Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "13869"
#_source: array:26 [
"id" => "13869"
"slug" => "13869-understanding-the-population-structure-correction-regression"
"yearMonth" => "2022-07"
"year" => "2022"
"title" => "Understanding the Population Structure Correction Regression"
"description" => "MAI, T.T. et ALQUIER, P. (2022). Understanding the Population Structure Correction Regression. Dans: <i>4th International Conference on Statistics: Theory and Applications (ICSTA'22)</i>. Prague: Avestia Publishing. 
MAI, T.T. et ALQUIER, P. (2022). Understanding the Population Structure Correction Regression. Dans: "
"authors" => array:2 [
0 => array:3 [
"name" => "ALQUIER Pierre"
"bid" => "B00809923"
"slug" => "alquier-pierre"
]
1 => array:1 [
"name" => "MAI The Tien"
]
]
"ouvrage" => "4th International Conference on Statistics: Theory and Applications (ICSTA'22)"
"keywords" => array:5 [
0 => "GWAS"
1 => "population structure correction"
2 => "linear regression"
3 => "bias"
4 => "variance"
]
"updatedAt" => "2023-03-21 09:20:51"
"publicationUrl" => "https://doi.org/10.11159/icsta22.114"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Actes d'une conférence"
"en" => "Conference Proceedings"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the current leading GWAS approaches simply perform to test each genotype-phenotype association separately for each genetic variant. Curiously, the statistical property for using these approaches is not known when a joint model for the whole genetic variants is considered. Here we advance in GWAS in understanding the statistical properties of the “population structure correction” (PSC) approach, a standard univariate approach in GWAS. We further propose and analyse a correction to the PSC approach, termed as “corrected population correction” (CPC). Together with the theoretical results, numerical simulations show that CPC is always comparable or better than PSC, with a dramatic improvement in some special cases. - Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the "
"en" => "Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the current leading GWAS approaches simply perform to test each genotype-phenotype association separately for each genetic variant. Curiously, the statistical property for using these approaches is not known when a joint model for the whole genetic variants is considered. Here we advance in GWAS in understanding the statistical properties of the “population structure correction” (PSC) approach, a standard univariate approach in GWAS. We further propose and analyse a correction to the PSC approach, termed as “corrected population correction” (CPC). Together with the theoretical results, numerical simulations show that CPC is always comparable or better than PSC, with a dramatic improvement in some special cases. - Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-02T09:21:48.000Z"
"docTitle" => "Understanding the Population Structure Correction Regression"
"docSurtitle" => "Actes d'une conférence"
"authorNames" => "<a href="/cv/alquier-pierre">ALQUIER Pierre</a>, MAI The Tien"
"docDescription" => "<span class="document-property-authors">ALQUIER Pierre, MAI The Tien</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2022</span> <span class="document-property-authors">ALQUIER Pierre, MAI The Tien</span><br><span class="document "
"keywordList" => "<a href="#">GWAS</a>, <a href="#">population structure correction</a>, <a href="#">linear regression</a>, <a href="#">bias</a>, <a href="#">variance</a> <a href="#">GWAS</a>, <a href="#">population structure correction</a>, <a href="#">linear regression "
"docPreview" => "<b>Understanding the Population Structure Correction Regression</b><br><span>2022-07 | Actes d'une conférence </span> <b>Understanding the Population Structure Correction Regression</b><br><span>2022-07 | Actes d'une c "
"docType" => "research"
"publicationLink" => "<a href="https://doi.org/10.11159/icsta22.114" target="_blank">Understanding the Population Structure Correction Regression</a> <a href="https://doi.org/10.11159/icsta22.114" target="_blank">Understanding the Population Structur "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.969117
+"parent": null
}
