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

@article{Benner2016FINEMAPEV,
  title={FINEMAP: efficient variable selection using summary data from genome-wide association studies},
  author={Christian Benner and Chris C. A. Spencer and Aki S. Havulinna and Veikko V Salomaa and Samuli Ripatti and Matti Pirinen},
  journal={Bioinformatics},
  year={2016},
  volume={32 10},
  pages={1493-501}
}
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… CONTINUE READING