Related Experiment Video
Updated: Jul 27, 2025
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
10.2K
Polygenic Risk Score in African populations: progress and challenges
Yagoub Adam1, Suraju Sadeeq2,3, Judit Kumuthini4,5
1Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State, 112212, Nigeria.
F1000Research
|June 5, 2023
Summary
Polygenic Risk Score (PRS) analysis offers precise genetic risk prediction, even for low-effect variants. However, applying PRS to Sub-Saharan African populations is limited by a lack of relevant genomic data and tools.
Area of Science:
- Genetics
- Bioinformatics
- Population Genomics
Background:
- Polygenic Risk Score (PRS) analysis enhances Genome-Wide Association Studies (GWAS) by identifying low-effect single nucleotide polymorphisms (SNPs) crucial for individual risk prediction.
- PRS applications span various traits, including rare diseases, but their accuracy is population-dependent, with challenges noted for non-European ancestries.
Purpose of the Study:
- To review conventional PRS methods and assess their applicability to Sub-Saharan African populations.
- To identify limitations and propose future directions for PRS analysis in African populations.
Main Methods:
- Review of existing PRS methodologies.
- Analysis of the challenges and limitations of applying current PRS methods to Sub-Saharan African genomic data.
Main Results:
- The accuracy of PRS analysis is significantly influenced by the population-specific genomic data used.
- A notable challenge in applying PRS analysis to Sub-Saharan African populations is the scarcity of comprehensive GWAS data and tailored analytical tools.
Conclusions:
- The lack of sufficient GWAS data and appropriate tools hinders the effective application of PRS analysis in Sub-Saharan African communities.
- Development of Africa-specific PRS methods and tools is recommended for accurate risk prediction and clinical evaluation in African populations, particularly for rare diseases.
More Related Videos
Related Concept Videos
01:18Polygenic Traits
66.1K
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...
66.1K
01:11Genome-wide Association Studies-GWAS
13.7K
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...
GWAS does not require the identification of the target gene involved in...
13.7K
01:28Human Genetics
629
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...
The complex relationship between genetics and psychology is observable through common biological components such...
629
01:29Bias in Epidemiological Studies
384
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
384
01:06Heritability
240
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"...
240
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
150
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
150