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8 results on '"Sniekers, S"'

1. Pelvic Floor Rehabilitation After Rectal Cancer Surgery: A Multicenter Randomized Clinical Trial (FORCE Trial)

Author

van der Heijden, J. A. G., Kalkdijk-Dijkstra, A. J., Pierie, J. P. E. N., van Westreenen, H. L., Broens, P. M. A., Klarenbeek, B. R., de Wilt, JHW, Stommel, MWJ, Bremers, AJA, Rosman, C, de Reuver, PR, Bouwense, SAW, van der Kolk, BM, Garms, LM, Meerten-van den Belt, K, Olde Hartman-Hofste, MRM, Peters, JWM, Olsder, L, Huizing, I, Trzpis, M, Furnee, EJB, Havenga, K, Hemmer, PHJ, van Etten, B, Koop, A, van der Heide, L, Kamphuis, D, Koopal, SA, Hoff, C, Eker, H, Junte, HHM, Schoenaker, IJH, Quaedackers, S, Bos, MJ, Gardien, H, van Sprundel, TC, de Vries, PD, Ashruf, JF, Geurts, L, Nielen, I, Pfeil, J, van Ark, M, Polle, SW, Hansson, B, Polat, F, de Vries, H, ten Berge-Groen, E, Talsma, AK, Bosker, R, Veurink, E, Papa, M, Maaskant-Braat, AJG, van den Broek, FJC, Leclercq, WKG, Slooter, GD, Caers, F, Boeijen, M, van den Broek, R, van Schaik, K, Wasowicz-Kemps, DK, Langenhoff, BS, van den Bogaard, MJ, van der Sluis, J, Arisz, D, Bruinsma, S, Hess, DA, Mulder, EJ, Wiering, B, Kok, S, Woltering, J, Raap-van Sleuwen, B, Schoonderwoerd, L, Hendriks, D, van den Elzen, N, van de Laak, I, Valk, M, van der Meij, W, van Wely, BJ, van Hoogstraten, MJ, van der Sluis, M, Paulusma, I, Mollers, MJW, Looijen, R, van der Mijle, HCJ, Pereboom, ITA, Tijink-Callenbach, PMC, Schasfoort, RA, van der Hagen, SJ, van de Meer, W, Lubberink, M, van Haskera, M, Wit, F, Jeeninga, M, ten Hoeve, R, Slootmans, FCW, Inberg, B, de Nes, L, Toonen, D, Wilmsen, MA, Buyne, O, Ferenschild, F, de Vries, M., Adamse, C, Hettema-Beets, BL, Goudswaard, MK, van der Velde, M, Elving, DW, Arends-Smit, RE, Buiter, JR, van der itte-van Aerle, I, Jansma, K, Kooistra, L, Lohof-Venema, S, Kruijer, MR, Dijkstra, G, van der erf-Elling, MA, Kats-de Boer, V, Rinsema, AM, Haarlemmer-Lutjeboer, M, van der Vegt, A, Berends-Pors, SMH, Ponstein, AJ, Klaassen, G, Nieuwint, AM, Veninga-Jansen, M, Dries-Jansen, V, Arends, FJ, Stellingwerf-Goinga, NE, Overmars, NG, van Asma, H, Beverdam, K, Ploumen, MJAC, Tijhuis, M, Visser Duiven, AH, Former, M, Smans-Kaal, MAL, Vorsterman van Oijen-Linthorst, CMJ, Hovels-Kamp, NN, Vorsteveld, LR, Vermeulen, N, Alkemade-van Veghel, A, Steentjes, LJ, Cornelisse-Theunissen, HGM, Strijbosch, J, Sniekers, S, Oerlemans-van Oijen, JMA, Hoefnagels, HMJ, Sniekers, CJDA, Biemans, S, Bomert-Wendt, Y, van Gaal, HGM, Smulders, AHCW, Adams, W, Kappen, JM, Vermeltfoort-Jansen, AM, Zegger, MGC, Vrielink, C, Slotman, HM, Claessens, NJH, Manders-de Groot, AWM, van Beuzekom-van der Vorst, CTPG, Swinkels-Nijssen, MWC, van Oeveren, P, van Leeuwen-Nellestijn, JPF, Bleijenberg, M, Valenteyn-Hidden, JJF, van Rutten-de Groot, MG, van den van der Heijden, M, Nieuwenhuizen, Boorsma, PG, Broodman, N, Elling, ME, Bokkers-Engelen, E, Hilhorst-Droppers, GH, Mein, HJC, and Gielen, M

Published
2022
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2. Credible sets in the fixed design model with Brownian motion prior

