scholarly journals Japonica Array NEO with Increased Genome-Wide Coverage and Abundant Disease Risk SNPs

2020 ◽  
Author(s):  
Mika Sakurai-Yageta ◽  
Kazuki Kumada ◽  
Chinatsu Gocho ◽  
Satoshi Makino ◽  
Akira Uruno ◽  
...  
Keyword(s):  
Japanese Population ◽  
Disease Risk ◽  
Association Studies ◽  
Snp Array ◽  
Reference Panel ◽  
Genome Wide Association Studies ◽  
Snp Arrays ◽  
Tag Snps ◽  
Genome Wide ◽  
Risk Snps

Abstract Background: Increasing 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.Results: We 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. Conclusions: Japonica 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.

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

2020 ◽  
Author(s):  
Mika Sakurai-Yageta ◽  
Kazuki Kumada ◽  
Chinatsu Gocho ◽  
Satoshi Makino ◽  
Akira Uruno ◽  
...  
Keyword(s):  
Japanese Population ◽  
Disease Risk ◽  
Association Studies ◽  
Snp Array ◽  
Reference Panel ◽  
Genome Wide Association Studies ◽  
Snp Arrays ◽  
Tag Snps ◽  
Genome Wide ◽  
Risk Snps

AbstractBackgroundIncreasing 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.

scholarly journals P822 Genetic analysis of ulcerative colitis in Japanese individuals using population-specific SNP array

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S638-S639
Author(s):  
D Okamoto ◽  
Y Kakuta ◽  
N Takeo ◽  
R Moroi ◽  
M Kuroha ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Japanese Population ◽  
Association Studies ◽  
Snp Array ◽  
Replication Study ◽  
Lower Probability ◽  
Genome Wide Association Studies ◽  
Combined Analysis ◽  
Genome Wide ◽  
A Genome

Abstract Background Previous genome wide association studies (GWASs) have identified over 200 susceptibility loci for inflammatory bowel diseases (IBD), but studies in non-European population are limited. To clarify the genetic background of ulcerative colitis (UC) in the Japanese population, we conducted GWAS using a population specific SNP array (Japonica Array). Methods Discovery GWAS included 624 UC patients and 2004 healthy controls (HC) and replication study included 1075 UC patients and 419 HCs. We performed GWAS using a Japonica Array and the subsequent imputation with a Japanese population reference panel (referred to as 2KJPN). After GWAS, significant and candidate loci were identified and the representative top SNPs of each region were analysed in replication study and combined analysis. The probability of colectomy between genotypes of rs117506082, the top hit SNP at HLA loci, was analysed using the Kaplan–Meier method. Results In the GWAS, only the HLA loci showed genome wide significant association [rs117506082, p = 6.69E−28, OR=1.29, 95%CI=1.23–1.35]. 7 regions with nominal significance included 2 known loci: IL23R [rs76418789, p = 6.29E−7, OR=0.89, 95%CI=0.85–0.93], IRF8 [rs16940202, p = 1.03E−6, OR=1.07, 95%CI=1.04–1.10] and 5 novel loci: miR-622 [rs9560575, p = 8.23E−7, OR=1.06, 95%CI=1.04–1.09], 14q31 [rs117618617, p = 1.53E−6, OR=1.13, 95%CI=1.09–1.19], KAT6B [rs12260609, p = 1.81E−6, OR=1.06, 95%CI=1.04–1.09], PAX3-CCDC140-SGPP2 [rs7589797, p = 2.87E−6, OR=0.94, 95%CI=0.93–0.97], KCNA2 [rs118020656, p = 4.01E−6, OR=1.12, 95%CI=1.07–1.18]. Combined analysis revealed that the HLA loci [rs117506082, p = 1.10E−23, OR=3.43, 95%CI=2.99–3.83] and IL23R p.G149R [rs76418789, p = 9.03E−11, OR=0.51, 95%CI=0.42–0.63] had a genome wide significant association. The GG genotype of rs117506082 had a significantly lower probability for total colectomy compared with the GA+AA genotype (p = 1.72E−2). Conclusion IL23R p.G149R is a susceptibility locus for UC in Japanese individuals. The GG genotype of rs117506082 at HLA loci, a risk genotype for UC susceptibility, may predict a better clinical course.

scholarly journals Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer’s disease risk

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daichi Shigemizu ◽  
Risa Mitsumori ◽  
Shintaro Akiyama ◽  
Akinori Miyashita ◽  
Takashi Morizono ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Japanese Population ◽  
Disease Risk ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
A Genome

