No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.

It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and geno...

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Main Authors: Emma C Johnson, Douglas W Bjelland, Daniel P Howrigan, Abdel Abdellaoui, Gerome Breen, Anders Borglum, Sven Cichon, Franziska Degenhardt, Andreas J Forstner, Josef Frank, Giulio Genovese, Stefanie Heilmann-Heimbach, Stefan Herms, Per Hoffman, Wolfgang Maier, Manuel Mattheisen, Derek Morris, Bryan Mowry, Betram Müller-Mhysok, Benjamin Neale, Igor Nenadic, Markus M Nöthen, Colm O'Dushlaine, Marcella Rietschel, Douglas M Ruderfer, Dan Rujescu, Thomas G Schulze, Matthew A Simonson, Eli Stahl, Jana Strohmaier, Stephanie H Witt, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Patrick F Sullivan, Matthew C Keller
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-10-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC5085024?pdf=render
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spelling doaj-73b4778def244d36875bdb4d8766b2362020-11-25T02:25:27ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042016-10-011210e100634310.1371/journal.pgen.1006343No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.Emma C JohnsonDouglas W BjellandDaniel P HowriganAbdel AbdellaouiGerome BreenAnders BorglumSven CichonFranziska DegenhardtAndreas J ForstnerJosef FrankGiulio GenoveseStefanie Heilmann-HeimbachStefan HermsPer HoffmanWolfgang MaierManuel MattheisenDerek MorrisBryan MowryBetram Müller-MhysokBenjamin NealeIgor NenadicMarkus M NöthenColm O'DushlaineMarcella RietschelDouglas M RuderferDan RujescuThomas G SchulzeMatthew A SimonsonEli StahlJana StrohmaierStephanie H WittSchizophrenia Working Group of the Psychiatric Genomics ConsortiumPatrick F SullivanMatthew C KellerIt is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest.http://europepmc.org/articles/PMC5085024?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Emma C Johnson
Douglas W Bjelland
Daniel P Howrigan
Abdel Abdellaoui
Gerome Breen
Anders Borglum
Sven Cichon
Franziska Degenhardt
Andreas J Forstner
Josef Frank
Giulio Genovese
Stefanie Heilmann-Heimbach
Stefan Herms
Per Hoffman
Wolfgang Maier
Manuel Mattheisen
Derek Morris
Bryan Mowry
Betram Müller-Mhysok
Benjamin Neale
Igor Nenadic
Markus M Nöthen
Colm O'Dushlaine
Marcella Rietschel
Douglas M Ruderfer
Dan Rujescu
Thomas G Schulze
Matthew A Simonson
Eli Stahl
Jana Strohmaier
Stephanie H Witt
Schizophrenia Working Group of the Psychiatric Genomics Consortium
Patrick F Sullivan
Matthew C Keller
spellingShingle Emma C Johnson
Douglas W Bjelland
Daniel P Howrigan
Abdel Abdellaoui
Gerome Breen
Anders Borglum
Sven Cichon
Franziska Degenhardt
Andreas J Forstner
Josef Frank
Giulio Genovese
Stefanie Heilmann-Heimbach
Stefan Herms
Per Hoffman
Wolfgang Maier
Manuel Mattheisen
Derek Morris
Bryan Mowry
Betram Müller-Mhysok
Benjamin Neale
Igor Nenadic
Markus M Nöthen
Colm O'Dushlaine
Marcella Rietschel
Douglas M Ruderfer
Dan Rujescu
Thomas G Schulze
Matthew A Simonson
Eli Stahl
Jana Strohmaier
Stephanie H Witt
Schizophrenia Working Group of the Psychiatric Genomics Consortium
Patrick F Sullivan
Matthew C Keller
No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
PLoS Genetics
author_facet Emma C Johnson
Douglas W Bjelland
Daniel P Howrigan
Abdel Abdellaoui
Gerome Breen
Anders Borglum
Sven Cichon
Franziska Degenhardt
Andreas J Forstner
Josef Frank
Giulio Genovese
Stefanie Heilmann-Heimbach
Stefan Herms
Per Hoffman
Wolfgang Maier
Manuel Mattheisen
Derek Morris
Bryan Mowry
Betram Müller-Mhysok
Benjamin Neale
Igor Nenadic
Markus M Nöthen
Colm O'Dushlaine
Marcella Rietschel
Douglas M Ruderfer
Dan Rujescu
Thomas G Schulze
Matthew A Simonson
Eli Stahl
Jana Strohmaier
Stephanie H Witt
Schizophrenia Working Group of the Psychiatric Genomics Consortium
Patrick F Sullivan
Matthew C Keller
author_sort Emma C Johnson
title No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
title_short No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
title_full No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
title_fullStr No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
title_full_unstemmed No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study.
title_sort no reliable association between runs of homozygosity and schizophrenia in a well-powered replication study.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2016-10-01
description It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest.
url http://europepmc.org/articles/PMC5085024?pdf=render
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