Bibliographic Details
| Title: |
A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids |
| Authors: |
Mina-A Jhun, Michael Mendelson, Rory Wilson, Rahul Gondalia, Roby Joehanes, Elias Salfati, Xiaoping Zhao, Kim Valeska Emilie Braun, Anh Nguyet Do, Åsa K. Hedman, Tao Zhang, Elena Carnero-Montoro, Jincheng Shen, Traci M. Bartz, Jennifer A. Brody, May E. Montasser, Jeff R. O’Connell, Chen Yao, Rui Xia, Eric Boerwinkle, Megan Grove, Weihua Guan, Pfeiffer Liliane, Paula Singmann, Martina Müller-Nurasyid, Thomas Meitinger, Christian Gieger, Annette Peters, Wei Zhao, Erin B. Ware, Jennifer A. Smith, Klodian Dhana, Joyce van Meurs, Andre Uitterlinden, Mohammad Arfan Ikram, Mohsen Ghanbari, Deugi Zhi, Stefan Gustafsson, Lars Lind, Shengxu Li, Dianjianyi Sun, Tim D. Spector, Yii-der Ida Chen, Coleen Damcott, Alan R. Shuldiner, Devin M. Absher, Steve Horvath, Philip S. Tsao, Sharon Kardia, Bruce M. Psaty, Nona Sotoodehnia, Jordana T. Bell, Erik Ingelsson, Wei Chen, Abbas Dehghan, Donna K. Arnett, Melanie Waldenberger, Lifang Hou, Eric A. Whitsel, Andrea Baccarelli, Daniel Levy, Myriam Fornage, Marguerite R. Irvin, Themistocles L. Assimes |
| Source: |
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021) |
| Publisher Information: |
Nature Portfolio, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
Abnormal blood lipid levels are important risk factors for cardiovascular and other various diseases. Here the authors conduct a large-scale multi-ethnic epigenome-wide association study combined with epigenetic (cis-QTL and eQTM) data, and identify CpG-lipid traits associations that are specific to or common across racial/ethnic groups. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
https://doaj.org/toc/2041-1723 |
| DOI: |
10.1038/s41467-021-23899-y |
| Access URL: |
https://doaj.org/article/5a34ff34ea7042f0b1ef2141f1a26dde |
| Accession Number: |
edsdoj.5a34ff34ea7042f0b1ef2141f1a26dde |
| Database: |
Directory of Open Access Journals |
