{"id":"https://openalex.org/W4308957951","doi":"https://doi.org/10.1089/cmb.2022.0067","title":"Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix","display_name":"Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4308957951","doi":"https://doi.org/10.1089/cmb.2022.0067","pmid":"https://pubmed.ncbi.nlm.nih.gov/36374242"},"language":"en","primary_location":{"id":"doi:10.1089/cmb.2022.0067","is_oa":false,"landing_page_url":"https://doi.org/10.1089/cmb.2022.0067","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10161374/1/Grandjean_LiMU%20copy%20.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019595657","display_name":"Shijia Wang","orcid":"https://orcid.org/0000-0003-0339-1716"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijia Wang","raw_affiliation_strings":["School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0339-1716","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083832514","display_name":"Shufei Ge","orcid":"https://orcid.org/0000-0002-9395-3884"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shufei Ge","raw_affiliation_strings":["Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020907859","display_name":"Benjamin Sobkowiak","orcid":"https://orcid.org/0000-0002-1382-1137"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Benjamin Sobkowiak","raw_affiliation_strings":["Department of Mathematics and Simon Fraser University, Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462051","display_name":"Liangliang Wang","orcid":"https://orcid.org/0000-0002-8509-7985"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liangliang Wang","raw_affiliation_strings":["Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042365397","display_name":"Louis Grandjean","orcid":"https://orcid.org/0000-0002-1457-8327"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Louis Grandjean","raw_affiliation_strings":["Department of Infectious Diseases, University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Infectious Diseases, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091754800","display_name":"Caroline Colijn","orcid":"https://orcid.org/0000-0001-6097-6708"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Caroline Colijn","raw_affiliation_strings":["Department of Mathematics and Simon Fraser University, Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088544768","display_name":"Lloyd T. Elliott","orcid":"https://orcid.org/0000-0003-2187-7314"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Lloyd T. Elliott","raw_affiliation_strings":["Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2187-7314","affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088544768"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.0783,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39032227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"30","issue":"2","first_page":"189","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9897000193595886,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9873999953269958,"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/genome-wide-association-study","display_name":"Genome-wide association study","score":0.5423700213432312},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.5332816243171692},{"id":"https://openalex.org/keywords/genetic-association","display_name":"Genetic association","score":0.4742887616157532},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.473849356174469},{"id":"https://openalex.org/keywords/population-stratification","display_name":"Population stratification","score":0.4670763313770294},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4457206130027771},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4250600039958954},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4107918441295624},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4014137387275696},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.36811041831970215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.363433301448822},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.35668081045150757},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3516378104686737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3184783458709717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23569253087043762},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.12939229607582092},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08796101808547974}],"concepts":[{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.5423700213432312},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.5332816243171692},{"id":"https://openalex.org/C186413461","wikidata":"https://www.wikidata.org/wiki/Q744727","display_name":"Genetic association","level":5,"score":0.4742887616157532},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.473849356174469},{"id":"https://openalex.org/C166976648","wikidata":"https://www.wikidata.org/wiki/Q7229824","display_name":"Population