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

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

1.5K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.5K
Probability Laws01:49

Probability Laws

40.7K
Overview
40.7K
Punnett Squares01:00

Punnett Squares

114.2K
Overview
114.2K
Incomplete Dominance01:43

Incomplete Dominance

22.3K
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.
22.3K
Epistasis01:39

Epistasis

46.6K
In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
46.6K

You might also read

Related Articles

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

Sort by
Same author

Diabetes risk assessment in Polish community pharmacies. Results from a pilot national screening campaign.

Archives of medical science : AMS·2026
Same author

The prevalence of obesity and its relationship to cardiometabolic risk factors in the LIPIDOGRAM studies.

Kardiologia polska·2026
Same author

Association Between Metabolic Syndrome Components, Clinical Characteristics, and Telomere Length: Factor Analysis of Mixed Data Based Cluster Analysis of LIPIDOGEN2015 Cross-Sectional Study.

High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension·2025
Same author

The European Program for Prevention (EPP) - Implementing Proven Preventing Measures Now!

Global heart·2025
Same author

Lipid management for primary and secondary stroke prevention consensus paper of the International Lipid Expert Panel (ILEP).

Progress in cardiovascular diseases·2025
Same author

Telomere length across the spectrum of metabolic health: an analysis from the LIPIDOGEN2015 study.

Archives of medical science : AMS·2025

Related Experiment Video

Updated: Jun 19, 2025

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.4K

Association between Lp(a) and T2D: a Mendelian randomization study.

Marcin Goławski1, Mateusz Lejawa1, Maciej Banach2,3

  • 1Department of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland.

Archives of Medical Science : AMS
|July 25, 2024
PubMed
Summary

This study investigated the causal link between lipoprotein(a) (Lp(a)) and type 2 diabetes (T2D). Findings indicate that genetically predicted Lp(a) levels do not causally influence T2D risk.

Keywords:
Mendelian randomizationdiabeteslipoprotein(a)

More Related Videos

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.0K
Fixation and Operational Method for Abdominal Massage in T2DM Mice
06:00

Fixation and Operational Method for Abdominal Massage in T2DM Mice

Published on: March 7, 2025

167

Related Experiment Videos

Last Updated: Jun 19, 2025

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.4K
An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.0K
Fixation and Operational Method for Abdominal Massage in T2DM Mice
06:00

Fixation and Operational Method for Abdominal Massage in T2DM Mice

Published on: March 7, 2025

167

Area of Science:

  • Cardiovascular Genetics
  • Metabolic Disease Research

Background:

  • Elevated lipoprotein(a) (Lp(a)) is a known risk factor for cardiovascular disease.
  • Observational studies suggest an inverse correlation between Lp(a) levels and type 2 diabetes (T2D).

Purpose of the Study:

  • To determine the causal relationship between genetically predicted Lp(a) and the risk of developing T2D using Mendelian randomization.

Main Methods:

  • A two-sample Mendelian randomization (MR) study design was employed.
  • Utilized large-scale genetic data from the UK Biobank and FinnGen consortia.
  • Primary analysis applied the inverse-variance weighted mean (IVM) method.

Main Results:

  • No statistically significant association was found between genetically predicted Lp(a) levels and T2D risk (p = 0.362).
  • Analysis included data from 563,420 individuals.

Conclusions:

  • Genetically predicted lipoprotein(a) concentration is not causally associated with the risk of type 2 diabetes.
  • This MR study challenges the hypothesis of a direct causal link between Lp(a) and T2D pathogenesis.