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Objective: To identify the genetic causes of male infertility characterized by teratozoospermia. Design: Genetic studies. Setting: Medical university. Patient(s): Two infertile brothers with teratozoospermia in a consanguineous Chinese family, another 124 sporadic infertile male patients presenting with teratozoospermia, and 200 male controls with normal fertility. Invention(s): None. Main Outcome Measure(s): Whole exome sequencing and genotype analysis to identify the potential pathogenic mutation, Sanger sequencing to validate the mutation in family members, in silico structural modeling to predict the functional consequences of mutation, and targeted next-generation sequencing to validate the mutation in sporadic cases. Result(s): A novel homozygous nonsynonymous mutation (C1991T, p.G664D) in FBXO43 (F-box only protein 43) was observed in two brothers from a consanguineous Chinese family. The mutation was segregated with the disease phenotype and was predicted to be a disease causing protein by SIFT, PolyPhen-2, and Mutation Taster. An in silico mutant FBXO43 model predicts that the mutation p.G664D causes shortening of two b-sheets, an additional a-helix, and change in loops, which may result in loss of function of the protein. The homozygous mutation of FBXO43 was absent in the 1000 Genomes Project (1000 G) and the Exome Aggregation Consortium (ExAC) databases. Subsequent mutation screening of FBXO43 in a cohort of 124 cases identified four additional cases with heterozygous FBXO43 mutations. No mutations were found in FBXO43 in 200 fertile controls. Conclusion(s): The mutation in FBXO43 is a causative factor of male infertility and teratozoospermia.

To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers’ perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers’ vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment information, driver-vision lane model, and mechanical status (last second). A corresponding assistance model showed a positive impact on drivers’ perception-response times on mountain highway curves. Model results revealed that the driver-vision lane model and visual elements did have important influence on drivers’ perception-response time. Compared with roadside passive road safety infrastructure, proper visual geometry design, timely visual guidance, and visual information integrality of a curve are significant factors for drivers’ perception-response time.

Dowling-Degos disease (DDD) is an autosomal dominant genodermatosis characterized by reticular pigmented anomaly mainly affecting flexures. Though KRT5 has been identified to be the causal gene of DDD, the heterogeneity of this disease was displayed: for example, POFUT1 and POGLUT1 were recently identified and confirmed to be additional pathogenic genes of DDD. To identify other DDD causative genes, we performed genome-wide linkage and exome sequencing analyses in a multiplex Chinese DDD family, in which the KRT5 mutation was absent. Only a novel 1-bp deletion (c.246+5delG) in POFUT1 was found. No other novel mutation or this deletion was detected in POFUT1 in a second DDD family and a sporadic DDD case by Sanger Sequencing. The result shows the genetic-heterogeneity and complexity of DDD and will contribute to the further understanding of DDD genotype/phenotype correlations and to the pathogenesis of this disease.