Whole genome association scan for genetic polymorphisms influencing information processing speed

Luciano, Michelle, Hansell, Narelle K., Lahti, Jari, Davies, Gail, Medland, Sarah E., Raikkonen, Katri, Tenesa, Albert, Widen, Elisabeth, McGhee, Kevin A., Palotie, Aarno, Liewald, David, Porteous, David J., Starr, John M., Montgomery, Grant W., Martin, Nicholas G., Eriksson, Johan G., Wright, Margaret J. and Deary, Ian J. (2011) Whole genome association scan for genetic polymorphisms influencing information processing speed. Biological Psychology, 86 3: 193-202. doi:10.1016/j.biopsycho.2010.11.008

Author Luciano, Michelle
Hansell, Narelle K.
Lahti, Jari
Davies, Gail
Medland, Sarah E.
Raikkonen, Katri
Tenesa, Albert
Widen, Elisabeth
McGhee, Kevin A.
Palotie, Aarno
Liewald, David
Porteous, David J.
Starr, John M.
Montgomery, Grant W.
Martin, Nicholas G.
Eriksson, Johan G.
Wright, Margaret J.
Deary, Ian J.
Title Whole genome association scan for genetic polymorphisms influencing information processing speed
Journal name Biological Psychology   Check publisher's open access policy
ISSN 0301-0511
Publication date 2011-03
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.biopsycho.2010.11.008
Open Access Status Not yet assessed
Volume 86
Issue 3
Start page 193
End page 202
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Formatted abstract
Processing speed is an important cognitive function that is compromised in psychiatric illness (e.g., schizophrenia, depression) and old age; it shares genetic background with complex cognition (e.g., working memory, reasoning). To find genes influencing speed we performed a genome-wide association scan in up to three cohorts: Brisbane (mean age 16 years; N=1659); LBC1936 (mean age 70 years, N=992); LBC1921 (mean age 82 years, N=307), and; HBCS (mean age 64 years, N=1080). Meta-analysis of the common measures highlighted various suggestively significant (p<1.21×10-5) SNPs and plausible candidate genes (e.g., TRIB3). A biological pathways analysis of the speed factor identified two common pathways from the KEGG database (cell junction, focal adhesion) in two cohorts, while a pathway analysis linked to the GO database revealed common pathways across pairs of speed measures (e.g., receptor binding, cellular metabolic process). These highlighted genes and pathways will be able to inform future research, including results for psychiatric disease.
Keyword Biological pathways
Cognitive ability
Information processing speed
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
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