{"id":"https://openalex.org/W4392289673","doi":"https://doi.org/10.3389/fdata.2024.1266031","title":"Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project","display_name":"Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project","publication_year":2024,"publication_date":"2024-02-29","ids":{"openalex":"https://openalex.org/W4392289673","doi":"https://doi.org/10.3389/fdata.2024.1266031","pmid":"https://pubmed.ncbi.nlm.nih.gov/38487517"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2024.1266031","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1266031","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2024.1266031/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fdata.2024.1266031/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028416640","display_name":"Dmitry Kolobkov","orcid":"https://orcid.org/0000-0003-4225-2057"},"institutions":[{"id":"https://openalex.org/I4210148309","display_name":"Vavilov Institute of General Genetics","ror":"https://ror.org/05ermrg42","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210129690","https://openalex.org/I4210148309"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry Kolobkov","raw_affiliation_strings":["GENXT, Hinxton, United Kingdom","Laboratory of Ecological Genetics, Vavilov Institute of General Genetics, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]},{"raw_affiliation_string":"Laboratory of Ecological Genetics, Vavilov Institute of General Genetics, Moscow, Russia","institution_ids":["https://openalex.org/I4210148309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049919541","display_name":"Satyarth Mishra Sharma","orcid":"https://orcid.org/0000-0001-5941-0678"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Satyarth Mishra Sharma","raw_affiliation_strings":["Center for Artificial Intelligence Technology, Skolkovo Institute of Science and Technology, Moscow, Russia","GENXT, Hinxton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence Technology, Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047745362","display_name":"Aleksandr Medvedev","orcid":"https://orcid.org/0000-0002-6871-4240"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Medvedev","raw_affiliation_strings":["Center for Artificial Intelligence Technology, Skolkovo Institute of Science and Technology, Moscow, Russia","GENXT, Hinxton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence Technology, Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038480498","display_name":"Mikhail Lebedev","orcid":"https://orcid.org/0000-0002-3568-6511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikhail Lebedev","raw_affiliation_strings":["GENXT, Hinxton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073708796","display_name":"Egor Kosaretskiy","orcid":"https://orcid.org/0000-0002-8402-4557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Egor Kosaretskiy","raw_affiliation_strings":["GENXT, Hinxton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081050973","display_name":"Ruslan Vakhitov","orcid":"https://orcid.org/0000-0001-6001-2271"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruslan Vakhitov","raw_affiliation_strings":["GENXT, Hinxton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"GENXT, Hinxton, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028416640"],"corresponding_institution_ids":["https://openalex.org/I4210148309"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":8.1282,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97827726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"1266031","last_page":"1266031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9904999732971191,"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/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/biobank","display_name":"Biobank","score":0.8429654240608215},{"id":"https://openalex.org/keywords/custodians","display_name":"Custodians","score":0.8240450024604797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259695529937744},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6869006752967834},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5604713559150696},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.428469717502594},{"id":"https://openalex.org/keywords/disparate-system","display_name":"Disparate system","score":0.42659637331962585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37339264154434204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36340194940567017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25432318449020386},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2250756025314331},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15256717801094055},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10444557666778564}],"concepts":[{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.8429654240608215},{"id":"https://openalex.org/C2779891390","wikidata":"https://www.wikidata.org/wiki/Q964630","display_name":"Custodians","level":2,"score":0.8240450024604797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259695529937744},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6869006752967834},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5604713559150696},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.428469717502594},{"id":"https://openalex.org/C19443361","wikidata":"https://www.wikidata.org/wiki/Q5282533","display_name":"Disparate system","level":2,"score":0.42659637331962585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37339264154434204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36340194940567017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25432318449020386},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2250756025314331},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15256717801094055},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10444557666778564},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2024.1266031","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1266031","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2024.1266031/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:38487517","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38487517","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10937521","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10937521","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10937521/pdf/fdata-07-1266031.