Genome-Wide Association Studies in Molecular Genetics

Podcast Beta

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the purpose of Genome-wide association (GWA) studies?

To genotype thousands of DNA variants across the genome to identify associations with traits of interest.

Explain the concept of polygenic scores.

Polygenic scores are weighted sums of SNP genotypes, with weights derived from GWA summary statistics.

How do GCTA and LD score regression contribute to genetic research?

They are methods for estimating heritability and genetic correlations using GWA summary statistics.

What do multivariate GWA studies reveal about psychiatric disorders?

They reveal substantial genetic correlations between different psychiatric disorders, suggesting a common genetic architecture. Signup and view all the answers

How do polygenic scores help in predicting risk for complex traits?

By using weighted sums of SNP genotypes based on GWA summary statistics. Signup and view all the answers

What is the significance of the genetic architecture of psychopathology revealed by GCTA and LD score regression?

It suggests that different psychiatric disorders share a common genetic architecture. Signup and view all the answers

What percentage of the variance in height can be explained by 180 SNPs?

10% Signup and view all the answers

How much of the variance in total years of education can be explained using 3,500 SNPs?

1% Signup and view all the answers

What percentage of the variance in childhood IQ can be explained by 180 SNPs?

1% Signup and view all the answers

How much of the total variance of liability for coronary artery disease is accounted for by 150 SNPs?

5% Signup and view all the answers

What is the biggest question in genomic sciences related to GWA studies?

Where the rest of the missing heritability can be found. Signup and view all the answers

What may be responsible for some of the missing heritability beyond common SNPs?

Less common DNA variants, including less common SNPs. Signup and view all the answers

What is pleiotropy?

Pleiotropy is the manifold effects of genes; that is, each gene affects many traits. Signup and view all the answers

Explain how pleiotropy might drive polygenicity.

If each gene affects many traits, then many traits will be influenced by many genes. Signup and view all the answers

What is the significance of the plummeting cost of whole-genome sequencing?

It approaches the cost of DNA arrays, indicating a potential tipping point in genetic research. Signup and view all the answers

What did GWA studies confirm about the genetic overlap between schizophrenia and bipolar disorder?

GWA studies confirmed the genetic overlap between schizophrenia and bipolar disorder. Signup and view all the answers

What did a multivariate GWA analysis of five major psychiatric disorders find?

Three SNPs that were associated with all five disorders. Signup and view all the answers

How does a more truly multivariate GWA analysis differ from a traditional analysis?

It focuses on the covariance between traits rather than the variance of each trait. Signup and view all the answers

Study Notes

Genome-Wide Association (GWA) Studies

GWA studies genotype thousands of DNA variants across the genome to identify associations with traits of interest.
GWA studies have revealed that complex traits are extremely polygenic, with thousands of SNPs contributing to heritability.

Polygenic Scores

Polygenic scores are weighted sums of SNP genotypes, with weights derived from GWA summary statistics.
Polygenic scores can be used to predict risk for complex traits, even when individual SNPs have small effects.

Genetic Architecture of Psychopathology

GCTA and LD score regression have revealed substantial genetic correlations between different psychiatric disorders, suggesting that they share a common genetic architecture.
Future research will focus on identifying the specific genes and pathways that contribute to this shared genetic architecture.

Causal Modelling of Gene-Environment Interplay

Gene-environment interactions are complex and difficult to study using traditional methods.
Future research will use polygenic scores and other tools from behavioral genomics to develop causal models of gene-environment interplay.

Future of GWA Studies

The plummeting cost of whole-genome sequencing approaches the cost of DNA arrays.
Larger samples will be amassed, and the common SNPs on current DNA arrays will account for more of the missing heritability.

Pleiotropy and Polygenicity

Pleiotropy is the manifold effects of genes, where each gene affects many traits.
Pleiotropy might drive polygenicity, as many traits are influenced by many genes.
Substantial pleiotropy has been found for cognitive and learning abilities and disabilities, childhood psychopathology, and adult psychosis.

Multivariate GWA Studies

Multivariate GWA studies focus on genetic associations in common across traits.
A multivariate GWA analysis of five major psychiatric disorders found three SNPs that were associated with all five disorders.

Implications for Developmental Research

Pleiotropic polygenic scores could be created that predict what is in common across broad domains such as psychopathology and cognitive abilities and disabilities.

Implications for Different Traits

For height, 180 SNPs account for 10% of the variance, which increases to 13% when more SNPs are added.
For total years of education, GWA meta-analysis with more than 100,000 individuals explained about 1% of the variance using 3,500 SNPs and 2.5% of the variance using all 2.5 million SNPs.
For childhood IQ, 180 SNPs explained about 1% of the variance.
For medical disorders, specific SNPs in total account for up to about 8% of the liability.
For coronary artery disease, 150 SNPs accounted for about 5% of the total variance of liability.
For schizophrenia, significant SNPs accounted for about 1% of the liability, and all SNPs accounted for almost 6% of the liability.
For bipolar disorder, SNPs account for 1% to 3% of the liability.

Beyond Common SNPs on Current DNA Arrays

Less common DNA variants, including less common SNPs, may be responsible for some of the missing heritability.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Description

Explore the concept of Genome-Wide Association (GWA) studies and how they have revolutionized the understanding of complex traits influenced by multiple genes. Learn about the methods like GCTA and LD score regression used to estimate heritability.