Karjalainen, Juha

Genetic studies of body mass index yield new insights for obesity biology

Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 4,534

FinnGen provides genetic insights from a well-phenotyped isolated population

Kurki, M. I., Karjalainen, J., Palta, P., Sipilä, T. P., Kristiansson, K., Donner, K. M., Reeve, M. P., Laivuori, H., Aavikko, M., Kaunisto, M. A., et al. (2023) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 4,233

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,498

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

Systematic identification of trans eQTLs as putative drivers of known disease associations

Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,658

New genetic loci link adipose and insulin biology to body fat distribution

The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,580

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Vilhjálmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lindström, S., Ripke, S., Genovese, G., Loh, P.-R., Bhatia, G., Do, R., et al. (2015) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,303

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Marshall, C. R., Howrigan, D. P., Merico, D., Thiruvahindrapuram, B., Wu, W., Greer, D. S., Antaki, D., Shetty, A., Holmans, P. A., Pinto, D., et al. (2017) · Nature Genetics

Genomic variations and chromosomal abnormalitiesSchizophrenia research and treatment

Cited by 1,058

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 827

Biological interpretation of genome-wide association studies using predicted gene functions

Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., et al. (2015) · Nature Communications

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 787

Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 544

The impact of low-frequency and rare variants on lipid levels

ENGAGE Consortium, Surakka, I., Horikoshi, M., Mägi, R., Sarin, A.-P., Mahajan, A., Lagou, V., Marullo, L., Ferreira, T., Miraglio, B., et al. (2015) · Nature Genetics

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 351

Gene expression analysis identifies global gene dosage sensitivity in cancer

Fehrmann, R. S. N., Karjalainen, J. M., Krajewska, M., Westra, H.-J., Maloney, D., Simeonov, A., Pers, T. H., Hirschhorn, J. N., Jansen, R. C., Schultes, E. A., et al. (2015) · Nature Genetics

Genomic variations and chromosomal abnormalitiesGene expression and cancer classification

Cited by 347

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

Genetic analyses identify widespread sex-differential participation bias

Pirastu, N., Cordioli, M., Nandakumar, P., Mignogna, G., Abdellaoui, A., Hollis, B., Kanai, M., Rajagopal, V. M., Parolo, P. D. B., Baya, N., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 251

Genetic analysis of obstructive sleep apnoea discovers a strong association with cardiometabolic health

Strausz, S., Ruotsalainen, S., Ollila, H. M., Karjalainen, J., Kiiskinen, T., Reeve, M., Kurki, M., Mars, N., Havulinna, A. S., Luonsi, E., et al. (2021) · European Respiratory Journal

Obstructive Sleep Apnea ResearchGenetic Associations and Epidemiology

Cited by 194

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

GWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer

Zhou, W., Brumpton, B., Kabil, O., Gudmundsson, J., Thorleifsson, G., Weinstock, J., Zawistowski, M., Nielsen, J. B., Chaker, L., Medici, M., et al. (2020) · Nature Communications

Genetic Associations and EpidemiologyThyroid Disorders and Treatments

Cited by 129

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

ANGPTL8 protein-truncating variant associated with lower serum triglycerides and risk of coronary disease

Helkkula, P., Kiiskinen, T., Havulinna, A. S., Karjalainen, J., Koskinen, S., Salomaa, V., Daly, M. J., Palotie, A., Surakka, I., Ripatti, S., et al. (2021) · PLOS Genetics

Lipid metabolism and disordersGenetic Associations and Epidemiology

Cited by 47