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Linkage disequilibrium in human populations.
Christine Lonjou1, Weihua Zhang, Andrew Collins
1Human Genetics Division, University of Southampton, Duthie Building (MP 808), Southampton General Hospital, Tremona Road, Southampton SO16 6YD, United Kingdom.
Summary
Linkage disequilibrium (LD) maps vary across human populations due to differing histories. A global LD map aids in creating regional maps, improving genetic analysis efficiency for diverse ethnic groups.
Area of Science:
- Population Genetics
- Human Evolutionary Biology
- Genomic Mapping
Background:
- Human linkage maps show population constancy, but linkage disequilibrium (LD) maps vary significantly.
- Differences in LD maps correlate with population history, particularly between sub-Saharan African and non-African populations.
- Major bottlenecks in African-derived populations altered heterozygosity and LD parameters (Malecot parameters M and epsilon).
Purpose of the Study:
- To validate the use of a cosmopolitan LD map for diverse populations.
- To establish a method for creating regional LD maps by fitting local data to a global map.
- To assess the information recovery and efficiency of LD mapping across different ethnic groups.
Main Methods:
- Development of a cosmopolitan LD map using a large, high-density typed sample.
- Fitting sample LD data to the cosmopolitan map to estimate Malecot parameters.
- Scaling cosmopolitan maps using estimated epsilon values to assess information recovery.
Main Results:
- A cosmopolitan LD map effectively represents diverse populations.
- Fitting local LD data to the cosmopolitan map allows for regional map creation.
- Scaled cosmopolitan maps recover substantial information compared to local maps, with varying scaling factors for European, Yoruba, and African American populations.
- Scaling factors suggest a common bottleneck around 173,500 years ago, distinct from the ~100,000-year-old migration out of Africa bottleneck.
Conclusions:
- Cosmopolitan LD maps are valuable tools for genetic studies across diverse human populations.
- Eurasian populations are efficient for genome-wide scans, while populations of recent African origin excel at identifying causal polymorphisms.
- The findings support evolutionary models involving ancient population bottlenecks and migrations.