Toward a deeper understanding of gene-by-sex interaction models

Ekaterina A Khramtsova; Stacey J Winham; Lea K Davis; Barbara E Stranger; Melissa A Wilson

doi:10.1016/j.xgen.2023.100324

Toward a deeper understanding of gene-by-sex interaction models

Cell Genom. 2023 May 10;3(5):100324. doi: 10.1016/j.xgen.2023.100324.

Authors

Ekaterina A Khramtsova¹, Stacey J Winham², Lea K Davis^{3

4}, Barbara E Stranger⁵, Melissa A Wilson⁶

Affiliations

¹ Population Analytics and Insights, Data Science Analytics & Insights, Janssen R&D, Spring House, PA, USA.
² Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA.
³ Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
⁴ Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
⁵ Center for Genetic Medicine, Department of Pharmacology, Northwestern University, Chicago, IL, USA.
⁶ School of Life Sciences, Center for Evolution and Medicine, Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85282, USA.

Abstract

In this issue of Cell Genomics, Zhu et al.¹ propose amplification as the primary mode for gene-by-sex interactions in complex traits. Khramtsova et al. preview their modeling approach and discuss implications for the future work on the genomics of sex differences.

Publication types

News

Grants and funding

R35 GM124827/GM/NIGMS NIH HHS/United States