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Civil engineering educational
circles have always been focusing on the professional qualities and cultivation
of civil engineering students, which is also problems in civil engineering teaching. In the beginning of professional course
teaching, the author introduced an real project accident and specially
emphasized that responsibility, teamwork, seriousness, carefulness, comprehensively applying of knowledge, working in
accordance with codes are considered as quality requirements of civil
engineering students. This teaching thought is carried out through the whole
teaching process, which brings deep impression to students and good teaching
effect. The teaching thought is introduced in this paper.
Currently, genome-wide association studies have been proved
to be a powerful approach to identify risk loci. However, the molecular
regulatory mechanisms of complex diseases are still not clearly understood. It
is therefore important to consider the interplay between genetic factors and
biological networks in elucidating the mechanisms of complex disease
pathogenesis. In this paper, we first conducted a genome-wide association
analysis by using the SNP genotype data and phenotype data provided by Genetic
Analysis Workshop 17, in order to filter significant SNPs associated with the diseases. Second,
we conducted a bioinformatics analysis of gene-phenotype association matrix to identify
gene modules (biclusters). Third, we performed a KEGG enrichment test of genes
involved in biclusters to find evidence to support their functional consensus.
This method can be used for better understanding complex diseases.