Literature DB >> 21239144

ADAMTSL3 as a candidate gene for schizophrenia: gene sequencing and ultra-high density association analysis by imputation.

David J Dow1, Julie Huxley-Jones, Jamie M Hall, Clyde Francks, Peter R Maycox, James N C Kew, Israel S Gloger, Nalini A L Mehta, Fiona M Kelly, Pierandrea Muglia, Gerome Breen, Sarah Jugurnauth, Inti Pederoso, David St Clair, Dan Rujescu, Michael R Barnes.   

Abstract

We previously reported an association with a putative functional variant in the ADAMTSL3 gene, just below genome-wide significance in a genome-wide association study of schizophrenia. As variants impacting the function of ADAMTSL3 (a disintegrin-like and metalloprotease domain with thrombospondin type I motifs-like-3) could illuminate a novel disease mechanism and a potentially specific target, we have used complementary approaches to further evaluate the association. We imputed genotypes and performed high density association analysis using data from the HapMap and 1000 genomes projects. To review all variants that could potentially cause the association, and to identify additional possible pathogenic rare variants, we sequenced ADAMTSL3 in 92 schizophrenics. A total of 71 ADAMTSL3 variants were identified by sequencing, many were also seen in the 1000 genomes data, but 26 were novel. None of the variants identified by re-sequencing was in strong linkage disequilibrium (LD) with the associated markers. Imputation analysis refined association between ADAMTSL3 and schizophrenia, and highlighted additional common variants with similar levels of association. We evaluated the functional consequences of all variants identified by sequencing, or showing direct or imputed association. The strongest evidence for function remained with the originally associated variant, rs950169, suggesting that this variant may be causal of the association. Rare variants were also identified with possible functional impact. Our study confirms ADAMTSL3 as a candidate for further investigation in schizophrenia, using the variants identified here. The utility of imputation analysis is demonstrated, and we recommend wider use of this method to re-evaluate the existing canon of suggestive schizophrenia associations.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21239144     DOI: 10.1016/j.schres.2010.12.009

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  19 in total

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Review 4.  Extracellular matrix abnormalities in schizophrenia.

Authors:  Sabina Berretta
Journal:  Neuropharmacology       Date:  2011-08-16       Impact factor: 5.250

Review 5.  Losing the sugar coating: potential impact of perineuronal net abnormalities on interneurons in schizophrenia.

Authors:  Sabina Berretta; Harry Pantazopoulos; Matej Markota; Christopher Brown; Eleni T Batzianouli
Journal:  Schizophr Res       Date:  2015-01-16       Impact factor: 4.939

6.  Imputation of rare variants in next-generation association studies.

Authors:  Jennifer L Asimit; Eleftheria Zeggini
Journal:  Hum Hered       Date:  2013-04-11       Impact factor: 0.444

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8.  C. elegans Punctin specifies cholinergic versus GABAergic identity of postsynaptic domains.

Authors:  Bérangère Pinan-Lucarré; Haijun Tu; Marie Pierron; Pablo Ibáñez Cruceyra; Hong Zhan; Christian Stigloher; Janet E Richmond; Jean-Louis Bessereau
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9.  Identification of rare noncoding sequence variants in gamma-aminobutyric acid A receptor, alpha 4 subunit in autism spectrum disorder.

Authors:  Anthony J Griswold; Derek Van Booven; Michael L Cuccaro; Jonathan L Haines; John R Gilbert; Margaret A Pericak-Vance
Journal:  Neurogenetics       Date:  2017-11-18       Impact factor: 2.660

10.  Discovery of rare variants implicated in schizophrenia using next-generation sequencing.

Authors:  Raina Rhoades; Fatimah Jackson; Shaolei Teng
Journal:  J Transl Genet Genom       Date:  2019-01-20
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