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[{"key": "dc.contributor.advisor", "value": "Tikka, Santtu", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "V\u00e4\u00e4n\u00e4nen, Mikko", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-11-28T10:40:11Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-11-28T10:40:11Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/92112", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Genominlaajuisilla assosiaatiokartoituksilla (genome-wide association studies, GWAS) tutkitaan assosiaatioita geno- ja fenotyyppien v\u00e4lill\u00e4 genominlaajuisesti tilastollisin menetelmin. GWAS-tutkimusten tuloksille on monia sovelluskohteita esimerkiksi l\u00e4\u00e4kekehityksess\u00e4, periytyvyyden tutkimisessa ja geneettisten terveysriskien arvioimisessa. GWAS on tutkimusalana kuitenkin nuori ja kehittyy nopeasti, sill\u00e4 vasta 2000-luvun aikana merkitt\u00e4v\u00e4sti kehittyneet DNA:n luentamenetelm\u00e4t ovat mahdollistaneet riitt\u00e4v\u00e4n suuret tutkimusaineistot assosiaatioiden tutkimiselle genominlaajuisesti.\n\nYksil\u00f6iden v\u00e4listen sukulaisuussuhteiden on havaittu v\u00e4\u00e4rist\u00e4v\u00e4n assosiaatiotestien tuloksia GWAS-tutkimuksissa, mink\u00e4 vuoksi viime vuosina on pyritty kehitt\u00e4m\u00e4\u00e4n toimivia menetelmi\u00e4 v\u00e4\u00e4ristymien korjaamiseksi. T\u00e4ss\u00e4 tutkielmassa tutkitaan, miten hyvin lineaarinen sekamalli (LMM), lineaarinen regressiomalli, jossa k\u00e4ytet\u00e4\u00e4n genomitiedoista muodostettuja p\u00e4\u00e4komponentteja kovariaatteina (LMP) ja lineaarinen regressiomalli (LM) huomioivat sukulaisuussuhteita assosiaatiotesteiss\u00e4. Menetelmien toimivuutta arvioidaan sill\u00e4, kuinka v\u00e4h\u00e4n kukin menetelm\u00e4 tuottaa tyypin 1 ja 2 virheit\u00e4. Menetelmien tuottamien tyypin 1 ja 2 virheiden m\u00e4\u00e4ri\u00e4 arvioitiin soveltamalla menetelmi\u00e4 simuloituihin aineistoihin.\n\nTutkielman tulosten mukaan LMM- ja LMP-menetelm\u00e4t korjaavat sukulaisuussuhteiden aiheuttamia tyypin 1 ja 2 virheit\u00e4 hyvin verrattuna LM-menetelm\u00e4\u00e4n. LMM ei tuottanut simuloinnissa yht\u00e4\u00e4n tyypin 1 virhett\u00e4 ja huomattavasti v\u00e4hemm\u00e4n tyypin 2 virheit\u00e4 kuin LM. Hyvin valitulla kovariaatteina k\u00e4ytett\u00e4vien p\u00e4\u00e4komponenttien m\u00e4\u00e4r\u00e4ll\u00e4 LMP oli LMM-menetelm\u00e4n tasoa tyypin 1 ja 2 virheiden m\u00e4\u00e4r\u00e4ll\u00e4 mitattuna.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-11-28T10:40:11Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-11-28T10:40:11Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "48", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "GWAS", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "sekamalli", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "regressiomalli", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "p\u00e4\u00e4komponentti", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "SNP", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tyypin 1 virhe", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tyypin 2 virhe", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Sukulaisuussuhteiden vaikutukset tyypin 1 ja 2 virheisiin ja niiden minimointi genominlaajuisissa assosiaatiokartoituksissa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202311288120", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Matemaattis-luonnontieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Matematiikan ja tilastotieteen laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Mathematics and Statistics", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tilastotiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Statistics", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "4043", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "simulointi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tilastomenetelm\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tilastotiede", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "DNA", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "matematiikka", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "regressioanalyysi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "perinn\u00f6llisyystiede", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "perim\u00e4", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "genotyyppi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "fenotyyppi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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