PMID- 29108424
OWN - NLM
STAT- MEDLINE
DCOM- 20190604
LR  - 20190604
IS  - 1752-8984 (Electronic)
IS  - 1479-1641 (Linking)
VI  - 15
IP  - 1
DP  - 2018 Jan
TI  - Correct microarray analysis approaches in 'Hsa-circRNA11783-2 in peripheral blood 
      is correlated with coronary artery disease and type 2 diabetes mellitus'.
PG  - 92-93
LID - 10.1177/1479164117739435 [doi]
AB  - We read with great interest the article by Li et al. The results are illuminating 
      for understanding the relationship among Hsa-circRNA11783-2, coronary artery 
      disease (CAD) and type 2 diabetes mellitus (T2DM). However, from our perspective, 
      the bioinformatics analyses need further context as the statistics for 
      differential fold changes in expression data are not explained fully. The authors 
      seem to use unadjusted p values for detecting differentially expressed circular 
      RNA (differentially expressed genes (DEGs)) between the control, CAD and T2DM 
      group. Due to the high false positives caused by a large number of probes and 
      multiple comparisons, it seems essential to analyse microarray data properly to 
      reach a reliable result by a statistical method. Only selecting circular RNA with 
      greater than two fold change with unadjusted p values < 0.05 in expression is not 
      reliable and suitable for high-level microarray analysis.
FAU - Li, Chenyu
AU  - Li C
AD  - Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, 
      China.
FAU - Zhao, Long
AU  - Zhao L
AD  - Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, 
      China.
FAU - Jiang, Wei
AU  - Jiang W
AD  - Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, 
      China.
FAU - Che, Lin
AU  - Che L
AD  - Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, 
      China.
FAU - Xu, Yan
AU  - Xu Y
AD  - Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, 
      China.
LA  - eng
PT  - Comment
PT  - Letter
DEP - 20171107
PL  - England
TA  - Diab Vasc Dis Res
JT  - Diabetes & vascular disease research
JID - 101234011
SB  - IM
CON - Diab Vasc Dis Res. 2017 Nov;14(6):510-515. PMID: 28777011
MH  - *Coronary Artery Disease
MH  - *Diabetes Mellitus, Type 2
MH  - Humans
MH  - Microarray Analysis
OTO - NOTNLM
OT  - Bioinformatics
OT  - circular RNA
OT  - microarray analysis
OT  - statistics
EDAT- 2017/11/08 06:00
MHDA- 2019/06/05 06:00
CRDT- 2017/11/08 06:00
PHST- 2017/11/08 06:00 [pubmed]
PHST- 2019/06/05 06:00 [medline]
PHST- 2017/11/08 06:00 [entrez]
AID - 10.1177/1479164117739435 [doi]
PST - ppublish
SO  - Diab Vasc Dis Res. 2018 Jan;15(1):92-93. doi: 10.1177/1479164117739435. Epub 2017 
      Nov 7.