1. Update the map of data set with Build37 Cox genetic map (B37) and save the new file as "Wergedal2006_NZBxRF_B37_Data.csv". This file is ready to be read into Rqtl; 2. Generate a description file of the project, it includes the general information, definitions of the phenotypes, description of the genotypes and information of the missing markers; 3. For the genotypes of this cross: (cM=centimorgan, bp=basepair) (1) This cross only has 19 autosomes; (2) Marker "D3Mit51" and "D4Mit26" miss bp positions in both Cox map and MGI. Primer sequences found in MGI, and their locations identified using primer-BLAST in NCBI followed by UCSC In-Silico PCR (this type of markers is highlighted with lime color in description file); (3) Marker "D3Mit19" and "D11Mit126" miss bp positions in both Cox map and MGI. Primer sequences found in MGI, but their locations don't match the result from primer-BLAST in NCBI. We could not identify the B37 bp position of this marker currently (this type of markers is highlighted with rose color in description file); (4) Marker "D12Nds2" is unmapped in Cox genetic map. Its bp position assigned based on MGI, then convert them into cM through Map Converter tool (this type of markers is highlighted with light yellow color in description file); (5) Marker "D1Mit111" and "D11Mit36" miss bp positions in Cox genetic map, assign the positions from current MGI database. This type of markers are highlighted with gold color and please see description file for details; 4. Don't find any problems in phenotypes of the cross; 5. Except the "csv" file mentioned above, I also saved the description file, original data, data with B37 map, data process and list of missing markers together as a big excel file ("Data_Description_NZBxRF_Wergedal2006.xlsx") (1st curating work is finished on 6/22/2009, files are updated at 7/7/2009, 2/25/2011). 6. Add a new related publication to description file and project entry in QTL archive on 9/27/2011; Ackert-Bicknell CL, Karasik D, Li Q, Smith RV, Hsu YH, Churchill GA, Paigen BJ, Tsaih SW. Mouse BMD quantitative trait loci show improved concordance with human genome-wide association loci when recalculated on a new, common mouse genetic map. J Bone Miner Res. 2010 Aug;25(8):1808-20. 7. Information were updated on 5/25/2012: Change the name of the map (from "Shifman" to "Cox" map) in description and readme file, add a map reference in description file.