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Items: 1 to 50 of 64

1.

The relation between the age at diagnosis of problem behaviors related to aggression and distal outcomes in Swedish children.

Campbell I, Lundstrom S, Larsson H, Lichtenstein P, Lubke G.

Eur Child Adolesc Psychiatry. 2019 Jul;28(7):899-911. doi: 10.1007/s00787-018-1250-9. Epub 2018 Nov 10.

PMID:
30413982
2.

Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project.

Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI.

Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29.

3.

Extending CART-based Multiple Imputation with Gradient Boosting Machines.

Luningham JM, Lubke GH.

Multivariate Behav Res. 2018 Jan-Feb;53(1):143-144. doi: 10.1080/00273171.2017.1405785. No abstract available.

PMID:
29304299
4.

A Gradient Boosting Machine for Hierarchically Clustered Data.

Miller PJ, McArtor DB, Lubke GH.

Multivariate Behav Res. 2017;52(1):117. doi: 10.1080/00273171.2016.1265433. Epub 2017 Jan 18. No abstract available.

5.

Genetic and environmental contributions to the development of childhood aggression.

Lubke GH, McArtor DB, Boomsma DI, Bartels M.

Dev Psychol. 2018 Jan;54(1):39-50. doi: 10.1037/dev0000403. Epub 2017 Oct 23.

PMID:
29058931
6.

Sum Scores in Twin Growth Curve Models: Practicality Versus Bias.

Luningham JM, McArtor DB, Bartels M, Boomsma DI, Lubke GH.

Behav Genet. 2017 Sep;47(5):516-536. doi: 10.1007/s10519-017-9864-0. Epub 2017 Aug 5.

7.

Disentangling Heterogeneity of Childhood Disruptive Behavior Problems Into Dimensions and Subgroups.

Bolhuis K, Lubke GH, van der Ende J, Bartels M, van Beijsterveldt CEM, Lichtenstein P, Larsson H, Jaddoe VWV, Kushner SA, Verhulst FC, Boomsma DI, Tiemeier H.

J Am Acad Child Adolesc Psychiatry. 2017 Aug;56(8):678-686. doi: 10.1016/j.jaac.2017.05.019. Epub 2017 Jun 29.

PMID:
28735697
8.

Assessing Model Selection Uncertainty Using a Bootstrap Approach: An update.

Lubke GH, Campbell I, McArtor D, Miller P, Luningham J, van den Berg SM.

Struct Equ Modeling. 2017;24(2):230-245. doi: 10.1080/10705511.2016.1252265. Epub 2016 Dec 5.

9.

Using a multivariate model to assess the interactive effects of demographics and lifestyle on the hematological profile.

McArtor DB, Lin BD, Hottenga JJ, Boomsma DI, Willemsen G, Lubke GH.

Biomark Med. 2017 May;11(6):427-438. doi: 10.2217/bmm-2016-0285. Epub 2017 Jun 23.

PMID:
28644043
10.

Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition.

Warrier V, Grasby KL, Uzefovsky F, Toro R, Smith P, Chakrabarti B, Khadake J, Mawbey-Adamson E, Litterman N, Hottenga JJ, Lubke G, Boomsma DI, Martin NG, Hatemi PK, Medland SE, Hinds DA, Bourgeron T, Baron-Cohen S.

Mol Psychiatry. 2018 Jun;23(6):1402-1409. doi: 10.1038/mp.2017.122. Epub 2017 Jun 6.

11.

Fitting latent variable mixture models.

Lubke GH, Luningham J.

Behav Res Ther. 2017 Nov;98:91-102. doi: 10.1016/j.brat.2017.04.003. Epub 2017 Apr 17.

12.

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.

Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, Ngwa JS, Ahluwalia TS, Chu AY, Heard-Costa NL, Lim E, Perez J, Eicher JD, Kutalik Z, Xue L, Mahajan A, Renström F, Wu J, Qi Q, Ahmad S, Alfred T, Amin N, Bielak LF, Bonnefond A, Bragg J, Cadby G, Chittani M, Coggeshall S, Corre T, Direk N, Eriksson J, Fischer K, Gorski M, Neergaard Harder M, Horikoshi M, Huang T, Huffman JE, Jackson AU, Justesen JM, Kanoni S, Kinnunen L, Kleber ME, Komulainen P, Kumari M, Lim U, Luan J, Lyytikäinen LP, Mangino M, Manichaikul A, Marten J, Middelberg RPS, Müller-Nurasyid M, Navarro P, Pérusse L, Pervjakova N, Sarti C, Smith AV, Smith JA, Stančáková A, Strawbridge RJ, Stringham HM, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van der Most PJ, Van Vliet-Ostaptchouk JV, Vedantam SL, Verweij N, Vink JM, Vitart V, Wu Y, Yengo L, Zhang W, Hua Zhao J, Zimmermann ME, Zubair N, Abecasis GR, Adair LS, Afaq S, Afzal U, Bakker SJL, Bartz TM, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Braga D, Buckley BM, Buyske S, Campbell H, Chambers JC, Collins FS, Curran JE, de Borst GJ, de Craen AJM, de Geus EJC, Dedoussis G, Delgado GE, den Ruijter HM, Eiriksdottir G, Eriksson AL, Esko T, Faul JD, Ford I, Forrester T, Gertow K, Gigante B, Glorioso N, Gong J, Grallert H, Grammer TB, Grarup N, Haitjema S, Hallmans G, Hamsten A, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie ND, Heath AC, Hernandez D, Hindorff L, Hocking LJ, Hollensted M, Holmen OL, Homuth G, Jan Hottenga J, Huang J, Hung J, Hutri-Kähönen N, Ingelsson E, James AL, Jansson JO, Jarvelin MR, Jhun MA, Jørgensen ME, Juonala M, Kähönen M, Karlsson M, Koistinen HA, Kolcic I, Kolovou G, Kooperberg C, Krämer BK, Kuusisto J, Kvaløy K, Lakka TA, Langenberg C, Launer LJ, Leander K, Lee NR, Lind L, Lindgren CM, Linneberg A, Lobbens S, Loh M, Lorentzon M, Luben R, Lubke G, Ludolph-Donislawski A, Lupoli S, Madden PAF, Männikkö R, Marques-Vidal P, Martin NG, McKenzie CA, McKnight B, Mellström D, Menni C, Montgomery GW, Musk AB, Narisu N, Nauck M, Nolte IM, Oldehinkel AJ, Olden M, Ong KK, Padmanabhan S, Peyser PA, Pisinger C, Porteous DJ, Raitakari OT, Rankinen T, Rao DC, Rasmussen-Torvik LJ, Rawal R, Rice T, Ridker PM, Rose LM, Bien SA, Rudan I, Sanna S, Sarzynski MA, Sattar N, Savonen K, Schlessinger D, Scholtens S, Schurmann C, Scott RA, Sennblad B, Siemelink MA, Silbernagel G, Slagboom PE, Snieder H, Staessen JA, Stott DJ, Swertz MA, Swift AJ, Taylor KD, Tayo BO, Thorand B, Thuillier D, Tuomilehto J, Uitterlinden AG, Vandenput L, Vohl MC, Völzke H, Vonk JM, Waeber G, Waldenberger M, Westendorp RGJ, Wild S, Willemsen G, Wolffenbuttel BHR, Wong A, Wright AF, Zhao W, Zillikens MC, Baldassarre D, Balkau B, Bandinelli S, Böger CA, Boomsma DI, Bouchard C, Bruinenberg M, Chasman DI, Chen YD, Chines PS, Cooper RS, Cucca F, Cusi D, Faire U, Ferrucci L, Franks PW, Froguel P, Gordon-Larsen P, Grabe HJ, Gudnason V, Haiman CA, Hayward C, Hveem K, Johnson AD, Wouter Jukema J, Kardia SLR, Kivimaki M, Kooner JS, Kuh D, Laakso M, Lehtimäki T, Marchand LL, März W, McCarthy MI, Metspalu A, Morris AP, Ohlsson C, Palmer LJ, Pasterkamp G, Pedersen O, Peters A, Peters U, Polasek O, Psaty BM, Qi L, Rauramaa R, Smith BH, Sørensen TIA, Strauch K, Tiemeier H, Tremoli E, van der Harst P, Vestergaard H, Vollenweider P, Wareham NJ, Weir DR, Whitfield JB, Wilson JF, Tyrrell J, Frayling TM, Barroso I, Boehnke M, Deloukas P, Fox CS, Hirschhorn JN, Hunter DJ, Spector TD, Strachan DP, van Duijn CM, Heid IM, Mohlke KL, Marchini J, Loos RJF, Kilpeläinen TO, Liu CT, Borecki IB, North KE, Cupples LA.

