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The landscape of human STR variation
Thomas Willems1, Melissa Gymrek2, Gareth Highnam3
1Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA; Computational and Systems Biology Program, MIT, Cambridge, Massachusetts 02139, USA;
Genome Research
|August 20, 2014
Summary
This study presents the largest analysis of human short tandem repeat (STR) variation, revealing extensive genetic diversity. Findings enhance understanding of STRs in human genetics, disease, and forensics.
Area of Science:
- Human Genetics
- Genomics
- Population Genetics
Background:
- Short tandem repeats (STRs) are highly polymorphic regions in the human genome.
- STRs are implicated in genetic diseases and widely used in forensics, population genetics, and genetic genealogy.
- Comprehensive data on human STR variation remains limited.
Purpose of the Study:
- To conduct the largest-scale analysis of human STR variation to date.
- To analyze determinants of STR variation and assess the human reference genome's representation of STR alleles.
- To identify STR loci with common loss-of-function alleles and estimate linkage disequilibrium with SNPs.
Main Methods:
- Analysis of nearly 700,000 STR loci from over 1000 individuals in Phase 1 of the 1000 Genomes Project.
- Application of extensive quality control measures to ensure reliable allelic spectra.
- Utilizing the generated STR call set for various analytical investigations.
Main Results:
- Reliable allelic spectra were obtained for approximately 90% of analyzed STR loci.
- Determinants of STR variation were analyzed, alongside an assessment of STR allele representation in the human reference genome.
- STR loci with common loss-of-function alleles were identified, and linkage disequilibrium with common SNPs was estimated.
Conclusions:
- This study provides unprecedented insights into human STR variation.
- The findings significantly advance our understanding of genetic diversity beyond classical point mutations.
- The comprehensive STR data has broad implications for genetic research, disease studies, and forensic applications.
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