Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis

Cell Metabolism

Volumn 25, Issue 2, 2017, Pages 248-261

  von Scheidt, Moritz ^a   Zhao, Yuqi ^b   Kurt, Zeyneb ^b   Pan, Calvin ^c   Zeng, Lingyao ^a   Yang, Xia ^b   Schunkert, Heribert ^a,d   Lusis, Aldons J ^c  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d DZHK GERMAN CENTRE FOR CARDIOVASCULAR RESEARCH   (Germany)

Author keywords

CAD risk factors; common and complex disease; diabetes; engineered mouse models; genome wide association studies; lesions analysis; lipoprotein metabolism; mouse atherosclerosis genes; passenger genes; pathway modeling

Indexed keywords

TRIMETHYLAMINE OXIDE;

AIR POLLUTION; ATHEROSCLEROSIS; BACTEREMIA; CARDIOVASCULAR RISK; CORONARY ARTERY DISEASE; DISTRESS SYNDROME; DYSLIPIDEMIA; EFFECT SIZE; GENE IDENTIFICATION; GENETIC VARIATION; GENETICALLY ENGINEERED MOUSE STRAIN; GENOME-WIDE ASSOCIATION STUDY; HUMAN; HUMAN GENOME; HYPERTENSION; INSULIN DEPENDENT DIABETES MELLITUS; KIDNEY FAILURE; METABOLIC SYNDROME X; MOUSE MODEL; NON INSULIN DEPENDENT DIABETES MELLITUS; NONHUMAN; PHENOTYPE; PHYSICAL INACTIVITY; PRIORITY JOURNAL; REVIEW; SEX DIFFERENCE; SMOKING; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; THROMBOSIS; UNDUE BACTEREMIA; ANIMAL; DISEASE MODEL; GENETICS; MOUSE; PATHOLOGY; RISK FACTOR; SIGNAL TRANSDUCTION;

ANIMALS; ATHEROSCLEROSIS; DISEASE MODELS, ANIMAL; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MICE; RISK FACTORS; SIGNAL TRANSDUCTION;

EID: 85007449433     PISSN: 15504131     EISSN: 19327420     Source Type: Journal    
DOI: 10.1016/j.cmet.2016.11.001     Document Type: Review

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