Whole genome association scan for genetic polymorphisms influencing information processing speed

Michelle Luciano; Narelle K Hansell; Jari Lahti; Gail Davies; Sarah E Medland; Katri Räikkönen; Albert Tenesa; Elisabeth Widen; Kevin A McGhee; Aarno Palotie; David Liewald; David J Porteous; John M Starr; Grant W Montgomery; Nicholas G Martin; Johan G Eriksson; Margaret J Wright; Ian J Deary

doi:10.1016/j.biopsycho.2010.11.008

Whole genome association scan for genetic polymorphisms influencing information processing speed

Michelle Luciano, Narelle K Hansell, Jari Lahti, Gail Davies, Sarah E Medland, Katri Räikkönen, Albert Tenesa, Elisabeth Widen, Kevin A McGhee, Aarno Palotie, David Liewald, David J Porteous, John M Starr, Grant W Montgomery, Nicholas G Martin, Johan G Eriksson, Margaret J Wright, Ian J Deary

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	193-202
Number of pages	10
Journal	Biological Psychology
Volume	86
Issue number	3
DOIs	https://doi.org/10.1016/j.biopsycho.2010.11.008
Publication status	Published - Mar 2011

Keywords / Materials (for Non-textual outputs)

Information processing speed
Cognitive ability
Genes
Biological pathways

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10.1016/j.biopsycho.2010.11.008

http://www.sciencedirect.com/science/article/pii/S0301051110003054

Cite this

Luciano, M., Hansell, N. K., Lahti, J., Davies, G., Medland, S. E., Räikkönen, K., Tenesa, A., Widen, E., McGhee, K. A., Palotie, A., Liewald, D., Porteous, D. J., Starr, J. M., Montgomery, G. W., Martin, N. G., Eriksson, J. G., Wright, M. J., & Deary, I. J. (2011). Whole genome association scan for genetic polymorphisms influencing information processing speed. Biological Psychology, 86(3), 193-202. https://doi.org/10.1016/j.biopsycho.2010.11.008

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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.",

keywords = "Information processing speed , Cognitive ability , Genes , Biological pathways",

author = "Michelle Luciano and Hansell, {Narelle K} and Jari Lahti and Gail Davies and Medland, {Sarah E} and Katri R{\"a}ikk{\"o}nen and Albert Tenesa and Elisabeth Widen and McGhee, {Kevin A} and Aarno Palotie and David Liewald and Porteous, {David J} and Starr, {John M} and Montgomery, {Grant W} and Martin, {Nicholas G} and Eriksson, {Johan G} and Wright, {Margaret J} and Deary, {Ian J}",

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Luciano, M, Hansell, NK, Lahti, J, Davies, G, Medland, SE, Räikkönen, K, Tenesa, A, Widen, E, McGhee, KA, Palotie, A, Liewald, D, Porteous, DJ, Starr, JM, Montgomery, GW, Martin, NG, Eriksson, JG, Wright, MJ & Deary, IJ 2011, 'Whole genome association scan for genetic polymorphisms influencing information processing speed', Biological Psychology, vol. 86, no. 3, pp. 193-202. https://doi.org/10.1016/j.biopsycho.2010.11.008

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T1 - Whole genome association scan for genetic polymorphisms influencing information processing speed

AU - Luciano, Michelle

AU - Hansell, Narelle K

AU - Lahti, Jari

AU - Davies, Gail

AU - Medland, Sarah E

AU - Räikkönen, Katri

AU - Tenesa, Albert

AU - Widen, Elisabeth

AU - McGhee, Kevin A

AU - Palotie, Aarno

AU - Liewald, David

AU - Porteous, David J

AU - Starr, John M

AU - Montgomery, Grant W

AU - Martin, Nicholas G

AU - Eriksson, Johan G

AU - Wright, Margaret J

AU - Deary, Ian J

PY - 2011/3

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N2 - 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.

AB - 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.

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SP - 193

EP - 202

JO - Biological Psychology

JF - Biological Psychology

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ER -

Whole genome association scan for genetic polymorphisms influencing information processing speed

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Brain White mater imaging and cognitive ageing in the Lothian Birth Cohort of 1936:II

Disconnected Mind [Phase 2]

A genome wide association study of non pathological cognitive ageing

Cite this

Whole genome association scan for genetic polymorphisms influencing information processing speed

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Projects

Brain White mater imaging and cognitive ageing in the Lothian Birth Cohort of 1936:II

Disconnected Mind [Phase 2]

A genome wide association study of non pathological cognitive ageing

Cite this