JEM: A joint test to estimate the effect of multiple genetic variants on DNA methylation-Reference-Cited by-同舟云学术

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JEM: A joint test to estimate the effect of multiple genetic variants on DNA methylation

Published:2020-10-10 Issue:3 Volume:45 Page:280-292
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Sarnowski Chloé¹^ORCID,Huan Tianxiao²³,Jain Deepti⁴,Liu Chunyu¹²³,Yao Chen²³,Joehanes Roby²³⁵,Levy Daniel²³,Dupuis Josée¹

Affiliation:

1. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA

2. Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study Framingham Massachusetts USA

3. The Population Sciences Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda Maryland USA

4. Department of Biostatistics University of Washington Seattle Washington USA

5. Hebrew SeniorLife Harvard Medical School Boston Massachusetts USA

Funder

National Heart, Lung, and Blood Institute

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22369

Reference35 articles.

1. An integrated map of genetic variation from 1,092 human genomes

2. Epigenome-wide study identifies novel methylation loci associated with body mass index and waist circumference

3. The use of hierarchical models for estimating relative risks of individual genetic variants: An application to a study of melanoma

4. Sequence Kernel Association Test for Quantitative Traits in Family Samples

5. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray

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