Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals

Area of Science:

• Genetics
• Bioinformatics
• Computational Biology

Background:

• Phenome-wide association studies (PheWAS) link genetic variations to multiple health conditions.
• Understanding the genetic basis of complex traits and disease relationships is crucial.

Purpose of the Study:

• To construct and analyze a disease-disease network (DDN) based on shared genetic variant associations.
• To explore cross-phenotype associations and pleiotropy using a large electronic health record (EHR) dataset.

Main Methods:

• Utilized data from 38,682 unrelated individuals genotyped via the DiscovEHR project.
• Computed associations between 632,574 common variants and 541 diagnosis codes.
• Constructed a DDN where diseases are nodes connected by shared genetic variant associations.

Main Results:

• The DDN revealed both intra-class (e.g., autoimmune disorders) and inter-class disease connections.
• Identified known disease clusters like autoimmune and cardiovascular disorders.
• Discovered previously unreported disease relationships based on shared genetic associations.

Conclusions:

• The network approach effectively uncovers disease interactions mediated by shared pleiotropic single nucleotide polymorphisms (SNPs).
• This method can enhance clinical research and practice by clarifying disease mechanisms through shared genetic underpinnings.