Related Experiment Video
Updated: Jul 13, 2026

13:55
Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
Published on: February 3, 2013
Extent of linkage disequilibrium in a Sardinian sub-isolate: sampling and methodological considerations
A Tenesa1, A F Wright, S A Knott
1Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh, UK. albert.tenesa@ed.ac.uk
Human Molecular Genetics
|November 14, 2003
Summary
Linkage disequilibrium (LD) extent in Sardinian populations was high, extending up to 11 cM. Small sample sizes can significantly overestimate LD, necessitating at least 200 individuals for accurate characterization.
Area of Science:
- Population genetics
- Genetic mapping
Background:
- Linkage disequilibrium (LD) is crucial for genetic mapping studies.
- LD patterns are population-specific due to demographic history.
Purpose of the Study:
- To assess the extent of LD in a Sardinian sub-isolate.
- To evaluate the impact of sample size and data quality on LD estimates.
Main Methods:
- Genotyping of 22 polymorphic markers on chromosome 19 in 775 individuals.
- Analysis of LD using D' and allelic association significance.
- Resampling techniques to assess sample size effects.
- Evaluation of pedigree depth and allele grouping impacts.
Main Results:
- High LD levels observed, extending to 8 cM (D') and 11 cM (significance).
- Small sample sizes (26 diplotypes) led to overestimations of D' (2x) and its variance (16x).
- Pedigree depth and allele grouping influenced D' estimates.
Conclusions:
- LD estimates were robust across different analytical methods.
- Characterizing LD requires large sample sizes (>=200 unrelated individuals) due to high sampling variance.
- Findings inform experimental design for LD-based genetic mapping.
More Related Videos
Related Concept Videos
Dihybrid Crosses
Overview
Genome-wide Association Studies-GWAS
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...

