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BP网络与复杂疾病相关的SNPs数据分析

Back-Propagation Neural Network and the Analysis of Complex Disease-Related SNPs

作者: 李军政    伍亚舟 
单位:第三军医大学军事预防医学院(重庆400038)
关键词: SNPs;BP神经网络;参数递减方法 
分类号:
出版年·卷·期(页码):2011·30·5(543-545)
摘要:

反向传播(BP)神经网络在基因数据分析中具有重要意义。本文首先介绍了单核甘酸多态性(single
nucleotide polymorphisms,SNPs)的研究背景、分析热点及遇到的主要问题;在此基础上综述了当前常
用的SNPs分析方法及其不足;随后介绍了BP神经网络在SNPs分析中的应用,如易感基因的筛选、肿瘤的
诊断性分类等,并针对主要问题提出了解决方法,即用BP网络结合参数递减方法(parameter
decreasing method,PDM)和聚类分析进行复杂疾病相关的SNPs数据分析。

Back-propagation neural network plays an important role and is proved
significant in the analysis of genetic data. In this paper, we firstly introduced the
background, hot spots and main problems on single nucleotide polymorphisms (SNPs) analysis.
On this basis, we reviewed the common methods in SNPs analysis and their shortcomings. Then
we introduced the BP network and its applications in the analysis of SNPs, such as
susceptibility genes screening, diagnostic classification of tumors, and solutions for the
main problems. Finally we put forward a strategy, which can analyze the complex diseases
related to SNPs by the BP network combining parameter decreasing method (PDM) and cluster
analysis.

参考文献:

[1]The International HapMap Consortium. A haplotype map of the human genome[J]. Nature
,2005,437:1299-1320.
[2]The International HapMap Consortium. Integrating ethics and science in the
International HapMap Project[J]. Nat Rev Genet,2004,5:467-475.
[3]The International HapMap Consortium. The International HapMap Project[J].
Nature,2003,426:789-796.
[4]Bellman R. Adaptive Control Processes Princeton[M]. NJ: Princeton University Press,
1961.
[5]Moore JH, Williams SM. New strategies for identifying gene-gene interactions in
hypertension[J]. Ann Med, 2002, 34(2):88-95.
[6]Thornton-Wells TA, Moore JH, Haines JL. Genetics, statistics and human disease:
analytical retooling for complexity[J].Trends Genet,2004, 20(2):640-647.
[7]Schork NJ, Fallin D, Thiel B, et al. The future of genetic case-control studies[J].
Adv Genet,2001,42:191-212.
[8]Liang YL, Kelemen A. Statistical advances and challenges for analyzing correlated high
dimensional SNP data in genomic study for complex diseases[J]. Statistics Surveys
,2008,2: 43-60.
[9]Heidema AG, Boer J, Nagelkerke N, et.al. The challenge for genetic epidemiologists:
how to analyze large numbers of SNPs in relation to complex diseases[Z]. BMC
Genetics,2006, 23.
[10]Anne-Laure B, Strobl  C. Multiple Testing for SNP-SNP Interactions[J]. Statistical
Applications in Genetics and Molecular Biology, 2007,6(1):37.
[11]Neil Risch. Linkage Strategies for Genetically Complex Traits[J]. Am J Hum Genet,
1990,46:222-228.
[12]Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per
variable in logistic regression analysis[J].  J Clin Epidemiol, 1996, 49(12):1373-1379.
[13]Khlat M,Cazes MH,Genin E,et al. Robustness of case-control studies of genetic
factors to population stratification: magnitude of bias and type I error. Cancer
Epidemiology[J]. Biomarkers Prev,2004,13(10):1660-1664.
[14]Tomita Y, Tomida S, Hasegawa Y, et al. Artificial neural network approach for
selection of susceptible single nucleotide polymorphisms and construction of prediction
model on childhood allergic asthma[J].Bioinformatics, 2004,5:120.
[15]Li RN, Wang PW, GAO ZY, et al. Typing SNP based on the near-infrared spectroscopy and
artificial neural network[J]. Spectrochimica Acta Part A, 2009, 73:106-111.
[16]Javed K, Jun SW, Ringner M, et al. Classification and diagnostic prediction of
cancers using gene expression profiling and artificial neural networks[J]. Nature
Medicine, 2001,7(6):673-679.
[17]Sun YV, Sharon LRK. Imputing missing genotypic data of single-nucleotide
polymorphisms using neural networks[J]. European Journal of Human Genetics,2008, 16: 487
-495.
[18]Grigull  J, Alexandrova R, Paterson AD. Clustering of pedigrees using marker allele
frequencies: impact on linkage analysis[J]. Genet Epidemiol, 2001, 21(Suppl.): S61-S66.
[19]吴春太, 叶水英. 新型的分子标记——SNPs[J]. 景德镇高专学报, 2003,18(4):8-10.
[20]张羽. 人类基因组中单核苷酸多态性(SNPs)的研究与应用[J]. 陕西理工学院学报, 2007,23
(4):72-77.

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