Perola, Markus

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 442

Haplotype Structure and Population Genetic Inferences from Nucleotide-Sequence Variation in Human Lipoprotein Lipase

Clark, A. G., Weiss, K. M., Nickerson, D. A., Taylor, S. L., Buchanan, A., Stengård, J., Salomaa, V., Vartiainen, E., Perola, M., Boerwinkle, E., et al. (1998) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 435

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Deelen, J., Kettunen, J., Fischer, K., van der Spek, A., Trompet, S., Kastenmüller, G., Boyd, A., Zierer, J., van den Akker, E. B., Ala-Korpela, M., et al. (2019) · Nature Communications

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 362

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

Biomarker Profiling by Nuclear Magnetic Resonance Spectroscopy for the Prediction of All-Cause Mortality: An Observational Study of 17,345 Persons

Fischer, K., Kettunen, J., Würtz, P., Haller, T., Havulinna, A. S., Kangas, A. J., Soininen, P., Esko, T., Tammesoo, M.-L., Mägi, R., et al. (2014) · PLoS Medicine

Metabolomics and Mass Spectrometry StudiesLipoproteins and Cardiovascular Health

Cited by 344

Genomic prediction of coronary heart disease

Abraham, G., Havulinna, A. S., Bhalala, O. G., Byars, S. G., De Livera, A. M., Yetukuri, L., Tikkanen, E., Perola, M., Schunkert, H., Sijbrands, E. J., et al. (2016) · European Heart Journal

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 338

Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile

Kilpeläinen, T. O., Zillikens, M. C., Stančákova, A., Finucane, F. M., Ried, J. S., Langenberg, C., Zhang, W., Beckmann, J. S., Luan, J., Vandenput, L., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 335

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.

Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., et al. (2019) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 322

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

Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation

Bis, J. C., Jian, X., Kunkle, B. W., Chen, Y., Hamilton-Nelson, K. L., Bush, W. S., Salerno, W. J., Lancour, D., Ma, Y., Renton, A. E., et al. (2020) · Molecular Psychiatry

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 248

The Three-Factor Eating Questionnaire, body mass index, and responses to sweet and salty fatty foods: a twin study of genetic and environmental associations

Keskitalo, K., Tuorila, H., Spector, T. D., Cherkas, L. F., Knaapila, A., Kaprio, J., Silventoinen, K., & Perola, M. (2008) · The American Journal of Clinical Nutrition

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 223

The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis

Fall, T., Hägg, S., Mägi, R., Ploner, A., Fischer, K., Horikoshi, M., Sarin, A.-P., Thorleifsson, G., Ladenvall, C., Kals, M., et al. (2013) · PLoS Medicine

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 203

Midlife sleep characteristics associated with late life cognitive function

Virta, J. J., Heikkilä, K., Perola, M., Koskenvuo, M., Räihä, I., Rinne, J. O., & Kaprio, J. (2013) · Sleep

Sleep and related disordersDementia and Cognitive Impairment Research

Cited by 200

Circulating metabolites and general cognitive ability and dementia: evidence from 11 cohort studies

van der Lee, S. J., Teunissen, C. E., Pool, R., Shipley, M. J., Teumer, A., Chouraki, V., Melo van Lent, D., Tynkkynen, J., Fischer, K., Hernesniemi, J., et al. (2018) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 197

Sweet taste preferences are partly genetically determined: Identification of a trait locus on chromosome 16

Keskitalo, K., Knaapila, A., Kallela, M., Palotie, A., Wessman, M., Sammalisto, S., Peltonen, L., Tuorila, H., & Perola, M. (2007) · The American Journal of Clinical Nutrition

Biochemical Analysis and Sensing TechniquesGenetic Associations and Epidemiology

Cited by 195

Genome-wide linkage analysis for human longevity: Genetics of Healthy Aging Study

Beekman, M., Blanché, H., Perola, M., Hervonen, A., Bezrukov, V., Sikora, E., Flachsbart, F., Christiansen, L., De Craen, A. J. M., Kirkwood, T. B. L., et al. (2013) · Aging Cell

Genetic Associations and EpidemiologyGenetics, Aging, and Longevity in Model Organisms

Cited by 190

Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase

Würtz, P., Wang, Q., Soininen, P., Kangas, A. J., Fatemifar, G., Tynkkynen, T., Tiainen, M., Perola, M., Tillin, T., Hughes, A. D., et al. (2016) · Journal of the American College of Cardiology

Lipoproteins and Cardiovascular HealthMetabolomics and Mass Spectrometry Studies

Cited by 188

Susceptibility of low-density lipoprotein particles to aggregate depends on particle lipidome, is modifiable, and associates with future cardiovascular deaths

Ruuth, M., Nguyen, S. D., Vihervaara, T., Hilvo, M., Laajala, T. D., Kondadi, P. K., Gisterå, A., Lähteenmäki, H., Kittilä, T., Huusko, J., et al. (2018) · European Heart Journal

Lipoproteins and Cardiovascular HealthAtherosclerosis and Cardiovascular Diseases

Cited by 180

Risks of light and moderate alcohol use in fatty liver disease: follow-up of population cohorts

Åberg, F., Puukka, P., Salomaa, V., Männistö, S., Lundqvist, A., Valsta, L., Perola, M., Färkkilä, M., & Jula, A. (2020) · Hepatology

Alcohol Consumption and Health EffectsLiver Disease Diagnosis and Treatment

Cited by 176

FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals

Qi, Q., Kilpeläinen, T. O., Downer, M. K., Tanaka, T., Smith, C. E., Sluijs, I., Sonestedt, E., Chu, A. Y., Renström, F., Lin, X., et al. (2014) · Human Molecular Genetics

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 167

Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study

Voight, B. F., Peloso, G. M., Orho-Melander, M., Frikke-Schmidt, R., Barbalic, M., Jensen, M. K., Hindy, G., Hólm, H., Ding, E. L., Johnson, T., et al. (2012) · The Lancet

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 148

Effects of hormonal contraception on systemic metabolism: cross-sectional and longitudinal evidence

Wang, Q., Würtz, P., Auro, K., Morin-Papunen, L., Kangas, A. J., Soininen, P., Tiainen, M., Tynkkynen, T., Joensuu, A., Havulinna, A. S., et al. (2016) · International Journal of Epidemiology

Reproductive Health and ContraceptionMetabolomics and Mass Spectrometry Studies

Cited by 117