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Genome-wide Association Studies-GWAS01:11

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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.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Ancestral Spectrum Analysis With Population-Specific Variants.

Gang Shi1, Qingmin Kuang1

  • 1State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China.

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|October 14, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces Ancestral Spectrum Analyzer (ASA) to analyze population-specific variants for inferring ancestral proportions in admixed populations. ASA effectively dissects recent and ancient admixtures using reference populations and single nucleotide polymorphisms (SNPs).

Keywords:
admixtureancestry inferencebest linear unbiased estimatorpopulation-specific SNPrare variants

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Area of Science:

  • Population genetics
  • Genomic analysis
  • Bioinformatics

Background:

  • Advancements in sequencing technology enable large-scale population studies, revealing complex histories of divergence, admixture, and migration.
  • Population-specific variants, often rare and recent mutations, are crucial for understanding population substructures but lack adequate computational analysis tools.
  • Existing methods struggle to analyze recent admixtures and accurately assess the utility of reference populations as proxies for admixing sources.

Purpose of the Study:

  • To develop and present a novel computational method for analyzing population-specific variants to infer ancestral proportions in admixed populations.
  • To introduce Ancestral Information, a method based on the best linear unbiased estimator (BLUE), for quantifying ancestral proportions and evaluating reference population proxies.
  • To create the Ancestral Spectrum Analyzer (ASA) program to implement these methods and facilitate the analysis of population-specific genetic data.

Main Methods:

  • Utilizing reference populations and population-specific single nucleotide polymorphisms (SNPs) to infer ancestral proportions.
  • Developing and applying the Ancestral Information metric, a best linear unbiased estimator (BLUE) of ancestral proportion.
  • Implementing the Ancestral Spectrum Analyzer (ASA) software for analyzing high-coverage sequencing data.

Main Results:

  • Ancestral Information provides a robust measure of ancestral proportions, comparable across studies and resilient to genetic outliers, related samples, and varying admixed sample sizes.
  • The ancestral spectrum effectively detects genetic outliers and explores co-ancestry between study and reference populations.
  • ASA successfully analyzed data from the 1000 Genomes Project and HGDP, demonstrating the ability to distinguish recent from ancient admixtures in American populations.

Conclusions:

  • The proposed methods and ASA program offer a powerful new tool for analyzing population-specific variants and understanding admixture histories.
  • Ancestral Spectrum Analyzer facilitates the dissection of complex admixture events, enhancing our understanding of population genetic structures.
  • The approach is valuable for population geneticists studying human migration, admixture, and evolutionary history.