Y-chromosomal microsatellite mutation rates: differences in mutation rate between and within loci
B Myhre Dupuy1, M Stenersen1, T Egeland2
1Institute of Forensic Medicine, University of Oslo, Rikshospitalet, Oslo, Norway.
Human Mutation
|January 15, 2004
Summary
Mutation rates at Y-chromosomal short tandem repeat (STR) loci vary significantly between and within loci. These Y-STR mutation rate differences necessitate allele-specific estimates for forensic and population genetics.
Area of Science:
- Population Genetics
- Forensic Genetics
- Human Evolutionary Genetics
Background:
- Accurate Y-chromosomal short tandem repeat (STR) mutation rates are crucial for paternity testing and tracing Y chromosome lineage origins.
- Existing data suggest considerable variability in mutation rates among Y-STR loci (interlocus) and within individual loci (intralocus).
Purpose of the Study:
- To investigate Y-STR mutation rate variability across nine specific Y-STR loci.
- To analyze the relationship between mutation rates, STR allele length, and paternal age.
- To determine if Y-STR mutation rates differ across major Y-chromosome haplogroups.
Main Methods:
- Analyzed 1,766 confirmed father-son pairs (15,894 meioses) for mutations at nine Y-STR loci.
- Genotyped five biallelic markers to define Y-chromosome haplogroups.
- Calculated mutation rates, noting gains and losses, and assessed correlations with allele length and paternal age.
Main Results:
- Observed 36 fragment length mutations, with a significant surplus of gains (24 gains vs. 12 losses).
- Mutation rate positively correlated with STR repeat length, showing excess losses in long alleles and gains in short alleles.
- Significant interlocus differences in mutation rates were found, ranging from zero to eight mutations per locus. No correlation with paternal age was observed.
Conclusions:
- Y-STR mutation rates exhibit significant locus-specific and allele-specific variation.
- Mutation rate differences are influenced by allele size and vary between haplogroups.
- Allele-specific mutation rate estimates are essential for accurate forensic and population genetic applications.
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