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Mediation modeling and analysis forhigh-throughput omics data
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

There is a strong need for powerful unified statistical methods for discovering underlying genetic architecture of complex traits with the assistance of omics information. In this paper, two methods aiming to detect novel association between the human genome and complex traits using intermediate omics data are developed based on statistical mediation modeling. We demonstrate theoretically that given proper mediators, the proposed statistical mediation models have better power than genome-wide association studies (GWAS) to detect associations missed in standard GWAS that ignore the mediators. For each ofthe modeling methods in this paper, an empirical example is given, where the association between a SNP and BMI missed by standard GWAS can be discovered by mediation analysis.

Place, publisher, year, edition, pages
2015. , 17 p.
Keyword [en]
Mediation model, metabolite, SNP, BMI
National Category
Genetics
Identifiers
URN: urn:nbn:se:uu:diva-256318OAI: oai:DiVA.org:uu-256318DiVA: diva2:825012
External cooperation
Karolinska Institutet
Educational program
Master Programme in Statistics
Presentation
2015-06-04, F332, Ekonomikum (plan 3), KyrkogÄrdsg 10, Uppsala, 22:35 (English)
Supervisors
Examiners
Available from: 2015-06-23 Created: 2015-06-22 Last updated: 2015-06-23Bibliographically approved

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Zheng.Ning.Thesis(269 kB)189 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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