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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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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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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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What is Population Genetics?01:25

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Local Ancestry Inference Based on Population-Specific Single-Nucleotide Polymorphisms-A Study of Admixed Populations

Haoyue Fu1, Gang Shi1

  • 1School of Telecommunications Engineering, Xidian University, 2 South Taibai Road, Xi'an 710071, China.

Genes
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel local ancestry inference (LAI) method using population-specific SNPs to analyze admixed populations. The new method, Ancestral Spectrum Analyzer (ASA), shows robust performance even when contemporary reference populations do not perfectly match ancient ancestral ones.

Keywords:
admixturehuman populationslocal ancestry inferencepopulation-specific SNPs

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Area of Science:

  • Population Genetics
  • Human Evolutionary Studies
  • Bioinformatics

Background:

  • Human populations exhibit significant genetic admixture due to historical interactions.
  • Local Ancestry Inference (LAI) is crucial for understanding the genetic makeup of admixed individuals and has diverse applications.
  • Existing LAI methods can struggle with ancient admixtures and imperfect reference population matches.

Purpose of the Study:

  • To develop and evaluate a new LAI method utilizing population-specific single-nucleotide polymorphisms (SNPs).
  • To assess the performance of the proposed method on admixed populations within the 1000 Genomes Project (1KGP).
  • To compare the new method's accuracy against established LAI tools like RFMix, G-Nomix, and FLARE.

Main Methods:

  • Developed a novel LAI approach based on identifying population-specific SNPs within a sliding window.
  • Calculated local ancestry information vectors as moment estimators of ancestral proportions for individual haplotypes.
  • Utilized reference populations from the 1KGP (African, East Asian, European, South Asian) and HGDP (Indigenous American) for analysis.

Main Results:

  • The presence of population-specific alleles strongly indicates the ancestral origin of chromosomal segments.
  • Contemporary African (AFR), Indigenous American (AMR), and European (EUR) populations serve as effective proxies for ancestral populations.
  • The proposed method, implemented in the Ancestral Spectrum Analyzer (ASA), demonstrated comparable results to RFMix, G-Nomix, and FLARE on recent admixtures.

Conclusions:

  • The new LAI method provides reliable ancestry inference, particularly outperforming existing methods when contemporary reference populations do not accurately represent ancient ancestral populations.
  • The ASA method shows resilience to fragmented chromosomal segments and increased error rates associated with ancient admixtures.
  • This advancement offers a more robust tool for analyzing complex human population admixture.