A web-based survey on various symptoms of computer vision syndrome and the genetic understanding based on a multi-trait genome-wide association study.

A variety of eye-related symptoms due to the overuse of digital devices is collectively referred to as computer vision syndrome (CVS). In this study, a web-based survey about mind and body functions, including eye strain, was conducted on 1998 Japanese volunteers. To investigate the biological mechanisms behind CVS, a multi-trait genome-wide association study (GWAS), a multivariate analysis on individual-level multivariate data, was performed based on the structural equation modeling methodology assuming a causal pathway for a genetic variant to influence each symptom via a single common latent variable. Twelve loci containing lead variants with a suggestive level of significance were identified. Two loci showed relatively strong signals and were associated with TRABD2B relative to the Wnt signaling pathway and SDK1 having neuronal adhesion and immune functions, respectively. By utilizing publicly available eQTL data, colocalization between GWAS and eQTL signals for four loci was detected, and a locus on 2p25.3 showed a strong colocalization (PPH4 > 0.9) on retinal MYT1L, known to play an important role in neuronal differentiation. This study suggested that the use of multivariate questionnaire data and multi-trait GWAS can lead to biologically reasonable findings and enhance our genetic understanding of complex relationships among symptoms related to CVS.

Identification of novel noninvasive markers for diagnosing nonalcoholic steatohepatitis and related fibrosis by data mining.

UNLABELLED: It is important that patients with nonalcoholic steatohepatitis (NASH) are diagnosed and treated early to prevent serious complications, such as liver cirrhosis or hepatocellular carcinoma. However, current methods for NASH diagnosis are invasive given that they rely on liver biopsy, making early diagnosis difficult. In this study, we developed novel noninvasive markers for the diagnosis of NASH and NASH-related fibrosis. A total of 132 Japanese patients with nonalcoholic fatty liver disease were included in this study. Blood samples were collected, and 261 biomolecules were quantified in serum. Using cluster and pathway analyses, we identified biomolecule modules connected to biological events that occur with disease progression to NASH. The modules were used as variables for diagnosis, leading to a NASH diagnostic marker associated with two biological events, that is, protective response to hepatic steatosis and hepatitis-causing innate immune response. Regarding the NASH-related fibrosis marker, immunological responses to hepatocyte injury were identified as a biological event. To develop diagnostic markers for NASH and NASH-related fibrosis, specific biomolecules were selected from each biomolecule module. The former marker was obtained by averaging the levels of four biomolecules, whereas the latter was obtained by averaging the levels of two biomolecules. Both markers achieved a diagnostic accuracy of almost 0.9 of the area under the receiver operating characteristic curve, and the latter exhibited equivalent performance in an independent group of 62 prospectively recruited patients. CONCLUSION: We developed highly accurate markers for the diagnosis of both NASH and NASH-related fibrosis (i.e., FM-NASH index and FM-fibro index, respectively). These markers may be used as an alternative diagnostic tool to liver biopsy.