Nat Commun. 2017 Apr 26;8:14977. doi: 10.1038/ncomms14977.

13.

Finding structure in data using multivariate tree boosting.

Miller PJ, Lubke GH, McArtor DB, Bergeman CS.

Psychol Methods. 2016 Dec;21(4):583-602.

14.

Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic.

McArtor DB, Lubke GH, Bergeman CS.

Psychometrika. 2017 Dec;82(4):1052-1077. doi: 10.1007/s11336-016-9527-8. Epub 2016 Oct 13.

15.

Detection of gene-environment interaction in pedigree data using genome-wide genotypes.

Nivard MG, Middeldorp CM, Lubke G, Hottenga JJ, Abdellaoui A, Boomsma DI, Dolan CV.

Eur J Hum Genet. 2016 Dec;24(12):1803-1809. doi: 10.1038/ejhg.2016.88. Epub 2016 Jul 20.

16.

Joint developmental trajectories of internalizing and externalizing disorders between childhood and adolescence.

Nivard MG, Lubke GH, Dolan CV, Evans DM, St Pourcain B, Munafò MR, Middeldorp CM.

Dev Psychopathol. 2017 Aug;29(3):919-928. doi: 10.1017/S0954579416000572. Epub 2016 Jul 18.

PMID:
27427290
17.

The use of vector bootstrapping to improve variable selection precision in Lasso models.

Laurin C, Boomsma D, Lubke G.

Stat Appl Genet Mol Biol. 2016 Aug 1;15(4):305-20. doi: 10.1515/sagmb-2015-0043.

18.

Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium.

Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Lubke GH, Madden PA, Mägi R, McGue MK, Medland SE, Meeus WH, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM.

Transl Psychiatry. 2016 Mar 29;6:e769. doi: 10.1038/tp.2016.36.

19.

Inference Based on the Best-Fitting Model can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach.

Lubke GH, Campbell I.

Struct Equ Modeling. 2016;23(4):479-490. doi: 10.1080/10705511.2016.1141355. Epub 2016 Apr 7.

20.
21.

A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18.

Lubke GH, Miller PJ, Verhulst B, Bartels M, van Beijsterveldt T, Willemsen G, Boomsma DI, Middeldorp CM.

Am J Med Genet B Neuropsychiatr Genet. 2016 Oct;171(7):948-57. doi: 10.1002/ajmg.b.32375. Epub 2015 Sep 3.

22.

Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS).

Laurin CA, Hottenga JJ, Willemsen G, Boomsma DI, Lubke GH.

Genet Epidemiol. 2015 May;39(4):317-24. doi: 10.1002/gepi.21897. Epub 2015 Apr 1.

23.

Childhood ODD and ADHD Behavior: The Effect of Classroom Sharing, Gender, Teacher Gender and Their Interactions.

de Zeeuw EL, van Beijsterveldt CE, Lubke GH, Glasner TJ, Boomsma DI.

Behav Genet. 2015 Jul;45(4):394-408. doi: 10.1007/s10519-015-9712-z. Epub 2015 Feb 25.

24.

Heritability of liver enzyme levels estimated from genome-wide SNP data.

van Beek JH, Lubke GH, de Moor MH, Willemsen G, de Geus EJ, Hottenga JJ; LivGen consortium, Walters RK, Smit JH, Penninx BW, Boomsma DI.

Eur J Hum Genet. 2015 Sep;23(9):1223-8. doi: 10.1038/ejhg.2014.259. Epub 2014 Nov 26.

25.

Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling.

