Journal
BIOINFORMATICS
Volume 32, Issue 10, Pages 1493-1501Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw018
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Funding
- Doctoral Programme in Population Health
- Academy of Finland [257654, 288509, 251217, 255847]
- Wellcome Trust Career Development Fellowship [097364/Z/11/Z]
- Academy of Finland Center of Excellence for Complex Disease Genetics
- EU FP7 projects ENGAGE [201413]
- BioSHaRE [261433]
- Finnish Foundation for Cardiovascular Research
- Biocentrum Helsinki
- Sigrid Juselius Foundation
- Academy of Finland (AKA) [288509, 255847, 251217, 257654, 251217, 255847, 257654, 288509] Funding Source: Academy of Finland (AKA)
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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 and emerging sequencing projects.
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