Lecture

Genetic Linkage and Association Studies

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In courses (2)

MATH-474: Statistics for genomic data analysis

After a short introduction to basic molecular biology and genomic technologies, this course covers the most useful statistical concepts and methods for the analysis of genomic data. ...

MATH-493: Applied biostatistics

This course covers topics in applied biostatistics, with an emphasis on practical aspects of data analysis using R statistical software. Topics include types of studies and their design and analysis, high dimensional data analysis (genetic/genomic) and oth ...

Description

This lecture covers the concepts of genetic linkage and association studies, focusing on genetic markers, crossing over, recombination, and polymorphisms. It explains how genes on the same chromosome exhibit linkage and how crossing over during meiosis leads to genetic diversity. The lecture also delves into the history of genetic markers, the importance of linkage disequilibrium in association mapping, and the transition from linkage to genome-wide association studies using single nucleotide polymorphisms (SNPs). It discusses the power of association studies over linkage studies, the role of LD in mapping, and the methodology of genetic association studies, including case-control designs and replication strategies.

Instructor

Darlene Goldstein

Official source

Ontological neighbourhood

Biology

Genetics: Population genetics

Related concepts (32)

Genetic linkage

Genetic linkage is the tendency of DNA sequences that are close together on a chromosome to be inherited together during the meiosis phase of sexual reproduction. Two genetic markers that are physically near to each other are unlikely to be separated onto different chromatids during chromosomal crossover, and are therefore said to be more linked than markers that are far apart. In other words, the nearer two genes are on a chromosome, the lower the chance of recombination between them, and the more likely they are to be inherited together.

Genetic association

Genetic association is when one or more genotypes within a population co-occur with a phenotypic trait more often than would be expected by chance occurrence. Studies of genetic association aim to test whether single-locus alleles or genotype frequencies or more generally, multilocus haplotype frequencies differ between two groups of individuals usually diseased subjects and healthy controls). Genetic association studies are based on the principle that genotypes can be compared "directly", i.e.

Linkage disequilibrium

In population genetics, linkage disequilibrium (LD) is the non-random association of alleles at different loci in a given population. Loci are said to be in linkage disequilibrium when the frequency of association of their different alleles is higher or lower than expected if the loci were independent and associated randomly. Linkage disequilibrium is influenced by many factors, including selection, the rate of genetic recombination, mutation rate, genetic drift, the system of mating, population structure, and genetic linkage.

Genetic hitchhiking

Genetic hitchhiking, also called genetic draft or the hitchhiking effect, is when an allele changes frequency not because it itself is under natural selection, but because it is near another gene that is undergoing a selective sweep and that is on the same DNA chain. When one gene goes through a selective sweep, any other nearby polymorphisms that are in linkage disequilibrium will tend to change their allele frequencies too. Selective sweeps happen when newly appeared (and hence still rare) mutations are advantageous and increase in frequency.

Genome-wide association study

In genomics, a genome-wide association study (GWA study, or GWAS), is an observational study of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait. GWA studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and traits like major human diseases, but can equally be applied to any other genetic variants and any other organisms. When applied to human data, GWA studies compare the DNA of participants having varying phenotypes for a particular trait or disease.

Related lectures (64)

Genetic Linkage and Recombination

Explores genetic linkage, recombination, and the impact of environmental factors on phenotype expression.

Introduction to LabVIEW

Covers the basics of LabVIEW, including its importance, history, functions, and tools available.

Genetic Association Studies: Methods and Challenges

Explores genetic association study methods, challenges, and limitations in analyzing genetic data.

Genomics: Introduction and Regulatory Networks

Introduces genomics, covers sequencing technologies, genome variation, and explores human genetic linkage maps and RFLP methods.

Object-Oriented Programming: Concepts and Applications