Singh, A. et al. Correcting for genomic inflation leads to loss of power in large-scale Genome-wide association study meta-analysis. Genet. Epidemiol. 49:e70016 (2025)
Ogloblinsky, M.C.* et al. PSAP-Genomic-Regions: A method leveraging population data to prioritize coding and non-coding variants in whole genome sequencing for rare Disease diagnosis. Genet. Epidemiol., DOI: 10.1002/gepi.22593 (2024)
Bocher, O. ; Marenne, G.* ; Genin, E.* & Perdry, H.* Ravages: An R package for the simulation and analysis of rare variants in multicategory phenotypes. Genet. Epidemiol. 47, 450-460 (2023)
Bauer, A. et al. Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study. Genet. Epidemiol. 45, 633-650 (2021)
Sun, R.* et al. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet. Epidemiol. 45, 99-114 (2021)
Png, G. et al. Population-wide copy number variation calling using variant call format files from 6,898 individuals. Genet. Epidemiol. 44, 79-89 (2020)
Müller-Nurasyid, M. et al. Pharmacogenetic effects in population-based metabolic profiles. Genet. Epidemiol. 42, 719-720 (2018)
Cuellar-Partida, G.* et al. Assessing the genetic predisposition of education on myopia: A mendelian randomization study. Genet. Epidemiol. 40, 66-72 (2016)
Asimit, J.L.* et al. A Bayesian approach to the overlap analysis of epidemiologically linked traits. Genet. Epidemiol. 39, 624-634 (2015)
Dankowski, T.* et al. Successful replication of GWAS hits for multiple sclerosis in 10,000 Germans using the exome array. Genet. Epidemiol. 39, 601-608 (2015)
Friedrichs, S.* et al. Kernel-based pathway meta-analysis in ILCCO / TRICL genome-wide association studies. Genet. Epidemiol. 39, 549 (2015)
Ma, C.* ; Boehnke, M.* ; Lee, S.* & GoT2D Consortium (Gieger, C. ; Grallert, H. ; Hrabě de Angelis, M. ; Huth, C. ; Kriebel, J. ; Meisinger, C. ; Meitinger, T. ; Müller-Nurasyid, M. ; Peters, A. ; Ried, J.S. ; Strauch, K. ; Strom, T.M.) Evaluating the calibration and power of three gene-based association tests of rare variants for the X chromosome. Genet. Epidemiol. 39, 499-508 (2015)
Müller-Nurasyid, M. et al. Genome-wide association analysis with multivariate ECG traits. Genet. Epidemiol. 39, 571 (2015)
Poirier, J.G.* et al. Informed genome-wide association analysis with family history as a secondary phenotype identifies novel loci of lung cancer. Genet. Epidemiol. 39, 197-206 (2015)
Rosenberger, A.* et al. Meta-analysis of gene-set analyses based on genome wide association studies, method development and application within ILCCO/TRICL consortia. Genet. Epidemiol. 39, 576 (2015)
Gorski, M.* et al. Harmonization of study and reference data by PhaseLift: Saving time when imputing study data. Genet. Epidemiol. 38, 381-388 (2014)
Ma, C.* ; Blackwell, T.* ; Boehnke, M.* ; Scott, L.J.* & GoT2D Consortium (Gieger, C. ; Grallert, H. ; Hrabě de Angelis, M. ; Huth, C. ; Kriebel, J. ; Meisinger, C. ; Meitinger, T. ; Müller-Nurasyid, M. ; Peters, A. ; Rathmann, W. ; Ried, J.S. ; Strauch, K. ; Strom, T.M.) Recommended joint and meta-analysis strategies for case-control association testing of single low-count variants. Genet. Epidemiol. 37, 539-550 (2013)
Minelli, C.* et al. Importance of different types of prior knowledge in selecting genome-wide findings for follow-up. Genet. Epidemiol. 37, 205-213 (2013)
Sohns, M.* et al. Empirical hierarchical Bayes approach to gene-environment interactions: Development and application to genome-wide association studies of lung cancer in TRICL. Genet. Epidemiol. 37, 551-559 (2013)
Thompson, J.R.* et al. SNP prioritization using a Bayesian probability of association. Genet. Epidemiol. 37, 214-221 (2013)
Behrens, G.* ; Winkler, T.W.* ; Gorski, M. ; Leitzmann, M.F.* & Heid, I.M. To stratify or not to stratify: Power considerations for population-based genome-wide association studies of quantitative traits. Genet. Epidemiol. 35, 867-879 (2012)
Ried, J.S. et al. PSEA: Phenotype Set Enrichment Analysis - a new method for analysis of multiple phenotypes. Genet. Epidemiol. 36, 244-252 (2012)
Sperling, K.* ; Neitzel, H.* & Scherb, H. Evidence for an increase in trisomy 21 (Down syndrome) in Europe after the Chernobyl reactor accident. Genet. Epidemiol. 36, 48-55 (2012)
Malzahn, D.* ; Schillert, A.* ; Müller, M. & Bickeböller, H.* The longitudinal nonparametric test as a new tool to explore gene-gene and gene-time effects in cohorts. Genet. Epidemiol. 34, 469-478 (2010)
Malzahn, D.* et al. Gene-gene and gene-time effects in cohorts: Simulation study of a nonparametric longitudinal approach and results on real data. Genet. Epidemiol. 32, 706-706 (2008)
Müller, M. et al. Quantifying the contribution of genetic variants for survival phenotypes. Genet. Epidemiol. 32, 574-585 (2008)
Loesgen, S. ; Scholz, M.* ; Schmidt, S.* & Bickeböller, H.* Incorporating Larger Families in Identity-by-Descent Based Linkage Analysis. Genet. Epidemiol. 17 (Suppl.1), 235-240 (1999)
Schmidt, S.* ; Scholz, M.* ; Loesgen, S. & Bickeböller, H.* Systematic Search for Susceptibility Genes in Different Populations. Genet. Epidemiol. 17 (Suppl.1), 709-714 (1999)
Scholz, M.* ; Schmidt, S.* ; Loesgen, S. & Bickeböller, H.* Analysis of Principal Component Based Quantitative Phenotypes for Alcoholism. Genet. Epidemiol. 17 (Suppl.1), 313-318 (1999)