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Related Concept Videos

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Hardy-Weinberg Principle01:49

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Related Experiment Video

Updated: Apr 15, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
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Mutation rate analysis at 19 autosomal microsatellites.

Xiao-Qin Qian1, Cai-Yong Yin1, Qiang Ji1

  • 1Department of Forensic Medicine, Nanjing Medical University, Nanjing, Jiangsu, P. R. China.

Electrophoresis
|March 31, 2015
PubMed
Summary
This summary is machine-generated.

This study analyzed microsatellite mutation rates in a large Chinese population, revealing an overall mutation rate of 1.20 × 10(-3). Most mutations occurred in the male germline and were single-step, increasing with paternal age.

Keywords:
ChineseMicrosatellitesMutation rateParentage testingPaternal age

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Area of Science:

  • Genetics
  • Population Genetics
  • Forensic Genetics

Background:

  • Accurate estimation of microsatellite mutation rates requires large sample sizes.
  • Understanding mutation characteristics is crucial for forensic and population genetics applications.

Purpose of the Study:

  • To comprehensively analyze the mutation characteristics of 19 autosomal short tandem repeat (STR) loci in a Chinese population.
  • To provide reliable mutation rate data for 19 autosomal STR loci.

Main Methods:

  • Analysis of 21,106 samples, including 11,468 parent-child meioses.
  • Examination of 217,892 allele transfers across 19 autosomal STR loci.
  • Statistical analysis of mutation rates, types, and influencing factors such as paternal age.

Main Results:

  • An overall mutation rate of 1.20 × 10(-3) was observed across 18 of 19 STR loci.
  • The majority of mutations (97.7%) were single-step, with 93% occurring in the male germline.
  • Mutation rates showed a positive correlation with paternal age at childbirth.

Conclusions:

  • The study provides valuable mutation data for 19 autosomal STR loci in the Chinese population.
  • Findings are applicable to parentage testing, kinship analysis, and population genetics.
  • The influence of paternal age on mutation rates is significant.