Sadaaki Takata

To improve imputation quality for genome-wide association studies (GWAS) conducted on the Japanese population, we developed and evaluated four Japanese population-specific reference panels. These panels were constructed through the augmentation of the 1000 Genomes Project (1KG) panel using Japanese whole genome sequencing (WGS) data, with sample sizes ranging from 1 K to 7 K individuals enrolled through the Biobank Japan (BBJ) project, and sequencing depths ranging from 3× to 30×. Among these panels, an augmented reference panel comprising 7472 WGS samples of mixed depth (1KG+7K) exhibit the greatest improvement in imputation quality relative to the Trans-Omics for Precision Medicine (TOPMed) reference panel. Notably, we observe these improvements primarily for rare variants with a minor allele frequency (MAF) P < 5 × 10^–8) in the 1KG+7K imputation output yet remaining undetected when the same sample set is imputed up to the TOPMed reference panel. In summary, the 1KG+7K panel demonstrates significant advantages in the discovery of trait-associated loci, particularly those influenced by low-frequency association signals.

We generated Japanese Encyclopedia of Whole-Genome/Exome Sequencing Library (JEWEL), a high-depth whole-genome sequencing dataset comprising 3256 individuals from across Japan. Analysis of JEWEL revealed genetic characteristics of the Japanese population that were not discernible using microarray data. First, rare variant–based analysis revealed an unprecedented fine-scale genetic structure. Together with population genetics analysis, the present-day Japanese can be decomposed into three ancestral components. Second, we identified unreported loss-of-function (LoF) variants and observed that for specific genes, LoF variants appeared to be restricted to a more limited set of transcripts than would be expected by chance, with PTPRD as a notable example. Third, we identified 44 archaic segments linked to complex traits, including a Denisovan-derived segment at NKX6-1 associated with type 2 diabetes. Most of these segments are specific to East Asians. Fourth, we identified candidate genetic loci under recent natural selection. Overall, our work provided insights into genetic characteristics of the Japanese population.

Mobile genetic elements (MEs) are heritable mutagens that recursively generate structural variants (SVs). ME variants (MEVs) are difficult to genotype and integrate in statistical genetics, obscuring their impact on genome diversification and traits. We developed a tool that accurately genotypes MEVs using short-read whole-genome sequencing (WGS) and applied it to global human populations. We find unexpected population-specific MEV differences, including an Alu insertion distribution distinguishing Japanese from other populations. Integrating MEVs with expression quantitative trait loci (eQTL) maps shows that MEV classes regulate tissue-specific gene expression by shared mechanisms, including creating or attenuating enhancers and recruiting post-transcriptional regulators, supporting class-wide interpretability. MEVs more often associate with gene expression changes than SNVs, thus plausibly impacting traits. Performing genome-wide association study (GWAS) with MEVs pinpoints potential causes of disease risk, including a LINE-1 insertion associated with keloid and fasciitis. This work implicates MEVs as drivers of human divergence and disease risk.

Purpose To investigate the regional differences in the genes and variants causing retinitis pigmentosa (RP) in Japan Study design Retrospective multicenter study Methods In total, 1204 probands of each pedigree clinically diagnosed with nonsyndromic RP were enrolled from 5 Japanese facilities. The regions were divided into the Tohoku region, the Kanto and Chubu regions, and the Kyushu region according to the location of the hospitals where the participants were enrolled. We compared the proportions of the causative genes and the distributions of the pathogenic variants among these 3 regions. Results The proportions of genetically solved cases were 29.4% in the Tohoku region (n = 500), 29.6% in the Kanto and Chubu regions (n = 196), and 29.7% in the Kyushu region (n = 508), which did not differ statistically (P = .99). No significant regional differences in the proportions of each causative gene in genetically solved patients were observed after correction by multiple testing. Among the 29 pathogenic variants detected in all 3 regions, only p.(Pro347Leu) in RHO was an autosomal dominant variant; the remaining 28 variants were found in autosomal recessive genes. Conversely, 78.6% (275/350) of the pathogenic variants were detected only in a single region, and 6 pathogenic variants (p.[Asn3062fs] in EYS, p.[Ala315fs] in EYS, p.[Arg872fs] in RP1, p.[Ala126Val] in RDH12, p.[Arg41Trp] in CRX, and p.[Gly381fs] in PRPF31) were frequently found in ≥ 4 patients in the single region. Conclusion We observed region-specific pathogenic variants in the Japanese population. Further investigations of causative genes in multiple regions in Japan will contribute to the expansion of the catalog of genetic variants causing RP.