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

Human Genetics01:28

Human Genetics

1.3K
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
1.3K
Incomplete Dominance01:43

Incomplete Dominance

29.4K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
29.4K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

852
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
852
Inheritance01:25

Inheritance

1.3K
Gregor Mendel's pioneering work on the principles of inheritance fundamentally transformed our understanding of how traits are transmitted from generation to generation. His experiments with pea plants laid the groundwork for the discovery of genes, discrete units within organisms that control heredity.
Each gene exists in pairs, and the combination of these genes from both parents forms an individual's genotype. This genotype is a blueprint of potential traits. Examples of genotype...
1.3K
Genetic Screens02:46

Genetic Screens

5.4K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.4K
Genetic Variation01:25

Genetic Variation

1.1K
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,...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Indistinguishable mitochondrial phenotypes after exposure of healthy myoblasts to myalgic encephalomyelitis/chronic fatigue syndrome or control serum.

PloS one·2026
Same author

baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity.

Genome biology·2026
Same author

Epistatic contributions to human traits via transcription factor mechanisms.

medRxiv : the preprint server for health sciences·2025
Same author

Semiparametric efficient estimation of small genetic effects in large-scale population cohorts.

Biostatistics (Oxford, England)·2025
Same author

Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity.

EMBO molecular medicine·2025
Same author

Unequal access to diagnosis of myalgic encephalomyelitis in England.

BMC public health·2025
Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026
Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026
Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026
Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026
Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026
Same journal

Co-transcriptional splicing: Distinct phases, mutual benefits, and basis for nuclear architecture.

Trends in genetics : TIG·2026
See all related articles

Related Experiment Video

Updated: Dec 13, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.3K

Genetics Needs Non-geneticists.

Chris P Ponting1

  • 1MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.

Trends in Genetics : TIG
|July 29, 2020
PubMed
Summary
This summary is machine-generated.

Interdisciplinary teams are crucial for tackling big data challenges in genetics. Open sharing of expertise and mutual trust among team members, including established geneticists, fosters innovation and allows newcomers to exceed expectations.

Keywords:
big data geneticscareerscrossdisciplinarityteam working

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.2K
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

34.4K

Related Experiment Videos

Last Updated: Dec 13, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.3K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.2K
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

34.4K

Area of Science:

  • Genetics
  • Computational Biology
  • Bioinformatics

Background:

  • Genetics research generates vast amounts of big data.
  • Addressing complex genetic questions requires specialized skills in data analysis, statistics, and computation.
  • Effective collaboration is essential for scientific advancement.

Purpose of the Study:

  • To highlight the necessity of interdisciplinary collaboration in genetics.
  • To emphasize the role of open communication and trust in team dynamics.
  • To explore how to maximize the contributions of all team members, including newcomers.

Main Methods:

  • Conceptual framework outlining team collaboration requirements.
  • Discussion of trust-building mechanisms in scientific teams.
  • Analysis of factors enabling knowledge sharing among diverse experts.

Main Results:

  • Interdisciplinary teams are vital for big data genetics.
  • Open acknowledgement of expertise and limitations is key for effective collaboration.
  • Trust facilitates the sharing of diverse analytical, statistical, and computational skills.

Conclusions:

  • Fostering an environment of trust and open communication is paramount in genetics research.
  • Valuing the contributions of all team members, regardless of experience level, leads to greater innovation.
  • Interdisciplinary collaboration, built on mutual respect, is the future of big data genetics.