The Snipper 3

app suite





Age prediction with DNA methylation: blood, 7 CpGs, EpiTYPER (2-104 years)


1) Input the methylation values for the seven CpGs shown on the table below. Blanks will be ignored:

GeneInternal codeCpG ID GRCh38 chromosome position
ELOVL2CR_1_CpG_9cg21572722chr6:11044661
ASPACR_2_CpG_3cg02228185chr17:3476273
PDE4CCR_4_CpG_27.28.29nonechr19:18233127/31/33
FHL2CR_12_1_CpG_3cg06639320chr2:105399282
CCDC102BCR_13_CpG_2cg19283806chr18:68722183
C1orf132CR_21_CpG_11nonechr1:207823715
not associatedCR_23_CpG_3cg07082267chr16:85395429


Name CR_1_CpG_9 CR_2_CpG_3 CR_4_CpG_27.28.29 CR_12_1_CpG_3 CR_13_CpG_2 CR_21_CpG_11 CR_23_CpG_3
Values

2) Choose algorithm:

QRNN (quantile regression neural network).

QRSVM (quantile regression support vector machine).


        

You can also download several prediction examples, including twin samples.






Last revision: February 2024

Agradecimientos: Este proyecto ha sido financiado por el Ministerio de Economía y Competitividad (referencia: BIO2013-42188-R), y a su vez cofinanciado con Fondos FEDER.
Acknowledgements: This project was supported by the Ministry of Economy and Competitiveness, Spain (reference: BIO2013-42188-R), which was in turn co-financed with ERDF funds.