PMID- 22819342
OWN - NLM
STAT- MEDLINE
DCOM- 20130419
LR  - 20220316
IS  - 1590-3729 (Electronic)
IS  - 0939-4753 (Print)
IS  - 0939-4753 (Linking)
VI  - 22
IP  - 11
DP  - 2012 Nov
TI  - Genetic prediction of common diseases. Still no help for the clinical 
      diabetologist!
PG  - 929-36
LID - S0939-4753(12)00104-4 [pii]
LID - 10.1016/j.numecd.2012.04.010 [doi]
AB  - Genome-wide association studies (GWAS) have identified several loci associated 
      with many common, multifactorial diseases which have been recently used to market 
      genetic testing directly to the consumers. We here addressed the clinical utility 
      of such GWAS-derived genetic information in predicting type 2 diabetes mellitus 
      (T2DM) and coronary artery disease (CAD) in diabetic patients. In addition, the 
      development of new statistical approaches, novel technologies of genome 
      sequencing and ethical, legal and social aspects related to genetic testing have 
      been also addressed. Available data clearly show that, similarly to what reported 
      for most common diseases, genetic testing offered today by commercial companies 
      cannot be used as predicting tools for T2DM and CAD. Further studies taking into 
      account the complex interaction between genes as well as between genetic and 
      non-genetic factors, including age, obesity and glycemic control which seem to 
      modify genetic effects on the risk of T2DM and CAD, might mitigate such negative 
      conclusions. Also, addressing the role of relatively rare variants by next 
      generation sequencing may help identify novel and strong genetic markers with an 
      important role in genetic prediction. Finally, statistical tools concentrated on 
      reclassifying patients might be a useful application of genetic information for 
      predicting many common diseases. By now, prediction of such diseases, including 
      those of interest for the clinical diabetologist, have to be pursued by using 
      traditional clinical markers which perform well and are not costly.
CI  - Copyright (c) 2012 Elsevier B.V. All rights reserved.
FAU - Prudente, S
AU  - Prudente S
AD  - IRCCS Casa Sollievo della Sofferenza, Mendel Laboratory, San Giovanni Rotondo, 
      Italy.
FAU - Dallapiccola, B
AU  - Dallapiccola B
FAU - Pellegrini, F
AU  - Pellegrini F
FAU - Doria, A
AU  - Doria A
FAU - Trischitta, V
AU  - Trischitta V
LA  - eng
GR  - R01 HL073168/HL/NHLBI NIH HHS/United States
GR  - HL073168/HL/NHLBI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20120721
PL  - Netherlands
TA  - Nutr Metab Cardiovasc Dis
JT  - Nutrition, metabolism, and cardiovascular diseases : NMCD
JID - 9111474
RN  - 0 (Genetic Markers)
SB  - IM
MH  - Coronary Artery Disease/*genetics
MH  - Diabetes Mellitus, Type 2/*genetics
MH  - Gene Frequency
MH  - Genetic Counseling
MH  - Genetic Loci
MH  - Genetic Markers
MH  - *Genetic Predisposition to Disease
MH  - Genetic Testing
MH  - Genome-Wide Association Study/*methods
MH  - Humans
MH  - Models, Genetic
MH  - Obesity/genetics
MH  - Polymorphism, Single Nucleotide
MH  - Risk Factors
PMC - PMC3729722
MID - NIHMS491313
COIS- Conflict of interest The authors declare no conflict of interest.
EDAT- 2012/07/24 06:00
MHDA- 2013/04/23 06:00
PMCR- 2013/11/01
CRDT- 2012/07/24 06:00
PHST- 2012/01/17 00:00 [received]
PHST- 2012/03/26 00:00 [revised]
PHST- 2012/04/23 00:00 [accepted]
PHST- 2012/07/24 06:00 [entrez]
PHST- 2012/07/24 06:00 [pubmed]
PHST- 2013/04/23 06:00 [medline]
PHST- 2013/11/01 00:00 [pmc-release]
AID - S0939-4753(12)00104-4 [pii]
AID - 10.1016/j.numecd.2012.04.010 [doi]
PST - ppublish
SO  - Nutr Metab Cardiovasc Dis. 2012 Nov;22(11):929-36. doi: 
      10.1016/j.numecd.2012.04.010. Epub 2012 Jul 21.