P. Froguel

Discipline

Anthropologie biologique (15) Psychologie (1) Philosophie (1) Gestion et management (1) Economies et finances (1)

Type de document

Articles (53) Autres (2)

Co-auteur

Date

Source

Mot-clé

association (38) Social groups (38) Human beings (35) Meta-analysis (24) Genes (21) risque (20) Risk (20) Heredity (20) Genealogy (20) Obesity (19) Family (18) Non-insulin-dependent diabetes (17) Diabetes (17) roman (17) effet (16) adulte (16) Glucose (16) adulte (16) Insulin (15) Evidence (15) gène (14) Expression (13) Blood (13) Body mass index (13) analyse (12) Analysis (12) corps (11) spectacle (10) Population (10) Older people (10)

Documents écrit par P. Froguel (53) | parle de P. Froguel (0)

The trans-ancestral genomic architecture of glycemic traits.
J. Chen et al.
Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.
L. de Las Fuentes et al.
Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes.
E. Porcu et al. (18 mars 2021)
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability.
V. Lagou et al. (5 janv. 2021)
The Map3k12 (Dlk)/JNK3 signaling pathway is required for pancreatic beta-cell proliferation during postnatal development.
M. Tenenbaum et al.
Identification of metabolomics biomarkers for type 2 diabetes: triangulating evidence from longitudinal and Mendelian randomization analyses
E. Porcu et al. (30 oct. 2020)
Fostering improved human islet research: a European perspective.
P. Marchetti et al.
Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals.
C.T. Liu et al. (1 juil. 2019)
Laser capture microdissection of human pancreatic islets reveals novel eQTLs associated with type 2 diabetes.
A. Khamis et al.
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.
T.O. Kilpeläinen et al. (22 janv. 2019)
Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes.
M. Solimena et al.
Cdkn2a deficiency promotes adipose tissue browning.
N. Rabhi et al.
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.
M.F. Feitosa et al. (2018)
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.
E. Wheeler et al.
Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
M. Graff et al.
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.
A.E. Justice et al. (26 avr. 2017)
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
M. Graff et al.
PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study.
A.F. Schmidt et al.
Impaired histone deacetylases 5 and 6 expression mimics the effects of obesity and hypoxia on adipocyte function.
J. Bricambert et al.
The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals.
G.B. Ehret et al.
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.
C. Pattaro et al. (2016)
KAT2B Is Required for Pancreatic Beta Cell Adaptation to Metabolic Stress by Controlling the Unfolded Protein Response.
N. Rabhi et al. (2016)
Endoplasmic Reticulum Stress Links Oxidative Stress to Impaired Pancreatic Beta-Cell Function Caused by Human Oxidized LDL.
V. Plaisance et al. (2016)
Correction: The influence of age and sex on genetic associations with adult body size and shape : a large-scale genome-wide interaction study.
T.W. Winkler et al. (2016)
New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk.
Y. Lu et al. (2016)

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