Genomics

Dataset Information

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WTCCC2_RM - samples

ABSTRACT: WTCCC2 Reading and Mathematics ability (RM) samples from UK using the Affymetrix 6.0 array

PROVIDER: EGAD00010000602 | EGA |

REPOSITORIES: EGA

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Publications

The correlation between reading and mathematics ability at age twelve has a substantial genetic component.

Davis Oliver S P OS   Band Gavin G   Pirinen Matti M   Haworth Claire M A CM   Meaburn Emma L EL   Kovas Yulia Y   Harlaar Nicole N   Docherty Sophia J SJ   Hanscombe Ken B KB   Trzaskowski Maciej M   Curtis Charles J C CJ   Strange Amy A   Freeman Colin C   Bellenguez Céline C   Su Zhan Z   Pearson Richard R   Vukcevic Damjan D   Langford Cordelia C   Deloukas Panos P   Hunt Sarah S   Gray Emma E   Dronov Serge S   Potter Simon C SC   Tashakkori-Ghanbaria Avazeh A   Edkins Sarah S   Bumpstead Suzannah J SJ   Blackwell Jenefer M JM   Bramon Elvira E   Brown Matthew A MA   Casas Juan P JP   Corvin Aiden A   Duncanson Audrey A   Jankowski Janusz A Z JA   Markus Hugh S HS   Mathew Christopher G CG   Palmer Colin N A CN   Rautanen Anna A   Sawcer Stephen J SJ   Trembath Richard C RC   Viswanathan Ananth C AC   Wood Nicholas W NW   Barroso Ines I   Peltonen Leena L   Dale Philip S PS   Petrill Stephen A SA   Schalkwyk Leonard S LS   Craig Ian W IW   Lewis Cathryn M CM   Price Thomas S TS   Donnelly Peter P   Plomin Robert R   Spencer Chris C A CC  

Nature communications 20140708

Dissecting how genetic and environmental influences impact on learning is helpful for maximizing numeracy and literacy. Here we show, using twin and genome-wide analysis, that there is a substantial genetic component to children's ability in reading and mathematics, and estimate that around one half of the observed correlation in these traits is due to shared genetic effects (so-called Generalist Genes). Thus, our results highlight the potential role of the learning environment in contributing t  ...[more]

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