Evidence map›Paper›PMID 26875679›Full record

ReviewNature reviews. Genetics2016

Cheating evolution: engineering gene drives to manipulate the fate of wild populations.

Jackson Champer, Anna Buchman, Omar S Akbari

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed
32.0field-weighted citation impact, top 1% of its field
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

198 citing papers in PubMed, 554 citations in OpenAlex.

  1. Article
  2. Article
  3. Research Trends and Collaborative Patterns inInternational journal of environmental research and public health · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Mapping Gene Drive Dynamics onto Mendelian Models.bioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Modeling Control of Invasive Fire Ants by Gene Drive.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Article
  20. Review

138 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jackson ChamperDepartment of Entomology, University of California, Riverside, Center for Disease Vector Research, Institute for Integrative Genome Biology, University of California, Riverside, California 92521, USA.
Anna BuchmanDepartment of Entomology, University of California, Riverside, Center for Disease Vector Research, Institute for Integrative Genome Biology, University of California, Riverside, California 92521, USA.
Omar S AkbariDepartment of Entomology, University of California, Riverside, Center for Disease Vector Research, Institute for Integrative Genome Biology, University of California, Riverside, California 92521, USA.
University of California, Riverside · US

Funding

Synthetically engineering population control systems in vectors of human diseaseK22AI113060 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AKBARI, OMAR SULTAN · 2015 to 2016
$270k
NIAID NIH HHS 5K22AI113060‑02NIAID NIH HHS K22 AI113060
6 · The paper itself

Abstract

Engineered gene drives - the process of stimulating the biased inheritance of specific genes - have the potential to enable the spread of desirable genes throughout wild populations or to suppress harmful species, and may be particularly useful for the control of vector-borne diseases such as malaria. Although several types of selfish genetic elements exist in nature, few have been successfully engineered in the laboratory thus far. With the discovery of RNA-guided CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats-CRISPR-associated 9) nucleases, which can be utilized to create, streamline and improve synthetic gene drives, this is rapidly changing. Here, we discuss the different types of engineered gene drives and their potential applications, as well as current policies regarding the safety and regulation of gene drives for the manipulation of wild populations.

Indexed as

CRISPR-Cas SystemsAnimalsAnimals, WildBiological EvolutionBiotechnologyClustered Regularly Interspaced Short Palindromic RepeatsGenetic EngineeringGenetics, PopulationOrganisms, Genetically ModifiedPopulation DynamicsSynthetic Biology

Identifiers

PMID26875679
OpenAlexW2263233808

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.