FINEMAP: efficient variable selection using summary data from genome-wide association studies

MOTIVATION: The goal of fine-mapping in genomic regions associated with complex diseases and traits is to identify causal variants that point to molecular mechanisms behind the associations. Recent fine-mapping methods using summary data from genome-wide association studies rely on exhaustive search through all possible causal configurations, which is computationally expensive. RESULTS: We introduce FINEMAP, a software package to efficiently explore a set of the most important causal configurations of the region via a shotgun stochastic search algorithm. We show that FINEMAP produces accurate results in a fraction of processing time of existing approaches and is therefore a promising tool for analyzing growing…

• FF
  Foundation for Cardiovascular Research
• WT
  Wellcome Trust
• AO
  Academy of Finland

  Awards: 255847, 288509, 251217 and 255847, 257654, 139635, 251217
• CS
  China Scholarship Council
• S
  Sydäntutkimussäätiö
• TJ
  Terveyden ja hyvinvoinnin laitos