Tukiainen, Taru

Analysis of protein-coding genetic variation in 60,706 humans

Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 9,587

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 5,062

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

Landscape of X chromosome inactivation across human tissues

GTEx Consortium, Tukiainen, T., Villani, A.-C., Yen, A., Rivas, M. A., Marshall, J. L., Satija, R., Aguirre, M., Gauthier, L., Fleharty, M., et al. (2017) · Nature

Genetic and Clinical Aspects of Sex Determination and Chromosomal AbnormalitiesGenomics and Chromatin Dynamics

Cited by 1,138

Improving genetic diagnosis in Mendelian disease with transcriptome sequencing

Cummings, B. B., Marshall, J. L., Tukiainen, T., Lek, M., Donkervoort, S., Foley, A. R., Bolduc, V., Waddell, L. B., Sandaradura, S. A., O’Grady, G. L., et al. (2017) · Science Translational Medicine

Genomics and Rare DiseasesConnective tissue disorders research

Cited by 831

Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA

Kettunen, J., Demirkan, A., Würtz, P., Draisma, H. H. M., Haller, T., Rawal, R., Vaarhorst, A., Kangas, A. J., Lyytikäinen, L.-P., Pirinen, M., et al. (2016) · Nature Communications

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 738

The transcriptional landscape of age in human peripheral blood

Peters, M. J., Joehanes, R., Pilling, L. C., Schurmann, C., Conneely, K. N., Powell, J., Reinmaa, E., Sutphin, G. L., Zhernakova, A., Schramm, K., et al. (2015) · Nature Communications

Genetics, Aging, and Longevity in Model OrganismsEpigenetics and DNA Methylation

Cited by 725

Genome-wide association study identifies multiple loci influencing human serum metabolite levels

Kettunen, J., Tukiainen, T., Sarin, A.-P., Ortega-Alonso, A., Tikkanen, E., Lyytikäinen, L.-P., Kangas, A. J., Soininen, P., Würtz, P., Silander, K., et al. (2012) · Nature Genetics

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 553

Effect of predicted protein-truncating genetic variants on the human transcriptome

Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., Maller, J. B., Kukurba, K. R., DeLuca, D. S., Fromer, M., et al. (2015) · Science

Genomics and Rare DiseasesRNA Research and Splicing

Cited by 313

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 69

Marked difference in liver fat measured by histology vs. magnetic resonance-proton density fat fraction: A meta-analysis

Qadri, S., Vartiainen, E., Lahelma, M., Porthan, K., Tang, A., Idilman, I. S., Runge, J. H., Juuti, A., Penttilä, A. K., Dabek, J., et al. (2024) · JHEP Reports

Liver Disease Diagnosis and TreatmentAdvanced MRI Techniques and Applications

Cited by 55

Distribution and Medical Impact of Loss-of-Function Variants in the Finnish Founder Population

Lim, E. T., Würtz, P., Havulinna, A. S., Palta, P., Tukiainen, T., Rehnström, K., Esko, T., Mägi, R., Inouye, M., Lappalainen, T., et al. (2014) · PLoS Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 49