Lubke GH, Miller PJ.

Psychol Med. 2015 Mar;45(4):705-15. doi: 10.1017/S003329171400169X. Epub 2014 Aug 19. Review.

26.

Epi2Loc: an R package to investigate two-locus epistatic models.

Walters RK, Laurin C, Lubke GH.

Twin Res Hum Genet. 2014 Aug;17(4):272-8. doi: 10.1017/thg.2014.38. Epub 2014 Jul 1.

PMID:
24983251
27.

A genome-wide association meta-analysis of preschool internalizing problems.

Benke KS, Nivard MG, Velders FP, Walters RK, Pappa I, Scheet PA, Xiao X, Ehli EA, Palmer LJ, Whitehouse AJ, Verhulst FC, Jaddoe VW, Rivadeneira F, Groen-Blokhuis MM, van Beijsterveldt CE, Davies GE, Hudziak JJ, Lubke GH, Boomsma DI, Pennell CE, Tiemeier H, Middeldorp CM; Early Genetics and Lifecourse Epidemiology Consortium.

J Am Acad Child Adolesc Psychiatry. 2014 Jun;53(6):667-676.e7. doi: 10.1016/j.jaac.2013.12.028. Epub 2014 Feb 19.

PMID:
24839885
28.

Abstract: Improving Power in Genome-Wide Studies Using a Two-Stage Design.

Walters RK, Lubke GH.

Multivariate Behav Res. 2014 May-Jun;49(3):300. doi: 10.1080/00273171.2014.912929. No abstract available.

PMID:
26735206
29.

Gradient Boosting as a SNP Filter: an Evaluation Using Simulated and Hair Morphology Data.

Lubke G, Laurin C, Walters R, Eriksson N, Hysi P, Spector T, Montgomery G, Martin N, Medland S, Boomsma D.

J Data Mining Genomics Proteomics. 2013 Oct 20;4. doi: 10.4172/2153-0602.1000143.

30.

Multivariate genetic analyses in heterogeneous populations.

Lubke G, McArtor D.

Behav Genet. 2014 May;44(3):232-9. doi: 10.1007/s10519-013-9631-9. Epub 2013 Dec 6.

31.

The predictive value of smoking expectancy and the heritability of its accuracy.

Treur JL, Boomsma DI, Lubke GH, Bartels M, Vink JM.

Nicotine Tob Res. 2014 Mar;16(3):359-68. doi: 10.1093/ntr/ntt155. Epub 2013 Oct 29.

32.

The association of alcohol intake with γ-glutamyl transferase (GGT) levels: evidence for correlated genetic effects.

van Beek JHDA, de Moor MHM, Geels LM, Sinke MRT, de Geus EJC, Lubke GH, Kluft C, Neuteboom J, Vink JM, Willemsen G, Boomsma DI.

Drug Alcohol Depend. 2014 Jan 1;134:99-105. doi: 10.1016/j.drugalcdep.2013.09.016. Epub 2013 Sep 27.

33.

Genome-wide analyses of borderline personality features.

Lubke GH, Laurin C, Amin N, Hottenga JJ, Willemsen G, van Grootheest G, Abdellaoui A, Karssen LC, Oostra BA, van Duijn CM, Penninx BW, Boomsma DI.

Mol Psychiatry. 2014 Aug;19(8):923-9. doi: 10.1038/mp.2013.109. Epub 2013 Aug 27.

34.

The genetic architecture of liver enzyme levels: GGT, ALT and AST.

van Beek JH, de Moor MH, de Geus EJ, Lubke GH, Vink JM, Willemsen G, Boomsma DI.

Behav Genet. 2013 Jul;43(4):329-39. doi: 10.1007/s10519-013-9593-y. Epub 2013 Apr 12.

35.

Abstract: Stability Selection for Penalized Canonical Correlation Analysis.

Laurin C, Lubke G.

Multivariate Behav Res. 2013 Jan;48(1):165. doi: 10.1080/00273171.2013.752264. No abstract available.

PMID:
26789226
36.

An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data.

Walters R, Laurin C, Lubke GH.

