TLINKAGE-IMPRINT: A model-based approach to performing two-locus genetic imprinting analysis

被引:3
|
作者
Shete, Sanjay [1 ]
Zhou, Xiaojun [1 ]
机构
[1] Univ Texas, MD Anderson Canc Ctr, Dept Epidemiol, Unit 1340, Houston, TX 77030 USA
关键词
linkage; two-trait-loci; imprinting; parametric;
D O I
10.1159/000096418
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Objectives: 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. Methods: 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. Results: 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. Conclusions: 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. Copyright (c) 2006 S. Karger AG, Basel.
引用
收藏
页码:145 / 156
页数:12
相关论文
共 50 条
  • [1] Reinforcement of genetic coherence in a two-locus model
    Gregorius, Hans-Rolf
    Steiner, Wilfried
    BMC EVOLUTIONARY BIOLOGY, 2001, 1 (1)
  • [2] Reinforcement of genetic coherence in a two-locus model
    Hans-Rolf Gregorius
    Wilfried Steiner
    BMC Evolutionary Biology, 1
  • [3] Loss of genetic variation in the two-locus multiallelic haploid model
    Pontz, Martin
    Feldman, Marcus W.
    THEORETICAL POPULATION BIOLOGY, 2020, 136 : 12 - 21
  • [4] Two-locus approach of segregation and linkage analysis in the study of complex traits
    Xu, JF
    Taylor, EW
    Panhuysen, CIM
    Prenger, VL
    Koskela, R
    Kiemeney, B
    LaBuda, MC
    Maestri, NE
    Meyers, DA
    GENETIC EPIDEMIOLOGY, 1995, 12 (06) : 825 - 830
  • [5] Polymorphism maintenance in a spatially structured population: A two-locus genetic model of niche construction
    Han, XZ
    Li, ZZ
    Hui, C
    Zhang, F
    ECOLOGICAL MODELLING, 2006, 192 (1-2) : 160 - 174
  • [6] Allelic penetrance approach as a tool to model two-locus interaction in complex binary traits
    Sepulveda, N.
    Paulino, C. D.
    Carneiro, J.
    Penha-Goncalves, C.
    HEREDITY, 2007, 99 (02) : 173 - 184
  • [7] Allelic penetrance approach as a tool to model two-locus interaction in complex binary traits
    N Sepúlveda
    C D Paulino
    J Carneiro
    C Penha-Gonçalves
    Heredity, 2007, 99 : 173 - 184
  • [8] A model-based approach for analysis of spatial structure in genetic data
    Yang, Wen-Yun
    Novembre, John
    Eskin, Eleazar
    Halperin, Eran
    NATURE GENETICS, 2012, 44 (06) : 725 - U163
  • [9] A model-based approach for analysis of spatial structure in genetic data
    Wen-Yun Yang
    John Novembre
    Eleazar Eskin
    Eran Halperin
    Nature Genetics, 2012, 44 : 725 - 731
  • [10] MCMC-based linkage analysis for complex traits on general pedigrees: Multipoint analysis with a two-locus model and a polygenic component
    Sung, Yun Ju
    Thompson, Elizabeth A.
    Wijsman, Ellen M.
    GENETIC EPIDEMIOLOGY, 2007, 31 (02) : 103 - 114