D.A. Bennett

Discipline

Anthropologie biologique (6) Psychologie (1)

Type de document

Articles (13) Autres (1)

Co-auteur

Date

Source

Mot-clé

association (11) Social groups (11) Human beings (11) Genes (7) effet (6) Phenotype (6) Meta-analysis (5) Heredity (5) Genealogy (5) Family (5) biologie (4) spectacle (4) génétique (4) Variation (4) Genetics (4) Sex (4) Genetics (4) Forecasting (4) Evidence (4) Biology (4) Sizes (4) corps (4) roman (4) risque (3) lipide (3) analyse (3) gène (3) maladie (3) âge (3) Risk (3)

Documents écrit par D.A. Bennett (13) | parle de D.A. Bennett (0)

Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.
S. Kanoni et al. (27 déc. 2022)
Stroke genetics informs drug discovery and risk prediction across ancestries.
A. Mishra et al.
A saturated map of common genetic variants associated with human height.
L. Yengo 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.
Associations of autozygosity with a broad range of human phenotypes.
D.W. Clark et al. (31 oct. 2019)
Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.
M.C. Zillikens et al. (19 juil. 2017)
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses.
A. Okbay et al.
Genome-wide association study identifies 74 loci associated with educational attainment.
A. Okbay 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)
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. (2015)
GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.
C.A. Rietveld et al. (2013)