Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.6K
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...
12.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fast and sensitive detection of targeted gene fusions using frequency minimizers and fuzzy pattern matching with Fuzzion2.

Cell reports methods·2025
Same author

Porphyrins as cofactors in enzyme-catalyzed organic reactions.

Biophysics reports·2025
Same author

Chloramine chemistry as a missing link in atmospheric chlorine cycling.

Science advances·2025
Same author

Intelligent molecular logic computing toolkits: nucleic acid-based construction, functionality, and enhanced biosensing applications.

Chemical science·2025
Same author

Effect of Remote Fetal Monitoring on Maternal and Fetal Outcomes in High-Risk Pregnancies: A Systematic Review and Meta-Analysis.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2025
Same author

The genomic landscape of relapsed infant and childhood KMT2A-rearranged acute leukemia.

Nature communications·2025

Related Experiment Video

Updated: May 2, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

16.5K

Needles in the haystack: identifying individuals present in pooled genomic data.

Rosemary Braun1, William Rowe, Carl Schaefer

  • 1Laboratory of Population Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America. braunr@mail.nih.gov

Plos Genetics
|October 3, 2009
PubMed
Summary
This summary is machine-generated.

A new genetic distance metric struggles with accuracy, showing higher false positives than expected. Despite limitations in identifying individuals, it offers potential for ancestry and disease prediction research.

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

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

Published on: June 21, 2018

9.2K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Related Experiment Videos

Last Updated: May 2, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

16.5K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

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

Published on: June 21, 2018

9.2K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Area of Science:

  • Population Genetics
  • Statistical Genomics
  • Bioinformatics

Background:

  • A novel genetic distance metric was recently proposed to infer individual presence in population samples using allele frequencies.
  • The metric's assumptions, limitations, and practical utility required further characterization.

Purpose of the Study:

  • To empirically test and analytically investigate a novel genetic distance metric.
  • To evaluate the metric's assumptions, limitations, and performance in classifying individuals within population samples.

Main Methods:

  • Empirical testing using publicly available genotype data.
  • Analytical investigations into the metric's statistical properties and null distribution.
  • Assessment of false-positive rates and threshold calibration.

Main Results:

  • The null distribution of the metric is sensitive to underlying assumptions, complicating accurate threshold calibration.
  • Empirical tests revealed significantly higher false-positive rates than previously reported.
  • The metric's current form is inadequate for reliably identifying individuals within a sample.

Conclusions:

  • The proposed genetic distance metric exhibits practical limitations, particularly concerning false-positive rates.
  • Future research could adapt the metric for applications in ancestry inference and disease prediction.
  • Findings have implications for forensic science and the privacy of Genome-Wide Association Study (GWAS) participants.