News & Comment

A concerning trend in genetics is the common use of the term ‘trans-ethnic’ to describe analyses that combine or compare several ancestrally diverse populations. In this commentary, we discuss how this term is inaccurate and alienating. We propose that geneticists avoid using the term trans-ethnic entirely and that researchers across disciplines reach a new consensus about the best terms to use to describe the populations we study.

Here we introduce ‘FAQs on Genomic Studies’ (FoGS), an open-access repository of explanatory documents that accompany genomic analyses in social and behavioral genomics. For fields such as social and behavioral genomics that are shaped by an ugly history and uncertain future, socially and ethically responsible research and research communication are crucial. FoGS amplifies one such approach towards responsible research communication.

For most organisms, DNA sequences are available, but the complete RNA sequences are not. Here, we call for technologies to sequence full-length RNAs with all their modifications.

The International Mouse Phenotyping Consortium reports the generation of new mouse mutant strains for more than 5,000 genes, including 2,850 novel null, 2,987 novel conditional-ready and 4,433 novel reporter alleles.

We present the Polygenic Score (PGS) Catalog (https://www.PGSCatalog.org), an open resource of published scores (including variants, alleles and weights) and consistently curated metadata required for reproducibility and independent applications. The PGS Catalog has capabilities for user deposition, expert curation and programmatic access, thus providing the community with a platform for PGS dissemination, research and translation.

The National Cancer Institute (NCI) Genomic Data Commons (GDC) contains more than 2.9 petabytes of genomic and associated clinical data from more than 60 NCI-funded and other contributed cancer genomics research projects. The GDC consists of five applications over a common data model and a common application programming interface.

Here, we argue that, in line with the dramatic increase in the collection, storage and curation of human genomic data for biomedical research, genomic data repositories and consortia have adopted governance frameworks to both enable wide access and protect against possible harms. However, the merits and limitations of different governance frameworks in achieving these twin aims are a matter of ongoing debate in the scientific community; indeed, best practices and points for consideration are notably absent in devising governance frameworks for genomic databases. According to our collective experience in devising and assessing governance frameworks, we identify five key functions of ‘good governance’ (or ‘better governance’) and three areas in which trade-offs should be considered when specifying policies within those functions. We apply these functions as a benchmark to describe, as an example, the governance frameworks of six large-scale international genomic projects.