Rebbeck T R, Lustbader E D, Buetow K H
Division of Population Science, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Genet Epidemiol. 1994;11(5):419-29. doi: 10.1002/gepi.1370110504.
The ability to detect or reject genetic linkage in studies of human cancer is often diminished because multiple affected relatives in a pedigree are unavailable for analysis. The observation of somatic allele loss in tumors can provide knowledge about gametic phase. Therefore, consideration of tumor genotype data could be used to obtain knowledge about gametic phase ordinarily gained from a larger sample of individuals in cancer families. The objective of the present study is to describe a method for improving the power to detect or reject genetic linkage by using knowledge about somatic genetic changes in tumor tissue. A modification to the lod score method of linkage analysis is proposed in which knowledge of gametic phase in the linkage likelihood is inferred from observations of loss of constitutional heterozygosity (LoH) in tumor tissue. This methodology was evaluated using a double backcross nuclear family with a pair of offspring. The expected lod score improved substantially when tumor genotype data were included in the analysis. For example, when the haplotype remaining in tumor tissue was identical to the inherited haplotype in constitutional tissue 99% of the time, linkage analyses without tumor genotype data would require a 2-5 times larger sample of offspring pairs to conclude linkage with an expected lod score value of 3 or greater, compared to analyses incorporating tumor genotype data. These results suggest that consideration of tumor genotype data using the proposed method can substantially improve the power of linkage analyses in cancer families.
在人类癌症研究中,检测或排除基因连锁的能力常常会降低,因为家系中多个患病亲属无法用于分析。肿瘤中体细胞等位基因缺失的观察可以提供有关配子期的信息。因此,考虑肿瘤基因型数据可用于获取通常从癌症家族中更大样本个体获得的关于配子期的信息。本研究的目的是描述一种通过利用肿瘤组织中体细胞遗传变化的知识来提高检测或排除基因连锁能力的方法。提出了一种对连锁分析的对数优势分数法的修改方法,其中连锁可能性中的配子期信息是从肿瘤组织中结构杂合性缺失(LoH)的观察中推断出来的。使用一个具有一对后代的双回交核心家系对该方法进行了评估。当分析中纳入肿瘤基因型数据时,预期的对数优势分数显著提高。例如,当肿瘤组织中剩余的单倍型在99%的情况下与结构组织中遗传的单倍型相同时,与纳入肿瘤基因型数据的分析相比,不使用肿瘤基因型数据的连锁分析需要大2至5倍的后代对样本才能得出预期对数优势分数值为3或更高的连锁结论。这些结果表明,使用所提出的方法考虑肿瘤基因型数据可以显著提高癌症家族连锁分析的能力。