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b14112679d3940778ebf1cba9bbd7bc0","is_oa":true,"landing_page_url":"https://doaj.org/article/b14112679d3940778ebf1cba9bbd7bc0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2024.1266031","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1266031","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2024.1266031/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392289673.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1523985187","https://openalex.org/W1968886567","https://openalex.org/W2099085143","https://openalex.org/W2102213696","https://openalex.org/W2104549677","https://openalex.org/W2108169091","https://openalex.org/W2135046866","https://openalex.org/W2143992683","https://openalex.org/W2157752701","https://openalex.org/W2167779470","https://openalex.org/W2402235285","https://openalex.org/W2473418344","https://openalex.org/W2528808197","https://openalex.org/W2599488836","https://openalex.org/W2611603562","https://openalex.org/W2773164960","https://openalex.org/W2794694102","https://openalex.org/W2901303766","https://openalex.org/W2912213068","https://openalex.org/W2915050524","https://openalex.org/W2932671560","https://openalex.org/W2955213239","https://openalex.org/W2955214642","https://openalex.org/W2963819344","https://openalex.org/W2981390668","https://openalex.org/W2981644170","https://openalex.org/W2992834112","https://openalex.org/W3012501605","https://openalex.org/W3018464563","https://openalex.org/W3025794503","https://openalex.org/W3028329270","https://openalex.org/W3032683009","https://openalex.org/W3033997480","https://openalex.org/W3037882675","https://openalex.org/W3040685212","https://openalex.org/W3086590218","https://openalex.org/W3089578458","https://openalex.org/W3091870957","https://openalex.org/W3093838039","https://openalex.org/W3100779497","https://openalex.org/W3108062021","https://openalex.org/W3118996476","https://openalex.org/W3121239749","https://openalex.org/W3127623619","https://openalex.org/W3129840172","https://openalex.org/W3134145720","https://openalex.org/W3134184401","https://openalex.org/W3176786489","https://openalex.org/W3195889974","https://openalex.org/W4206175800","https://openalex.org/W4206941915","https://openalex.org/W4206974986","https://openalex.org/W4207032724","https://openalex.org/W4207073844","https://openalex.org/W4212774754","https://openalex.org/W4226311063","https://openalex.org/W4235147854","https://openalex.org/W4280617223","https://openalex.org/W4285364220","https://openalex.org/W4286858500","https://openalex.org/W4286859152","https://openalex.org/W4297060071","https://openalex.org/W4297206475","https://openalex.org/W4315472661","https://openalex.org/W4362576394","https://openalex.org/W4385737247","https://openalex.org/W6728757088","https://openalex.org/W6766978945","https://openalex.org/W6773817997"],"related_works":["https://openalex.org/W2993712265","https://openalex.org/W3113746618","https://openalex.org/W4226051228","https://openalex.org/W1994553026","https://openalex.org/W3017691140","https://openalex.org/W2024651825","https://openalex.org/W4384208482","https://openalex.org/W4244742767","https://openalex.org/W1917558546","https://openalex.org/W4240949737"],"abstract_inverted_index":{"Combining":[0],"training":[1,56],"data":[2,28,34,68,86,104,118,135],"from":[3],"multiple":[4],"sources":[5],"increases":[6],"sample":[7],"size":[8],"and":[9,16,119,166],"reduces":[10],"confounding,":[11],"leading":[12],"to":[13,52,143,169],"more":[14],"accurate":[15],"less":[17],"biased":[18],"machine":[19],"learning":[20,47,77,101],"models.":[21],"In":[22],"healthcare,":[23],"however,":[24],"direct":[25],"pooling":[26],"of":[27,43,67,75,99,150],"is":[29,72,161],"often":[30],"not":[31,88],"allowed":[32],"by":[33,55,105,163],"custodians":[35],"who":[36],"are":[37],"accountable":[38],"for":[39,96,102],"minimizing":[40],"the":[41,65,94,97,115,123,148],"exposure":[42],"sensitive":[44],"information.":[45],"Federated":[46],"offers":[48],"a":[49,57,60],"promising":[50],"solution":[51],"this":[53],"problem":[54],"model":[58,159],"in":[59,109,147],"decentralized":[61],"manner":[62],"thus":[63],"reducing":[64],"risks":[66],"leakage.":[69],"Although":[70],"there":[71],"increasing":[73],"utilization":[74],"federated":[76,100,131,158],"on":[78,83,114,122,134],"clinical":[79],"data,":[80],"its":[81,107],"efficacy":[82],"individual-level":[84],"genomic":[85,103],"has":[87],"been":[89],"studied.":[90],"This":[91],"study":[92],"lays":[93],"groundwork":[95],"adoption":[98],"investigating":[106],"applicability":[108],"two":[110],"scenarios:":[111],"phenotype":[112],"prediction":[113,121],"UK":[116],"Biobank":[117],"ancestry":[120],"1000":[124],"Genomes":[125],"Project":[126],"data.":[127],"We":[128],"show":[129],"that":[130],"models":[132],"trained":[133],"split":[136],"into":[137],"independent":[138],"nodes":[139],"achieve":[140],"performance":[141],"close":[142],"centralized":[144],"models,":[145],"even":[146],"presence":[149],"significant":[151],"inter-node":[152],"heterogeneity.":[153],"Additionally,":[154],"we":[155],"investigate":[156],"how":[157],"accuracy":[160],"affected":[162],"communication":[164,174],"frequency":[165],"suggest":[167],"approaches":[168],"reduce":[170],"computational":[171],"complexity":[172],"or":[173],"costs.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}
