{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T16:39:44Z","timestamp":1776098384203,"version":"3.50.1"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2016,10,12]],"date-time":"2016-10-12T00:00:00Z","timestamp":1476230400000},"content-version":"vor","delay-in-days":272,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n                  <jats:p>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.<\/jats:p>\n                  <jats:p>Availability and implementation: FINEMAP v1.0 is freely available for Mac OS X and Linux at http:\/\/www.christianbenner.com.<\/jats:p>\n                  <jats:p>Contact: christian.benner@helsinki.fi or matti.pirinen@helsinki.fi<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw018","type":"journal-article","created":{"date-parts":[[2016,2,14]],"date-time":"2016-02-14T20:09:07Z","timestamp":1455480547000},"page":"1493-1501","source":"Crossref","is-referenced-by-count":825,"title":["FINEMAP: efficient variable selection using summary data from genome-wide association studies"],"prefix":"10.1093","volume":"32","author":[{"given":"Christian","family":"Benner","sequence":"first","affiliation":[{"name":"1 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,"},{"name":"2 Department of Public Health, University of Helsinki, Helsinki, Finland,"}]},{"given":"Chris C.A.","family":"Spencer","sequence":"additional","affiliation":[{"name":"3 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK,"}]},{"given":"Aki S.","family":"Havulinna","sequence":"additional","affiliation":[{"name":"4 National Institute for Health and Welfare (THL), Helsinki, Finland and"}]},{"given":"Veikko","family":"Salomaa","sequence":"additional","affiliation":[{"name":"4 National Institute for Health and Welfare (THL), Helsinki, Finland and"}]},{"given":"Samuli","family":"Ripatti","sequence":"additional","affiliation":[{"name":"1 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,"},{"name":"2 Department of Public Health, University of Helsinki, Helsinki, Finland,"},{"name":"5 Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK"}]},{"given":"Matti","family":"Pirinen","sequence":"additional","affiliation":[{"name":"1 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,"}]}],"member":"286","published-online":{"date-parts":[[2016,1,14]]},"reference":[{"key":"2023020112275534100_btw018-B1","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1020281327116","article-title":"An introduction to MCMC for machine learning","volume":"50","author":"Andrieu","year":"2003","journal-title":"Mach. 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