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A postprocessing strategy that selects relations most likely to be correct is proposed and evaluated on the output of<jats:italic>SemGen<\/jats:italic>, a system that extracts semantic predications on the etiology of genetic diseases. Based on the number of intervening phrases between an argument and its predicate, we defined a heuristic strategy to filter the extracted semantic relations according to their likelihood of being correct. We also applied this strategy to relations identified with co-occurrence processing. Finally, we exploited postprocessed<jats:italic>SemGen<\/jats:italic>predications to investigate the genetic basis of Parkinson's disease.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The filtering procedure for increased precision is based on the intuition that arguments which occur close to their predicate are easier to identify than those at a distance. For example, if gene-gene relations are filtered for arguments at a distance of 1 phrase from the predicate, precision increases from 41.95% (baseline) to 70.75%. Since this proximity filtering is based on syntactic structure, applying it to the results of co-occurrence processing is useful, but not as effective as when applied to the output of natural language processing.<\/jats:p><jats:p>In an effort to exploit<jats:italic>SemGen<\/jats:italic>predications on the etiology of disease after increasing precision with postprocessing, a gene list was derived from extracted information enhanced with postprocessing filtering and was automatically annotated with<jats:italic>GFINDer<\/jats:italic>, a Web application that dynamically retrieves functional and phenotypic information from structured biomolecular resources. Two of the genes in this list are likely relevant to Parkinson's disease but are not associated with this disease in several important databases on genetic disorders.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Information based on the proximity postprocessing method we suggest is of sufficient quality to be profitably used for subsequent applications aimed at uncovering new biomedical knowledge. Although proximity filtering is only marginally effective for enhancing the precision of relations extracted with co-occurrence processing, it is likely to benefit methods based, even partially, on syntactic structure, regardless of the relation.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1471-2105-7-291","type":"journal-article","created":{"date-parts":[[2006,6,8]],"date-time":"2006-06-08T18:32:10Z","timestamp":1149791530000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of disease"],"prefix":"10.1186","volume":"7","author":[{"given":"Marco","family":"Masseroli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Halil","family":"Kilicoglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fran\u00e7ois-Michel","family":"Lang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas C","family":"Rindflesch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,6,8]]},"reference":[{"key":"1030_CR1","first-page":"554","volume-title":"Proceedings of the American Medical Informatics Association annual symposium: 8-12 November 2003; Washington, DC","author":"TC Rindflesch","year":"2003","unstructured":"Rindflesch TC, Libbus B, Hristovski D, Aronson AR, Kilicoglu H: Semantic relations asserting the etiology of genetic diseases. 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