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تحليل كتل عدم الانفصال الارتباطي (LD)×تحليل الخلط السكاني×
المجالعلم الوراثةعلم الوراثة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20022009
صاحب الطريقةShaun Gabriel & Eric LanderDavid Alexander & Jonathan Novembre
النوعHaplotype analysis methodClustering and inference method
المصدر التأسيسيGabriel, 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 ↗
الأسماء البديلةHaplotype block analysis, LD mapping, Block structure analysisPopulation structure inference, Ancestry analysis, ADMIXTURE
ذات صلة54
الملخصLinkage 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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ScholarGateقارن الطرق: LD Block Analysis · Admixture Analysis. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare