LDpred2: better, faster, stronger F Privé, J Arbel, BJ Vilhjálmsson Bioinformatics 36 (22-23), 5424-5431, 2020 | 464 | 2020 |
Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr F Privé, H Aschard, A Ziyatdinov, MGB Blum Bioinformatics 34 (16), 2781-2787, 2018 | 279 | 2018 |
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 | 201 | 2022 |
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 | 178 | 2020 |
Making the most of clumping and thresholding for polygenic scores F Privé, BJ Vilhjálmsson, H Aschard, MGB Blum The American journal of human genetics 105 (6), 1213-1221, 2019 | 161 | 2019 |
Improved genetic prediction of complex traits from individual-level data or summary statistics Q Zhang, F Privé, B Vilhjálmsson, D Speed Nature communications 12 (1), 4192, 2021 | 108 | 2021 |
Efficient toolkit implementing best practices for principal component analysis of population genetic data F Privé, K Luu, MGB Blum, JJ McGrath, BJ Vilhjálmsson Bioinformatics 36 (16), 4449-4457, 2020 | 93 | 2020 |
Polygenic scoring accuracy varies across the genetic ancestry continuum Y Ding, K Hou, Z Xu, A Pimplaskar, E Petter, K Boulier, F Privé, ... Nature 618 (7966), 774-781, 2023 | 90* | 2023 |
Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification Y Ding, K Hou, KS Burch, S Lapinska, F Privé, B Vilhjálmsson, ... Nature genetics 54 (1), 30-39, 2022 | 82 | 2022 |
Efficient implementation of penalized regression for genetic risk prediction F Privé, H Aschard, MGB Blum Genetics 212 (1), 65-74, 2019 | 66 | 2019 |
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores F Privé, J Arbel, H Aschard, BJ Vilhjálmsson Human Genetics and Genomics Advances, 100136, 2022 | 38* | 2022 |
Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software C Decamps, F Privé, R Bacher, D Jost, A Waguet, EA Houseman, E Lurie, ... BMC bioinformatics 21, 1-15, 2020 | 38 | 2020 |
Pervasive downward bias in estimates of liability-scale heritability in genome-wide association study meta-analysis: a simple solution AD Grotzinger, J de la Fuente, F Privé, MG Nivard, EM Tucker-Drob Biological psychiatry 93 (1), 29-36, 2023 | 30* | 2023 |
Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction C Albiñana, J Grove, JJ McGrath, E Agerbo, NR Wray, CM Bulik, ... The American Journal of Human Genetics 108 (6), 1001-1011, 2021 | 29 | 2021 |
Polygenic risk score, psychosocial environment and the risk of attention-deficit/hyperactivity disorder SD Østergaard, BB Trabjerg, TD Als, CA Climent, F Privé, BJ Vilhjálmsson, ... Translational psychiatry 10 (1), 335, 2020 | 27 | 2020 |
Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics F Privé Bioinformatics 38 (13), 3477-3480, 2022 | 22 | 2022 |
Accounting for age of onset and family history improves power in genome-wide association studies EM Pedersen, E Agerbo, O Plana-Ripoll, J Grove, JW Dreier, KL Musliner, ... The American Journal of Human Genetics 109 (3), 417-432, 2022 | 21 | 2022 |
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores C Albiñana, Z Zhu, AJ Schork, A Ingason, H Aschard, I Brikell, CM Bulik, ... Nature communications 14 (1), 4702, 2023 | 17* | 2023 |
VarExp: estimating variance explained by genome-wide GxE summary statistics V Laville, AR Bentley, F Privé, X Zhu, J Gauderman, TW Winkler, ... Bioinformatics 34 (19), 3412-3414, 2018 | 17 | 2018 |
Estimating the effective sample size in association studies of quantitative traits A Ziyatdinov, J Kim, D Prokopenko, F Privé, F Laporte, PR Loh, P Kraft, ... G3 11 (6), jkab057, 2021 | 16 | 2021 |