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Related Concept Videos

Polygenic Traits01:18

Polygenic Traits

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

Polygenic Traits

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...
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...
Heritability01:06

Heritability

Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic" a trait is,...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Human Genetics01:28

Human Genetics

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.
The complex relationship between genetics and psychology is observable through common biological components such...

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Related Experiment Video

Updated: Jun 30, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Non-Parametric Ancestry Adjustment for Polygenic Scores.

Daniel Mas Montserrat, Miriam Barrabes, Carlos D Bustamante

    Medrxiv : the Preprint Server for Health Sciences
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Polygenic risk scores (PRS) show ancestry-related biases, causing inaccurate health predictions for non-European individuals. New methods using neighborhood techniques improve PRS accuracy across diverse ancestries.

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    Last Updated: Jun 30, 2026

    Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
    08:27

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    Published on: July 27, 2021

    Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
    09:38

    Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

    Published on: November 14, 2017

    Area of Science:

    • Genetics
    • Bioinformatics
    • Population Genetics

    Background:

    • Polygenic risk scores (PRS) trained on European data exhibit ancestry-related biases.
    • These biases lead to inaccurate predictions for non-European and admixed populations.
    • Existing ancestry adjustment methods are suboptimal for diverse genetic backgrounds.

    Purpose of the Study:

    • To theoretically characterize ancestry-dependent biases in PRS.
    • To develop novel, non-parametric methods for accurate PRS adjustments.
    • To improve PRS performance in underrepresented populations.

    Main Methods:

    • Theoretical analysis of PRS ancestry biases.
    • Development of non-parametric neighborhood-based adjustment techniques.
    • Empirical validation using UK Biobank data.

    Main Results:

    • Demonstrated effectiveness of proposed methods in reducing ancestry-related PRS shifts.
    • Achieved more accurate PRS predictions for diverse populations.
    • Provided statistical consistency guarantees for the novel methods.

    Conclusions:

    • Novel non-parametric methods significantly improve PRS accuracy across ancestries.
    • These advancements address critical limitations in current PRS applications.
    • The proposed techniques offer a path towards equitable genomic medicine.