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

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

121
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...
121
Pharmacogenetics of Drug Metabolism: Overview01:27

Pharmacogenetics of Drug Metabolism: Overview

194
Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
194
Overview of Lipid Metabolism01:24

Overview of Lipid Metabolism

7.0K
Lipid metabolism is a crucial process in the human body that involves the synthesis and degradation of lipids. This process is essential for energy production, cell membrane formation, and hormone production, among other functions.
Lipolysis: The Breakdown of Lipids:
Lipolysis is the process of breaking down lipids, particularly triglycerides, into glycerol and fatty acids. This process typically occurs in the adipose tissue and is triggered by various hormones, including glucagon and...
7.0K
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

159
Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
159
Lipid-derived Compounds in the Human Body01:31

Lipid-derived Compounds in the Human Body

5.5K
Fats and lipids are crucial components in the human body. Some lipid-derived compounds, such as fat-soluble vitamins, eicosanoids, lipoproteins, and glycolipids, also play unique roles to support various  biological processes .
Fat-soluble Vitamins
Fat-soluble vitamins, including vitamins A, D, E, and K, are required in minimal quantities, but their deficiencies can lead to severely abnormal physiological conditions. For example, vitamin A deficiency can cause night blindness, dry skin,...
5.5K
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

138
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
138

You might also read

Related Articles

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

Sort by
Same author

A novel superior medication-based chronic disease score predicted all-cause mortality in independent geriatric cohorts.

Journal of clinical epidemiology·2018
Same author

Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Nature communications·2017
Same author

Neighborhood and healthy aging in a German city: distances to green space and senior service centers and their associations with physical constitution, disability, and health-related quality of life.

European journal of ageing·2017
Same author

Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Nature communications·2017
Same author

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.

Nature communications·2016
Same author

The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals.

Nature genetics·2016

Related Experiment Video

Updated: May 1, 2026

Lipidomics and Transcriptomics in Neurological Diseases
09:58

Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

3.3K

Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipids.

So-Youn Shin1, Ann-Kristin Petersen2, Simone Wahl3

  • 1Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK ; MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.

Genome Medicine
|April 1, 2014
PubMed
Summary

This study used statistical methods to link genetic variants, metabolites, and lipid levels in over 2,900 individuals. Results show metabolites mediate genetic effects on lipids, particularly at FADS1 and GCKR loci.

More Related Videos

The MPLEx Protocol for Multi-omic Analyses of Soil Samples
10:12

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

Published on: May 30, 2018

10.4K
Assessing Whole-Body Lipid-Handling Capacity in Mice
07:57

Assessing Whole-Body Lipid-Handling Capacity in Mice

Published on: November 24, 2020

3.7K

Related Experiment Videos

Last Updated: May 1, 2026

Lipidomics and Transcriptomics in Neurological Diseases
09:58

Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

3.3K
The MPLEx Protocol for Multi-omic Analyses of Soil Samples
10:12

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

Published on: May 30, 2018

10.4K
Assessing Whole-Body Lipid-Handling Capacity in Mice
07:57

Assessing Whole-Body Lipid-Handling Capacity in Mice

Published on: November 24, 2020

3.7K

Area of Science:

  • Genetics and Metabolomics
  • Statistical Genetics
  • Biochemistry

Background:

  • Advanced technologies allow monitoring of numerous metabolites.
  • Metabolite profiling aids in understanding genetic links to disease risk factors like blood lipids.

Purpose of the Study:

  • To statistically dissect causal relationships between genetic variants (SNPs), metabolite concentrations, and serum lipid traits.
  • To investigate causal pathways using three distinct statistical approaches.

Main Methods:

  • Applied conditional analysis, Mendelian randomization, and structural equation modeling.
  • Analyzed data from 2,973 individuals across two cohorts.
  • Focused on 95 genetic loci associated with four main serum lipids and 151 small molecule metabolites.

Main Results:

  • Identified 38 sets of single nucleotide polymorphism (SNP)-metabolite-lipid trait associations.
  • Found evidence that metabolites mediate SNP-lipid associations at 15 of these sets.
  • Observed mediation involving variants at the FADS1 and GCKR loci.

Conclusions:

  • Provides a framework for assessing the role of the metabolome in mediating genetic associations with traits.
  • Highlights the utility of integrating multi-omics data to understand complex biological pathways.