Literature DB >> 11318188

A multiplicative-epistatic model for analyzing interspecific differences in outcrossing species.

R Wu1, B Li.   

Abstract

Epistasis may play an important role in evolution and speciation. Under multiplicative interactions between different loci, an analytical model is proposed to estimate genetic parameters at the individual locus level that contribute to interspecific differences in outcrossing species. The multiplicative epistasis model, inferred from a number of animal and plant experiments, suggests that genotypes at a pair of loci have genotypic values equal to the product of genotypic values at the two different loci. By considering the genetic property of outcrossing species (i.e., high polymorphisms) in the multilevel family structure analysis for an intra- and interspecific factorial mating design, a method is developed to provide estimates for allele frequencies and additive and dominant effects at individual loci in each of the two parental populations, the genotypic values of newly formed heterozygotes through species combination each with one allele from a parental population and the second from the other parental population, and the numbers of genetic factors that lead to species differentiation. Use of clones offers a tremendous power to test the adequacy of the model. However, the utilization of the model with species that cannot be cloned is also discussed. An example with interspecific hybrids of two forest tree species is used to demonstrate the model.

Mesh:

Year:  1999        PMID: 11318188     DOI: 10.1111/j.0006-341x.1999.00355.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  35 in total

1.  Glutathione S-Transferase P1 313 (A > G) Ile105Val Polymorphism Contributes to Cancer Susceptibility in Indian Population: A Meta-analysis of 39 Case-Control Studies.

Authors:  Raju K Mandal; Rama D Mittal
Journal:  Indian J Clin Biochem       Date:  2018-09-17

2.  No evidence of correlation between p53 codon 72 G > C gene polymorphism and cancer risk in Indian population: a meta-analysis.

Authors:  Raju K Mandal; Suraj S Yadav; Aditya K Panda
Journal:  Tumour Biol       Date:  2014-05-28

3.  The association between CD209 gene polymorphisms and pulmonary tuberculosis susceptibility: a meta-analysis.

Authors:  Lingling Yi; Kan Zhang; Yuqing Mo; Guohua Zhen; Jianping Zhao
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

4.  The association between common genetic variant of microRNA-499 and cancer susceptibility: a meta-analysis.

Authors:  Chengjuan Fan; Chongyan Chen; Dequan Wu
Journal:  Mol Biol Rep       Date:  2012-12-28       Impact factor: 2.316

5.  Genetic Variant Arg399Gln G>A of XRCC1 DNA Repair Gene Enhanced Cancer Risk Among Indian Population: Evidence from Meta-analysis and Trial Sequence Analyses.

Authors:  Raju K Mandal; Rama D Mittal
Journal:  Indian J Clin Biochem       Date:  2017-07-10

6.  Genetic Variant XRCC1 rs1799782 (C194T) and Risk of Cancer Susceptibility in Indian Population: A Meta-analysis of Case-Control Studies.

Authors:  Raju Kumar Mandal; Rama Devi Mittal
Journal:  Indian J Clin Biochem       Date:  2020-03-02

7.  CD14 -159 C>T gene polymorphism with increased risk of tuberculosis: evidence from a meta-analysis.

Authors:  M Y Areeshi; Raju K Mandal; Aditya K Panda; Shekhar C Bisht; Shafiul Haque
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

8.  PSCA rs2294008 Polymorphism with Increased Risk of Cancer.

Authors:  Peiliang Geng; Jianjun Li; Ning Wang; Juanjuan Ou; Ganfeng Xie; Chen Liu; Xiaoxin Zhao; Lisha Xiang; Yunmei Liao; Houjie Liang
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

9.  A meta-analysis of the association between the CC chemokine ligand 5 (CCL5) -403 G>A gene polymorphism and tuberculosis susceptibility.

Authors:  M Y Areeshi; Raju K Mandal; Aditya K Panda; Shafiul Haque
Journal:  PLoS One       Date:  2013-08-28       Impact factor: 3.240

10.  A serotonin transporter gene (SLC6A4) polymorphism is associated with reduced risk of irritable bowel syndrome in American and Asian population: a meta-analysis.

Authors:  Mohammed Y Areeshi; Shafiul Haque; Aditya K Panda; Raju K Mandal
Journal:  PLoS One       Date:  2013-09-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.