Franke, Lude

Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

Rietveld, C. A., Esko, T., Davies, G., Pers, T. H., Turley, P., Benyamin, B., Chabris, C. F., Emilsson, V., Johnson, A. D., Lee, J. J., et al. (2014) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 258

Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations

Demirkan, A., van Duijn, C. M., Ugocsai, P., Isaacs, A., Pramstaller, P. P., Liebisch, G., Wilson, J. F., Johansson, Å., Rudan, I., Aulchenko, Y. S., et al. (2012) · PLoS Genetics

Genetic Associations and EpidemiologySphingolipid Metabolism and Signaling

Cited by 205

Evolutionary and Functional Analysis of Celiac Risk Loci Reveals SH2B3 as a Protective Factor against Bacterial Infection

Zhernakova, A., Elbers, C. C., Ferwerda, B., Romanos, J., Trynka, G., Dubois, P. C., de Kovel, C. G. F., Franke, L., Oosting, M., Barisani, D., et al. (2010) · The American Journal of Human Genetics

Celiac Disease Research and ManagementGenetic Associations and Epidemiology

Cited by 195

Host genetic regulation of human gut microbial structural variation

Zhernakova, D. V., Wang, D., Liu, L., Andreu-Sánchez, S., Zhang, Y., Ruiz-Moreno, A. J., Peng, H., Plomp, N., Del Castillo-Izquierdo, Á., Gacesa, R., et al. (2024) · Nature

Gut microbiota and healthGenetic Associations and Epidemiology

Cited by 174

GWAS for executive function and processing speed suggests involvement of the CADM2 gene

Ibrahim-Verbaas, C. A., Bressler, J., Debette, S., Schuur, M., Smith, A. V., Bis, J. C., Davies, G., Trompet, S., Smith, J. A., Wolf, C., et al. (2016) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 147

Improving the diagnostic yield of exome- sequencing by predicting gene–phenotype associations using large-scale gene expression analysis

Deelen, P., van Dam, S., Herkert, J. C., Karjalainen, J. M., Brugge, H., Abbott, K. M., van Diemen, C. C., van der Zwaag, P. A., Gerkes, E. H., Zonneveld-Huijssoon, E., et al. (2019) · Nature Communications

Genomics and Rare DiseasesBioinformatics and Genomic Networks

Cited by 138

Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Wild, P. S., Felix, J. F., Schillert, A., Teumer, A., Chen, M.-H., Leening, M. J. G., Völker, U., Großmann, V., Brody, J. A., Irvin, M. R., et al. (2017) · Journal of Clinical Investigation

Genetic Associations and EpidemiologyCardiac electrophysiology and arrhythmias

Cited by 129

Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells

Kasela, S., Kisand, K., Tserel, L., Kaleviste, E., Remm, A., Fischer, K., Esko, T., Westra, H.-J., Fairfax, B. P., Makino, S., et al. (2017) · PLOS Genetics

Genetic Associations and EpidemiologyT-cell and B-cell Immunology

Cited by 113

Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA sequencing in a porcine model

Kogelman, L. J. A., Cirera, S., Zhernakova, D. V., Fredholm, M., Franke, L., & Kadarmideen, H. N. (2014) · BMC Medical Genomics

Bioinformatics and Genomic NetworksAdipokines, Inflammation, and Metabolic Diseases

Cited by 106

Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

Neavin, D., Senabouth, A., Arora, H., Lee, J. T. H., Ripoll-Cladellas, A., sc-eQTLGen Consortium, Franke, L., Prabhakar, S., Ye, C. J., McCarthy, D. J., et al. (2024) · Genome Biology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 90

Demuxafy : Improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

Neavin, D., Senabouth, A., Hang Lee, J. T., Ripoll, A., sc-eQTLGen Consortium, Franke, L., Prabhakar, S., Ye, C. J., McCarthy, D. J., Melé, M., et al. (2022) · Genome biology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 90

The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25 000 subjects

Peyrot, W. J., Lee, S. H., Milaneschi, Y., Abdellaoui, A., Byrne, E. M., Esko, T., de Geus, E. J. C., Hemani, G., Hottenga, J. J., Kloiber, S., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 84

Novel childhood asthma genes interact with in utero and early-life tobacco smoke exposure

Scholtens, S., Postma, D. S., Moffatt, M. F., Panasevich, S., Granell, R., Henderson, A. J., Melén, E., Nyberg, F., Pershagen, G., Jarvis, D., et al. (2014) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesGenetic Associations and Epidemiology

Cited by 51

Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis

Benyamin, B., Esko, T., Ried, J. S., Radhakrishnan, A., Vermeulen, S. H., Traglia, M., Gögele, M., Anderson, D., Broer, L., Podmore, C., et al. (2014) · Nature Communications

Iron Metabolism and DisordersGenetic Associations and Epidemiology

Cited by 30

A functional brain-derived neurotrophic factor (BDNF) gene variant increases the risk of moderate-to-severe allergic rhinitis

Jin, P., Andiappan, A. K., Quek, J. M., Lee, B., Au, B., Sio, Y. Y., Irwanto, A., Schurmann, C., Grabe, H. J., Suri, B. K., et al. (2015) · Journal of Allergy and Clinical Immunology

Allergic Rhinitis and SensitizationAsthma and respiratory diseases

Cited by 30