Article (Scientific journals)
Discovering schizophrenia endophenotypes in randomly ascertained pedigrees.
Glahn, David C.; Williams, Jeff T.; McKay, D. Reese et al.
2015In Biological Psychiatry, 77 (1), p. 75-83
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Keywords :
Adult; Aged; Brain/pathology; Data Interpretation, Statistical; Endophenotypes; Family; Female; Genetic Predisposition to Disease; Humans; Male; Mexican Americans/genetics; Middle Aged; Neuropsychological Tests; Pedigree; Risk Factors; Schizophrenia/diagnosis/genetics/pathology; Schizophrenic Psychology; Coefficient of Relatedness; Cognition; Cortical Surface Area; Endophenotype; Family Study; Schizophrenia
Abstract :
[en] BACKGROUND: Although case-control approaches are beginning to disentangle schizophrenia's complex polygenic burden, other methods will likely be necessary to fully identify and characterize risk genes. Endophenotypes, traits genetically correlated with an illness, can help characterize the impact of risk genes by providing genetically relevant traits that are more tractable than the behavioral symptoms that classify mental illness. Here, we present an analytic approach for discovering and empirically validating endophenotypes in extended pedigrees with very few affected individuals. Our approach indexes each family member's risk as a function of shared genetic kinship with an affected individual, often referred to as the coefficient of relatedness. To demonstrate the utility of this approach, we search for neurocognitive and neuroanatomic endophenotypes for schizophrenia in large unselected multigenerational pedigrees. METHODS: A fixed-effects test within the variance component framework was performed on neurocognitive and cortical surface area traits in 1606 Mexican-American individuals from large, randomly ascertained extended pedigrees who participated in the Genetics of Brain Structure and Function study. As affecteds were excluded from analyses, results were not influenced by disease state or medication usage. RESULTS: Despite having sampled just 6 individuals with schizophrenia, our sample provided 233 individuals at various levels of genetic risk for the disorder. We identified three neurocognitive measures (digit-symbol substitution, facial memory, and emotion recognition) and six medial temporal and prefrontal cortical surfaces associated with liability for schizophrenia. CONCLUSIONS: With our novel analytic approach, one can discover and rank endophenotypes for schizophrenia, or any heritable disease, in randomly ascertained pedigrees.
Disciplines :
Psychiatry
Author, co-author :
Glahn, David C.
Williams, Jeff T.
McKay, D. Reese
Knowles, Emma E.
Sprooten, Emma
Mathias, Samuel R.
Curran, Joanne E.
Kent, Jack W. Jr
Carless, Melanie A.
Goring, Harald H. H.
Dyer, Thomas D.
Woolsey, Mary D.
Winkler, Anderson ;  Université de Liège - ULiège > Form. doc. sc. bioméd. & pharma.
Olvera, Rene L.
Kochunov, Peter
Fox, Peter T.
Duggirala, Ravi
Almasy, Laura
Blangero, John
More authors (9 more) Less
Language :
English
Title :
Discovering schizophrenia endophenotypes in randomly ascertained pedigrees.
Publication date :
2015
Journal title :
Biological Psychiatry
ISSN :
0006-3223
Publisher :
Elsevier, Netherlands
Volume :
77
Issue :
1
Pages :
75-83
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright (c) 2015 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Available on ORBi :
since 03 May 2017

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