Results 321 to 330 of about 779,387 (379)

Applying blood-derived epigenetic algorithms to saliva: cross-tissue similarity of DNA-methylation indices of aging, physiology, and cognition. [PDF]

Clin Epigenetics
Zarandooz S, Raffington L.
europepmc   +1 more source

A Case of Prader‐Willi Syndrome With a Deletion Including MAGEL2, NDN, and MKRN3, but Excluding SNRPN and SNORD116

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Prader‐Willi syndrome (PWS) is a neurodevelopmental disorder typically caused by large deletions or imprinting defects on chromosome 15q11.2, encompassing multiple genes. While the contribution of individual genes to the PWS phenotype remains unclear, previous studies suggested that isolated deletions of MAGEL2, NDN, and MKRN3, excluding the ...
Jannis Buecking, Yu An, Weimin Bi, Katrin Hinderhofer, Susanne Theiß, Anne Slavotinek, Christian P. Schaaf   +6 more
wiley   +1 more source

Genome-wide methylome modeling via generative AI incorporating long- and short-range interactions. [PDF]

Sci Adv
Yan F, G Telonis A, Yang Q, Jiang L, E Garrett-Bakelman F, Sekeres MA, Santini V, Ceccarelli M, Goel N, Garcia-Martinez L, Morey L, Figueroa ME, Guo Y.   +12 more
europepmc   +1 more source

Growth Charts for Children With Beckwith–Wiedemann Spectrum

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Beckwith–Wiedemann spectrum (BWSp) is an overgrowth disorder caused by (epi)genetic alterations in chromosome 11p15. This study aimed to develop BWSp‐specific growth charts and explore genotype/phenotype correlations with respect to growth. Heights, weights, and head circumferences were retrospectively collected from 581 individuals with BWSp ...
Saskia M. Maas, Peter Lauffer, Guido Cocchi, Madison DeMarchis, Andrew M. George, Alessandro Mussa, Francesco Pellegrino, Alexander M. J. Spaans, Emma C. van den Brink, Jan M. Wit, Leonie A. Menke, Jennifer M. Kalish   +11 more
wiley   +1 more source

Regulation of nc886 (vtRNA2-1) RNAs is associated with cardiometabolic risk factors and diseases. [PDF]

Clin Epigenetics
Rajić S, Delerue T, Ronkainen J, Zhang R, Ciantar J, Kostiniuk D, Mishra PP, Lyytikäinen LP, Mononen N, Kananen L, Peters A, Winkelmann J, Kleber ME, Lorkowski S, Kähönen M, Lehtimäki T, Raitakari O, Waldenberger M, Gieger C, März W, Harville EW, Sebert S, Marttila S, Raitoharju E.   +23 more
europepmc   +1 more source

Role of DNA Methylation in the Pathogenesis of Skin Disorders: Mechanisms, Inhibitors of Methylation-Related Enzyme, and Molecular Docking Studies. [PDF]

Biomed Res Int
Rani A, Kaur G, Kumar R, Sachan RSK, Kumar M, Sable H, Al Tawaha ARM, Malik S, Karnwal A, Malik T.   +9 more
europepmc   +1 more source

DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations. [PDF]

BMC Bioinformatics
Yan Y, Chai X, Liu J, Wang S, Li W, Huang T.   +5 more
europepmc   +1 more source

Detecting plasma SHOX2, HOXA9, SEPTIN9, and RASSF1A methylation and circulating cancer cells for cholangiocarcinoma clinical diagnosis and monitoring. [PDF]

World J Gastrointest Oncol
Yu J, Liu QC, Lu SY, Wang S, Zhang H.
europepmc   +1 more source

TAS2R38 gene methylation is associated with syndrome Coronavirus 2 (SARS-CoV-2) infection and clinical symptoms. [PDF]

Sci Rep
Melis M, Loi E, Aru G, Sollai G, Mastinu M, Naciri LC, De Riu G, Vaira LA, Costanzo G, Firinu D, Cabras P, Caddori A, Crnjar R, Zavattari P, Tomassini Barbarossa I.   +14 more
europepmc   +1 more source

Role of m5C methylation in digestive system tumors (Review). [PDF]

Mol Med Rep
Zhang L, Yuan J, Yao S, Wen G, An J, Jin H, Tuo B.   +6 more
europepmc   +1 more source