{"id":"https://openalex.org/W2021697287","doi":"https://doi.org/10.1109/bibm.2014.6999379","title":"Genome-wide association analysis with matched samples discloses additional novel risk loci","display_name":"Genome-wide association analysis with matched samples discloses additional novel risk loci","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2021697287","doi":"https://doi.org/10.1109/bibm.2014.6999379","mag":"2021697287"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025069678","display_name":"Jungsoo Gim","orcid":"https://orcid.org/0000-0002-6454-9751"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jungsoo Gim","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, Korea (Republic of)","Interdisciplinary program for Bioinformatics, and Department of Statistics, Seoul National University, Seoul, Korea (Republic of)"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, Korea (Republic of)","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Interdisciplinary program for Bioinformatics, and Department of Statistics, Seoul National University, Seoul, Korea (Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090214669","display_name":"Sungkyoung Choi","orcid":"https://orcid.org/0000-0002-4266-5911"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Sungkyoung Choi","raw_affiliation_strings":["Department of Statistics Iowa State, University Iowa state, United States of America","Interdisciplinary program for Bioinformatics, Seoul National University, Seoul, Korea (Republic of)"],"affiliations":[{"raw_affiliation_string":"Department of Statistics Iowa State, University Iowa state, United States of America","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Interdisciplinary program for Bioinformatics, Seoul National University, Seoul, Korea (Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121708","display_name":"Jongho Im","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]},{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Jongho Im","raw_affiliation_strings":["Interdisciplinary program for Bioinformatics Seoul National University, Seoul, Korea (Republic of)","Department of Statistics, Iowa State University, Iowa state, United States of America"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary program for Bioinformatics Seoul National University, Seoul, Korea (Republic of)","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa state, United States of America","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652684","display_name":"Jaekwang Kim","orcid":"https://orcid.org/0000-0002-7312-4077"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jae-Kwang Kim","raw_affiliation_strings":["Department of Statistics, Iowa State University, Iowa state, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa state, United States of America","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643662","display_name":"Taesung Park","orcid":"https://orcid.org/0000-0002-8294-590X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Taesung Park","raw_affiliation_strings":["Department of Statistics, Iowa State University, Iowa state, United States of America","Interdisciplinary program for Bioinformatics, and Department of Statistics, Seoul National University, Seoul, Korea (Republic of)"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Iowa State University, Iowa state, United States of America","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Interdisciplinary program for Bioinformatics, and Department of Statistics, Seoul National University, Seoul, Korea (Republic of)","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025069678"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08329248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"147","issue":null,"first_page":"5","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9993000030517578,"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":0.9993000030517578,"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/T10499","display_name":"Folate and B Vitamins Research","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6521347761154175},{"id":"https://openalex.org/keywords/genetic-association","display_name":"Genetic association","score":0.5973443388938904},{"id":"https://openalex.org/keywords/genome-wide-association-study","display_name":"Genome-wide association study","score":0.5717129111289978},{"id":"https://openalex.org/keywords/propensity-score-matching","display_name":"Propensity score matching","score":0.5130957365036011},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4871637523174286},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.47273245453834534},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.4309418797492981},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43091756105422974},{"id":"https://openalex.org/keywords/equating","display_name":"Equating","score":0.4289604723453522},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41112056374549866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38653165102005005},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3486778140068054},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.34357142448425293},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3199423551559448},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26011425256729126},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24746423959732056},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.20514482259750366},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.1765330731868744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1338263750076294},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12686818838119507},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.1259479522705078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11472266912460327}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6521347761154175},{"id":"https://openalex.org/C186413461","wikidata":"https://www.wikidata.org/wiki/Q744727","display_name":"Genetic association","level":5,"score":0.5973443388938904},{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.5717129111289978},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.5130957365036011},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4871637523174286},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.47273245453834534},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.4309418797492981},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43091756105422974},{"id":"https://openalex.org/C106347477","wikidata":"https://www.wikidata.org/wiki/Q5384228","display_name":"Equating","level":3,"score":0.4289604723453522},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41112056374549866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38653165102005005},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3486778140068054},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.34357142448425293},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3199423551559448},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26011425256729126},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24746423959732056},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.20514482259750366},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1765330731868744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1338263750076294},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12686818838119507},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.1259479522705078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11472266912460327},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C101266164","wikidata":"https://www.wikidata.org/wiki/Q2131821","display_name":"Rasch model","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980991473","https://openalex.org/W1992882281","https://openalex.org/W2038050993","https://openalex.org/W2065121870","https://openalex.org/W2079854622","https://openalex.org/W2095334503","https://openalex.org/W2132872759","https://openalex.org/W2139577967","https://openalex.org/W2139911862","https://openalex.org/W2140609764","https://openalex.org/W2141642891","https://openalex.org/W2150291618","https://openalex.org/W2168458505","https://openalex.org/W2796619953","https://openalex.org/W3125459412","https://openalex.org/W4234961057"],"related_works":["https://openalex.org/W2594299395","https://openalex.org/W2066467839","https://openalex.org/W2111842731","https://openalex.org/W2170506381","https://openalex.org/W2765794416","https://openalex.org/W2039666944","https://openalex.org/W1531630856","https://openalex.org/W1486217206","https://openalex.org/W1992310781","https://openalex.org/W2794350630"],"abstract_inverted_index":{"Genome-wide":[0,189],"association":[1,99,111,132,163,190,213,255],"studies":[2,232],"have":[3,20,208],"identified":[4,210],"many":[5],"candidate":[6,246],"causal":[7,247],"variants":[8,90,202,248],"associated":[9],"with":[10,77,86,192,227,233,257],"common":[11,251],"complex":[12],"diseases":[13,252],"and":[14,66,73,158,161,203],"traits,":[15],"but":[16],"most":[17],"of":[18,103,117,138,144,153,173,206,215,230,243],"them":[19],"been":[21],"drawn":[22,32],"from":[23,33,50,211],"nonrandomized":[24,28,78],"case/control":[25,231],"designs.":[26],"In":[27],"experiments,":[29],"the":[30,41,51,55,115,135,151,156,171,212],"results":[31],"two":[34],"different":[35],"groups":[36,160],"can":[37,84,223],"be":[38,225],"misleading":[39],"because":[40],"units":[42,52,68],"exposed":[43,53],"to":[44,54,63,107,179,197],"one":[45],"group":[46,64],"generally":[47],"differ":[48],"systematically":[49],"other":[56,228],"group.":[57],"Propensity":[58],"score":[59,82],"is":[60,106,195],"widely":[61],"used":[62],"case":[65,157],"control":[67,147,159,217],"for":[69,128,250],"a":[70,109,125,129,241],"more":[71],"direct":[72],"significant":[74],"comparison":[75],"even":[76],"experiments.":[79],"This":[80,237],"propensity":[81],"matching":[83],"help":[85],"prioritizing":[87],"additional":[88,200,245],"uncovered":[89],"on":[91,114],"disease":[92],"risk":[93],"via":[94],"sub-group":[95],"analysis":[96,164,256],"in":[97,155,185],"genome-wide":[98,131,254],"studies.":[100],"The":[101,219],"aim":[102],"this":[104,122,174],"work":[105],"propose":[108],"post-hoc":[110,130],"test":[112,133,214],"based":[113],"subsets":[116],"samples.":[118,168,218,259],"For":[119],"that":[120,143,239],"purpose,":[121],"paper":[123],"presents":[124],"new":[126],"paradigm":[127],"when":[134],"sample":[136],"size":[137],"controls":[139],"are":[140],"larger":[141],"than":[142],"cases:":[145],"selecting":[146],"samples":[148,194],"by":[149,176],"equating":[150],"distribution":[152],"covariates":[154],"re-performing":[162],"upon":[165],"these":[166],"matched":[167,193,258],"We":[169],"demonstrated":[170],"feasibility":[172],"approach":[175,191],"applying":[177],"it":[178],"2752":[180],"type":[181],"II":[182],"diabetes":[183],"patients":[184],"8842":[186],"Korean":[187],"population.":[188],"able":[196],"disclose":[198],"9":[199,207],"novel":[201],"7":[204],"out":[205],"not":[209],"whole":[216],"process":[220],"described":[221],"here":[222],"successfully":[224],"combined":[226],"types":[229],"large":[234],"covariate":[235],"information.":[236],"indicates":[238],"there":[240],"possibility":[242],"obtaining":[244],"responsible":[249],"through":[253]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}