Investigating the prediction of CpG methylation levels from SNP genotype data to help elucidate relationships between methylation, gene expression and complex traits-Reference-Cited by-同舟云学术

Investigating the prediction of CpG methylation levels from SNP genotype data to help elucidate relationships between methylation, gene expression and complex traits

Published:2022-08-05 Issue:8 Volume:46 Page:629-643
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Fryett James J.¹,Morris Andrew P.²,Cordell Heather J.¹^ORCID

Affiliation:

1. Population Health Sciences Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne UK

2. Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research University of Manchester Manchester UK

Funder

Biotechnology and Biological Sciences Research Council

Versus Arthritis

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22496

Reference61 articles.

1. Methylation QTLs Are Associated with Coordinated Changes in Transcription Factor Binding, Histone Modifications, and Gene Expression Levels

2. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

3. Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population

4. Prediction of methylated CpGs in DNA sequences using a support vector machine

5. Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Elucidating the Epigenetic Landscape of Type 2 Diabetes: A Multi-Omics Analysis Revealing Novel CpG Sites and Their Association with Cardiometabolic Traits;2024-05-21