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

Probability Laws

Probability Laws

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Punnett Squares

Punnett Squares

Punnett Squares

Punnett Squares

You might also read

Related Articles

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

Sort by

Same author

A Simple, Unified Approach to Bayesian Risk Calculations.

Journal of genetic counseling·2015

Same author

Letters to the editor.

Journal of genetic counseling·2013

Same author

Measurement of statistical evidence on an absolute scale following thermodynamic principles.

Theory in biosciences = Theorie in den Biowissenschaften·2013

Same author

Mortality, hepatopathy and liver copper concentrations in artificially reared Jersey calves before and after reductions in copper supplementation.

The Veterinary record·2012

Same author

Panic disorder is associated with the serotonin transporter gene (SLC6A4) but not the promoter region (5-HTTLPR).

Molecular psychiatry·2008

Same author

The quantitative genetic basis of polyandry in the parasitoid wasp, Nasonia vitripennis.

Heredity·2006

Same journal

Psychosocial aspects of RUNX1-familial platelet disorder in adolescents and young adults: "The fear of knowing it could happen sometime down the road".

Journal of genetic counseling·2026

Same journal

Understanding risk perception and risk-reducing decision-making for surgery among individuals with a genetic predisposition to epithelial ovarian cancer.

Journal of genetic counseling·2026

Same journal

The expected utility and psychological impacts of exome sequencing results in the DDD-Africa study.

Journal of genetic counseling·2026

Same journal

Knowledge, acceptance, and willingness to pay for expanded carrier screening among obstetric patients in China: Implications for genetic counseling practice.

Journal of genetic counseling·2026

Same journal

A pilot qualitative study of patient understanding and perceptions of genetic counselors and cascade testing in the context of transthyretin cardiac amyloidosis.

Journal of genetic counseling·2026

Same journal

Establishment of the genetic counselor profession in Ukraine: Present challenges and prospective pathways.

Journal of genetic counseling·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 7, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

The "Circular" Problems of Calculating Risk: Dealing with Consanguinity.

M A Spence¹, S E Hodge

¹Department of Pediatrics, University of California, Irvine Medical Center, Orange, CA, 92868, maspence@uci.edu.

Journal of Genetic Counseling

|July 5, 2015

Summary

This summary is machine-generated.

Calculating inbreeding coefficients and recurrence risks in complex genetic pedigrees is challenging. This study clarifies concepts and reviews methods, recommending computer algorithms for accuracy in genetic counseling.

More Related Videos

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Published on: October 20, 2019

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Related Experiment Videos

Last Updated: Apr 7, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Published on: October 20, 2019

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Area of Science:

Human Genetics
Genetic Counseling
Biostatistics

Background:

Accurate calculation of inbreeding coefficients and recurrence risks is crucial in genetics clinics, especially for complex pedigrees with consanguinity.
Existing methods can be confusing, highlighting a need for clarification and standardized approaches.
The Human Genome Project provides gene information, but disease-specific locus assignment is slower, necessitating precise risk calculations.

Purpose of the Study:

To clarify definitions and concepts related to genetic risk calculations in complex pedigrees.
To review methods for calculating key genetic quantities: coefficient of relationship, coefficient of inbreeding, coefficient of kinship, and recurrence risk.
To address the ongoing challenges faced by genetic counselors in complex family structures.

Main Methods:

Clarification of fundamental definitions and concepts in genetic risk assessment.
Review of established and proposed methods for calculating coefficients of relationship, inbreeding, kinship, and recurrence risks.
Discussion of the utility and limitations of computer algorithms in performing these complex calculations.

Main Results:

Provides a clear framework for understanding and calculating inbreeding coefficients and recurrence risks.
Demonstrates how to apply these calculations to complex pedigrees, including those with multiple loops.
Highlights the importance of computer algorithms for accuracy while emphasizing the counselor's role in interpretation.

Conclusions:

Accurate genetic risk assessment in complex pedigrees requires a thorough understanding of underlying concepts and calculation methods.
Computer algorithms are valuable tools for genetic counselors, enhancing accuracy and efficiency in complex cases.
Genetic counselors must possess foundational knowledge to effectively utilize and interpret results from computational tools.