Open AccessGeneralist genes and the Internet generation: etiology of learning abilities by web testing at age 10
Author(s) -
Davis O. S. P.,
Kovas Y.,
Harlaar N.,
Busfield P.,
McMillan A.,
Frances J.,
Petrill S. A.,
Dale P. S.,
Plomin R.
Publication year - 2008
Publication title -
genes, brain and behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.315
H-Index - 91
eISSN - 1601-183X
pISSN - 1601-1848
DOI - 10.1111/j.1601-183x.2007.00370.x
Subject(s) - reading (process) , affect (linguistics) , counterintuitive , cognition , generalist and specialist species , test (biology) , cognitive psychology , the internet , psychology , biology , gene , cognitive science , developmental psychology , genetics , computer science , neuroscience , world wide web , communication , linguistics , epistemology , ecology , philosophy , habitat , paleontology
A key translational issue for neuroscience is to understand how genes affect individual differences in brain function. Although it is reasonable to suppose that genetic effects on specific learning abilities, such as reading and mathematics, as well as general cognitive ability ( g ), will overlap very little, the counterintuitive finding emerging from multivariate genetic studies is that the same genes affect these diverse learning abilities: a Generalist Genes hypothesis. To conclusively test this hypothesis, we exploited the widespread access to inexpensive and fast Internet connections in the UK to assess 2541 pairs of 10‐year‐old twins for reading, mathematics and g , using a web‐based test battery. Heritabilities were 0.38 for reading, 0.49 for mathematics and 0.44 for g . Multivariate genetic analysis showed substantial genetic correlations between learning abilities: 0.57 between reading and mathematics, 0.61 between reading and g , and 0.75 between mathematics and g , providing strong support for the Generalist Genes hypothesis. If genetic effects on cognition are so general, the effects of these genes on the brain are also likely to be general. In this way, generalist genes may prove invaluable in integrating top‐down and bottom‐up approaches to the systems biology of the brain.