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

Genetic Lingo01:11

Genetic Lingo

Overview
Genetic Material01:20

Genetic Material

Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
Genetic Variation01:25

Genetic Variation

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.
Genes exist in different versions called alleles, which...
What is Genetic Engineering?00:49

What is Genetic Engineering?

Overview
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Gene Therapy00:59

Gene Therapy

Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be inserted. The...

You might also read

Related Articles

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

Sort by
Same author

Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer's disease pathogenesis.

Neuron·2026
Same author

Deep learning-based automated segmentation and quantification of glenoid and humeral head defects.

Chinese journal of traumatology = Zhonghua chuang shang za zhi·2026
Same author

DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay.

Neuron·2026
Same author

Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer's disease pathogenesis.

bioRxiv : the preprint server for biology·2026
Same author

Plant melatonin: roles and regulatory mechanisms in plant growth, development, and responses to biotic and abiotic stresses.

Plant signaling & behavior·2025
Same author

LINE1 RNA dysregulation impairs chromatin accessibility in C9ORF72- and TDP-43-linked ALS/FTD.

bioRxiv : the preprint server for biology·2025
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: May 25, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Genetic terminology.

Robert C Elston1, Jaya M Satagopan, Shuying Sun

  • 1Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA. robert.elston@cwru.edu

Methods in Molecular Biology (Clifton, N.J.)
|February 7, 2012
PubMed
Summary
This summary is machine-generated.

Genetics terminology is evolving, causing confusion between molecular and statistical geneticists. This work defines common terms to ensure clear communication in the field of statistical human genetics.

More Related Videos

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Related Experiment Videos

Last Updated: May 25, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical Genetics

Background:

  • The field of Statistical Human Genetics has a long history, with terminology evolving significantly over time.
  • Molecular discoveries have led to shifts in the meaning of genetic terms, causing a communication gap between molecular and statistical geneticists.
  • The increasing reliance on in silico (computational) methods in molecular genetics necessitates standardized terminology.

Purpose of the Study:

  • To define and clarify common genetic terms with multiple meanings.
  • To establish a well-defined, common terminology for statistical human genetics.
  • To facilitate better understanding and collaboration between molecular and statistical geneticists.

Main Methods:

  • Review and definition of commonly used terms in genetics.
  • Explanation of terminology relevant to statistical human genetics.
  • Focus on terms that have evolved due to molecular discoveries.

Main Results:

  • A comprehensive glossary of genetic terms is provided.
  • Distinctions are made between different meanings of terms used in molecular versus statistical genetics.
  • The importance of precise terminology for computational genetics is highlighted.

Conclusions:

  • Clear and standardized terminology is crucial for the advancement of statistical human genetics.
  • Addressing the semantic drift in genetic terms will improve interdisciplinary communication.
  • Adoption of a common lexicon is essential as molecular genetics becomes increasingly computational.