C.N. Rotimi

Discipline

Anthropologie biologique (2)

Type de document

Articles (11)

Co-auteur

Date

Source

Mot-clé

Human beings (11) association (10) Social groups (10) Genes (9) Meta-analysis (7) Evidence (6) Blood (6) spectacle (5) adulte (5) Heredity (5) Genealogy (5) Cholesterol (5) Family (5) adulte (5) risque (4) lipide (4) règlement (4) Risk (4) Blood pressure (4) Older people (4) Regulation (4) cohorte (4) roman (4) architecture (3) effet (3) Diseases (3) Phenotype (3) Population (3) Lipids (3) Hypertension (3)

Documents écrit par C.N. Rotimi (11) | parle de C.N. Rotimi (0)

Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.
S. Kanoni et al. (27 déc. 2022)
Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention.
Z. Wang et al.
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.
S. Ramdas et al. (4 août 2022)
The power of genetic diversity in genome-wide association studies of lipids.
S.E. Graham 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.
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.
T.O. Kilpeläinen et al. (22 janv. 2019)
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)
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.
C. Pattaro et al. (2016)
Directional dominance on stature and cognition in diverse human populations.
P.K. Joshi et al. (2015)
A genome-wide association search for type 2 diabetes genes in African Americans.
N.D. Palmer et al. (2012)
Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study.
E.R. Fox et al. (2011)