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Genetic risk profiles for depression and anxiety in adult and elderly cohorts

The first generation of genome-wide association studies (GWA studies) for psychiatric disorders has led to new insights regarding the genetic architecture of these disorders. We now start to realize that a larger number of genes, each with a small contribution, are likely to explain the heritability...

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Autores principales: Demirkan, A, Penninx, B W J H, Hek, K, Wray, N R, Amin, N, Aulchenko, Y S, van Dyck, R, de Geus, E J C, Hofman, A, Uitterlinden, A G, Hottenga, J-J, Nolen, W A, Oostra, B A, Sullivan, P F, Willemsen, G, Zitman, F G, Tiemeier, H, Janssens, A C J W, Boomsma, D I, van Duijn, C M, Middeldorp, C M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142964/
https://www.ncbi.nlm.nih.gov/pubmed/20567237
http://dx.doi.org/10.1038/mp.2010.65
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author Demirkan, A
Penninx, B W J H
Hek, K
Wray, N R
Amin, N
Aulchenko, Y S
van Dyck, R
de Geus, E J C
Hofman, A
Uitterlinden, A G
Hottenga, J-J
Nolen, W A
Oostra, B A
Sullivan, P F
Willemsen, G
Zitman, F G
Tiemeier, H
Janssens, A C J W
Boomsma, D I
van Duijn, C M
Middeldorp, C M
author_facet Demirkan, A
Penninx, B W J H
Hek, K
Wray, N R
Amin, N
Aulchenko, Y S
van Dyck, R
de Geus, E J C
Hofman, A
Uitterlinden, A G
Hottenga, J-J
Nolen, W A
Oostra, B A
Sullivan, P F
Willemsen, G
Zitman, F G
Tiemeier, H
Janssens, A C J W
Boomsma, D I
van Duijn, C M
Middeldorp, C M
author_sort Demirkan, A
collection PubMed
description The first generation of genome-wide association studies (GWA studies) for psychiatric disorders has led to new insights regarding the genetic architecture of these disorders. We now start to realize that a larger number of genes, each with a small contribution, are likely to explain the heritability of psychiatric diseases. The contribution of a large number of genes to complex traits can be analyzed with genome-wide profiling. In a discovery sample, a genetic risk profile for depression was defined based on a GWA study of 1738 adult cases and 1802 controls. The genetic risk scores were tested in two population-based samples of elderly participants. The genetic risk profiles were evaluated for depression and anxiety in the Rotterdam Study cohort and the Erasmus Rucphen Family (ERF) study. The genetic risk scores were significantly associated with different measures of depression and explained up to ∼0.7% of the variance in depression in Rotterdam Study and up to ∼1% in ERF study. The genetic score for depression was also significantly associated with anxiety explaining up to 2.1% in Rotterdam study. These findings suggest the presence of many genetic loci of small effect that influence both depression and anxiety. Remarkably, the predictive value of these profiles was as large in the sample of elderly participants as in the middle-aged samples.
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spelling pubmed-31429642011-08-17 Genetic risk profiles for depression and anxiety in adult and elderly cohorts Demirkan, A Penninx, B W J H Hek, K Wray, N R Amin, N Aulchenko, Y S van Dyck, R de Geus, E J C Hofman, A Uitterlinden, A G Hottenga, J-J Nolen, W A Oostra, B A Sullivan, P F Willemsen, G Zitman, F G Tiemeier, H Janssens, A C J W Boomsma, D I van Duijn, C M Middeldorp, C M Mol Psychiatry Original Article The first generation of genome-wide association studies (GWA studies) for psychiatric disorders has led to new insights regarding the genetic architecture of these disorders. We now start to realize that a larger number of genes, each with a small contribution, are likely to explain the heritability of psychiatric diseases. The contribution of a large number of genes to complex traits can be analyzed with genome-wide profiling. In a discovery sample, a genetic risk profile for depression was defined based on a GWA study of 1738 adult cases and 1802 controls. The genetic risk scores were tested in two population-based samples of elderly participants. The genetic risk profiles were evaluated for depression and anxiety in the Rotterdam Study cohort and the Erasmus Rucphen Family (ERF) study. The genetic risk scores were significantly associated with different measures of depression and explained up to ∼0.7% of the variance in depression in Rotterdam Study and up to ∼1% in ERF study. The genetic score for depression was also significantly associated with anxiety explaining up to 2.1% in Rotterdam study. These findings suggest the presence of many genetic loci of small effect that influence both depression and anxiety. Remarkably, the predictive value of these profiles was as large in the sample of elderly participants as in the middle-aged samples. Nature Publishing Group 2011-07 2010-06-22 /pmc/articles/PMC3142964/ /pubmed/20567237 http://dx.doi.org/10.1038/mp.2010.65 Text en Copyright © 2011 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Original Article
Demirkan, A
Penninx, B W J H
Hek, K
Wray, N R
Amin, N
Aulchenko, Y S
van Dyck, R
de Geus, E J C
Hofman, A
Uitterlinden, A G
Hottenga, J-J
Nolen, W A
Oostra, B A
Sullivan, P F
Willemsen, G
Zitman, F G
Tiemeier, H
Janssens, A C J W
Boomsma, D I
van Duijn, C M
Middeldorp, C M
Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title_full Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title_fullStr Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title_full_unstemmed Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title_short Genetic risk profiles for depression and anxiety in adult and elderly cohorts
title_sort genetic risk profiles for depression and anxiety in adult and elderly cohorts
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142964/
https://www.ncbi.nlm.nih.gov/pubmed/20567237
http://dx.doi.org/10.1038/mp.2010.65
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