Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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...

Pharmacogenomics: Identification of New Drug Targets

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

Incomplete Dominance

Incomplete Dominance

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.

You might also read

Related Articles

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

Sort by

Same author

Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions.

Rheumatology international·2026

Same author

Predicting the risk of venous thromboembolism events in older adults with rheumatoid arthritis after initiating targeted disease-modifying antirheumatic drugs: a comparison of the random survival forest and regularized cox regression models.

Current medical research and opinion·2026

Same author

A cross-sectional analysis of the vaginal microenvironment in rheumatoid arthritis.

Microbiology spectrum·2026

Same author

Interpretable Ensemble Machine Learning Prediction of Nonadherence and the Risk of Nonpersistence of Targeted Disease-Modifying Antirheumatic Agents in Older Adults With Rheumatoid Arthritis.

Clinical therapeutics·2026

Same author

Comparison of Opioid Utilization in Older Adults with Rheumatoid Arthritis before and after Initiating Biological or Targeted Synthetic Disease-Modifying Antirheumatic Drugs.

Drugs - real world outcomes·2025

Same author

Dose optimization of lymph node-targeted cyclosporine-A for lupus-driven vasculopathy.

Journal of controlled release : official journal of the Controlled Release Society·2025

Search research articles

Related Experiment Video

Updated: Jul 6, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Published on: June 16, 2020

Genetics and genomic studies in scleroderma (systemic sclerosis).

Sandeep K Agarwal¹, Filemon K Tan, Frank C Arnett

¹Division of Rheumatology, Department of Internal Medicine, The University of Texas Health Science Center at Houston, 6431 Fannin, MSB 5.270, Houston, TX 77030, USA.

Rheumatic Diseases Clinics of North America

|March 11, 2008

Summary

Scleroderma is a complex polygenic disease influenced by genetic predisposition and environmental factors. Research is actively investigating these genetic links to improve disease risk assessment, diagnosis, and treatment strategies.

More Related Videos

Vasodilation of Isolated Vessels and the Isolation of the Extracellular Matrix of Tight-skin Mice

Vasodilation of Isolated Vessels and the Isolation of the Extracellular Matrix of Tight-skin Mice

Published on: March 24, 2017

Related Experiment Videos

Last Updated: Jul 6, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Published on: June 16, 2020

Vasodilation of Isolated Vessels and the Isolation of the Extracellular Matrix of Tight-skin Mice

Vasodilation of Isolated Vessels and the Isolation of the Extracellular Matrix of Tight-skin Mice

Published on: March 24, 2017

Area of Science:

Immunology
Genetics
Rheumatology

Background:

Scleroderma is a complex autoimmune disease with a significant genetic component.
The interplay between genetic susceptibility and environmental triggers is not fully understood.

Purpose of the Study:

To review the evidence supporting a strong genetic link in scleroderma.
To explore potential pathogenetic mechanisms driven by genetic factors.
To discuss the potential clinical applications of genetic research in scleroderma.

Main Methods:

Review of existing scientific literature and genetic studies on scleroderma.
Analysis of evidence implicating specific genes and genetic variations.
Discussion of the interaction between genetic and environmental factors.

Main Results:

Strong evidence supports a polygenic inheritance pattern in scleroderma.
Specific genetic determinants are being identified as key contributors.
Genetic factors likely interact with environmental exposures to initiate disease.

Conclusions:

Genetic research is crucial for understanding scleroderma pathogenesis.
Identifying genetic markers may lead to improved clinical utility for risk prediction, diagnosis, and prognosis.
Further investigation into genetic-environmental interactions could reveal novel therapeutic targets.