A Bayesian hierarchical model for improving measurement of 5mC and 5hmC levels: Toward revealing associations between phenotypes and methylation states-Reference-Cited by-同舟云学术

A Bayesian hierarchical model for improving measurement of 5mC and 5hmC levels: Toward revealing associations between phenotypes and methylation states

Published:2022-06-26 Issue:7 Volume:46 Page:446-462
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Jiang Lai¹^ORCID,Greenlaw Keelin¹,Ciampi Antonio²,Canty Angelo J.³,Gross Jeffrey⁴,Turecki Gustavo⁴^ORCID,Greenwood Celia M. T.¹²⁵⁶^ORCID

Affiliation:

1. Lady Davis Institute for Medical Research Jewish General Hospital Montréal Québec Canada

2. Department of Epidemiology, Biostatistics and Occupational Health McGill University Montréal Québec Canada

3. Department of Mathematics and Statistics McMaster University Hamilton Ontario Canada

4. Department of Psychiatry Douglas Institute, McGill University Montréal Québec Canada

5. Gerald Bronfman Department of Oncology McGill University Montréal Québec Canada

6. Department of Human Genetics McGill University Montréal Québec Canada

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22489

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