Männistö, Satu

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

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,912

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

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

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,034

Identification of seven loci affecting mean telomere length and their association with disease

CARDIoGRAM consortium, Codd, V., Nelson, C. P., Albrecht, E., Mangino, M., Deelen, J., Buxton, J. L., Hottenga, J. J., Fischer, K., Esko, T., et al. (2013) · Nature Genetics

Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology

Cited by 933

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

23andMe Research Team, Walters, R. K., Polimanti, R., Johnson, E. C., McClintick, J. N., Adams, M. J., Adkins, A. E., Aliev, F., Bacanu, S.-A., Batzler, A., et al. (2018) · Nature Neuroscience

Genetic Associations and EpidemiologySubstance Abuse Treatment and Outcomes

Cited by 632

Rare and low-frequency coding variants alter human adult height

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 610

Emotional eating, depressive symptoms and self-reported food consumption. A population-based study.

Konttinen, H., Männistö, S., Sarlio-Lähteenkorva, S., Silventoinen, K., & Haukkala, A. (2010) · Appetite

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 546

Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

Zanoni, P., Khetarpal, S. A., Larach, D. B., Hancock-Cerutti, W. F., Millar, J. S., Cuchel, M., DerOhannessian, S., Kontush, A., Surendran, P., Saleheen, D., et al. (2016) · Science

Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health

Cited by 545

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

Depression, emotional eating and long-term weight changes: a population-based prospective study

Konttinen, H., van Strien, T., Männistö, S., Jousilahti, P., & Haukkala, A. (2019) · International Journal of Behavioral Nutrition and Physical Activity

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 341

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

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

Metabolic Signatures of Adiposity in Young Adults: Mendelian Randomization Analysis and Effects of Weight Change

Würtz, P., Wang, Q., Kangas, A. J., Richmond, R. C., Skarp, J., Tiainen, M., Tynkkynen, T., Soininen, P., Havulinna, A. S., Kaakinen, M., et al. (2014) · PLoS Medicine

Adipokines, Inflammation, and Metabolic DiseasesMetabolomics and Mass Spectrometry Studies

Cited by 280

Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders

Hatoum, A. S., Colbert, S. M. C., Johnson, E. C., Huggett, S. B., Deak, J. D., Pathak, G. A., Jennings, M. V., Paul, S. E., Karcher, N. R., Hansen, I., et al. (2023) · Nature Mental Health

Genetic Associations and EpidemiologySubstance Abuse Treatment and Outcomes

Cited by 241

Tendency toward eveningness is associated with unhealthy dietary habits

Kanerva, N., Kronholm, E., Partonen, T., Ovaskainen, M.-L., Kaartinen, N. E., Konttinen, H., Broms, U., & Männistö, S. (2012) · Chronobiology International

Nutrition, Health and Food BehaviorNutritional Studies and Diet

Cited by 209

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

Emotional eating and physical activity self-efficacy as pathways in the association between depressive symptoms and adiposity indicators

Konttinen, H., Silventoinen, K., Sarlio-Lähteenkorva, S., Männistö, S., & Haukkala, A. (2010) · The American Journal of Clinical Nutrition

Eating Disorders and BehaviorsObesity, Physical Activity, Diet

Cited by 189

The associations between chronotype, a healthy diet and obesity

Maukonen, M., Kanerva, N., Partonen, T., Kronholm, E., Konttinen, H., Wennman, H., & Männistö, S. (2016) · Chronobiology International

Nutritional Studies and DietSleep and related disorders

Cited by 187

Prospective study of coffee consumption and risk of Parkinson’s disease

Sääksjärvi, K., Knekt, P., Rissanen, H., Laaksonen, M. A., Reunanen, A., & Männistö, S. (2008) · European Journal of Clinical Nutrition

Coffee research and impactsParkinson's Disease Mechanisms and Treatments

Cited by 182

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

Chronotype differences in timing of energy and macronutrient intakes: A population-based study in adults

Maukonen, M., Kanerva, N., Partonen, T., Kronholm, E., Tapanainen, H., Kontto, J., & Männistö, S. (2017) · Obesity

Circadian rhythm and melatoninSleep and related disorders

Cited by 145