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Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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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Comparing Copy Number Variations and SNPs02:26

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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.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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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.
GWAS does not require the identification of the target gene involved in...
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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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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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.
In contrast, regions which code...
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Related Experiment Video

Updated: Aug 29, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Fast and accurate kinship estimation using sparse SNPs in relatively large database searches.

June Snedecor1, Tim Fennell2, Seth Stadick2

  • 1Verogen. Verogen Inc., 11111 Flintkote Ave, San Diego, CA 92121, USA.

Forensic Science International. Genetics
|September 10, 2022
PubMed
Summary

Forensic genetic genealogy now uses a novel windowed kinship algorithm for sparse SNP data, improving kinship analysis in challenging forensic samples. This method offers comparable performance to traditional segment matching for identifying relatives.

Keywords:
Extended kinshipForenSeq KintelligenceForensic genetic genealogyGEDmatchInvestigative genetic genealogyPCR-based FGG profilesWindowed kinship algorithm

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Area of Science:

  • Forensic Genetics
  • Population Genetics
  • Bioinformatics

Background:

  • Forensic genetic genealogy (FGG) traditionally uses dense single nucleotide polymorphism (SNP) profiles for kinship analysis.
  • Existing methods often require high-quality and quantity DNA, which is frequently unavailable in forensic casework.
  • Segment-based identical by descent (IBD) analysis is robust for distant relationships but DNA-dependent.

Purpose of the Study:

  • To develop and evaluate a novel kinship inference algorithm for sparse SNP data applicable to challenging forensic samples.
  • To assess the performance of a windowed kinship approach using a 10K SNP multiplex kit for forensic genetic genealogy.
  • To compare the efficacy of the new method against traditional segment matching in identifying familial relationships.

Main Methods:

  • Development of a windowed kinship algorithm, a modification of PC-AiR and PC-Relate, for genetic relatedness inference.
  • Utilized a 10,230 SNP (10K multiplex) PCR-based assay (ForenSeq™ Kintelligence Kit) for DNA profiling.
  • Employed simulated and empirical data to evaluate the algorithm's performance across various relationship degrees.

Main Results:

  • The windowed kinship algorithm demonstrated performance comparable to segment matching for first, second, and third-degree relationships.
  • The method showed reasonable accuracy for fourth-degree relationships, with a reduced rate of false kinship associations.
  • Effective kinship detection was achieved even with sparser SNP sets typical of difficult forensic casework samples.

Conclusions:

  • The whole genome kinship approach using a windowed kinship algorithm is a viable alternative for FGG, especially with limited DNA.
  • This method enhances the utility of SNP data from forensic samples for identifying biological relatives.
  • The 10K SNP multiplex and windowed kinship algorithm provide a powerful tool for advancing forensic genetic genealogy investigations.