Leonard C Schalkwyk
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Explore the profile of Leonard C Schalkwyk including associated specialties, affiliations and a list of published articles.
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89
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Recent Articles
1.
Hannon E, Dempster E, Davies J, Chioza B, Blake G, Burrage J, et al.
BMC Biol
. 2024 Jan;
22(1):17.
PMID: 38273288
Background: Due to interindividual variation in the cellular composition of the human cortex, it is essential that covariates that capture these differences are included in epigenome-wide association studies using bulk...
2.
Wang Y, Gorrie-Stone T, Grant O, Andrayas A, Zhai X, Mcdonald-Maier K, et al.
Bioinformatics
. 2022 Jun;
38(16):3950-3957.
PMID: 35771651
Motivation: Data normalization is an essential step to reduce technical variation within and between arrays. Due to the different karyotypes and the effects of X chromosome inactivation, females and males...
3.
Flynn R, Washer S, Jeffries A, Andrayas A, Shireby G, Kumari M, et al.
Hum Mol Genet
. 2022 May;
31(18):3181-3190.
PMID: 35567415
Most epigenetic epidemiology to date has utilized microarrays to identify positions in the genome where variation in DNA methylation is associated with environmental exposures or disease. However, these profile less...
4.
Min J, Hemani G, Hannon E, Dekkers K, Castillo-Fernandez J, Luijk R, et al.
Nat Genet
. 2021 Sep;
53(9):1311-1321.
PMID: 34493871
Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. In the present study, we describe results of DNAm quantitative trait locus...
5.
Wang Y, Hannon E, Grant O, Gorrie-Stone T, Kumari M, Mill J, et al.
BMC Genomics
. 2021 Jun;
22(1):484.
PMID: 34182928
Background: Sex is an important covariate of epigenome-wide association studies due to its strong influence on DNA methylation patterns across numerous genomic positions. Nevertheless, many samples on the Gene Expression...
6.
Shireby G, Davies J, Francis P, Burrage J, Walker E, Neilson G, et al.
Brain
. 2020 Dec;
143(12):3763-3775.
PMID: 33300551
Human DNA methylation data have been used to develop biomarkers of ageing, referred to as 'epigenetic clocks', which have been widely used to identify differences between chronological age and biological...
7.
Asenius F, Gorrie-Stone T, Brew A, Panchbhaya Y, Williamson E, Schalkwyk L, et al.
PLoS Genet
. 2020 Oct;
16(10):e1009035.
PMID: 33048947
Epidemiological research suggests that paternal obesity may increase the risk of fathering small for gestational age offspring. Studies in non-human mammals indicate that such associations could be mediated by DNA...
8.
El Khoury L, Gorrie-Stone T, Smart M, Hughes A, Bao Y, Andrayas A, et al.
Genome Biol
. 2019 Dec;
20(1):283.
PMID: 31847916
Background: The Horvath epigenetic clock is widely used. It predicts age quite well from 353 CpG sites in the DNA methylation profile in unknown samples and has been used to...
9.
Bell C, Lowe R, Adams P, Baccarelli A, Beck S, Bell J, et al.
Genome Biol
. 2019 Nov;
20(1):249.
PMID: 31767039
Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure subject age. These clocks are acknowledged as a highly accurate molecular correlate of chronological age in humans...
10.
Saffari A, Arno M, Nasser E, Ronald A, Wong C, Schalkwyk L, et al.
Mol Autism
. 2019 Nov;
10:38.
PMID: 31719968
Background: A gap exists in our mechanistic understanding of how genetic and environmental risk factors converge at the molecular level to result in the emergence of autism symptoms. We compared...