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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
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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...
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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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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"...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Updated: Jun 28, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Multi-trait GWAS for diverse ancestries: mapping the knowledge gap.

Lucie Troubat1, Deniz Fettahoglu1, Léo Henches1

  • 1Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, F-75015, France.

BMC Genomics
|April 16, 2024
PubMed
Summary
This summary is machine-generated.

Multi-trait genome-wide association studies (GWAS) successfully identified new genetic associations in non-European populations. This approach enhances the discovery of genetic variants and helps bridge the knowledge gap in global human genetics research.

Keywords:
Diverse ancestriesGWASMulti-trait GWASStatistical genetics

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Area of Science:

  • Human Genetics
  • Population Genetics
  • Genomics

Background:

  • Genome-wide association studies (GWAS) are heavily biased towards European ancestry populations, comprising approximately 95% of samples.
  • Existing methods and analyses are often developed and validated solely on European ancestry data.
  • Non-European population data, though often of modest size, holds potential for discovery through innovative analytical approaches.

Purpose of the Study:

  • To extend and assess the capabilities and limitations of the JASS (Joint Analysis of Summary Statistics) multi-trait GWAS pipeline for analyzing non-European ancestries.
  • To identify new genome-wide significant associations in diverse ancestral populations.

Main Methods:

  • Conducted a joint genome-wide association study (GWAS) across five ancestries: European (EUR), Admixed American (AMR), African (AFR), East Asian (EAS), and South Asian (SAS).
  • Analyzed 19 hematological and glycemic traits using the JASS multi-trait GWAS pipeline.

Main Results:

  • Detected 367 novel genome-wide significant associations in non-European populations (15 in AMR, 72 in AFR, 280 in EAS).
  • New associations constituted 5% (AFR), 17% (AMR), and 13% (EAS) of the total associations in these populations.
  • Multi-trait testing increased the replication of European-associated loci in non-European ancestries by 15% and showed high similarity in pleiotropic effects across ancestries.

Conclusions:

  • Multi-trait GWAS is an effective strategy for identifying novel genetic associations in underrepresented populations.
  • This approach significantly contributes to narrowing the genetic knowledge gap between European and non-European populations.
  • The JASS pipeline demonstrates utility in leveraging multi-trait analysis for diverse ancestral groups.