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High loading of polygenic risk in cases with chronic schizophrenia

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Meier, SM, Agerbo, E, Maier, R, Pedersen, CB, Lang, M, Grove, J, Hollegaard, MV, Demontis, D, Trabjerg, BB, Hjorthøj, C, Ripke, S, Degenhardt, F, Nöthen, MM, Rujescu, D, Maier, W, Werge, T, Mors, O, Hougaard, DM, Børglum, A, Wray, NR, Rietschel, M, Nordentoft, M, Mortensen, PB, Mattheisen, M & MooDS SCZ Consortium 2016, 'High loading of polygenic risk in cases with chronic schizophrenia' Molecular Psychiatry, vol. 21, no. 7, pp. 969-74. https://doi.org/10.1038/mp.2015.130

APA

Meier, S. M., Agerbo, E., Maier, R., Pedersen, C. B., Lang, M., Grove, J., ... MooDS SCZ Consortium (2016). High loading of polygenic risk in cases with chronic schizophrenia. Molecular Psychiatry, 21(7), 969-74. https://doi.org/10.1038/mp.2015.130

CBE

Meier SM, Agerbo E, Maier R, Pedersen CB, Lang M, Grove J, Hollegaard MV, Demontis D, Trabjerg BB, Hjorthøj C, Ripke S, Degenhardt F, Nöthen MM, Rujescu D, Maier W, Werge T, Mors O, Hougaard DM, Børglum A, Wray NR, Rietschel M, Nordentoft M, Mortensen PB, Mattheisen M, MooDS SCZ Consortium. 2016. High loading of polygenic risk in cases with chronic schizophrenia. Molecular Psychiatry. 21(7):969-74. https://doi.org/10.1038/mp.2015.130

MLA

Vancouver

Author

Meier, S M ; Agerbo, E ; Maier, R ; Pedersen, C B ; Lang, M ; Grove, J ; Hollegaard, M V ; Demontis, D ; Trabjerg, Betina B ; Hjorthøj, C ; Ripke, S ; Degenhardt, F ; Nöthen, M M ; Rujescu, D ; Maier, W ; Werge, T ; Mors, O ; Hougaard, D M ; Børglum, Anders ; Wray, N R ; Rietschel, M ; Nordentoft, M ; Mortensen, P B ; Mattheisen, M ; MooDS SCZ Consortium. / High loading of polygenic risk in cases with chronic schizophrenia. In: Molecular Psychiatry. 2016 ; Vol. 21, No. 7. pp. 969-74.

Bibtex

@article{30e741a493c348e49c7b5cb7b61ac6b1,
title = "High loading of polygenic risk in cases with chronic schizophrenia",
abstract = "Genomic risk profile scores (GRPSs) have been shown to predict case-control status of schizophrenia (SCZ), albeit with varying sensitivity and specificity. The extent to which this variability in prediction accuracy is related to differences in sampling strategies is unknown. Danish population-based registers and Neonatal Biobanks were used to identify two independent incident data sets (denoted target and replication) comprising together 1861 cases with SCZ and 1706 controls. A third data set was a German prevalent sample with diagnoses assigned to 1773 SCZ cases and 2161 controls based on clinical interviews. GRPSs were calculated based on the genome-wide association results from the largest SCZ meta-analysis yet conducted. As measures of genetic risk prediction, Nagelkerke pseudo-R(2) and variance explained on the liability scale were calculated. GRPS for SCZ showed positive correlations with the number of psychiatric admissions across all P-value thresholds in both the incident and prevalent samples. In permutation-based test, Nagelkerke pseudo-R(2) values derived from samples enriched for frequently admitted cases were found to be significantly higher than for the full data sets (Ptarget=0.017, Preplication=0.04). Oversampling of frequently admitted cases further resulted in a higher proportion of variance explained on the liability scale (improvementtarget= 50{\%}; improvementreplication= 162{\%}). GRPSs are significantly correlated with chronicity of SCZ. Oversampling of cases with a high number of admissions significantly increased the amount of variance in liability explained by GRPS. This suggests that at least part of the effect of common single-nucleotide polymorphisms is on the deteriorative course of illness.Molecular Psychiatry advance online publication, 1 September 2015; doi:10.1038/mp.2015.130.",
author = "Meier, {S M} and E Agerbo and R Maier and Pedersen, {C B} and M Lang and J Grove and Hollegaard, {M V} and D Demontis and Trabjerg, {Betina B} and C Hjorth{\o}j and S Ripke and F Degenhardt and N{\"o}then, {M M} and D Rujescu and W Maier and T Werge and O Mors and Hougaard, {D M} and Anders B{\o}rglum and Wray, {N R} and M Rietschel and M Nordentoft and Mortensen, {P B} and M Mattheisen and {MooDS SCZ Consortium}",
year = "2016",
month = "7",
doi = "10.1038/mp.2015.130",
language = "English",
volume = "21",
pages = "969--74",
journal = "Molecular Psychiatry",
issn = "1359-4184",
publisher = "Nature Publishing Group",
number = "7",

