Insights from the largest diverse ancestry sex-specific disease map for genetically predicted height
We performed ancestry and sex specific Phenome Wide Association Studies (PheWAS) to explore disease related outcomes associated with genetically predicted height.
A. Papadopoulou +38 more
doaj +1 more source
Background Analyses of a bipartite Genotype and Phenotype Network (GPN), linking the genetic variants and phenotypes based on statistical associations, provide an integrative approach to elucidate the complexities of genetic relationships across diseases
Xuewei Cao +4 more
doaj +1 more source
Suicidal ideation (SI) and behavior (SB) are major public health concerns, but risk factors for their development and progression are poorly understood.
Sarah M. C. Colbert +11 more
doaj +1 more source
Limnological Pre-survey of Lake Phewa, Nepal
Article 信州大学理学部紀要 15(1): 27-29(1980)
openaire +1 more source
PheWAS and Pharmacophenomics in Precision Medicine and TraditionalChinese Medicine
Duan, Dayue Darrel +2 more
openaire +2 more sources
Phenome- and laboratory-wide meta-analyses of sickle cell trait reveal multi-system disease associations. [PDF]
Hysong MR +11 more
europepmc +1 more source
Integrative Proteome-Wide Mendelian Randomization and Multi-Omics Analysis Identify ADM and CFH as Candidate Genes for Osteoarthritis. [PDF]
Li H +5 more
europepmc +1 more source
Genetic variation in macrophage-restricted FOLR2 is associated with neurodevelopmental and reproductive immune phenotypes. [PDF]
Jasper EA +6 more
europepmc +1 more source
Proteome-wide Mendelian randomisation of lung function to identify potential therapeutic targets for respiratory disease. [PDF]
Chen J +14 more
europepmc +1 more source
Exploring the Pleiotropic Genetic Architecture of Substance Use Disorders: Findings From Phenome-Wide Association Studies. [PDF]
Hartwell EE, Kember RL.
europepmc +1 more source

