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- W2950409750 abstract "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 amounts of data produced in genome-wide association studies. Availability: FINEMAP v1.0 is freely available for Mac OS X and Linux at http://www.christianbenner.com." @default.
- W2950409750 created "2019-06-27" @default.
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- W2950409750 date "2015-09-22" @default.
- W2950409750 modified "2023-10-15" @default.
- W2950409750 title "FINEMAP: Efficient variable selection using summary data from genome-wide association studies" @default.
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- W2950409750 doi "https://doi.org/10.1101/027342" @default.
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