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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Characterizing features affecting local ancestry inference performance in admixed populations.

Jessica Honorato-Mauer1, Nirav N Shah1, Adam X Maihofer2

  • 1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

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Summary

Local Ancestry Inference (LAI) accuracy varies by ancestry, with Amerindigenous (AMR) tracts showing lower accuracy. Optimizing LAI for admixed populations requires well-matched reference panels for improved genomic study results.

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Area of Science:

  • Genomics
  • Population Genetics
  • Bioinformatics

Background:

  • Accurate Local Ancestry Inference (LAI) is essential for genomic studies of admixed populations.
  • Existing LAI methods require optimization for diverse ancestries, particularly those found in Latin America.

Purpose of the Study:

  • To evaluate LAI accuracy across African (AFR), Amerindigenous (AMR), and European (EUR) ancestries.
  • To establish guidelines for optimal LAI strategies in admixed populations.
  • To assess the impact of reference panel composition on LAI performance.

Main Methods:

  • Simulated LD-informed admixed haplotypes using 2 and 3-way admixture models.
  • Implemented a standard LAI pipeline with three reference panel compositions.
  • Quantified LAI accuracy by examining miscall frequencies and true positive rates (TPR).

Main Results:

  • Amerindigenous (AMR) tracts exhibited lower LAI accuracy (88-94% TPR) compared to European (EUR, 96-99% TPR) and African (AFR, 98-99% TPR) tracts.
  • Miscalls most frequently assigned European ancestry to true Amerindigenous sites.
  • Well-matched, smaller reference panels yielded comparable accuracy to larger, mismatched panels, with increased computational efficiency.

Conclusions:

  • LAI accuracy is ancestry-dependent, with significant challenges for Amerindigenous segments.
  • Reference panel matching is critical for accurate LAI, outperforming panel size alone.
  • Improved reference panels, including underrepresented populations, are vital for advancing LAI in diverse admixed groups.