Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs

A. den Braber; N. Rodrigues Zilhao Nogueira; I.O. Fedko; J.J. Hottenga; R. Pool; D.J.A. Smit; D.C. Cath; D.I. Boomsma

doi:10.1038/tp.2015.223

Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs

A. den Braber, N. Rodrigues Zilhao Nogueira, I.O. Fedko, J.J. Hottenga, R. Pool, D.J.A. Smit, D.C. Cath, D.I. Boomsma

Research output: Contribution to Journal › Article › Academic › peer-review

Original language	English
Journal	Translational Psychiatry
Volume	6
Issue number	e731
DOIs	https://doi.org/10.1038/tp.2015.223
Publication status	Published - 2016

Cohort Studies

Netherlands Twin Register (NTR)

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10.1038/tp.2015.223

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title = "Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs",

author = "\{den Braber\}, A. and \{Rodrigues Zilhao Nogueira\}, N. and I.O. Fedko and J.J. Hottenga and R. Pool and D.J.A. Smit and D.C. Cath and D.I. Boomsma",

year = "2016",

doi = "10.1038/tp.2015.223",

language = "English",

volume = "6",

journal = "Translational Psychiatry",

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T1 - Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs

AU - den Braber, A.

AU - Rodrigues Zilhao Nogueira, N.

AU - Fedko, I.O.

AU - Hottenga, J.J.

AU - Pool, R.

AU - Smit, D.J.A.

AU - Cath, D.C.

AU - Boomsma, D.I.

PY - 2016

Y1 - 2016

UR - https://www.scopus.com/pages/publications/85020356255

UR - https://www.scopus.com/inward/citedby.url?scp=85020356255&partnerID=8YFLogxK

U2 - 10.1038/tp.2015.223

DO - 10.1038/tp.2015.223

M3 - Article

SN - 2158-3188

VL - 6

JO - Translational Psychiatry

JF - Translational Psychiatry

IS - e731

ER -

Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs

Cohort Studies

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