AbstractAlzheimer’s disease (AD) has no cure, but early detection and risk prediction could allow earlier intervention. Genetic risk factors may differ between ethnic populations. To discover novel susceptibility loci of AD in the Japanese population, we conducted a genome-wide association study (GWAS) with 3962 AD cases and 4074 controls. Out of 4,852,957 genetic markers that passed stringent quality control filters, 134 in nine loci, including APOE and SORL1, were convincingly associated with AD. Lead SNPs located in seven novel loci were genotyped in an independent Japanese AD case–control cohort. The novel locus FAM47E reached genome-wide significance in a meta-analysis of association results. This is the first report associating the FAM47E locus with AD in the Japanese population. A trans-ethnic meta-analysis combining the results of the Japanese data sets with summary statistics from stage 1 data of the International Genomics of Alzheimer’s Project identified an additional novel susceptibility locus in OR2B2. Our data highlight the importance of performing GWAS in non-European populations.

scholarly journals Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Minako Imamura ◽  
Atsushi Takahashi ◽  
Toshimasa Yamauchi ◽  
Kazuo Hara ◽  
Kazuki Yasuda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Japanese Population ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals CONVERGENT AGING LOCI: PATHWAYS THAT TRANSCEND INDIVIDUAL DISEASES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S221-S221
Author(s):  
Luke C Pilling ◽  
Luigi Ferrucci ◽  
David Melzer
Keyword(s):  
Disease Risk ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Telomere Shortening ◽  
Chronic Disease Risk ◽  
Trade Offs ◽  
Age Related ◽  
Genome Wide ◽  
Artery Disease

Abstract Thousands of loci across the genome have been identified for specific diseases in genome-wide association studies (GWAS), yet very few are associated with lifespan itself. We hypothesized that specific biological pathways transcend individual diseases and affect health and lifespan more broadly. Using the published results for the most recent GWAS for 10 key age-related diseases (including coronary artery disease, type-2 diabetes, and several cancers) we identified 22 loci with a strong genetic association with at least three of the diseases. These multi-trait aging loci include known genes affecting multiple diverse health end points, such as CDKN2A/B (9p21.3) and APOE. There are also novel multi-trait genes including SH2B3 and CASC8, likely involved in hallmark pathways of aging biology, including telomere shortening and inflammation. Several of these loci involve trade-offs between chronic disease risk and cancer.

scholarly journals Genome-wide association studies and heritability analysis reveal the involvement of host genetics in the Japanese gut microbiota

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Sachiko Ishida ◽  
Kumiko Kato ◽  
Masami Tanaka ◽  
Toshitaka Odamaki ◽  
Ryuichi Kubo ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Japanese Population ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Microbiota Composition ◽  
Intrinsic Factors ◽  
Genome Wide ◽  
Gut Microbiota Composition

AbstractNumerous host extrinsic and intrinsic factors affect the gut microbiota composition, but their cumulative effects do not sufficiently explain the variation in the microbiota, suggesting contributions of missing factors. The Japanese population possesses homogeneous genetic features suitable for genome-wide association study (GWAS). Here, we performed GWASs for human gut microbiota using 1068 healthy Japanese adults. To precisely evaluate genetic effects, we corrected for the impacts of numerous host extrinsic and demographic factors by introducing them as covariates, enabling us to discover five loci significantly associated with microbiome diversity measures: HS3ST4, C2CD2, 2p16.1, 10p15.1, and 18q12.2. Nevertheless, these five variants explain only a small fraction of the variation in the gut microbiota. We subsequently investigated the heritability of each of the 21 core genera and found that the abundances of six genera are heritable. We propose that the gut microbiota composition is affected by a highly polygenic architecture rather than several strongly associated variants in the Japanese population.

scholarly journals 12 new susceptibility loci for prostate cancer identified by genome-wide association study in Japanese population

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Ryo Takata ◽  
Atsushi Takahashi ◽  
Masashi Fujita ◽  
Yukihide Momozawa ◽  
Edward J. Saunders ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Japanese Population ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
European Population ◽  
Genome Wide Association ◽  
High Risk Population ◽  
Genome Wide Association Studies ◽  
Susceptibility Loci ◽  
Genome Wide

Abstract Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. We here performed a GWAS and replication study using a large Japanese cohort (9,906 cases and 83,943 male controls) to identify novel susceptibility loci associated with PCa risk. We found 12 novel loci for PCa including rs1125927 (TMEM17, P = 3.95 × 10−16), rs73862213 (GATA2, P = 5.87 × 10−23), rs77911174 (ZMIZ1, P = 5.28 × 10−20), and rs138708 (SUN2, P = 1.13 × 10−15), seven of which had crucially low minor allele frequency in European population. Furthermore, we stratified the polygenic risk for Japanese PCa patients by using 82 SNPs, which were significantly associated with Japanese PCa risk in our study, and found that early onset cases and cases with family history of PCa were enriched in the genetically high-risk population. Our study provides important insight into genetic mechanisms of PCa and facilitates PCa risk stratification in Japanese population.

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