Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies

We present a new method for testing association when data from both case-parents trios and unrelated controls are available. Our method combines test statistics for case-parents trio and unrelated case-control studies by adjusting for the correlation that arises when the same set of cases is used fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Joo, Jungnam, Tian, Xin, Zheng, Gang, Stylianou, Mario, Lin, Jing-Ping, Geller, Nancy L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367524/
https://www.ncbi.nlm.nih.gov/pubmed/18466525
_version_ 1782154312462368768
author Joo, Jungnam
Tian, Xin
Zheng, Gang
Stylianou, Mario
Lin, Jing-Ping
Geller, Nancy L
author_facet Joo, Jungnam
Tian, Xin
Zheng, Gang
Stylianou, Mario
Lin, Jing-Ping
Geller, Nancy L
author_sort Joo, Jungnam
collection PubMed
description We present a new method for testing association when data from both case-parents trios and unrelated controls are available. Our method combines test statistics for case-parents trio and unrelated case-control studies by adjusting for the correlation that arises when the same set of cases is used for both tests. We further consider several analytical approaches for two-stage studies on a large number of markers, including methods based on the joint analysis. The performance of the proposed approaches is examined by analyzing the simulated data provided by the Genetic Analysis Workshop 15.
format Text
id pubmed-2367524
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-23675242008-05-06 Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies Joo, Jungnam Tian, Xin Zheng, Gang Stylianou, Mario Lin, Jing-Ping Geller, Nancy L BMC Proc Proceedings We present a new method for testing association when data from both case-parents trios and unrelated controls are available. Our method combines test statistics for case-parents trio and unrelated case-control studies by adjusting for the correlation that arises when the same set of cases is used for both tests. We further consider several analytical approaches for two-stage studies on a large number of markers, including methods based on the joint analysis. The performance of the proposed approaches is examined by analyzing the simulated data provided by the Genetic Analysis Workshop 15. BioMed Central 2007-12-18 /pmc/articles/PMC2367524/ /pubmed/18466525 Text en Copyright © 2007 Joo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Joo, Jungnam
Tian, Xin
Zheng, Gang
Stylianou, Mario
Lin, Jing-Ping
Geller, Nancy L
Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title_full Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title_fullStr Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title_full_unstemmed Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title_short Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
title_sort joint analysis of case-parents trio and unrelated case-control designs in large scale association studies
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367524/
https://www.ncbi.nlm.nih.gov/pubmed/18466525
work_keys_str_mv AT joojungnam jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies
AT tianxin jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies
AT zhenggang jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies
AT stylianoumario jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies
AT linjingping jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies
AT gellernancyl jointanalysisofcaseparentstrioandunrelatedcasecontroldesignsinlargescaleassociationstudies

Ejemplares similares