Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

W. David Hill

doi:10.1017/thg.2018.12

Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

W. David Hill^*

^*Corresponding author for this work

School of Philosophy, Psychology and Language Sciences

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Intelligence and educational attainment are strongly genetically correlated. This relationship can be exploited by Multi-Trait Analysis of GWAS (MTAG) to add power to Genome-wide Association Studies (GWAS) of intelligence. MTAG allows the user to meta-analyze GWASs of different phenotypes, based on their genetic correlations, to identify association's specific to the trait of choice. An MTAG analysis using GWAS data sets on intelligence and education was conducted by Lam et al. (2017). Lam et al. (2017) reported 70 loci that they described as 'trait specific' to intelligence. This article examines whether the analysis conducted by Lam et al. (2017) has resulted in genetic information about a phenotype that is more similar to education than intelligence.

Original language	English
Pages (from-to)	84-88
Number of pages	5
Journal	Twin Research and Human Genetics
Volume	21
Issue number	2
Early online date	19 Mar 2018
DOIs	https://doi.org/10.1017/thg.2018.12
Publication status	Published - 1 Apr 2018

Keywords / Materials (for Non-textual outputs)

calcium channel
cerebellum
gene expression
general cognitive ability
GWAS
neurodevelopment
nootropics
potassium channel
synapse

Access to Document

10.1017/thg.2018.12Licence: Creative Commons: Attribution (CC-BY)

HillTRAaHG2018CommentOnLarge-ScaleCognitiveGWASFinal published version, 197 KBLicence: Creative Commons: Attribution (CC-BY)

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I., Gale, C., Holmes, M., Logie, P., Maclullich, A., Porteous, D., Seckl, J., Starr, J., Wardlaw, J. & Okely, J.
1/09/13 → 31/08/19
Project: Research

Cite this

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title = "Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.",

abstract = "Intelligence and educational attainment are strongly genetically correlated. This relationship can be exploited by Multi-Trait Analysis of GWAS (MTAG) to add power to Genome-wide Association Studies (GWAS) of intelligence. MTAG allows the user to meta-analyze GWASs of different phenotypes, based on their genetic correlations, to identify association's specific to the trait of choice. An MTAG analysis using GWAS data sets on intelligence and education was conducted by Lam et al. (2017). Lam et al. (2017) reported 70 loci that they described as 'trait specific' to intelligence. This article examines whether the analysis conducted by Lam et al. (2017) has resulted in genetic information about a phenotype that is more similar to education than intelligence.",

keywords = "calcium channel, cerebellum, gene expression, general cognitive ability, GWAS, neurodevelopment, nootropics, potassium channel, synapse",

author = "Hill, {W. David}",

year = "2018",

month = apr,

day = "1",

doi = "10.1017/thg.2018.12",

language = "English",

volume = "21",

pages = "84--88",

journal = "Twin Research and Human Genetics",

issn = "1832-4274",

publisher = "Australian Academic Press",

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T1 - Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

AU - Hill, W. David

PY - 2018/4/1

Y1 - 2018/4/1

N2 - Intelligence and educational attainment are strongly genetically correlated. This relationship can be exploited by Multi-Trait Analysis of GWAS (MTAG) to add power to Genome-wide Association Studies (GWAS) of intelligence. MTAG allows the user to meta-analyze GWASs of different phenotypes, based on their genetic correlations, to identify association's specific to the trait of choice. An MTAG analysis using GWAS data sets on intelligence and education was conducted by Lam et al. (2017). Lam et al. (2017) reported 70 loci that they described as 'trait specific' to intelligence. This article examines whether the analysis conducted by Lam et al. (2017) has resulted in genetic information about a phenotype that is more similar to education than intelligence.

AB - Intelligence and educational attainment are strongly genetically correlated. This relationship can be exploited by Multi-Trait Analysis of GWAS (MTAG) to add power to Genome-wide Association Studies (GWAS) of intelligence. MTAG allows the user to meta-analyze GWASs of different phenotypes, based on their genetic correlations, to identify association's specific to the trait of choice. An MTAG analysis using GWAS data sets on intelligence and education was conducted by Lam et al. (2017). Lam et al. (2017) reported 70 loci that they described as 'trait specific' to intelligence. This article examines whether the analysis conducted by Lam et al. (2017) has resulted in genetic information about a phenotype that is more similar to education than intelligence.

KW - calcium channel

KW - cerebellum

KW - gene expression

KW - general cognitive ability

KW - GWAS

KW - neurodevelopment

KW - nootropics

KW - potassium channel

KW - synapse

U2 - 10.1017/thg.2018.12

DO - 10.1017/thg.2018.12

M3 - Comment/debate

AN - SCOPUS:85044194590

SN - 1832-4274

VL - 21

SP - 84

EP - 88

JO - Twin Research and Human Genetics

JF - Twin Research and Human Genetics

IS - 2

ER -

Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

Abstract

Keywords / Materials (for Non-textual outputs)

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Projects

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.

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