Xiong1: A flexible estimating equations approach for mapping function-valued traits - circadian mouse behavioral data in C57BL/6J and 129S1/SvImJ backcross (2011)

Xiong H, Goulding EH, Carlson EJ, Tecott LH, McCulloch CE, Sen S. A flexible estimating equations approach for mapping function-valued traits. Genetics. 2011 Sep;189(1):305-16. Epub 2011 Jul 29.   PubMed 21705752     FullText


       
Xiong1 downloads
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Investigators H Xiong
Gary A Churchill       The Jackson Laboratory,  Bar Harbor, ME
Participants Goulding EH, Carlson EJ, Tecott LH, McCulloch CE, Sen S
ContactGary A Churchill     gary.churchill@jax.org
Affiliated CenterQTL Archive
AcknowledgementsThis research was supported by grants from the National Institutes of Health (GM078338, GM074244 and DK072187).
Project type QTL Archive data set
MPD identifiersXiong1     MPD:299
Data changelog No updates/corrections.       Initial release date: 11/2011.
In genetic studies, many genetic function-valued traits have temporal or spatial structures. The current methods for mapping these traits require specific parameters and they are difficult to get or impractical in many scenarios. To solve the problem, the authors proposed a general functional regression approach based on estimating equations that is robust. It provides a good compromise between model simplicity, statistical efficiency, and computational speed. They tested the new method in circadian mouse behavioral data in 89 N1 backcross mice between C57BL/6J and 129S1/SvImJ strains. For detailed protocols see Xiong et al 2011.


QTL data set parameters:
Progenitor strains 129S1/SvImJ     C57BL/6J    
Cross direction notation129S1 x (129S1 x B6)
Cross typeBackcross
Population size 0 ♀     89 ♂
Age9-34wks


Measured phenotypes:       To access these data use the QTL Data Downloads button at bottom of page.



Project / data set:   Xiong1     a.k.a. Xiong_2011
Excel file:   Data_Description_129xB6_BC_Xiong2011.xlsx
CSV file:   Xiong2011_129xB6_BC_B37_Data.csv
Readme / text file:   readme_Xiong2011.txt
QC plots, figures, etc.:   QCReport_Xiong2011.pdf