Journal article
From sexless to sexy: Why it is time for human genetics to consider and report analyses of sex
Biology of sex differences, v 8(1), pp 15-15
03 May 2017
PMID: 28473910
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Science has come a long way with regard to the consideration of sex differences in clinical and preclinical research, but one field remains behind the curve: human statistical genetics. The goal of this commentary is to raise awareness and discussion about how to best consider and evaluate possible sex effects in the context of large-scale human genetic studies. Over the course of this commentary, we reinforce the importance of interpreting genetic results in the context of biological sex, establish evidence that sex differences are not being considered in human statistical genetics, and discuss how best to conduct and report such analyses. Our recommendation is to run stratified analyses by sex no matter the sample size or the result and report the findings. Summary statistics from stratified analyses are helpful for meta-analyses, and patterns of sex-dependent associations may be hidden in a combined dataset. In the age of declining sequencing costs, large consortia efforts, and a number of useful control samples, it is now time for the field of human genetics to appropriately include sex in the design, analysis, and reporting of results.
Metrics
Details
- Title
- From sexless to sexy: Why it is time for human genetics to consider and report analyses of sex
- Creators
- Matthew S. Powers - University of Colorado BoulderPhillip H. Smith - CUNY School of LawSherry A. Mckee - Yale UniversityMarissa A. Ehringer - University of Colorado BoulderPhilip Smith - A.J. Drexel Autism Institute
- Publication Details
- Biology of sex differences, v 8(1), pp 15-15
- Publisher
- Springer Nature
- Number of pages
- 6
- Grant note
- T32AA007464; P50DA033945 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000400473700001
- Scopus ID
- 2-s2.0-85018971242
- Other Identifier
- 991022030931804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Endocrinology & Metabolism
- Genetics & Heredity