Bibliographic Details
| Title: |
Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height |
| Authors: |
Gareth Hawkes, Robin N. Beaumont, Zilin Li, Ravi Mandla, Xihao Li, Christine M. Albert, Donna K. Arnett, Allison E. Ashley-Koch, Aneel A. Ashrani, Kathleen C. Barnes, Eric Boerwinkle, Jennifer A. Brody, April P. Carson, Nathalie Chami, Yii-Der Ida Chen, Mina K. Chung, Joanne E. Curran, Dawood Darbar, Patrick T. Ellinor, Myrian Fornage, Victor R. Gordeuk, Xiuqing Guo, Jiang He, Chii-Min Hwu, Rita R. Kalyani, Robert Kaplan, Sharon L. R. Kardia, Charles Kooperberg, Ruth J. F. Loos, Steven A. Lubitz, Ryan L. Minster, Take Naseri, Satupa’itea Viali, Braxton D. Mitchell, Joanne M. Murabito, Nicholette D. Palmer, Bruce M. Psaty, Susan Redline, M. Benjamin Shoemaker, Edwin K. Silverman, Marilyn J. Telen, Scott T. Weiss, Lisa R. Yanek, Hufeng Zhou, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ching-Ti Liu, Kari E. North, Anne E. Justice, Jonathan M. Locke, Nick Owens, Anna Murray, Kashyap Patel, Timothy M. Frayling, Caroline F. Wright, Andrew R. Wood, Xihong Lin, Alisa Manning, Michael N. Weedon |
| Source: |
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024) |
| Publisher Information: |
Nature Portfolio, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
Abstract The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We performed rare ( |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
https://doaj.org/toc/2041-1723 |
| DOI: |
10.1038/s41467-024-52579-w |
| Access URL: |
https://doaj.org/article/b2e3a91ecb614324b7f2fdd7370d5155 |
| Accession Number: |
edsdoj.b2e3a91ecb614324b7f2fdd7370d5155 |
| Database: |
Directory of Open Access Journals |
