Familial aggregation patterns in mathematical ability.
Mathematical talent is an asset in modern society both at an individual and a societal level. Environmental factors such as quality of mathematics education undoubtedly affect an individual's performance, and there is some evidence that genetic factors also may play a role. The current study was performed to investigate the feasibility of undertaking genetics studies on mathematical ability. Because the etiology of low ability in mathematics is likely to be multifactorial and heterogeneous, we evaluated families ascertained through a proband with high mathematical performance in grade 7 on the SAT to eliminate, to some degree, adverse environmental factors. Families of sex-matched probands, selected for high verbal performance on the SAT, served as the comparison group. We evaluated a number of proxy measures for their usefulness in the study of clustering of mathematical talent. Given the difficulty of testing mathematics performance across developmental ages, especially with the added complexity of decreasing exposure to formal mathematics concepts post schooling, we also devised a semiquantitative scale that incorporated educational, occupational, and avocational information as a surrogate for an academic mathematics measure. Whereas several proxy measures showed no evidence of a genetic basis, we found that the semiquantitative scale of mathematical talent showed strong evidence of a genetic basis, with a differential response as a function of the performance measure used to select the proband. This observation suggests that there may be a genetic basis to specific mathematical talent, and that specific, as opposed to proxy, investigative measures that are designed to measure such talent in family members could be of benefit for this purpose.
Wijsman
Ellen M
EM
Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington 98195-7720, USA. wijsman@u.washington.edu
Robinson
Nancy M
NM
Ainsworth
Kathryn H
KH
Rosenthal
Elisabeth A
EA
Holzman
Ted
T
Raskind
Wendy H
WH
D001076:Aptitude; D001077:Aptitude Tests / Q000706:statistics & numerical data; D016022:Case-Control Studies; D002648:Child; D005260:Female; D005838:Genotype; D006801:Humans; D008297:Male; D008433:Mathematics; D008957:Models, Genetic; D010641:Phenotype; D011594:Psychometrics / Q000706:statistics & numerical data; D012044:Regression Analysis; D012931:Social Environment