👤 Yasuharu Tabara

To identify the susceptibility loci for myopic macular neovascularization (mMNV) in patients with high myopia. A genome-wide association study (GWAS) meta-analysis (meta-GWAS). We included 2783 highly myopic individuals, including 608 patients with mMNV and 2175 control participants without mMNV. We performed a meta-analysis of 3 independent GWASs conducted according to the genotyping platform (Illumina Asian Screening Array [ASA] data set, Illumina Human610 BeadChip [610K] data set, and whole genome sequencing [WGS] data set), adjusted for age, sex, axial length, and the first to third principal components. We used DeltaSVM to evaluate the binding affinity of transcription factors (TFs) to DNA sequences around the susceptibility of single nucleotide polymorphisms (SNPs). In addition, we evaluated the contribution of previously reported age-related macular degeneration (AMD) susceptibility loci. The association between SNPs and mMNV in patients with high myopia. The meta-GWAS identified rs56257842 at TEX29- LINC02337 as a novel susceptibility SNP for mMNV (odds ratio [OR] Our study identified a novel locus associated with mMNV in high myopia. Subsequent analyses offered important insights into the molecular biology of mMNV, providing the potential therapeutic targets for mMNV. Furthermore, our findings imply shared genetic susceptibility between mMNV and AMD. Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Show less

To assess the use of plasma free amino acids (PFAAs) as biomarkers for metabolic disorders, it is essential to identify genetic factors that influence PFAA concentrations. PFAA concentrations were absolutely quantified by liquid chromatography-mass spectrometry using plasma samples from 1338 Japanese individuals, and genome-wide quantitative trait locus (QTL) analysis was performed for the concentrations of 21 PFAAs. We next conducted a conditional QTL analysis using the concentration of each PFAA adjusted by the other 20 PFAAs as covariates to elucidate genetic determinants that influence PFAA concentrations. We identified eight genes that showed a significant association with PFAA concentrations, of which two, SLC7A2 and PKD1L2, were identified. SLC7A2 was associated with the plasma levels of arginine and ornithine, and PKD1L2 with the level of glycine. The significant associations of these two genes were revealed in the conditional QTL analysis, but a significant association between serine and the CPS1 gene disappeared when glycine was used as a covariate. We demonstrated that conditional QTL analysis is useful for determining the metabolic pathways predominantly used for PFAA metabolism. Our findings will help elucidate the physiological roles of genetic components that control the metabolism of amino acids. Show less

Multiple genetic loci associated with obesity or body mass index (BMI) have been identified through genome-wide association studies conducted predominantly in populations of European ancestry. We performed a meta-analysis of associations between BMI and approximately 2.4 million SNPs in 27,715 east Asians, which was followed by in silico and de novo replication studies in 37,691 and 17,642 additional east Asians, respectively. We identified ten BMI-associated loci at genome-wide significance (P < 5.0 × 10(-8)), including seven previously identified loci (FTO, SEC16B, MC4R, GIPR-QPCTL, ADCY3-DNAJC27, BDNF and MAP2K5) and three novel loci in or near the CDKAL1, PCSK1 and GP2 genes. Three additional loci nearly reached the genome-wide significance threshold, including two previously identified loci in the GNPDA2 and TFAP2B genes and a newly identified signal near PAX6, all of which were associated with BMI with P < 5.0 × 10(-7). Findings from this study may shed light on new pathways involved in obesity and demonstrate the value of conducting genetic studies in non-European populations. Show less