Author

Sniekers, S., Vaart, A.W. van der, and Sniekers S., Vaart A.W. van der

Subjects
Statistics and Probability, Mathematical optimization, Smoothness (probability theory), Applied Mathematics, Posterior probability, Estimator, Bayesian inference, Statistics::Computation, Nonparametric regression, Frequentist inference, Credible interval, Statistics::Methodology, Applied mathematics, Statistics, Probability and Uncertainty, Bayesian linear regression, Mathematics
Abstract

We consider the nonparametric regression problem, where we take fixed design points x i ∈ [ 0 , 1 ] . We apply Bayesian methods, taking scaled Brownian motion as a prior. The posterior mean is used as an estimator for the function of interest f at a given point. Bayesian credible sets are constructed using the posterior distribution, which are then studied using frequentist methods. Results on the coverage of such credible sets are obtained, which are seen to depend on the Holder smoothness of the regression function f and the choice of scaling. An optimal scaling is derived for a given smoothness.

Published
2015
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3. Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits.

Author

Hammerschlag, A.R., Stringer, S., De Leeuw, C.A., Sniekers, S., Taskesen, E., Watanabe, K., Blanken, Tessa F, Dekker, Kim, Te Lindert, Bart H W, Wassing, Rick, Jonsdottir, I., Thorleifsson, G., Stefansson, H., Gislason, T., Berger, K., Schormair, B., Wellman, J., Winkelmann, J., Stefansson, K., Oexle, K., van Someren, E.J.W., Posthuma, Danielle, Hammerschlag, A.R., Stringer, S., De Leeuw, C.A., Sniekers, S., Taskesen, E., Watanabe, K., Blanken, Tessa F, Dekker, Kim, Te Lindert, Bart H W, Wassing, Rick, Jonsdottir, I., Thorleifsson, G., Stefansson, H., Gislason, T., Berger, K., Schormair, B., Wellman, J., Winkelmann, J., Stefansson, K., Oexle, K., van Someren, E.J.W., and Posthuma, Danielle

Abstract

Persistent insomnia is among the most frequent complaints in general practice. To identify genetic factors for insomnia complaints, we performed a genome-wide association study (GWAS) and a genome-wide gene-based association study (GWGAS) in 113,006 individuals. We identify three loci and seven genes associated with insomnia complaints, with the associations for one locus and five genes supported by joint analysis with an independent sample (n = 7,565). Our top association (MEIS1, P < 5 × 10−8) has previously been implicated in restless legs syndrome (RLS). Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints cannot be explained only by the presence of an RLS subgroup within the cases. Sex-specific analyses suggest that there are different genetic architectures between the sexes in addition to shared genetic factors. We show substantial positive genetic correlation of insomnia complaints with internalizing personality traits and metabolic traits and negative correlation with subjective well-being and educational attainment. These findings provide new insight into the genetic architecture of insomnia.

Published
2017

4. Genome-wide association meta- Analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Author

Sniekers, S. (Suzanne), Stringer, S. (Sven), Watanabe, K. (Kyoko), Jansen, P.R. (Philip), Coleman, J.R.I. (Jonathan R I), Krapohl, E. (Eva), Taskesen, E. (Erdogan), Hammerschlag, A.R. (Anke R.), Okbay, A. (Aysu), Zabaneh, D. (Delilah), Amin, N. (Najaf), Breen, G. (Gerome), Cesarini, D. (David), Chabris, C.F. (Christopher F), Iacono, W.G. (William), Ikram, M.A. (Arfan), Johannesson, M. (Magnus), Koellinger, P. (Philipp), Lee, J.J. (James J.), Magnusson, P.K. (Patrik), McGue, M. (Matt), Miller, M. (Mike), Ollier, W.E.R. (William), Payton, A. (Antony), Pendleton, N. (Neil), Plomin, R. (Robert), Rietveld, C.A. (Niels), Tiemeier, H.W. (Henning), Duijn, C.M. (Cornelia) van, Posthuma, D. (Danielle), Sniekers, S. (Suzanne), Stringer, S. (Sven), Watanabe, K. (Kyoko), Jansen, P.R. (Philip), Coleman, J.R.I. (Jonathan R I), Krapohl, E. (Eva), Taskesen, E. (Erdogan), Hammerschlag, A.R. (Anke R.), Okbay, A. (Aysu), Zabaneh, D. (Delilah), Amin, N. (Najaf), Breen, G. (Gerome), Cesarini, D. (David), Chabris, C.F. (Christopher F), Iacono, W.G. (William), Ikram, M.A. (Arfan), Johannesson, M. (Magnus), Koellinger, P. (Philipp), Lee, J.J. (James J.), Magnusson, P.K. (Patrik), McGue, M. (Matt), Miller, M. (Mike), Ollier, W.E.R. (William), Payton, A. (Antony), Pendleton, N. (Neil), Plomin, R. (Robert), Rietveld, C.A. (Niels), Tiemeier, H.W. (Henning), Duijn, C.M. (Cornelia) van, and Posthuma, D. (Danielle)

Abstract

Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta- A nalysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10-8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10-6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10-6). Despite the well-known difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10-29). These findings provide new insight into the genetic architecture of intelligence.

