Genetics Society of America
GSA connects you to the field through a range of scholarly and community publications: our peer-reviewed journals offer two distinct platforms for communicating high-quality original research; our blog brings perspective to your research and career; and our newsletters keep you up to date with the latest opportunities and news from your community.
GENETICS publishes high-quality genetics and genomics research that expands scientific boundaries—we’ve been building the field since 1916. With its broad readership, rich history, and responsive editors, GENETICS brings the latest in publishing innovations to the communities it serves. We invite you to submit your research and discover the fast turnaround times and helpful review process for yourself.
Get your useful data out into the world by publishing in G3: Genes|Genomes|Genetics. G3 publishes high quality foundational research, particularly studies that generate useful genetic information, such as mutant screens, single gene studies, genome maps, genome sequence data, GWAS and QTL studies, software, data resources, and new methods. The Editorial Board of G3 believes that rapid dissemination of such data lays the foundation for many important insights.
We treat authors as colleagues, not adversaries. Your time is important—and so is your research. Peer editors oversee the review process and give you clear guidance on how to address any reviewer comments; our helpful editorial staff keep the process moving and on time. We make it easy to submit: no formatting requirements on initial submission. Our dedicated editors work hard to keep time to first decision at around a month. And because we’re agile and community-driven, we’ve long been at the forefront of publishing innovations.
The GSA Journals are committed to helping authors get their work in front a wide audience. Our Promotional Toolkit for Authors contains pointers to help you promote your GENETICS or G3: Genes|Genomes|Genetics paper, including how GSA and Oxford University Press can help.
The review experience has been the single most useful and pleasant of my career. The reviews were constructive and fair, the editor provided exceptionally clear guidance, and turn-around on the revision was lightning fast.
Genes to Genomes, the GSA blog, features news from the GSA community, highlights from the GSA journals, and posts from staff and guest authors about careers, professional development, science policy, publishing, education, outreach, equity and inclusion, and the intersections of science, art, and culture. Propose a guest post yourself and start a conversation!
The 66th Annual Drosophila Research Conference promises to be a meeting rich with the latest in Drosophila research as well as opportunities to advance your career and connect with a global community of 1,400+ scientists. The organizers Todd Nystul, Michelle Bland, Leila Rieder, Amanda Crocker, and Justin Crocker are hard at work, planning a conference…
AbstractGenoTools, a Python package, streamlines population genetics research by integrating ancestry estimation, quality control (QC), and genome-wide association studies (GWAS) capabilities into efficient pipelines. By tracking samples, variants, and quality-specific measures throughout fully customizable pipelines, users can easily manage genetics data for large and small studies. GenoTools’ “Ancestry” module renders highly accurate predictions, allowing for high-quality ancestry-specific studies, and enables custom ancestry model training and serialization specified to the user’s genotyping or sequencing platform. As...
AbstractVariable selection and large-scale hypothesis testing are techniques commonly used to analyze high-dimensional genomic data. Despite recent advances in theory and methodology, variable selection and inference with highly collinear features remain challenging. For instance, collinearity poses a great challenge in genome-wide association studies involving millions of variants, many of which may be in high linkage disequilibrium. In such settings, collinearity can significantly reduce the power of variable selection methods to identify individual variants associated with...
