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Familial Linkage between Neuropsychiatric Disorders and Intellectual Interests

Overview of attention for article published in PLOS ONE, January 2012
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Title
Familial Linkage between Neuropsychiatric Disorders and Intellectual Interests
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030405
Pubmed ID
Authors

Benjamin C. Campbell, Samuel S.-H. Wang

Abstract

From personality to neuropsychiatric disorders, individual differences in brain function are known to have a strong heritable component. Here we report that between close relatives, a variety of neuropsychiatric disorders covary strongly with intellectual interests. We surveyed an entire class of high-functioning young adults at an elite university for prospective major, familial incidence of neuropsychiatric disorders, and demographic and attitudinal questions. Students aspiring to technical majors (science/mathematics/engineering) were more likely than other students to report a sibling with an autism spectrum disorder (p = 0.037). Conversely, students interested in the humanities were more likely to report a family member with major depressive disorder (p = 8.8×10(-4)), bipolar disorder (p = 0.027), or substance abuse problems (p = 1.9×10(-6)). A combined PREdisposition for Subject MattEr (PRESUME) score based on these disorders was strongly predictive of subject matter interests (p = 9.6×10(-8)). Our results suggest that shared genetic (and perhaps environmental) factors may both predispose for heritable neuropsychiatric disorders and influence the development of intellectual interests.

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Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 145 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 16%
Student > Master 19 13%
Student > Ph. D. Student 16 11%
Student > Doctoral Student 11 7%
Student > Bachelor 11 7%
Other 31 21%
Unknown 36 24%
Readers by discipline Count As %
Psychology 52 35%
Medicine and Dentistry 19 13%
Neuroscience 9 6%
Agricultural and Biological Sciences 8 5%
Engineering 3 2%
Other 19 13%
Unknown 38 26%