<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Manace, Leslie Cole</style></author><author><style face="normal" font="default" size="100%">Babyatsky, Mark Warren</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Putting genome analysis to good use: Lessons from C-reactive protein and cardiovascular disease</style></title><secondary-title><style face="normal" font="default" size="100%">Cleveland Clinic Journal of Medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012-03-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">182-191</style></pages><doi><style  face="normal" font="default" size="100%">10.3949/ccjm.79a.09169</style></doi><volume><style face="normal" font="default" size="100%">79</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><abstract><style  face="normal" font="default" size="100%">New methods of studying the human genome offer novel ways to examine the relationship between biomarkers and common, chronic human diseases. As an example, we will review a large genomics study (Elliott et al, JAMA 2009; 302:37–48) that concluded that C-reactive protein (CRP) is likely not a cause of coronary heart disease, although it is a marker for it.</style></abstract></record></records></xml>