{"id":"https://openalex.org/W2566021189","doi":null,"title":"A Bayesian shared component model for genetic association studies","display_name":"A Bayesian shared component model for genetic association studies","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2566021189","mag":"2566021189"},"language":"en","primary_location":{"id":"pmh:oai:biostats.bepress.com:cobra-1120","doi":null,"is_oa":true,"landing_page_url":"https://biostats.bepress.com/cobra/art75","pdf_url":"https://biostats.bepress.com/cobra/art75","source":{"id":"https://openalex.org/S4377196124","display_name":"Collection of Biostatistics Research Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"COBRA Preprint Series","raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biostats.bepress.com/cobra/art75","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035890299","display_name":"Juan Jose Abellan","orcid":"https://orcid.org/0000-0002-6517-0786","observed_orcids":["https://orcid.org/0000-0002-6517-0786"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan J. Abell\u00e1n","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6517-0786","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053769693","display_name":"Carlos Abell\u00e1n","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Abell\u00e1n","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690068","display_name":"Juan R. Gonz\u00e1lez","orcid":"https://orcid.org/0000-0003-3267-2146","observed_orcids":["https://orcid.org/0000-0003-3267-2146","https://orcid.org/0000-0003-0284-5114"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan R. Gonz\u00e1lez","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3267-2146","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10012","display_name":"Genetic diversity and population structure","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-association-studies","display_name":"genetic association studies","score":0.7889999747276306},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphisms","display_name":"single nucleotide polymorphisms","score":0.9990000128746033},{"id":"https://openalex.org/keywords/case-control-study","display_name":"case-control study","score":0.8759999871253967},{"id":"https://openalex.org/keywords/type-1-diabetes","display_name":"type 1 diabetes","score":0.7009999752044678},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"type 2 diabetes","score":1.0},{"id":"https://openalex.org/keywords/sensitivity-and-specificity","display_name":"sensitivity and specificity","score":0.6769999861717224}],"concepts":[{"id":"https://openalex.org/C186413461","wikidata":"https://www.wikidata.org/wiki/Q744727","display_name":"Genetic association","level":5,"score":0.59552401304245},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.5950615406036377},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5734987854957581},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5019404888153076},{"id":"https://openalex.org/C177860879","wikidata":"https://www.wikidata.org/wiki/Q5532897","display_name":"Genetic epidemiology","level":3,"score":0.4817254841327667},{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.46861013770103455},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.3570329546928406},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3561301827430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.346275269985199},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.32470887899398804},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.30436503887176514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22286474704742432},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12954190373420715},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:biostats.bepress.com:cobra-1120","doi":null,"is_oa":true,"landing_page_url":"https://biostats.bepress.com/cobra/art75","pdf_url":"https://biostats.bepress.com/cobra/art75","source":{"id":"https://openalex.org/S4377196124","display_name":"Collection of Biostatistics Research Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"COBRA Preprint Series","raw_type":"text"},{"id":"mag:2566021189","doi":null,"is_oa":false,"landing_page_url":"https://biostats.bepress.com/cgi/viewcontent.cgi?article=1120&context=cobra","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:biostats.bepress.com:cobra-1120","doi":null,"is_oa":true,"landing_page_url":"https://biostats.bepress.com/cobra/art75","pdf_url":"https://biostats.bepress.com/cobra/art75","source":{"id":"https://openalex.org/S4377196124","display_name":"Collection of Biostatistics Research Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"COBRA Preprint Series","raw_type":"text"},"sustainable_development_goals":[{"score":0.6240000128746033,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321864","display_name":"Generalitat Valenciana","ror":"https://ror.org/0097mvx21"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2566021189.pdf","grobid_xml":"https://content.openalex.org/works/W2566021189.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1976671067","https://openalex.org/W1996838604","https://openalex.org/W2009171533","https://openalex.org/W2010111480","https://openalex.org/W2010747041","https://openalex.org/W2066874799","https://openalex.org/W2083273808","https://openalex.org/W2095741373","https://openalex.org/W2114192876","https://openalex.org/W2114740540","https://openalex.org/W2134783591","https://openalex.org/W2144898279","https://openalex.org/W2326921597"],"related_works":["https://openalex.org/W2505342432","https://openalex.org/W2492804687","https://openalex.org/W1993037961","https://openalex.org/W2022633763","https://openalex.org/W2002539744","https://openalex.org/W7333638","https://openalex.org/W2147272585","https://openalex.org/W7100402241","https://openalex.org/W7099696505","https://openalex.org/W2078803352"],"abstract_inverted_index":{"We":[0,17,119],"present":[1],"a":[2,19,83,89,113,122,151],"novel":[3],"approach":[4],"to":[5,24,33,43,48,65,125,134],"address":[6],"genome":[7],"association":[8,56],"studies":[9,67],"between":[10],"single":[11],"nucleotide":[12],"polymorphisms":[13],"(SNPs)":[14],"and":[15,35,112,129],"disease.":[16,59,72],"propose":[18,147],"Bayesian":[20],"shared":[21],"component":[22],"model":[23,61,81,133,161],"tease":[25],"out":[26,121],"the":[27,38,50,54,58,77,127,144,166,170],"genotype":[28],"information":[29],"that":[30,40,52,143],"is":[31,41],"common":[32],"cases":[34,44],"controls":[36],"from":[37,88],"one":[39,71],"specific":[42],"only.":[45],"This":[46],"allows":[47],"detect":[49,135],"SNPs":[51,87,136],"show":[53,142],"strongest":[55],"with":[57,68,82,100,103,108,116,137],"The":[60,93,160],"can":[62,149],"be":[63,150],"applied":[64],"case-control":[66,90],"more":[69],"than":[70],"In":[73],"fact,":[74],"we":[75,146],"illustrate":[76],"use":[78],"of":[79,85,131,158,169],"this":[80,156],"dataset":[84],"23,418":[86],"study":[91,124],"by":[92],"Welcome":[94],"Trust":[95],"Case":[96],"Control":[97],"Consortium":[98],"(2007)":[99],"2,000":[101,107],"patients":[102],"diabetes":[104,109],"type":[105,110,157],"1,":[106],"2":[111],"control":[114],"group":[115],"3,000":[117],"individuals.":[118],"carry":[120],"simulation":[123],"assess":[126],"sensitivity":[128],"specificity":[130],"our":[132],"excess":[138],"risk.":[139],"Our":[140],"results":[141],"method":[145],"here":[148],"very":[152],"useful":[153],"tool":[154],"for":[155],"studies.":[159],"has":[162],"been":[163],"implemented":[164],"in":[165],"bayesGen":[167],"library":[168],"R":[171],"statistical":[172],"package.":[173]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-01-06T00:00:00"}