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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less likely to...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

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

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...

You might also read

Related Articles

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

Sort by
Same author

FastGxC: Fast and powerful context-specific eQTL mapping in bulk and single-cell data.

Cell genomics·2026
Same author

Morphological and anatomical variations in subcortical anatomy between humans and chimpanzees associated with heritability patterns related to human behavioral traits.

Communications biology·2026
Same author

Context-specific genetic effects inform endotypes and treatment in asthma.

The Journal of allergy and clinical immunology·2026
Same author

Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions.

Nature communications·2026
Same author

Cationic chitosan/silsesquioxane hybrid cryogel with antibacterial activity for efficient removal of Cr (VI).

Carbohydrate polymers·2026
Same author

Choice of phenotype scale is critical in biobank-based G×E tests.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: May 19, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Optimizing phenotype scale improves genetic analyses in large-scale biobanks.

Zhenhong Huang1, Manuela Costantino1, Andy Dahl1

  • 1Section of Genetic Medicine, University of Chicago, Chicago, IL, USA.

Biorxiv : the Preprint Server for Biology
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

SIQReg, a new method for phenotype scaling, improves genetic analyses by learning data-driven scales. It enhances detection of additive genetic effects and clarifies non-additive signals, boosting discovery in large biobanks.

More Related Videos

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

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Related Experiment Videos

Last Updated: May 19, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

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

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Genetics and Bioinformatics
  • Statistical Genetics
  • Computational Biology

Background:

  • Large biobanks facilitate complex genetic studies, but phenotype measurement scales are often overlooked.
  • Inappropriate phenotype scales can significantly distort genetic architecture inferences.

Purpose of the Study:

  • Introduce SIQReg, a novel method for data-driven phenotype scale transformation.
  • Address the classical problem of selecting appropriate phenotype scales in genetic analysis.

Main Methods:

  • SIQReg learns an optimal phenotype scale by minimizing heterogeneity across quantiles.
  • The method was applied to complex traits within the UK Biobank dataset.

Main Results:

  • SIQReg rejected the default scale for 24 out of 25 complex traits.
  • Learned scales generally fall between default and logarithmic, suggesting non-ideal default scaling.
  • SIQReg improved additive signal detection (e.g., 11% increase in GWAS loci) and clarified non-additive signals, removing 97% of vQTL and 76% of quantile-dependent TWAS genes.
  • Polygenic risk score prediction accuracy increased by 10%, and 50% more high-risk individuals were identified.

Conclusions:

  • SIQReg provides a principled approach to phenotype scaling, enhancing genetic analyses.
  • The method improves power for detecting additive genetic effects and distinguishes true non-additive signals from artifacts.
  • SIQReg's benefits are consistent across diverse ancestry groups.