Journal
HGG Advances
Publication Date
1-12-2023
Volume
4
Issue
1
First Page
100163
Document Type
Open Access Publication
DOI
10.1016/j.xhgg.2022.100163
Rights and Permissions
Young KL, Fisher V, Deng X, Brody JA, Graff M, Lim E, Lin BM, Xu H, Amin N, An P, Aslibekyan S, Fohner AE, Hidalgo B, Lenzini P, Kraaij R, Medina-Gomez C, Prokić I, Rivadeneira F, Sitlani C, Tao R, van Rooij J, Zhang D, Broome JG, Buth EJ, Heavner BD, Jain D, Smith AV, Barnes K, Boorgula MP, Chavan S, Darbar D, De Andrade M, Guo X, Haessler J, Irvin MR, Kalyani RR, Kardia SLR, Kooperberg C, Kim W, Mathias RA, McDonald ML, Mitchell BD, Peyser PA, Regan EA, Redline S, Reiner AP, Rich SS, Rotter JI, Smith JA, Weiss S, Wiggins KL, Yanek LR, Arnett D, Heard-Costa NL, Leal S, Lin D, McKnight B, Province M, van Duijn CM, North KE, Cupples LA, Liu CT. Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. HGG Adv. 2022 Nov 25;4(1):100163. doi: 10.1016/j.xhgg.2022.100163. Copyright 2022 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Recommended Citation
Young, Kristin L; An, Ping; Lenzini, Petra; Province, Michael; and et al., "Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants." HGG Advances. 4, 1. 100163 (2023).
https://digitalcommons.wustl.edu/oa_4/3793
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
