ORA Thesis: "Extensions of the case-control design in genome-wide association studies" - uuid:89e057e5-d30f-4125-b210-14d1f2aa37c1

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http://ora.ox.ac.uk/objects/ora:6493

Reference: Charalambos Loizides, (2012). Extensions of the case-control design in genome-wide association studies. DPhil. University of Oxford.

Citable link to this page: http://ora.ox.ac.uk/objects/uuid:89e057e5-d30f-4125-b210-14d1f2aa37c1
 
Title: Extensions of the case-control design in genome-wide association studies

Abstract:

The case-control design is one of the most commonly used designs in genome- wide asociation studies. When we increase the sample size of either the controls or, more importantly, the cases, the power of whatever test we use will certainly increase. However increasing the sample size, means that addi- tional individuals need to be genotyped and this implies extra financial costs. However, nowadays with the emergence of genetic studies, a large number of genetic data are available at low or no extra cost. Even though those data may not be completely relevant to the current study, they can still be used to increase the probability to identify true associations. Furthermore, additional information, non-necessarily genetic, can also be used to improve the power of a method.

In this thesis we extend the case-control design in order to take ad- vantage of such types of additional data and/or information. We discuss three designs; the case-cohort-control, the kin-cohort and the super-case– case–control–super-control designs. For each of these, we present methods that are adjusted or modified versions of standard case-control methods but we also propose novel ones developed with those extended designs in mind. Ultimately, we describe how those methods can be used in order to increase the power of association tests, especially compared to similar methods of the case-control design.


Digital Origin:Born digital
Type of Award:DPhil
Level of Award:Doctoral
Awarding Institution: University of Oxford
About The Authors
institutionUniversity of Oxford
facultyMathematical,Physical & Life Sciences Division
facultyMathematical,Physical & Life Sciences Division - Statistics
oxfordCollegeSt Hugh's College
 
Contributors
Prof Chris Holmes More by this contributor
RoleSupervisor
 
Bibliographic Details
Issue Date: 2012
Copyright Date: 2012
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Urn: uuid:89e057e5-d30f-4125-b210-14d1f2aa37c1
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Member of collection : ora:thesis
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Copyright Holder: Charalambos Loizides
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