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Cognitive genomics

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Through Genomics, Gene and Organism

Intelligence is the most extensively studied behavioral trait. In humans, approximately 70% of all genes are expressed in the brain. Genetic variation accounts for 40% of phenotypical variation. Approaches in cognitive genomics have been used to investigate the genetic causes for many mental and neurodegenerative disorders including Down syndrome, major depressive disorder, autism, and Alzheimer's disease.

Cognitive genomics testing

Approaches

Evo-geno

The most commonly used approach to genome-investigation is evolutionary genomics biology, or evo-geno, in which the genomes of two species which share a common ancestor are compared. A common example of evo-geno is comparative cognitive genomics testing between humans and chimpanzees which shared an ancestor 6-7 million years ago. Patterns in local gene expression and gene splicing are examined to determine genomic differentiation. Comparative transcriptomic analyses conducted on primate brains to measure gene expression levels have shown significant differences between human and chimpanzee genomes. The evo-geno approach was also used to verify the theory that humans and non-human primates share similar expression levels in energy metabolism-related genes which have implications for aging and neurodegenerative disease.

Evo-devo

The evolutionary developmental biology (evo-devo) approach compares cognitive and neuroanatomic development patterns between sets of species. Studies of human fetus brains reveal that almost a third of expressed genes are regionally differentiated, far more than non-human species. This finding could potentially explain variations in cognitive development between individuals. Neuroanatomical evo-devo studies have connected higher brain order to brain lateralization which, though present in other species, is highly ordered in humans.

Evo-pheno and evo-patho

Evolutionary phenotype biology (evo-pheno) approach examines phenotype expression between species. Evolutionary pathology biology (evo-patho) approach investigates disease prevalence between species.

Imaging genomics

Candidate gene selection

In genomics, a gene being imaged and analyzed is referred to as a candidate gene. The ideal candidate genes for comparative genomic testing are genes that harbor well-defined functional polymorphisms with known effects on neuroanatomical and/or cognitive function. However, genes with either identified single-nucleotide polymorphisms or allele variations with potential functional implications on neuroanatomical systems suffice. The weaker the connection between the gene and the phenotype, the more difficult it is to establish causality through testing.

Controlling for non-genetic factors

Non-genetic factors such as age, illness, injury, or substance abuse can have significant effects on gene expression and phenotypic variance. The identification and contribution of genetic variation to specific phenotypes can only be performed when other potential contributing factors can be matched across genotype groups. In the case of neuroimaging during task performance such as in fMRI, groups are matched by performance level. Non-genetic factors have a particularly large potential effect on cognitive development. In the case of autism, non-genetic factors account for 62% of disease risk.

Task selection

In order to study the connection between a candidate gene and a proposed phenotype, a subject is often given a task to perform that elicits the behavioral phenotype while undergoing some form of neuroimaging. Many behavioral tasks used for genomic studies are modified versions of classic behavioral and neuropsychological tests designed to investigate neural systems critical to particular behaviors.

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