Froguel, Philippe

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 646

A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk

Bouatia-Naji, N., Bonnefond, A., Cavalcanti-Proença, C., Sparsø, T., Holmkvist, J., Marchand, M., Delplanque, J., Lobbens, S., Rocheleau, G., Durand, E., et al. (2009) · Nature Genetics

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 611

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 606

Insulin/Foxo1 Pathway Regulates Expression Levels of Adiponectin Receptors and Adiponectin Sensitivity

Tsuchida, A., Yamauchi, T., Ito, Y., Hada, Y., Maki, T., Takekawa, S., Kamon, J., Kobayashi, M., Suzuki, R., Hara, K., et al. (2004) · Journal of Biological Chemistry

Adipokines, Inflammation, and Metabolic DiseasesAdipose Tissue and Metabolism

Cited by 550

A new highly penetrant form of obesity due to deletions on chromosome 16p11.2

Walters, R. G., Jacquemont, S., Valsesia, A., de Smith, A. J., Martinet, D., Andersson, J., Falchi, M., Chen, F., Andrieux, J., Lobbens, S., et al. (2010) · Nature

Genomic variations and chromosomal abnormalitiesGenetic Associations and Epidemiology

Cited by 543

Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia

Rung, J., Cauchi, S., Albrechtsen, A., Shen, L., Rocheleau, G., Cavalcanti-Proença, C., Bacot, F., Balkau, B., Belisle, A., Borch-Johnsen, K., et al. (2009) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 479

Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus

Jacquemont, S., Reymond, A., Zufferey, F., Harewood, L., Walters, R. G., Kutalik, Z., Martinet, D., Shen, Y., Valsesia, A., Beckmann, N. D., et al. (2011) · Nature

Genomic variations and chromosomal abnormalitiesGenome Rearrangement Algorithms

Cited by 462

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

Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 408

Detection of human adaptation during the past 2000 years

Field, Y., Boyle, E. A., Telis, N., Gao, Z., Gaulton, K. J., Golan, D., Yengo, L., Rocheleau, G., Froguel, P., McCarthy, M. I., et al. (2016) · Science

Forensic and Genetic ResearchEvolution and Genetic Dynamics

Cited by 383

PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Schmidt, A. F., Swerdlow, D. I., Holmes, M. V., Patel, R. S., Fairhurst-Hunter, Z., Lyall, D. M., Hartwig, F. P., Horta, B. L., Hyppönen, E., Power, C., et al. (2017) · The Lancet Diabetes & Endocrinology

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 380

Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes

The Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC), Bonnefond, A., Clément, N., Fawcett, K., Yengo, L., Vaillant, E., Guillaume, J.-L., Dechaume, A., Payne, F., Roussel, R., et al. (2012) · Nature Genetics

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 363

Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes

Strawbridge, R. J., Dupuis, J., Prokopenko, I., Barker, A., Ahlqvist, E., Rybin, D., Petrie, J. R., Travers, M. E., Bouatia-Naji, N., Dimas, A. S., et al. (2011) · Diabetes

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 356

Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

Felix, J. F., Bradfield, J. P., Monnereau, C., van der Valk, R. J. P., Stergiakouli, E., Chesi, A., Gaillard, R., Feenstra, B., Thiering, E., Kreiner-Møller, E., et al. (2016) · Human Molecular Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 343

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

Defective insulin secretion in hepatocyte nuclear factor 1alpha-deficient mice.

Pontoglio, M., Sreenan, S., Roe, M., Pugh, W., Ostrega, D., Doyen, A., Pick, A. J., Baldwin, A., Velho, G., Froguel, P., et al. (1998) · Journal of Clinical Investigation

Pancreatic function and diabetesDiabetes and associated disorders

Cited by 321

New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

The Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Horikoshi, M., Early Growth Genetics (EGG) Consortium, Yaghootkar, H., Mook-Kanamori, D. O., Sovio, U., Taal, H. R., Hennig, B. J., Bradfield, J. P., St Pourcain, B., et al. (2013) · Nature Genetics

Birth, Development, and HealthGenetic Associations and Epidemiology

Cited by 309

Low copy number of the salivary amylase gene predisposes to obesity

Falchi, M., El-Sayed Moustafa, J. S., Takousis, P., Pesce, F., Bonnefond, A., Andersson-Assarsson, J. C., Sudmant, P. H., Dorajoo, R., Al-Shafai, M. N., Bottolo, L., et al. (2014) · Nature Genetics

Genomic variations and chromosomal abnormalitiesGenetic Associations and Epidemiology

Cited by 254

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Schumann, G., Liu, C., O’Reilly, P., Gao, H., Song, P., Xu, B., Ruggeri, B., Amin, N., Jia, T., Preis, S., et al. (2016) · Proceedings of the National Academy of Sciences

Fibroblast Growth Factor ResearchNeurotransmitter Receptor Influence on Behavior

Cited by 241

Association between large detectable clonal mosaicism and type 2 diabetes with vascular complications

Bonnefond, A., Skrobek, B., Lobbens, S., Eury, E., Thuillier, D., Cauchi, S., Lantieri, O., Balkau, B., Riboli, E., Marre, M., et al. (2013) · Nature Genetics

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

Cited by 139

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

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 111

Genetic Association Analyses Highlight IL6 , ALPL , and NAV1 As 3 New Susceptibility Genes Underlying Calcific Aortic Valve Stenosis

Thériault, S., Dina, C., Messika-Zeitoun, D., Le Scouarnec, S., Capoulade, R., Gaudreault, N., Rigade, S., Li, Z., Simonet, F., Lamontagne, M., et al. (2019) · Circulation: Genomic and Precision Medicine

Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 90

The expression of genes in top obesity-associated loci is enriched in insula and substantia nigra brain regions involved in addiction and reward

Ndiaye, F. K., Huyvaert, M., Ortalli, A., Canouil, M., Lecoeur, C., Verbanck, M., Lobbens, S., Khamis, A., Marselli, L., Marchetti, P., et al. (2020) · International Journal of Obesity

Genetic Associations and EpidemiologyNutrition, Genetics, and Disease

Cited by 66