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

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

You might also read

Related Articles

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

Sort by
Same author

OPTN/SRTR 2024 Annual Data Report: Deceased Organ Donation.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2026
Same author

Corrigendum to OPTN/SRTR 2023 Annual Data Report: Introduction [American Journal of Transplantation. Volume 25, Issue 2, Supplement 1, February 2025, Pages S11-S21].

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2026
Same author

A Mycophenolate Pharmacokinetic Study with New Insights into Enterohepatic Recirculation in Kidney Transplant Recipients.

Clinical pharmacokinetics·2026
Same author

Toward Smarter Allocation by Rethinking Kidney Donor Profile Index.

American journal of kidney diseases : the official journal of the National Kidney Foundation·2025
Same author

Reply to "Real-world registry evidence beware: Old-world risk analysis may not be applicable to new world belatacept utilization".

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2025
Same author

Simultaneous Prediction of Area Under the Curves of Mycophenolic Acid and Its Metabolites and Enterohepatic Recirculation in Kidney Transplant Recipients.

Therapeutic drug monitoring·2025

Related Experiment Video

Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.0K

A Multi-Marker Test for Analyzing Paired Genetic Data in Transplantation.

Victoria L Arthur1, Zhengbang Li2,1, Rui Cao3

  • 1Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.

Frontiers in Genetics
|November 1, 2021
PubMed
Summary

Donor/recipient matching in non-human leukocyte antigen (non-HLA) regions impacts transplant success. A new Joint Score Test (JST) method improves the analysis of genetic matching effects on transplant outcomes.

Keywords:
genetic matching scoresjoint testingmulti-marker testingpaired genetic datatransplant genetics

More Related Videos

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
08:07

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation

Published on: September 6, 2017

10.2K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.3K

Related Experiment Videos

Last Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.0K
Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
08:07

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation

Published on: September 6, 2017

10.2K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.3K

Area of Science:

  • Genetics
  • Transplant Immunology
  • Statistical Genomics

Background:

  • Donor/recipient matching beyond human leukocyte antigen (HLA) regions may influence transplant outcomes.
  • Current matching scores often aggregate single-nucleotide polymorphism (SNP) data, complicating interpretation of genetic associations.
  • Identifying non-HLA matching effects can enhance the power of transplant genetics studies.

Purpose of the Study:

  • To introduce a novel statistical method, the Joint Score Test (JST), for analyzing non-HLA genetic matching in transplantation.
  • To jointly assess recipient genotype effects and gene-based matching scores in relation to transplant outcomes.
  • To improve statistical power and biological interpretability in transplant genetics research.

Main Methods:

  • Developed a multi-marker Joint Score Test (JST) incorporating Eigen decomposition for dimension reduction.
  • JST jointly tests recipient genotype SNP effects and gene-based matching scores against transplant outcomes.
  • The method accommodates distinct biological mechanisms for matching and recipient genotype effects.

Main Results:

  • Simulation studies demonstrated JST's competitiveness against existing methods like sequence kernel association test (SKAT).
  • JST showed particular strength in scenarios with low linkage disequilibrium or numerous SNPs within gene regions.
  • Application to kidney transplant data identified potential gene regions associated with acute rejection incidence.

Conclusions:

  • The Joint Score Test (JST) offers a powerful and interpretable approach for analyzing non-HLA genetic matching in transplantation.
  • This method can enhance the discovery of genetic factors influencing transplant outcomes, such as acute rejection.
  • JST provides a valuable tool for advancing transplant genetics research and potentially improving patient care.