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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Polygenic Traits01:18

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Polygenic Traits01:18

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Related Experiment Video

Updated: Jul 3, 2026

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

CANDID: a flexible method for prioritizing candidate genes for complex human traits.

Janna E Hutz1, Aldi T Kraja, Howard L McLeod

  • 1Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA. jehutz@artsci.wustl.edu

Genetic Epidemiology
|July 10, 2008
PubMed
Summary

Prioritizing genes for complex human traits is crucial. The CANDID algorithm offers accurate, impartial gene rankings using diverse data, improving upon existing methods for genetic research.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomewide and candidate gene studies identify polymorphisms influencing complex human traits.
  • Prioritization of candidate genes is essential due to the vast number of significant findings and the need for focused research.
  • Existing candidate gene identification algorithms have limitations in data sources and usability.

Purpose of the Study:

  • To introduce CANDID, a novel prioritization algorithm for identifying genes associated with complex human traits.
  • To provide an impartial and accurate method for ranking candidate genes.
  • To improve the efficiency and effectiveness of genetic study design and analysis.

Main Methods:

  • CANDID integrates data from publications, protein domains, cross-species conservation, gene expression, and protein-protein interactions.
  • The algorithm allows supplementation with linkage, association, and other study results.
  • Validation involved testing on known complex trait genes from the Online Mendelian Inheritance in Man database and a modeled gene discovery environment.

Main Results:

  • CANDID demonstrated high sensitivity and specificity in identifying relevant genes.
  • The algorithm outperformed previously published prioritization methods.
  • Evaluations confirmed CANDID's accuracy in a modeled gene discovery setting.

Conclusions:

  • CANDID is an accurate and user-friendly tool for prioritizing candidate genes influencing complex human traits.
  • Its comprehensive data integration and robust validation suggest a significant improvement over existing algorithms.
  • CANDID enhances the design and analysis of studies focused on complex human genetics.