Bioinformatics. 2012 Oct 15;28(20):2615-23. doi: 10.1093/bioinformatics/bts483. Epub 2012 Jul 30.

37.

Estimating the genetic variance of major depressive disorder due to all single nucleotide polymorphisms.

Lubke GH, Hottenga JJ, Walters R, Laurin C, de Geus EJ, Willemsen G, Smit JH, Middeldorp CM, Penninx BW, Vink JM, Boomsma DI.

Biol Psychiatry. 2012 Oct 15;72(8):707-9. doi: 10.1016/j.biopsych.2012.03.011. Epub 2012 Apr 19.

38.

The CHRNA5/A3/B4 gene cluster and tobacco, alcohol, cannabis, inhalants and other substance use initiation: replication and new findings using mixture analyses.

Lubke GH, Stephens SH, Lessem JM, Hewitt JK, Ehringer MA.

Behav Genet. 2012 Jul;42(4):636-46. doi: 10.1007/s10519-012-9529-y. Epub 2012 Mar 1.

39.

Old Issues in New Jacket: Power and Validation in the Context of Mixture Modeling.

Lubke G.

Measurement ( Mahwah N J). 2012;10(4):212-216. No abstract available.

40.

Two-part random effects growth modeling to identify risks associated with alcohol and cannabis initiation, initial average use and changes in drug consumption in a sample of adult, male twins.

Gillespie NA, Lubke GH, Gardner CO, Neale MC, Kendler KS.

Drug Alcohol Depend. 2012 Jun 1;123(1-3):220-8. doi: 10.1016/j.drugalcdep.2011.11.015. Epub 2011 Dec 15.

41.

Borderline personality traits and adult attention-deficit hyperactivity disorder symptoms: a genetic analysis of comorbidity.

Distel MA, Carlier A, Middeldorp CM, Derom CA, Lubke GH, Boomsma DI.

Am J Med Genet B Neuropsychiatr Genet. 2011 Dec;156B(7):817-25. doi: 10.1002/ajmg.b.31226. Epub 2011 Aug 2.

42.

Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data.

Lu ZL, Zhang Z, Lubke G.

Multivariate Behav Res. 2011 Jul 1;46(4):567-597.

43.

Trajectories of CBCL attention problems in childhood.

Robbers SC, van Oort FV, Polderman TJ, Bartels M, Boomsma DI, Verhulst FC, Lubke GH, Huizink AC.

Eur Child Adolesc Psychiatry. 2011 Aug;20(8):419-27. doi: 10.1007/s00787-011-0194-0. Epub 2011 Jun 29.

44.

Abstract: Bayesian Inference for Growth Mixture Models With Nonignorable Missing Data.

Lu ZL, Zhang ZJ, Lubke G.

Multivariate Behav Res. 2010 Nov 30;45(6):1028-9. doi: 10.1080/00273171.2010.534381. No abstract available.

PMID:
26760734
45.

Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling Approaches.

Lubke G, Tueller S.

Struct Equ Modeling. 2010 Oct 1;17(4):605-628. doi: 10.1080/10705511.2010.510050. Epub 2010 Oct 12.

46.
47.

Maternal ratings of attention problems in ADHD: evidence for the existence of a continuum.

Lubke GH, Hudziak JJ, Derks EM, van Bijsterveldt TCEM, Boomsma DI.

J Am Acad Child Adolesc Psychiatry. 2009 Nov;48(11):1085-1093. doi: 10.1097/CHI.0b013e3181ba3dbb.

48.

Abstract: A Comparison of the Factor Mixture Model and Taxometric Procedures.

Tueller S, Lubke G.

Multivariate Behav Res. 2008 Oct-Dec;43(4):660. doi: 10.1080/00273170802640517.

PMID:
26771434
50.

Subtypes versus severity differences in attention-deficit/hyperactivity disorder in the Northern Finnish Birth Cohort.

Lubke GH, Muthén B, Moilanen IK, McGough JJ, Loo SK, Swanson JM, Yang MH, Taanila A, Hurtig T, Järvelin MR, Smalley SL.

J Am Acad Child Adolesc Psychiatry. 2007 Dec;46(12):1584-93.

PMID:
18030080

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