing methods.\n\nAvailabilityThe source code is available at https://github.com/keio-bioinformatics/neuralfold/.\n\nContactsatoken@bio.keio.ac.jp

bioinformatics↗

bioRxiv2018

Frequent variants in the Japanese population determine quasi-Mendelian inheritance of rare retinal ciliopathy

Hereditary retinal degenerations (HRDs) are Mendelian diseases characterized by progressive blindness and caused by ultra-rare mutations. In a genomic screen of 331 unrelated Japanese patients, we identify a disruptive Alu insertion and a nonsense variant (p.Arg1933*) in the ciliary gene RP1, neither of which are rare alleles in Japan. p.Arg1933* is almost polymorphic (frequency = 0.6%, amongst 12,000 individuals), does not cause disease in homozygosis or heterozygosis, and yet is significantly enriched in HRD patients (frequency = 2.1%, i.e. a 3.5-fold enrichment; p-value = 9.2x10-5). Familial co-segregation and association analyses show that p.Arg1933* can act as a Mendelian mutation, in trans with the Alu insertion, but might also cause disease in association with two alleles in the EYS gene in a non-Mendelian pattern of heredity. Our results suggest that rare conditions such as HRDs can be paradoxically determined by relatively common variants, following a quasi-Mendelian model linking monogenic and complex inheritance.

genomics↗

bioRxiv2017

A max-margin training of RNA secondary structure prediction integrated with the thermodynamic model

Motivation: A popular approach for predicting RNA secondary structure is the thermodynamic nearest neighbor model that finds a thermodynamically most stable secondary structure with the minimum free energy (MFE). For further improvement, an alternative approach that is based on machine learning techniques has been developed. The machine learning based approach can employ a fine-grained model that includes much richer feature representations with the ability to fit the training data. Although a machine learning based fine-grained model achieved extremely high performance in prediction accuracy, a possibility of the risk of overfitting for such model has been reported.\n\nResults: In this paper, we propose a novel algorithm for RNA secondary structure prediction that integrates the thermodynamic approach and the machine learning based weighted approach. Ourfine-grained model combines the experimentally determined thermodynamic parameters with a large number of scoring parameters for detailed contexts of features that are trained by the structured support vector machine (SSVM) with the{ell} 1 regularization to avoid overfitting. Our benchmark shows that our algorithm achieves the best prediction accuracy compared with existing methods, and heavy overfitting cannot be observed.\n\nAvailability: The implementation of our algorithm is available at https://github.com/keio-bioinformatics/mxfold.\n\nContact: satoken@bio.keio.ac.jp

bioinformatics↗

bioRxiv2017

Elucidating the genetic architecture of reproductive ageing in the Japanese population

Population studies over the past decade have successfully elucidated the genetic architecture of reproductive ageing. However, those studies were largely limited to European ancestries, restricting the generalizability of the findings and overlooking possible key genes poorly captured by common European genetic variation. Here, in up to 67,029 women of Japanese ancestry, we report 26 loci (all P<5x10{macron}8) for puberty timing or age at menopause, representing the first loci for reproductive ageing in any non-European population. Highlighted genes for menopause include GNRH1, which supports a primary, rather than passive, role for hypothalamic-pituitary GnRH signalling in the timing of menopause. For puberty timing, we demonstrate an aetiological role for receptor-like protein tyrosine phosphatases by combining evidence across population genetics and pre- and peri-pubertal changes in hypothalamic gene expression in rodent and primate models. Furthermore, our findings demonstrate widespread differences in allele frequencies and effect estimates between Japanese and European populations, highlighting the benefits and challenges of large-scale trans-ethnic approaches.

genetics↗