}

RIS

TY - JOUR

T1 - High loading of polygenic risk in cases with chronic schizophrenia

AU - Meier, S M

AU - Agerbo, E

AU - Maier, R

AU - Pedersen, C B

AU - Lang, M

AU - Grove, J

AU - Hollegaard, M V

AU - Demontis, D

AU - Trabjerg, Betina B

AU - Hjorthøj, C

AU - Ripke, S

AU - Degenhardt, F

AU - Nöthen, M M

AU - Rujescu, D

AU - Maier, W

AU - Werge, T

AU - Mors, O

AU - Hougaard, D M

AU - Børglum, Anders

AU - Wray, N R

AU - Rietschel, M

AU - Nordentoft, M

AU - Mortensen, P B

AU - Mattheisen, M

AU - MooDS SCZ Consortium

PY - 2016/7

Y1 - 2016/7

N2 - Genomic risk profile scores (GRPSs) have been shown to predict case-control status of schizophrenia (SCZ), albeit with varying sensitivity and specificity. The extent to which this variability in prediction accuracy is related to differences in sampling strategies is unknown. Danish population-based registers and Neonatal Biobanks were used to identify two independent incident data sets (denoted target and replication) comprising together 1861 cases with SCZ and 1706 controls. A third data set was a German prevalent sample with diagnoses assigned to 1773 SCZ cases and 2161 controls based on clinical interviews. GRPSs were calculated based on the genome-wide association results from the largest SCZ meta-analysis yet conducted. As measures of genetic risk prediction, Nagelkerke pseudo-R(2) and variance explained on the liability scale were calculated. GRPS for SCZ showed positive correlations with the number of psychiatric admissions across all P-value thresholds in both the incident and prevalent samples. In permutation-based test, Nagelkerke pseudo-R(2) values derived from samples enriched for frequently admitted cases were found to be significantly higher than for the full data sets (Ptarget=0.017, Preplication=0.04). Oversampling of frequently admitted cases further resulted in a higher proportion of variance explained on the liability scale (improvementtarget= 50%; improvementreplication= 162%). GRPSs are significantly correlated with chronicity of SCZ. Oversampling of cases with a high number of admissions significantly increased the amount of variance in liability explained by GRPS. This suggests that at least part of the effect of common single-nucleotide polymorphisms is on the deteriorative course of illness.Molecular Psychiatry advance online publication, 1 September 2015; doi:10.1038/mp.2015.130.

AB - Genomic risk profile scores (GRPSs) have been shown to predict case-control status of schizophrenia (SCZ), albeit with varying sensitivity and specificity. The extent to which this variability in prediction accuracy is related to differences in sampling strategies is unknown. Danish population-based registers and Neonatal Biobanks were used to identify two independent incident data sets (denoted target and replication) comprising together 1861 cases with SCZ and 1706 controls. A third data set was a German prevalent sample with diagnoses assigned to 1773 SCZ cases and 2161 controls based on clinical interviews. GRPSs were calculated based on the genome-wide association results from the largest SCZ meta-analysis yet conducted. As measures of genetic risk prediction, Nagelkerke pseudo-R(2) and variance explained on the liability scale were calculated. GRPS for SCZ showed positive correlations with the number of psychiatric admissions across all P-value thresholds in both the incident and prevalent samples. In permutation-based test, Nagelkerke pseudo-R(2) values derived from samples enriched for frequently admitted cases were found to be significantly higher than for the full data sets (Ptarget=0.017, Preplication=0.04). Oversampling of frequently admitted cases further resulted in a higher proportion of variance explained on the liability scale (improvementtarget= 50%; improvementreplication= 162%). GRPSs are significantly correlated with chronicity of SCZ. Oversampling of cases with a high number of admissions significantly increased the amount of variance in liability explained by GRPS. This suggests that at least part of the effect of common single-nucleotide polymorphisms is on the deteriorative course of illness.Molecular Psychiatry advance online publication, 1 September 2015; doi:10.1038/mp.2015.130.

U2 - 10.1038/mp.2015.130

DO - 10.1038/mp.2015.130

M3 - Journal article

VL - 21

SP - 969

EP - 974

JO - Molecular Psychiatry

JF - Molecular Psychiatry

SN - 1359-4184

IS - 7

ER -

ID: 45662828