Association Analysis Between SNP And Autism Based On Microarray Method

Single nucleotide polymorphisms (SNP) is one of the most importment gene polymorphisms. Different SNP types lead to different disease susceptibility and drug response. So identification of the SNPs associated with human disease phenotypes has great significance for diagnosis and novel therapy of multiplex gene diseases.Autism is a serious pervasive development disorder. So far, the cause and mechanism for it has not been clear yet. During these years, twin and family studies of autism indicate the great important effect of genetic factors to the happening of such disease. The possibility of its inheritance is high up to a percentage of 90, and it is a multiplex genes related disease.Recently, there are more and more researches on the identification of diseases associated with gene polymorphisms. It sufficiently shows that such kind of studies is popular during post-gene ages. However, this kind of studies requires a great amount of work on identification of the gene types in SNP. Now the appearance of SNP detection methods based on microarray provide a short cut for the process of samples.This thesis summarizes the existent SNP detection methods based on microarray, and makes further research on the high-throughput detection ability of microarray, introducing several unconventional PCR methods such as add-on PCR, Multiplex PCR and Asymmetric PCR into the process of samples preparation. Here, we discuss a detection method based on microarray simultaneously aiming at multiplex SNP sites and different samples, and finally establish a process of method of it.In another part of this thesis we identify the gene types of 3 SNP sites on RELN gene of 81 autism trios using the methods given above, and then make association analysis between these 3 SNP sites on RELN gene and autism through transmission disequilibrium test(TDT).