Evidence map›Paper›PMID 37093293›Full record

ReviewHuman genetics2023

Demographic diversity of genetic databases used in Alzheimer's disease research.

Robert I Field, Anthony W Orlando, Arnold J Rosoff

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Robert I FieldDrexel University, Kline School of Law and Dornsife School of Public Health, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1325-3504
Anthony W OrlandoCalifornia State Polytechnic University, Pomona, College of Business Administration, Pomona, CA, USA. aworlando@cpp.edu.ORCID http://orcid.org/0000-0003-3397-5368
Arnold J RosoffUniversity of Pennsylvania, The Wharton School, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For several years, experts have warned about the lack of diversity in genetic research databases, and researchers have devoted time and resources to recruiting subjects from underrepresented subgroups. In this study, we review published reports in academic journals of genetic studies of Alzheimer's disease to note whether demographic diversity was indicated in the reports and, if so, the extent of representation of non-European subjects over the period from 1997 to 2022. We use multivariate regression analysis to analyze changes over time and to explain variation across studies. Our analysis indicates that reported diversity has not changed over time. Rather, it appears to have remained relatively constant, since Genome-Wide Association Studies (GWASs) were first used in the 1990s. We find most variation to be across journals rather than within journals, suggesting that characteristics of journals are an important influence on the dissemination of research with diverse samples. Lack of racial diversity in genetic databases used to develop clinical applications could lead to disparities in the effectiveness of those applications for underrepresented groups.

Indexed as

Alzheimer DiseaseDatabases, GeneticDemographyGenome-Wide Association StudyHumansRacial Groups

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.