Loos, Ruth J. F.

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Platform, B. G., Flannick, J., DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, et al. (2019) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 304

Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene ( AUTS2 ) in the regulation of alcohol consumption

Schumann, G., Coin, L. J., Lourdusamy, A., Charoen, P., Berger, K. H., Stacey, D., Desrivières, S., Aliev, F. A., Khan, A. A., Amin, N., et al. (2011) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 264

Common Variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE Genes Are Associated With Type 2 Diabetes and Impaired Fasting Glucose in a Chinese Han Population

Wu, Y., Li, H., Loos, R. J. F., Yu, Z., Ye, X., Chen, L., Pan, A., Hu, F. B., & Lin, X. (2008) · Diabetes

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 240

Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake

Tanaka, T., Ngwa, J. S., van Rooij, F. J., Zillikens, M. C., Wojczynski, M. K., Frazier-Wood, A. C., Houston, D. K., Kanoni, S., Lemaitre, R. N., Luan, J., et al. (2013) · The American Journal of Clinical Nutrition

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 226

Physical activity attenuates the body mass index–increasing influence of genetic variation in the FTO gene

Vimaleswaran, K. S., Li, S., Zhao, J. H., Luan, J., Bingham, S. A., Khaw, K.-T., Ekelund, U., Wareham, N. J., & Loos, R. J. (2009) · The American Journal of Clinical Nutrition

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 202

Genetic and environmental influences on height from infancy to early adulthood: an individual-based pooled analysis of 45 twin cohorts

Jelenkovic, A., Sund, R., Hur, Y.-M., Yokoyama, Y., Hjelmborg, J. V. B., Möller, S., Honda, C., Magnusson, P. K. E., Pedersen, N. L., Ooki, S., et al. (2016) · Scientific Reports

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 202

Genomics and phenomics of body mass index reveals a complex disease network

Huang, J., Huffman, J. E., Huang, Y., Do Valle, Í., Assimes, T. L., Raghavan, S., Voight, B. F., Liu, C., Barabási, A.-L., Huang, R. D. L., et al. (2022) · Nature Communications

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 170

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

Albuminuria testing in hypertension and diabetes: an individual-participant data meta-analysis in a global consortium

Shin, J.-I., Chang, A. R., Grams, M. E., Coresh, J., Ballew, S. H., Surapaneni, A., Matsushita, K., Bilo, H. J. G., Carrero, J. J., Chodick, G., et al. (2021) · Hypertension

Chronic Kidney Disease and DiabetesBlood Pressure and Hypertension Studies

Cited by 155

Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

Rusu, V., Hoch, E., Mercader, J. M., Tenen, D. E., Gymrek, M., Hartigan, C. R., DeRan, M., von Grotthuss, M., Fontanillas, P., Spooner, A., et al. (2017) · Cell

Genetic Associations and EpidemiologyMetabolism, Diabetes, and Cancer

Cited by 152

NIH working group report—using genomic information to guide weight management: from universal to precision treatment

Bray, M. S., Loos, R. J. F., McCaffery, J. M., Ling, C., Franks, P. W., Weinstock, G. M., Snyder, M. P., Vassy, J. L., Agurs‐Collins, T., & The Conference Working Group (2016) · Obesity

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 138

Genetic and environmental variation in educational attainment: an individual-based analysis of 28 twin cohorts

Silventoinen, K., Jelenkovic, A., Sund, R., Latvala, A., Honda, C., Inui, F., Tomizawa, R., Watanabe, M., Sakai, N., Rebato, E., et al. (2020) · Scientific Reports

Intergenerational and Educational Inequality StudiesGenetic Associations and Epidemiology

Cited by 126

Association of Genetic Loci With Glucose Levels in Childhood and Adolescence

Barker, A., Sharp, S. J., Timpson, N. J., Bouatia-Naji, N., Warrington, N. M., Kanoni, S., Beilin, L. J., Brage, S., Deloukas, P., Evans, D. M., et al. (2011) · Diabetes

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 117

PFAS Exposures and the Human Metabolome: A Systematic Review of Epidemiological Studies

India-Aldana, S., Yao, M., Midya, V., Colicino, E., Chatzi, L., Chu, J., Gennings, C., Jones, D. P., Loos, R. J. F., Setiawan, V. W., et al. (2023) · Current Pollution Reports

Per- and polyfluoroalkyl substances researchMetabolomics and Mass Spectrometry Studies

Cited by 114

Dysregulation of a long noncoding RNA reduces leptin leading to a leptin-responsive form of obesity

Dallner, O. S., Marinis, J. M., Lu, Y.-H., Birsoy, K., Werner, E., Fayzikhodjaeva, G., Dill, B. D., Molina, H., Moscati, A., Kutalik, Z., et al. (2019) · Nature Medicine

Regulation of Appetite and ObesityAdipokines, Inflammation, and Metabolic Diseases

Cited by 106

TOP-LD: A tool to explore linkage disequilibrium with TOPMed whole-genome sequence data

Huang, L., Rosen, J. D., Sun, Q., Chen, J., Wheeler, M. M., Zhou, Y., Min, Y.-I., Kooperberg, C., Conomos, M. P., Stilp, A. M., et al. (2022) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 97

Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Katz, D. H., Tahir, U. A., Bick, A. G., Pampana, A., Ngo, D., Benson, M. D., Yu, Z., Robbins, J. M., Chen, Z.-Z., Cruz, D. E., et al. (2022) · Circulation

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 92

Genome-wide association study of height-adjusted BMI in childhood identifies functional variant in ADCY3: GWAS of Height-Adjusted BMI

Stergiakouli, E., Gaillard, R., Tavaré, J. M., Balthasar, N., Loos, R. J., Taal, H. R., Evans, D. M., Rivadeneira, F., St Pourcain, B., Uitterlinden, A. G., et al. (2014) · Obesity

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 90

Multiancestry Genome-Wide Association Study of Aortic Stenosis Identifies Multiple Novel Loci in the Million Veteran Program

Small, A. M., Peloso, G. M., Linefsky, J., Aragam, J., Galloway, A., Tanukonda, V., Wang, L.-C., Yu, Z., Sunitha Selvaraj, M., Farber-Eger, E. H., et al. (2023) · Circulation

Genetic Associations and EpidemiologyCardiac Valve Diseases and Treatments

Cited by 76

Type 2 diabetes partitioned polygenic scores associate with disease outcomes in 454,193 individuals across 13 cohorts

DiCorpo, D., LeClair, J., Cole, J. B., Sarnowski, C., Ahmadizar, F., Bielak, L. F., Blokstra, A., Bottinger, E. P., Chaker, L., Chen, Y.-D. I., et al. (2022) · Diabetes Care

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 66

Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994

Jelenkovic, A., Hur, Y.-M., Sund, R., Yokoyama, Y., Siribaddana, S. H., Hotopf, M., Sumathipala, A., Rijsdijk, F., Tan, Q., Zhang, D., et al. (2016) · eLife

Genetic Associations and EpidemiologyHistorical Economic and Social Studies

Cited by 62

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

Takele, W. W., Vesco, K. K., Josefson, J., Redman, L. M., Hannah, W., Bonham, M. P., Chen, M., Chivers, S. C., Fawcett, A. J., Grieger, J. A., et al. (2024) · Communications Medicine

Gestational Diabetes Research and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 55

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43