Unknown

Dataset Information

Probabilistic colocalization of genetic variants from complex and molecular traits: promise and limitations.


ABSTRACT: Colocalization analysis has emerged as a powerful tool to uncover the overlapping of causal variants responsible for both molecular and complex disease phenotypes. The findings from colocalization analysis yield insights into the molecular pathways of complex diseases. In this paper, we conduct an in-depth investigation of the promise and limitations of the available colocalization analysis approaches. Focusing on variant-level colocalization approaches, we first establish the connections between various existing methods. We proceed to discuss the impacts of various controllable analytical factors and uncontrollable practical factors on outcomes of colocalization analysis through realistic simulations and real data examples. We identify a single analytical factor, the specification of prio

SUBMITTER: Hukku A 

PROVIDER: S-EPMC7820626 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature