Shete Sanjay, Zhou Xiaojun
Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Hum Hered. 2006;62(3):145-56. doi: 10.1159/000096418. Epub 2006 Oct 20.
Imprinting refers to the expression of only one copy of a gene pair, which is determined by the parental origin of the copy. Imprinted genes play a role in the development of several complex diseases, including cancers and mental disorders. In certain situations, two-trait-loci models are shown to be more powerful than one-trait-locus models. However, no current methods use pedigree structure efficiently and perform two-locus imprinting analyses. In this paper, we apply the Elston-Stewart algorithm to the parametric two-trait-loci imprinting model used by Strauch et al. [2000] to obtain a method for qualitative trait linkage analyses that explicitly models imprinting and can be applied to large pedigrees.
We considered a parametric approach based on 4 x 4 penetrance matrix to account for imprinting and modified TLINKAGE software to implement this approach. We performed simulation studies using a small and a large pedigree under dominant and imprinted and dominant or imprinted scenarios. Furthermore, we developed a likelihood ratio-based test for imprinting that compares the logarithm of odds (LOD) score obtained using the two-locus imprinting model with that obtained using the standard two-locus model that does not allow for imprinting.
In simulation studies of three scenarios where the true mode of inheritance included imprinting, accurate modeling through the proposed approach yielded higher LOD scores and better recombination fraction estimates than the traditional two-locus model that does not allow for imprinting.
This imprinting model will be useful in identifying the genes responsible for several complex disorders that are potentially caused by a combination of imprinted and non-imprinted genes.
印记是指基因对中只有一个拷贝得以表达,这由该拷贝的亲本来源决定。印记基因在包括癌症和精神障碍在内的多种复杂疾病的发展过程中发挥作用。在某些情况下,双性状位点模型比单性状位点模型更具效力。然而,目前尚无方法能有效利用系谱结构并进行双位点印记分析。在本文中,我们将埃尔斯顿 - 斯图尔特算法应用于施特劳赫等人[2000年]使用的参数化双性状位点印记模型,以获得一种用于定性性状连锁分析的方法,该方法能明确对印记进行建模且可应用于大型系谱。
我们考虑基于4×4外显率矩阵的参数化方法来解释印记现象,并对TLINKAGE软件进行修改以实现该方法。我们在显性、印记以及显性或印记的情形下,使用一个小型系谱和一个大型系谱进行了模拟研究。此外,我们开发了一种基于似然比的印记检验方法,该方法将使用双位点印记模型获得的对数优势(LOD)得分与使用不考虑印记的标准双位点模型获得的LOD得分进行比较。
在三种真实遗传模式包含印记的情形的模拟研究中,与不考虑印记的传统双位点模型相比,通过所提出的方法进行的精确建模产生了更高的LOD得分和更好的重组率估计值。
这种印记模型将有助于识别可能由印记基因和非印记基因共同作用导致的多种复杂疾病的致病基因。