SharePro: an accurate and efficient genetic colocalization method accounting for multiple causal signals

Abstract

Colocalization analysis is a commonly used statistical procedure to assess whether two or more traits share the same genetic signals identified in genome-wide association studies (GWAS) (, , , , , ). It is important for understanding the interplay between heritable traits (, ), such as validating causal inference results based on Mendelian randomization analysis (, , ) and identifying candidate genes for functional follow-up studies (, , , ). Therefore, a powerful colocalization method with a well-controlled false positive rate is crucial for increasing the yield of complex trait genetics stud