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  1. Article ; Online: Author Correction

    Philip R. Jansen / Mats Nagel / Kyoko Watanabe / Yongbin Wei / Jeanne E. Savage / Christiaan A. de Leeuw / Martijn P. van den Heuvel / Sophie van der Sluis / Danielle Posthuma

    Nature Communications, Vol 13, Iss 1, Pp 1-

    Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

    2022  Volume 1

    Keywords Science ; Q
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Item-level analyses reveal genetic heterogeneity in neuroticism

    Mats Nagel / Kyoko Watanabe / Sven Stringer / Danielle Posthuma / Sophie van der Sluis

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 10

    Abstract: Neuroticism can be assessed as a composite score of individual items. Here, Nagel et al. perform genetic association studies for 12 neuroticism items and the sum-score and demonstrate genetic heterogeneity at the item-level. ...

    Abstract Neuroticism can be assessed as a composite score of individual items. Here, Nagel et al. perform genetic association studies for 12 neuroticism items and the sum-score and demonstrate genetic heterogeneity at the item-level.
    Keywords Science ; Q
    Language English
    Publishing date 2018-03-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Item-level analyses reveal genetic heterogeneity in neuroticism

    Mats Nagel / Kyoko Watanabe / Sven Stringer / Danielle Posthuma / Sophie van der Sluis

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 10

    Abstract: Neuroticism can be assessed as a composite score of individual items. Here, Nagel et al. perform genetic association studies for 12 neuroticism items and the sum-score and demonstrate genetic heterogeneity at the item-level. ...

    Abstract Neuroticism can be assessed as a composite score of individual items. Here, Nagel et al. perform genetic association studies for 12 neuroticism items and the sum-score and demonstrate genetic heterogeneity at the item-level.
    Keywords Science ; Q
    Language English
    Publishing date 2018-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

    Philip R. Jansen / Mats Nagel / Kyoko Watanabe / Yongbin Wei / Jeanne E. Savage / Christiaan A. de Leeuw / Martijn P. van den Heuvel / Sophie van der Sluis / Danielle Posthuma

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 12

    Abstract: Brain volume and intelligence have been previously found to have shared genetic etiology, but the specific common genetic signals have not been identified. Here, the authors perform a genome-wide association study on brain volume, finding common genetic ... ...

    Abstract Brain volume and intelligence have been previously found to have shared genetic etiology, but the specific common genetic signals have not been identified. Here, the authors perform a genome-wide association study on brain volume, finding common genetic loci driving brain volume and intelligence.
    Keywords Science ; Q
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

    Philip R. Jansen / Mats Nagel / Kyoko Watanabe / Yongbin Wei / Jeanne E. Savage / Christiaan A. de Leeuw / Martijn P. van den Heuvel / Sophie van der Sluis / Danielle Posthuma

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 12

    Abstract: Brain volume and intelligence have been previously found to have shared genetic etiology, but the specific common genetic signals have not been identified. Here, the authors perform a genome-wide association study on brain volume, finding common genetic ... ...

    Abstract Brain volume and intelligence have been previously found to have shared genetic etiology, but the specific common genetic signals have not been identified. Here, the authors perform a genome-wide association study on brain volume, finding common genetic loci driving brain volume and intelligence.
    Keywords Science ; Q
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Urticaria in Monozygotic and Dizygotic Twins

    Simon Francis Thomsen / Sophie van der Sluis / Kirsten Ohm Kyvik / Vibeke Backer

    Journal of Allergy, Vol

    2012  Volume 2012

    Keywords Immunologic diseases. Allergy ; RC581-607 ; Specialties of internal medicine ; RC581-951 ; Internal medicine ; RC31-1245 ; Medicine ; R ; DOAJ:Allergy and Immunology ; DOAJ:Medicine (General) ; DOAJ:Health Sciences
    Language English
    Publishing date 2012-01-01T00:00:00Z
    Publisher Hindawi Publishing Corporation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Phenotypic complexity, measurement bias, and poor phenotypic resolution contribute to the missing heritability problem in genetic association studies.

    Sophie van der Sluis / Matthijs Verhage / Danielle Posthuma / Conor V Dolan

    PLoS ONE, Vol 5, Iss 11, p e

    2010  Volume 13929

    Abstract: Background The variance explained by genetic variants as identified in (genome-wide) genetic association studies is typically small compared to family-based heritability estimates. Explanations of this 'missing heritability' have been mainly genetic, ... ...