Published
2017
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5. Adaptive Bayesian credible bands in regression with a Gaussian process prior.

Author

Sniekers S and van der Vaart A

Abstract

A credible band is the set of all functions between a lower and an upper bound that are constructed so that the set has prescribed mass under the posterior distribution. In a Bayesian analysis such a band is used to quantify the remaining uncertainty on the unknown function in a similar manner as a confidence band. We investigate the validity of a credible band in the nonparametric regression model with the prior distribution on the function given by a Gaussian process. We show that there are many true regression functions for which the credible band has the correct order of magnitude to be used as a confidence set. We also exhibit functions for which the credible band is misleading., (© The Author(s) 2019.)

Published
2020
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6. Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits.

Author

Hammerschlag AR, Stringer S, de Leeuw CA, Sniekers S, Taskesen E, Watanabe K, Blanken TF, Dekker K, Te Lindert BHW, Wassing R, Jonsdottir I, Thorleifsson G, Stefansson H, Gislason T, Berger K, Schormair B, Wellmann J, Winkelmann J, Stefansson K, Oexle K, Van Someren EJW, and Posthuma D

Subjects
Adult, Alleles, Chromosome Mapping, Educational Status, Female, Gene Expression, Gene Frequency, Genome-Wide Association Study, Humans, Male, Myeloid Ecotropic Viral Integration Site 1 Protein, Polymorphism, Single Nucleotide, Protein Interaction Mapping, Quality of Life psychology, Restless Legs Syndrome genetics, Restless Legs Syndrome metabolism, Restless Legs Syndrome physiopathology, Restless Legs Syndrome psychology, Sex Factors, Sleep Initiation and Maintenance Disorders metabolism, Sleep Initiation and Maintenance Disorders physiopathology, Sleep Initiation and Maintenance Disorders psychology, Type D Personality, Gene Regulatory Networks, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Homeodomain Proteins genetics, Neoplasm Proteins genetics, Sleep Initiation and Maintenance Disorders genetics
Abstract

Persistent insomnia is among the most frequent complaints in general practice. To identify genetic factors for insomnia complaints, we performed a genome-wide association study (GWAS) and a genome-wide gene-based association study (GWGAS) in 113,006 individuals. We identify three loci and seven genes associated with insomnia complaints, with the associations for one locus and five genes supported by joint analysis with an independent sample (n = 7,565). Our top association (MEIS1, P < 5 × 10 -8 ) has previously been implicated in restless legs syndrome (RLS). Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints cannot be explained only by the presence of an RLS subgroup within the cases. Sex-specific analyses suggest that there are different genetic architectures between the sexes in addition to shared genetic factors. We show substantial positive genetic correlation of insomnia complaints with internalizing personality traits and metabolic traits and negative correlation with subjective well-being and educational attainment. These findings provide new insight into the genetic architecture of insomnia.

Published
2017
Full Text
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7. Erratum: Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence.

Author

Sniekers S, Stringer S, Watanabe K, Jansen PR, Coleman JRI, Krapohl E, Taskesen E, Hammerschlag AR, Okbay A, Zabaneh D, Amin N, Breen G, Cesarini D, Chabris CF, Iacono WG, Ikram MA, Johannesson M, Koellinger P, Lee JJ, Magnusson PKE, McGue M, Miller MB, Ollier WER, Payton A, Pendleton N, Plomin R, Rietveld CA, Tiemeier H, van Duijn CM, and Posthuma D

Published
2017
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8. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence.

Author

Sniekers S, Stringer S, Watanabe K, Jansen PR, Coleman JRI, Krapohl E, Taskesen E, Hammerschlag AR, Okbay A, Zabaneh D, Amin N, Breen G, Cesarini D, Chabris CF, Iacono WG, Ikram MA, Johannesson M, Koellinger P, Lee JJ, Magnusson PKE, McGue M, Miller MB, Ollier WER, Payton A, Pendleton N, Plomin R, Rietveld CA, Tiemeier H, van Duijn CM, and Posthuma D

Subjects
Adolescent, Adult, Aged, Brain metabolism, Child, Child, Preschool, Female, Humans, Infant, Linkage Disequilibrium, Male, Middle Aged, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide, White People genetics, Young Adult, Genome-Wide Association Study, Intelligence genetics
Abstract

Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta-analysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10 -8 ) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10 -6 ), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10 -6 ). Despite the well-known difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (r g = 0.89, LD score regression P = 5.4 × 10 -29 ). These findings provide new insight into the genetic architecture of intelligence.

Published
2017
Full Text
View/download PDF

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