Bjarni J. Vilhjalmsson

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Florian PrivéAarhus UniversityVerified email at au.dk
Esben AgerboAarhus UniversityVerified email at econ.au.dk
Magnus NordborgGregor Mendel Institute, Austrian Academy of SciencesVerified email at gmi.oeaw.ac.at
Clara AlbiñanaPostdoc, Aarhus UniversityVerified email at econ.au.dk
Anders BørglumProfessor, Director, Aarhus UniversityVerified email at biomed.au.dk
Thomas WergeDirector, Professor, RHP-Institute of Biological Psychiatry & University of CopenhagenVerified email at regionh.dk
David HougaardDirector Department for Congenital Disorders, Statens Serum InstitutVerified email at ssi.dk
John Joseph McGrathNiels Bohr Professor, Aarhus University; Queensland Brain Institute, University of Queensland; QCMHRVerified email at uq.edu.au
Hugues AschardInstitut Pasteur & Harvard School of Public HealthVerified email at pasteur.fr
Katherine MuslinerAssociate Professor, Dept. of Clinical Medicine Aarhus UniversityVerified email at clin.au.dk
Merete NordentoftUniversity of CopenhagenVerified email at dadlnet.dk
Quan LongUniversity of CalgaryVerified email at ucalgary.ca
Benjamin NealeMassachusetts General Hospital; Broad Institute; Harvard Medical SchoolVerified email at broadinstitute.org
Naomi WrayUniversity of QueenslandVerified email at uq.edu.au
Jakob GroveAssociate professor, Department of Biomedicine, Aarhus UniversityVerified email at biomed.au.dk
Ümit SerenGregor Mendel InstituteVerified email at gmi.oeaw.ac.at
Alexander PlattAssistant Professor (Research); Temple UniversityVerified email at alexanderplatt.org
Dazhe MengUniversity of Southern CaliforniaVerified email at usc.edu
Noah A ZaitlenProfessor at UCLAVerified email at ucla.edu
Arthur KorteCenter of Computational and Theoretical Biology, University WuerzburgVerified email at uni-wuerzburg.de

Bjarni J. Vilhjalmsson

National Center for Register-based Research, Aarhus University, Denmark

Verified email at au.dk

Statistical Genetics Psychiatric Genetics Polygenic Risk Scores Risk Prediction GWAS


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Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines S Atwell, YS Huang, BJ Vilhjálmsson, G Willems, M Horton, Y Li, D Meng, ... Nature 465 (7298), 627-631, 2010	2001	2010
Efficient Bayesian mixed-model analysis increases association power in large cohorts PR Loh, G Tucker, BK Bulik-Sullivan, BJ Vilhjalmsson, HK Finucane, ... Nature genetics 47 (3), 284-290, 2015	1632	2015
Modeling linkage disequilibrium increases accuracy of polygenic risk scores BJ Vilhjálmsson, J Yang, HK Finucane, A Gusev, S Lindström, S Ripke, ... The American Journal of Human Genetics 97 (4), 576-592, 2015	1422	2015
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations V Segura, BJ Vilhjálmsson, A Platt, A Korte, Ü Seren, Q Long, M Nordborg Nature genetics 44 (7), 825-830, 2012	1006	2012
The nature of nurture: Effects of parental genotypes A Kong, G Thorleifsson, ML Frigge, BJ Vilhjalmsson, AI Young, ... Science 359 (6374), 424-428, 2018	873	2018
Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases A Gusev, SH Lee, G Trynka, H Finucane, BJ Vilhjálmsson, H Xu, C Zang, ... The American Journal of Human Genetics 95 (5), 535-552, 2014	673	2014
Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel MW Horton, AM Hancock, YS Huang, C Toomajian, S Atwell, A Auton, ... Nature Genetics 44 (2), 212-216, 2012	600	2012
LDpred2: better, faster, stronger F Privé, J Arbel, BJ Vilhjálmsson Bioinformatics 36 (22-23), 5424–5431, 2020	554	2020
DNA methylation in Arabidopsis has a genetic basis and shows evidence of local adaptation MJ Dubin, P Zhang, D Meng, MS Remigereau, EJ Osborne, FP Casale, ... ELife 4, e05255, 2015	513	2015
A mixed-model approach for genome-wide association studies of correlated traits in structured populations A Korte, BJ Vilhjálmsson, V Segura, A Platt, Q Long, M Nordborg Nature Genetics 44 (9), 1066-1071, 2012	481	2012
Association between mental disorders and subsequent medical conditions NC Momen, O Plana-Ripoll, E Agerbo, ME Benros, AD Børglum, ... New England Journal of Medicine 382 (18), 1721-1731, 2020	402	2020
Massive genomic variation and strong selection in Arabidopsis thaliana lines from Sweden Q Long, FA Rabanal, D Meng, CD Huber, A Farlow, A Platzer, Q Zhang, ... Nature genetics 45 (8), 884-890, 2013	402	2013
Genome-wide association study of Arabidopsis thaliana leaf microbial community MW Horton, N Bodenhausen, K Beilsmith, D Meng, BD Muegge, ... Nature communications 5 (1), 5320, 2014	379	2014
Polygenic risk score, parental socioeconomic status, family history of psychiatric disorders, and the risk for schizophrenia: a Danish population-based study and meta-analysis E Agerbo, PF Sullivan, BJ Vilhjálmsson, CB Pedersen, O Mors, ... JAMA psychiatry 72 (7), 635-641, 2015	322	2015
Adjusting for heritable covariates can bias effect estimates in genome-wide association studies H Aschard, BJ Vilhjálmsson, AD Joshi, AL Price, P Kraft The American Journal of Human Genetics 96 (2), 329-339, 2015	309	2015
Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort F Privé, H Aschard, S Carmi, L Folkersen, C Hoggart, PF O’Reilly, ... The American Journal of Human Genetics 109 (1), 12-23, 2022	228	2022
The nature of confounding in genome-wide association studies BJ Vilhjálmsson, M Nordborg Nature Reviews Genetics 14 (1), 1-2, 2013	225	2013
Conditions under which genome-wide association studies will be positively misleading A Platt, BJ Vilhjálmsson, M Nordborg Genetics 186 (3), 1045-1052, 2010	215	2010
Maximizing the Power of Principal-Component Analysis of Correlated Phenotypes in Genome-wide Association Studies H Aschard, BJ Vilhjálmsson, N Greliche, PE Morange, DA Trégouët, ... American Journal of Human Genetics 94 (5), 662–676, 2014	208	2014
Performing highly efficient genome scans for local adaptation with R package pcadapt version 4 F Privé, K Luu, BJ Vilhjálmsson, MGB Blum Molecular Biology and Evolution 37 (7), 2153-2154, 2020	198	2020

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