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PMID: 20516156 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Genome-wide association study of major recurrent depression in the U.K. population.

The American journal of psychiatry ·Vol. 167 ·No. 8 ·2010-08-00 ·Pages 949-57

Lewis CM, Ng MY, Butler AW, Cohen-Woods S, Uher R, Pirlo K, Weale ME, Schosser A, Paredes UM, Rivera M, Craddock N, Owen MJ, Jones L, Jones I, Korszun A, Aitchison KJ, Shi J, Quinn JP, Mackenzie A, Vollenweider P, Waeber G, Heath S, Lathrop M, Muglia P, Barnes MR, Whittaker JC, Tozzi F, Holsboer F, Preisig M, Farmer AE, Breen G, Craig IW, McGuffin P

Abstract

Studies of major depression in twins and families have shown moderate to high heritability, but extensive molecular studies have failed to identify susceptibility genes convincingly. To detect genetic variants contributing to major depression, the authors performed a genome-wide association study using 1,636 cases of depression ascertained in the U.K. and 1,594 comparison subjects screened negative for psychiatric disorders. Cases were collected from 1) a case-control study of recurrent depression (the Depression Case Control [DeCC] study; N=1346), 2) an affected sibling pair linkage study of recurrent depression (probands from the Depression Network [DeNT] study; N=332), and 3) a pharmacogenetic study (the Genome-Based Therapeutic Drugs for Depression [GENDEP] study; N=88). Depression cases and comparison subjects were genotyped at Centre National de Génotypage on the Illumina Human610-Quad BeadChip. After applying stringent quality control criteria for missing genotypes, departure from Hardy-Weinberg equilibrium, and low minor allele frequency, the authors tested for association to depression using logistic regression, correcting for population ancestry. Single nucleotide polymorphisms (SNPs) in BICC1 achieved suggestive evidence for association, which strengthened after imputation of ungenotyped markers, and in analysis of female depression cases. A meta-analysis of U.K. data with previously published results from studies in Munich and Lausanne showed some evidence for association near neuroligin 1 (NLGN1) on chromosome 3, but did not support findings at BICC1. This study identifies several signals for association worthy of further investigation but, as in previous genome-wide studies, suggests that individual gene contributions to depression are likely to have only minor effects, and very large pooled analyses will be required to identify them.

MeSH Terms
Adult Aged Case-Control Studies Depressive Disorder, Major/epidemiology,genetics Female Gene Frequency/genetics Genetic Markers/genetics Genetic Predisposition to Disease Genome-Wide Association Study Genotype Humans Male Meta-Analysis as Topic Middle Aged Polymorphism, Single Nucleotide/genetics Recurrence United Kingdom/epidemiology
Chemicals
Genetic Markers
Authors & Affiliations
33 authors, click to expand affiliations / ORCID
Lewis Cathryn M
Medical Research Council's Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, De Crespigny Park, London, United Kingdom. [email protected]
Ng Mandy Y
Butler Amy W
Cohen-Woods Sarah
Uher Rudolf
Pirlo Katrina
Weale Michael E
Schosser Alexandra
Paredes Ursula M
Rivera Margarita
Craddock Nicholas
Owen Mike J
Jones Lisa
Jones Ian
Korszun Ania
Aitchison Katherine J
Shi Jianxin
Quinn John P
Mackenzie Alasdair
Vollenweider Peter
Waeber Gerard
Heath Simon
Lathrop Mark
Muglia Pierandrea
Barnes Michael R
Whittaker John C
Tozzi Federica
Holsboer Florian
Preisig Martin
Farmer Anne E
Breen Gerome
Craig Ian W
McGuffin Peter
Article Info
Journal
The American journal of psychiatry
Abbr.
Am J Psychiatry
ISSN
1535-7228
Published
2010-08-00
Epub
2010-00-01
Pages
949-57
Language
English
Region
United States
NLM ID
0370512
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · BB/D004659/1 · United Kingdom
Medical Research Council · G0701003 · United Kingdom
Medical Research Council · G90/106 · United Kingdom
Medical Research Council · G0701420 · United Kingdom
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