Evidence map›Paper›PMID 34545248›Full record

ReviewNature reviews. Genetics2022

A new era in functional genomics screens.

Laralynne Przybyla, Luke A Gilbert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers.

0numbers the graph read from it
0cells of the map it votes in
151citing 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

151 citing papers in PubMed.

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

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

2 authors.

Laralynne PrzybylaDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA. laralynne.przybyla@ucsf.edu.ORCID http://orcid.org/0000-0002-8598-4779
Luke A GilbertDepartment of Urology, University of California, San Francisco, San Francisco, CA, USA. luke.gilbert@ucsf.edu.ORCID http://orcid.org/0000-0001-5854-0825

Funding

A GENETIC INTERACTION MAP OF THE HUMAN NUCLEUSDP2CA239597 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GILBERT, LUKE · 2018 to 2018
$2.4M
NCI NIH HHS DP2 CA239597
6 · The paper itself

Abstract

The past 25 years of genomics research first revealed which genes are encoded by the human genome and then a detailed catalogue of human genome variation associated with many diseases. Despite this, the function of many genes and gene regulatory elements remains poorly characterized, which limits our ability to apply these insights to human disease. The advent of new CRISPR functional genomics tools allows for scalable and multiplexable characterization of genes and gene regulatory elements encoded by the human genome. These approaches promise to reveal mechanisms of gene function and regulation, and to enable exploration of how genes work together to modulate complex phenotypes.

Indexed as

CRISPR-Cas SystemsPolymorphism, Single NucleotideGene EditingGene Expression ProfilingGene Regulatory NetworksGenetic Association StudiesGenome, HumanGenome-Wide Association StudyGenomicsHumans

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.