|
1
|
Semsarian C, Ingles J, Maron MS and Maron
BJ: New perspectives on the prevalence of hypertrophic
cardiomyopathy. J Am Coll Cardiol. 65:1249–1254. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Marian AJ and Braunwald E: Hypertrophic
cardiomyopathy: Genetics, pathogenesis, clinical Manifestations,
diagnosis, and therapy. Circ Res. 121:749–770. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Geske JB, Ommen SR and Gersh BJ:
Hypertrophic cardiomyopathy: Clinical update. JACC Heart Fail.
6:364–375. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Maron BJ, Maron MS, Maron BA and Loscalzo
J: Moving beyond the sarcomere to explain heterogeneity in
hypertrophic cardiomyopathy: JACC review topic of the week. J Am
Coll Cardiol. 73:1978–1986. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Sallam T, Sandhu J and Tontonoz P: Long
noncoding RNA discovery in cardiovascular disease: Decoding form to
function. Circ Res. 122:155–166. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Lucas T, Bonauer A and Dimmeler S: RNA
therapeutics in cardiovascular disease. Circ Res. 123:205–220.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Sun J and Wang C: Long non-coding RNAs in
cardiac hypertrophy. Heart Fail Rev. Oct 29–2019.(Epub ahead of
print). PubMed/NCBI
|
|
8
|
Yang W, Li Y, He F and Wu H: Microarray
profiling of long Non-coding RNA (lncRNA) associated with
hypertrophic cardiomyopathy. BMC Cardiovasc Disord. 15:622015.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Shah RV, Rong J, Larson MG, Yeri A,
Ziegler O, Tanriverdi K, Murthy V, Liu X, Xiao C, Pico AR, et al:
Associations of circulating extracellular RNAs with myocardial
remodeling and heart failure. JAMA Cardiol. 3:871–876. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Langfelder P and Horvath S: WGCNA: An R
package for weighted correlation network analysis. BMC
Bioinformatics. 9:5592008. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Zhang J, Nie Q, Si C, Wang C, Chen Y, Sun
W, Pan L, Guo J, Kong J, Cui Y, et al: Weighted gene co-expression
network analysis for RNA-sequencing data of the varicose veins
transcriptome. Front Physiol. 10:2782019. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Elliott PM, Anastasakis A, Borger MA,
Borggrefe M, Cecchi F, Charron P, Hagege AA, Lafont A, Limongelli
G, Mahrholdt H, et al: 2014 ESC guidelines on diagnosis and
management of hypertrophic cardiomyopathy: The task force for the
diagnosis and management of hypertrophic cardiomyopathy of the
european society of cardiology (ESC). Eur Heart J. 35:2733–2779.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Ravasz E, Somera AL, Mongru DA, Oltvai ZN
and Barabási AL: Hierarchical organization of modularity in
metabolic networks. Science. 297:1551–1555. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Langfelder P, Zhang B and Horvath S:
Defining clusters from a hierarchical cluster tree: The dynamic
tree cut package for R. Bioinformatics. 24:719–720. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Fuller TF, Ghazalpour A, Aten JE, Drake
TA, Lusis AJ and Horvath S: Weighted gene coexpression network
analysis strategies applied to mouse weight. Mamm Genome.
18:463–472. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Bindea G, Mlecnik B, Hackl H, Charoentong
P, Tosolini M, Kirilovsky A, Fridman WH, Pages F, Trajanoski Z and
Galon J: ClueGO: A Cytoscape plug-in to decipher functionally
grouped gene ontology and pathway annotation networks.
Bioinformatics. 25:1091–1093. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Horvath S and Dong J: Geometric
interpretation of gene coexpression network analysis. PLoS Comput
Biol. 4:e10001172008. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Ritchie ME, Phipson B, Wu D, Hu YF, Law
CW, Shi W and Smyth GK: Limma powers differential expression
analyses for RNA-sequencing and microarray studies. Nucleic Acids
Res. 43:e472015. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Burns C, Bagnall RD, Lam L, Semsarian C
and Ingles J: Multiple gene variants in hypertrophic cardiomyopathy
in the era of Next-generation sequencing. Circ Cardiovasc Genet.
10:e0016662017. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Han P, Li W, Lin CH, Yang J, Shang C,
Nuernberg ST, Jin KK, Xu W, Lin CY, Lin CJ, et al: A long noncoding
RNA protects the heart from pathological hypertrophy. Nature.
514:102–106. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Gomez J, Lorca R, Reguero JR, Martin M,
Moris C, Alonso B, Iglesias S, Diaz-Molina B, Avanzas P and Coto E:
Genetic variation at the long noncoding RNA H19 gene is associated
with the risk of hypertrophic cardiomyopathy. Epigenomics.
10:865–873. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Khatri P, Sirota M and Butte AJ: Ten years
of pathway analysis: current approaches and outstanding challenges.
PLoS Comput Biol. 8:e10023752012. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Jin SH, Zhou RH, Guan XY, Zhou JG and Liu
JG: Identification of novel key lncRNAs involved in periodontitis
by weighted gene co-expression network analysis. J Periodontal Res.
55:96–106. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Gu HY, Yang M, Guo J, Zhang C, Lin LL, Liu
Y and Wei RX: Identification of the biomarkers and pathological
process of osteoarthritis: Weighted gene co-expression network
analysis. Front Physiol. 10:2752019. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Yin L, Wang Y, Lin Y, Yu G and Xia Q:
Explorative analysis of the gene expression profile during liver
regeneration of mouse: A microarray-based study. Artif Cells
Nanomed Biotechnol. 47:1113–1121. 2019. View Article : Google Scholar : PubMed/NCBI
|
