Evidence map›Paper›PMID 33536628›Full record

ArticleNature2021

Author Correction: Evaluating drug targets through human loss-of-function genetic variation.

Eric Vallabh Minikel, Konrad J Karczewski, Hilary C Martin, Beryl B Cummings, Nicola Whiffin, Daniel Rhodes, Jessica Alföldi, Richard C Trembath, David A van Heel, Mark J Daly and 4 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature, 2021. 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

5 · Who and what money

Authors and funding

14 authors.

Eric Vallabh MinikelProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. eminikel@broadinstitute.org.
Konrad J KarczewskiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2878-4671
Hilary C MartinWellcome Sanger Institute, Hinxton, Cambridgeshire, UK.
Beryl B CummingsProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nicola WhiffinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Daniel RhodesCentre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London and Barts Health NHS Trust, London, UK.
Jessica AlföldiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9713-6200
Richard C TrembathSchool of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
David A van HeelBlizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-0637-2265
Mark J DalyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0949-8752
Genome Aggregation Database Production Team
Genome Aggregation Database Consortium
Stuart L SchreiberChemical Biology and Therapeutics Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Daniel G MacArthurProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. d.macarthur@garvan.org.au.ORCID http://orcid.org/0000-0002-5771-2290

Funding

British Heart Foundation CS/14/2/30841British Heart Foundation RG/18/10/33842Wellcome Trust 210561/Z/18/Z
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33536628
PMCPMC8064910

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.