Int. J. Mol. Sci. 2014, 15, 9670-9717; doi:10.3390/ijms15069670 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Review Computational and Experimental Approaches to Reveal the Effects of Single Nucleotide Polymorphisms with Respect to Disease Diagnostics Tugba G. Kucukkal 1,†, Ye Yang 2,†, Susan C. Chapman 3,*, Weiguo Cao 2,* and Emil Alexov 1,* 1 Department of Physics, Clemson University, Clemson, SC 29634, USA; E-Mail:
[email protected] 2 Department of Genetics and Biochemistry, Clemson University, 049 Life Sciences Facility, 190 Collins Street, Clemson, SC 29634, USA; E-Mail:
[email protected] 3 Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA † These authors contributed equally to this work. * Authors to whom correspondence should be addressed; E-Mails:
[email protected] (S.C.C.);
[email protected] (W.C.);
[email protected] (E.A.); Tel.: +1-864-656-5307 (E.A.); Fax: +1-864-656-0805 (E.A.). Received: 8 April 2014; in revised form: 15 May 2014 / Accepted: 16 May 2014 / Published: 30 May 2014 Abstract: DNA mutations are the cause of many human diseases and they are the reason for natural differences among individuals by affecting the structure, function, interactions, and other properties of DNA and expressed proteins. The ability to predict whether a given mutation is disease-causing or harmless is of great importance for the early detection of patients with a high risk of developing a particular disease and would pave the way for personalized medicine and diagnostics. Here we review existing methods and techniques to study and predict the effects of DNA mutations from three different perspectives: in silico, in vitro and in vivo.