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Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder

 & Brenda W. J. H. Penninx AuthorsSearch for Karolina A. Aberg in:Nature Research journals • PubMed • Google Scholar Search for Andrey A. Shabalin in:Nature Research journals • PubMed • Google Scholar ... (non-related) from Jansen Research and Boehringer Ingelheim. The remaining authors declare that they have no conflict of interest. Corresponding author Correspondence to Karolina A. Aberg. Electronic

Evaluation of Methyl-Binding Domain Based Enrichment Approaches Revisited

Methyl-binding domain (MBD) enrichment followed by deep sequencing (MBD-seq), is a robust and cost efficient approach for methylome-wide association studies (MWAS). MBD-seq has been demonstrated to be capable of identifying differentially methylated regions, detecting previously reported robust associations and producing findings that replicate with other technologies such as...

Estimation of CpG coverage in whole methylome next-generation sequencing studies

Y Xie 0 Karolina A Aberg 0 0 Center for Biomarker Research and Personalized Medicine, School of Pharmacy, Virginia Commonwealth University , 1112 East Clay Street, P.O. Box 980533, Richmond, VA 23298

A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects

The central importance of epigenetics to the aging process is increasingly being recognized. Here we perform a methylome-wide association study (MWAS) of aging in whole blood DNA from 718 individuals, aged 25–92 years (mean = 55). We sequenced the methyl-CpG-enriched genomic DNA fraction, averaging 67.3 million reads per subject, to obtain methylation measurements for the ∼27...

MethylPCA: a toolkit to control for confounders in methylome-wide association studies

Background In methylome-wide association studies (MWAS) there are many possible differences between cases and controls (e.g. related to life style, diet, and medication use) that may affect the methylome and produce false positive findings. An effective approach to control for these confounders is to first capture the major sources of variation in the methylation data and then...