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LD Block Analyse×Admixture-Analyse×
FachgebietGenetikGenetik
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr20022009
UrheberShaun Gabriel & Eric LanderDavid Alexander & Jonathan Novembre
TypHaplotype analysis methodClustering and inference method
Wegweisende QuelleGabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., & Lander, E. S. (2002). The structure of haplotype blocks in the human genome. Science, 296(5576), 2225–2229. DOI ↗Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664. DOI ↗
AliasnamenHaplotype block analysis, LD mapping, Block structure analysisPopulation structure inference, Ancestry analysis, ADMIXTURE
Verwandt54
ZusammenfassungLinkage disequilibrium (LD) block analysis is a genomic method that partitions the human genome into distinct haplotype blocks—regions of limited recombination where variants are in strong statistical association. First systematically described by Gabriel and colleagues in 2002, this approach reveals the underlying structure of genetic variation and enables efficient genomic studies by reducing the number of variants needed to capture common diversity. LD block analysis forms the foundation of genome-wide association study (GWAS) design and modern population genetics.Admixture analysis is a population genetics method that infers population structure and individual ancestry from multilocus genotype data. Originally developed by Pritchard, Stephens, and Donnelly (2000) and refined by Alexander, Novembre, and Lange (2009), admixture analysis reveals how genetic variation is distributed among populations and estimates the ancestry fractions of admixed individuals. This technique is essential for understanding human evolutionary history, detecting population stratification in genetic studies, and inferring individual ancestry.
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ScholarGateMethoden vergleichen: LD Block Analysis · Admixture Analysis. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare