Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants

Young, K. L., Fisher, V., Deng, X., Brody, J. A., Graff, M., Lim, E., Lin, B. M., Xu, H., Amin, N., An, P., Aslibekyan, S., Fohner, A. E., Hidalgo, B., Lenzini, P., Kraaij, R., Medina-Gomez, C., Prokić, I., Rivadeneira, F., Sitlani, C., … Liu, C.-T. (2023). Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. Human Genetics and Genomics Advances, 4(1), 100163. https://doi.org/10.1016/j.xhgg.2022.100163
Authors:
Kristin L. Young
Misa Graff
Kari E. North
Virginia Fisher
Xuan Deng
Elise Lim
Hanfei Xu
L. Adrienne Cupples
Ching-Ti Liu
Jennifer A. Brody
Colleen Sitlani
Bridget M. Lin
Danyu Lin
Najaf Amin
Ivana Prokic
Ping An
Petra Lenzini
Michael Province
Stella Aslibekyan
Bertha Hidalgo
Marguerite R. Irvin
Alison E. Fohner
Alexander P. Reiner
Robert Kraaij
Carolina Medina-Gomez
Fernando Rivadeneira
Jeroen van Rooij
Ran Tao
Di Zhang
Jai G. Broome
Erin J. Buth
Benjamin D. Heavner
Deepti Jain
Barbara McKnight
Kathleen Barnes
Meher Preethi Boorgula
Sameer Chavan
Dawood Darbar
Mariza De Andrade
Xiuqing Guo
Jerome I. Rotter
Jeffrey Haessler
Charles Kooperberg
Rita R. Kalyani
Sharon L. R. Kardia
Patricia A. Peyser
Jennifer A. Smith
Wonji Kim
Scott Weiss
Rasika A. Mathias
Merry-Lynn McDonald
Braxton D. Mitchell
Elizabeth A. Regan
Susan Redline
Stephen S. Rich
Kerri L. Wiggins
Lisa R. Yanek
Donna Arnett
Nancy L. Heard-Costa
Suzanne Leal
Cornelia M. van Duijn
Affiliated Authors:
Suzanne Leal
Columbia Affiliation:
elink
Publication Type:
Article
Unique ID:
10.1016/j.xhgg.2022.100163
PMID:
36568030
DOI:
10.1016/j.xhgg.2022.100163
Journal:
Human Genetics and Genomics Advances
Publication Date:
Data Source:
Web of Science
Source Link:
View Web of Science Record

Record Created: