K. Lohman

Discipline

Economies et finances (2) Anthropologie biologique (2) Psychologie (1)

Type de document

Articles (12) Autres (2)

Co-auteur

Date

Source

Mot-clé

association (9) Social groups (9) Meta-analysis (8) Genes (7) Human beings (6) Heredity (6) Genealogy (6) Family (6) roman (6) maladie (5) maladie (5) risque (4) gène (4) Risk (4) Glomerular filtration rate (4) génétique (3) Genetics (3) Obesity (3) Glucose (3) Genetics (3) Expression (3) Regions (3) santé publique (2) projet (2) métabolisme (2) analyse (2) effet (2) ADN (2) adulte (2) comptabilité (2)

Documents écrit par K. Lohman (12) | parle de K. Lohman (0)

Meta-analyses identify DNA methylation associated with kidney function and damage.
P. Schlosser et al. (9 déc. 2021)
Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
M. Graff et al.
Corrigendum: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
M. Gorski et al. (26 mai 2017)
1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
M. Gorski et al. (28 avr. 2017)
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
M. Graff et al.
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.
C. Pattaro et al. (2016)
GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.
C.A. Rietveld et al. (2013)
Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.
O'Seaghdha C.M. et al. (2013)
Genome-wide association and functional follow-up reveals new loci for kidney function.
C. Pattaro et al. (2012)
Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women.
C.S. Fox et al. (2012)
Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.
Z. Dastani et al. (2012)
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.
G.B. Ehret et al. (2011)