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使用Affymetrix SNP基因分型阵列对未配对样本进行杂合性缺失的非参数估计。

Nonparametric estimation of LOH using Affymetrix SNP genotyping arrays for unpaired samples.

作者信息

Huggins Richard, Li Ling-Hui, Lin You-Chin, Yu Alice L, Yang Hsin-Chou

机构信息

Department of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, 3010, Australia.

Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, 115, Taiwan.

出版信息

J Hum Genet. 2008;53(11-12):983-990. doi: 10.1007/s10038-008-0340-9. Epub 2008 Nov 7.

Abstract

Studies of loss of heterozygosity (LOH) play an important role in cancer research. In this paper, we developed a two-step procedure to examine LOH by comparing unpaired tumour and normal samples. In the first step we determined which chromosomes significantly differ between the two sets of samples by using nonparametric procedures. We then used the biplot data visualisation technique and homozygosity intensity estimates to determine the regions of these chromosomes that required further examination. We illustrated our method by examining 22 autosomes in samples of 95 normal controls and 14 acute lymphoblastic leukaemia patients. The genomewide scan of LOH with the Affymetrix Human Mapping 100K Set successfully identified the important tumour suppressor gene, CDKN2A, whose deletion was validated by quantitative polymerase chain reaction in multiple patients of this study.

摘要

杂合性缺失(LOH)研究在癌症研究中发挥着重要作用。在本文中,我们开发了一种两步法,通过比较未配对的肿瘤样本和正常样本检测LOH。第一步,我们使用非参数方法确定两组样本之间哪些染色体存在显著差异。然后,我们使用双标图数据可视化技术和纯合性强度估计来确定这些染色体中需要进一步检测的区域。我们通过检测95名正常对照和14名急性淋巴细胞白血病患者样本中的22条常染色体来说明我们的方法。使用Affymetrix Human Mapping 100K Set进行的全基因组LOH扫描成功鉴定出重要的肿瘤抑制基因CDKN2A,本研究中多名患者的定量聚合酶链反应验证了该基因的缺失。

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