Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

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Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. / Lee, S Hong; DeCandia, Teresa R; Ripke, Stephan; Yang, Jian; Sullivan, Patrick F; Goddard, Michael E; Keller, Matthew C; Visscher, Peter M; Wray, Naomi R; Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ); Hansen, Thomas Folkmann; Ingason, Andrés; Olsen, Line; Rasmussen, Henrik Berg; Werge, Thomas Mears.

I: Nature Genetics, Bind 44, Nr. 3, 2012, s. 247-50.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Lee, SH, DeCandia, TR, Ripke, S, Yang, J, Sullivan, PF, Goddard, ME, Keller, MC, Visscher, PM, Wray, NR, Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ), Hansen, TF, Ingason, A, Olsen, L, Rasmussen, HB & Werge, TM 2012, 'Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs', Nature Genetics, bind 44, nr. 3, s. 247-50. https://doi.org/10.1038/ng.1108

APA

Lee, S. H., DeCandia, T. R., Ripke, S., Yang, J., Sullivan, P. F., Goddard, M. E., Keller, M. C., Visscher, P. M., Wray, N. R., Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ), Hansen, T. F., Ingason, A., Olsen, L., Rasmussen, H. B., & Werge, T. M. (2012). Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genetics, 44(3), 247-50. https://doi.org/10.1038/ng.1108

Vancouver

Lee SH, DeCandia TR, Ripke S, Yang J, Sullivan PF, Goddard ME o.a. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genetics. 2012;44(3):247-50. https://doi.org/10.1038/ng.1108

Author

Lee, S Hong ; DeCandia, Teresa R ; Ripke, Stephan ; Yang, Jian ; Sullivan, Patrick F ; Goddard, Michael E ; Keller, Matthew C ; Visscher, Peter M ; Wray, Naomi R ; Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ) ; Hansen, Thomas Folkmann ; Ingason, Andrés ; Olsen, Line ; Rasmussen, Henrik Berg ; Werge, Thomas Mears. / Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. I: Nature Genetics. 2012 ; Bind 44, Nr. 3. s. 247-50.

Bibtex

@article{5a8744a0ef86444cb8bac96b791d388a,
title = "Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs",
abstract = "Schizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 × 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 × 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases.",
author = "Lee, {S Hong} and DeCandia, {Teresa R} and Stephan Ripke and Jian Yang and Sullivan, {Patrick F} and Goddard, {Michael E} and Keller, {Matthew C} and Visscher, {Peter M} and Wray, {Naomi R} and Thomas Werge and Hansen, {Thomas Folkmann} and Andr{\'e}s Ingason and Line Olsen and Rasmussen, {Henrik Berg} and Werge, {Thomas Mears}",
year = "2012",
doi = "10.1038/ng.1108",
language = "English",
volume = "44",
pages = "247--50",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "nature publishing group",
number = "3",

}

RIS

TY - JOUR

T1 - Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

AU - Lee, S Hong

AU - DeCandia, Teresa R

AU - Ripke, Stephan

AU - Yang, Jian

AU - Sullivan, Patrick F

AU - Goddard, Michael E

AU - Keller, Matthew C

AU - Visscher, Peter M

AU - Wray, Naomi R

AU - Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ)

AU - Hansen, Thomas Folkmann

AU - Ingason, Andrés

AU - Olsen, Line

AU - Rasmussen, Henrik Berg

AU - Werge, Thomas Mears

PY - 2012

Y1 - 2012

N2 - Schizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 × 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 × 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases.

AB - Schizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 × 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 × 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases.

U2 - 10.1038/ng.1108

DO - 10.1038/ng.1108

M3 - Journal article

VL - 44

SP - 247

EP - 250

JO - Nature Genetics

JF - Nature Genetics

SN - 1061-4036

IS - 3

ER -

ID: 48610743