title: Fractional populations in multiple gene inheritance.
abstract: BACKGROUND
  With complete knowledge of the human genome sequence, one of the most interesting tasks remaining is to understand the functions of individual genes and how they communicate. Using the information about genes (locus, allele, mutation rate, fitness, etc.), we attempt to explain population demographic data. This population evolution study could complement and enhance biologists' understanding about genes.
  
  
  RESULTS
  We present a general approach to study population genetics in complex situations. In the present approach, multiple allele inheritance, multiple loci inheritance, natural selection and mutations are allowed simultaneously in order to consider a more realistic situation. A simulation program is presented so that readers can readily carry out studies with their own parameters. It is shown that the multiplicity of the loci greatly affects the demographic results of fractional population ratios. Furthermore, the study indicates that some high infant mortality rates due to congenital anomalies can be attributed to multiple loci inheritance.
  
  
  BACKGROUND
  The simulation program can be downloaded from http://won.hongik.ac.kr/~mhchung/index_files/yapop.htm. In order to run this program, one needs Visual Studio.NET platform, which can be downloaded from http://msdn.microsoft.com/netframework/downloads/default.asp.
authors.affiliation: Department of Physics, Hong-Ik University, Chochiwon, Choongnam 339-800, Korea. mhchung@hongik.ac.kr
authors.forename: Myung-Hoon
authors.initials: MH
authors.lastname: Chung
authors.forename: Chul Koo
authors.initials: CK
authors.lastname: Kim
authors.forename: Kyun
authors.initials: K
authors.lastname: Nahm
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D005787:Gene Frequency / Q000235:genetics*; D030342:Genetic Diseases, Inborn / Q000235:genetics / Q000401:mortality; D040961:Genetic Drift; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D007231:Infant, Newborn; D008957:Models, Genetic; D015233:Models, Statistical; D020412:Multifactorial Inheritance / Q000235:genetics*; D009154:Mutation / Q000235:genetics; D011157:Population Dynamics; D012641:Selection, Genetic