stratification","level":5,"score":0.4670763313770294},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4457206130027771},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4250600039958954},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4107918441295624},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4014137387275696},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.36811041831970215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.363433301448822},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.35668081045150757},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3516378104686737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3184783458709717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23569253087043762},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.12939229607582092},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08796101808547974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1089/cmb.2022.0067","is_oa":false,"landing_page_url":"https://doi.org/10.1089/cmb.2022.0067","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},{"id":"pmid:36374242","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36374242","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":"Journal of computational biology : a journal of computational molecular cell biology","raw_type":null},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10161374","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10161374/","pdf_url":"https://discovery.ucl.ac.uk/10161374/1/Grandjean_LiMU%20copy%20.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational Biology (2022) (In press).","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10161374","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10161374/","pdf_url":"https://discovery.ucl.ac.uk/10161374/1/Grandjean_LiMU%20copy%20.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational Biology (2022) (In press).","raw_type":"Article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308957951.pdf","grobid_xml":"https://content.openalex.org/works/W4308957951.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1952660301","https://openalex.org/W1959208445","https://openalex.org/W1966775465","https://openalex.org/W1972145956","https://openalex.org/W1983759092","https://openalex.org/W2005587766","https://openalex.org/W2012473911","https://openalex.org/W2025021478","https://openalex.org/W2026062398","https://openalex.org/W2033151532","https://openalex.org/W2057434770","https://openalex.org/W2064971934","https://openalex.org/W2079927753","https://openalex.org/W2082704080","https://openalex.org/W2086021638","https://openalex.org/W2088486634","https://openalex.org/W2092075920","https://openalex.org/W2108169091","https://openalex.org/W2117801354","https://openalex.org/W2133148918","https://openalex.org/W2134599124","https://openalex.org/W2137706757","https://openalex.org/W2141916112","https://openalex.org/W2148698435","https://openalex.org/W2150469424","https://openalex.org/W2157752701","https://openalex.org/W2167631877","https://openalex.org/W2237956683","https://openalex.org/W2278496954","https://openalex.org/W2588835098","https://openalex.org/W2604174992","https://openalex.org/W2779591098","https://openalex.org/W2794372577","https://openalex.org/W2889433641","https://openalex.org/W2895486342","https://openalex.org/W2950299756","https://openalex.org/W2950598813","https://openalex.org/W2950671516","https://openalex.org/W2963804890","https://openalex.org/W2982668857","https://openalex.org/W3092157588","https://openalex.org/W3108090056","https://openalex.org/W3146969154","https://openalex.org/W3148807116","https://openalex.org/W3159758719","https://openalex.org/W3202060848","https://openalex.org/W3210382439","https://openalex.org/W4301912454"],"related_works":["https://openalex.org/W1824963049","https://openalex.org/W1971424770","https://openalex.org/W2092985543","https://openalex.org/W2111842731","https://openalex.org/W2120483845","https://openalex.org/W2066467839","https://openalex.org/W2594299395","https://openalex.org/W2773587892","https://openalex.org/W2888432148","https://openalex.org/W2771541573"],"abstract_inverted_index":{"Genome-wide":[0],"association":[1],"studies":[2,73,86],"(GWASs)":[3],"are":[4,16],"often":[5],"confounded":[6],"by":[7],"population":[8,60],"stratification":[9],"and":[10,40,108,132],"structure.":[11],"Linear":[12],"mixed":[13,98],"models":[14,99],"(LMMs)":[15],"a":[17,36,44,58,125],"powerful":[18],"class":[19],"of":[20,57,65,78,117,127],"methods":[21,95,135],"for":[22,28,35,96],"uncovering":[23],"genetic":[24,37,46,103],"effects,":[25],"while":[26],"controlling":[27],"such":[29],"confounding.":[30],"LMMs":[31],"include":[32],"random":[33],"effects":[34],"similarity":[38,47,104],"matrix,":[39],"they":[41],"assume":[42],"that":[43],"true":[45],"matrix":[48,105],"is":[49,82,106,109],"known.":[50],"However,":[51],"uncertainty":[52],"about":[53],"the":[54,63,76,102,118],"phylogenetic":[55],"structure":[56],"study":[59],"may":[61,69],"degrade":[62],"quality":[64],"LMM":[66],"results.":[67],"This":[68],"happen":[70],"in":[71,74,85,100,130],"bacterial":[72],"which":[75,101],"number":[77],"samples":[79],"or":[80,84],"loci":[81],"small,":[83],"with":[87],"low-quality":[88],"genotyping.":[89],"In":[90],"this":[91],"study,":[92],"we":[93],"develop":[94],"linear":[97],"unknown":[107],"derived":[110],"from":[111],"Markov":[112],"chain":[113],"Monte":[114],"Carlo":[115],"estimates":[116],"phylogeny.":[119],"We":[120],"apply":[121],"our":[122,134],"model":[123],"to":[124],"GWAS":[126],"multidrug":[128],"resistance":[129],"tuberculosis,":[131],"illustrate":[133],"on":[136],"simulated":[137],"data.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}