Genetic Association
Genetic Association - Related Videos
10:17
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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Cited by 2 •
2010
Genetic associations often remain unexplained at a functional level. This method aims to assess the effect of phenotype-associated genetic markers on gene expression by analyzing cells heterozygous for transcribed SNPs. The technology allows accurate measurement by MALDI-TOF mass spectrometry to quantify allele-specific primer extension products.
10:10
The Implicit Association Test
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2023
Source: Julian Wills & Jay Van Bavel—New York University One of the core constructs in social psychology is the notion of an attitude toward an object or person. Traditionally, psychologists measured attitudes by simply asking people to self-report their beliefs, opinions, or feelings. This approach has limitations, however, when measuring socially sensitive attitudes, like racial prejudice, because people are often motivated to self-report unprejudiced, egalitarian beliefs (despite...
09:03
Forward Genetic Approaches in Chlamydia trachomatis
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Cited by 21 •
2013
We describe a methodology to perform genetic analysis in Chlamydia based on chemical mutagenesis and whole genome sequencing. In addition, a system for DNA exchange within infected cells is described that can be used for genetic mapping. This method may be broadly applicable to microbial systems lacking transformation systems and molecular genetic tools.
10:47
An Overview of Genetics and Disease
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2023
Many human diseases are associated with mutations or variations in genetic sequences. Some of these genetic variants are heritable, passed down from generation to generation, while others arise sporadically during an organism’s life and cause diseases such as cancer. Researchers are trying to identify and characterize these genetic alterations in the hopes of improving diagnosis and therapeutic options for patients.In this video, we will examine the history of genetic disease research, and...
02:59
Animal Mitochondrial Genetics
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2020
Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
FAQs
Population structure can create differences in allele or genotype frequencies between groups that are unrelated to infection or immune traits. If affected individuals and controls have different ancestral backgrounds, the analysis may identify a misleading relationship. Accounting for population structure helps researchers distinguish associations linked to the phenotype from differences produced by the composition of the study population.
Linkage disequilibrium means that nearby genetic variants are inherited together more often than expected. Consequently, a variant showing an association may not itself influence infection susceptibility or immune activity; it may be correlated with the biologically relevant variant. Researchers therefore interpret the associated marker cautiously and use functional experiments to investigate which genetic change may contribute to the observed trait.
An observed relationship can reflect correlation rather than a direct biological effect. The associated variant might be linked to another causal variant, or the result might arise from population differences or other study factors. Independent replication strengthens confidence in the finding, while functional experiments help test whether the variant contributes to pathogen recognition, inflammatory signaling, vaccine response, or disease outcome.
Researchers select affected individuals and suitable controls, measure their genetic variants, and compare allele or genotype frequencies between the groups. The analysis should account for population structure and consider linkage disequilibrium when interpreting nearby variants. Findings are then evaluated in independent populations and, where possible, examined through functional experiments to assess biological relevance.
Replication tests whether an association remains detectable beyond the original study group. A result that appears only once may reflect population-specific structure, sampling variation, or other study limitations. Confirmation in independent populations increases confidence that the relationship is robust, while differences between populations can also indicate that genetic background influences the observed infection or immune phenotype.
These studies can highlight host variants related to pathogen recognition, inflammatory signaling, vaccine responses, or disease severity. Such findings may guide risk assessment and help prioritize targets for therapeutic research. Their potential relevance to precision medicine depends on stronger evidence, including replication and functional experiments that connect statistical associations with biological activity.