    Abstract Background The variance explained by genetic variants as identified in (genome-wide) genetic association studies is typically small compared to family-based heritability estimates. Explanations of this 'missing heritability' have been mainly genetic, such as genetic heterogeneity and complex (epi-)genetic mechanisms. Methodology We used comprehensive simulation studies to show that three phenotypic measurement issues also provide viable explanations of the missing heritability: phenotypic complexity, measurement bias, and phenotypic resolution. We identify the circumstances in which the use of phenotypic sum-scores and the presence of measurement bias lower the power to detect genetic variants. In addition, we show how the differential resolution of psychometric instruments (i.e., whether the instrument includes items that resolve individual differences in the normal range or in the clinical range of a phenotype) affects the power to detect genetic variants. Conclusion We conclude that careful phenotypic data modelling can improve the genetic signal, and thus the statistical power to identify genetic variants by 20-99%.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    Language English
    Publishing date 2010-11-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Sheltering behavior and locomotor activity in 11 genetically diverse common inbred mouse strains using home-cage monitoring.

    Maarten Loos / Bastijn Koopmans / Emmeke Aarts / Gregoire Maroteaux / Sophie van der Sluis / Neuro-BSIK Mouse Phenomics Consortium / Matthijs Verhage / August B Smit

    PLoS ONE, Vol 9, Iss 9, p e

    2014  Volume 108563

    Abstract: Functional genetic analyses in mice rely on efficient and in-depth characterization of the behavioral spectrum. Automated home-cage observation can provide a systematic and efficient screening method to detect unexplored, novel behavioral phenotypes. ... ...

    Abstract Functional genetic analyses in mice rely on efficient and in-depth characterization of the behavioral spectrum. Automated home-cage observation can provide a systematic and efficient screening method to detect unexplored, novel behavioral phenotypes. Here, we analyzed high-throughput automated home-cage data using existing and novel concepts, to detect a plethora of genetic differences in spontaneous behavior in a panel of commonly used inbred strains (129S1/SvImJ, A/J, C3H/HeJ, C57BL/6J, BALB/cJ, DBA/2J, NOD/LtJ, FVB/NJ, WSB/EiJ, PWK/PhJ and CAST/EiJ). Continuous video-tracking observations of sheltering behavior and locomotor activity were segmented into distinguishable behavioral elements, and studied at different time scales, yielding a set of 115 behavioral parameters of which 105 showed highly significant strain differences. This set of 115 parameters was highly dimensional; principal component analysis identified 26 orthogonal components with eigenvalues above one. Especially novel parameters of sheltering behavior and parameters describing aspects of motion of the mouse in the home-cage showed high genetic effect sizes. Multi-day habituation curves and patterns of behavior surrounding dark/light phase transitions showed striking strain differences, albeit with lower genetic effect sizes. This spontaneous home-cage behavior study demonstrates high dimensionality, with a strong genetic contribution to specific sets of behavioral measures. Importantly, spontaneous home-cage behavior analysis detects genetic effects that cannot be studied in conventional behavioral tests, showing that the inclusion of a few days of undisturbed, labor extensive home-cage assessment may greatly aid gene function analyses and drug target discovery.
    Keywords Medicine ; R ; Science ; Q
    Subject code 150
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: FADS2 Genetic Variance in Combination with Fatty Acid Intake Might Alter Composition of the Fatty Acids in Brain.

    Thais S Rizzi / Sophie van der Sluis / Catherine Derom / Evert Thiery / Ronald E van Kesteren / Nele Jacobs / Sofie Van Gestel / Robert Vlietinck / Matthijs Verhage / Peter Heutink / Danielle Posthuma

    PLoS ONE, Vol 8, Iss 6, p e

    2013  Volume 68000

    Abstract: Multiple lines of evidence suggest that fatty acids (FA) play an important role in cognitive function. However, little is known about the functional genetic pathways involved in cognition. The main goals of this study were to replicate previously ... ...

    Abstract Multiple lines of evidence suggest that fatty acids (FA) play an important role in cognitive function. However, little is known about the functional genetic pathways involved in cognition. The main goals of this study were to replicate previously reported interaction effects between breast feeding (BF) and FA desaturase (FADS) genetic variation on IQ and to investigate the possible mechanisms by which these variants might moderate BF effect, focusing on brain expression. Using a sample of 534 twins, we observed a trend in the moderation of BF effects on IQ by FADS2 variation. In addition, we made use of publicly available gene expression databases from both humans (193) and mice (93) and showed that FADS2 variants also correlate with FADS1 brain expression (P-value<1.1E-03). Our results provide novel clues for the understanding of the genetic mechanisms regulating FA brain expression and improve the current knowledge of the FADS moderation effect on cognition.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    Language English
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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