Substantial genetic overlap between neurocognition and schizophrenia: genetic modeling in twin samples

The use of endophenotypes, biological traits that increase the liability to a disorder, represents one strategy to facilitate the detection of susceptibility genes for complex behavioral disorders such as schizophrenia. Establishing that a candidate trait is both heritable and linked genetically to schizophrenia is integral to its validity as an endophenotypic marker. Neurocognitive deficits are among the most promising indicators of increased risk for schizophrenia; however, it is not clear to what extent these deficits are genetically linked to the disorder.

To quantify the genetic and environmental contributions to the variability of selected neurocognitive measures and to estimate the genetic relationship between these and schizophrenia.

Genetic model fitting to monozygotic and dizygotic twin data.

United Kingdom psychiatric research institute.

Two hundred sixty-seven monozygotic and dizygotic twins concordant and discordant for schizophrenia, and healthy monozygotic and dizygotic control twin pairs.

The heritabilities of intelligence, working memory, processing speed, perceptual organization, and verbal comprehension were estimated, and the genetic relationship between each of these and schizophrenia was quantified.

Genetic influences contributed substantially to all of the cognitive domains, but intelligence and working memory were the most heritable. A significant correlation was found between intelligence and schizophrenia (r = -0.61; 95% confidence interval, -0.71 to -0.48), with shared genetic variance accounting for 92% of the covariance between the two. Genetic influences also explained most of the covariance between working memory and schizophrenia. Significant but lesser portions of covariance between the other cognitive domains and schizophrenia were also found to be genetically shared. Environmental effects, although separately linked to neurocognition and schizophrenia, did not generally contribute to their covariance.

Genomewide searches using factorial designs stratifying for levels of intelligence and working memory will assist in the search for finding quantitative trait loci for schizophrenia.