Evidence map›Paper›PMID 38196618›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data.

Valentina Cipriani, Letizia Vestito, Emma F Magavern, Julius Ob Jacobsen, Gavin Arno, Elijah R Behr, Katherine A Benson, Marta Bertoli, Detlef Bockenhauer, Michael R Bowl and 51 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

61 authors at 20 institutions in 7 countries.

Valentina Cipriani
Letizia Vestito
Emma F Magavern
Julius Ob Jacobsen
Gavin Arno
Elijah R Behr
Katherine A Benson
Marta Bertoli
Detlef Bockenhauer
Michael R Bowl
Kate Burley
Li F Chan
Patrick Chinnery
Peter Conlon
Marcos Costa
Alice E Davidson
Sally J Dawson
Elhussein Elhassan
Sarah E Flanagan
Marta Futema
Daniel P Gale
Sonia García-Ruiz
Cecilia Gonzalez Corcia
Helen R Griffin
Sophie Hambleton
Amy R Hicks
Henry Houlden
Richard S Houlston
Sarah A Howles
Robert Kleta
Iris Lekkerkerker
Siying Lin
Petra Liskova
Hannah Mitchison
Heba Morsy
Andrew D Mumford
William G Newman
Ruxandra Neatu
Edel A O'Toole
Albert Cm Ong
Alistair T Pagnamenta
Shamima Rahman
Neil Rajan
Peter N Robinson
Mina Ryten
Omid Sadeghi-Alavijeh
John A Sayer
Claire L Shovlin
Jenny C Taylor
Omri Teltsh
Ian Tomlinson
Arianna Tucci
Clare Turnbull
Albertien M van Eerde
James S Ware
Laura M Watts
Andrew R Webster
Sarah K Westbury
Sean L Zheng
Mark Caulfield
Damian Smedley
University College London · GBQueen Mary University of London · GBCentre for Human Genetics · GBNational Hospital for Neurology and Neurosurgery · GBUniversity of Bristol · GBBeaumont Hospital · IEInstitute of Cancer Research · GBMoorfields Eye Hospital NHS Foundation Trust · GBMRC London Institute of Medical Sciences · GBNewcastle University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBRoyal College of Surgeons in Ireland · IESt George's, University of London · GBUniversity Medical Center Utrecht · NLUniversity of Oxford · GBCentre Hospitalier Universitaire Sainte-Justine · CACharles University · CZGreat North Children's Hospital · GBImperial College London · GBJackson Laboratory · US

Funding

Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
Cancer Research UK 25514Medical Research Council MC_EX_MR/M009203/1Medical Research Council MC_PC_14089Medical Research Council MC_UP_1102/20Medical Research Council MR/M009203/1Medical Research Council MR/N008324/1Medical Research Council MR/S021329/1Medical Research Council MR/S031820/1Medical Research Council MR/X004597/1NHGRI NIH HHS RM1 HG010860Wellcome Trust 207556/Z/17/Z
6 · The paper itself

Abstract

To discover rare disease-gene associations, we developed a gene burden analytical framework and applied it to rare, protein-coding variants from whole genome sequencing of 35,008 cases with rare diseases and their family members recruited to the 100,000 Genomes Project (100KGP). Following

Identifiers

PMID38196618
PMCPMC10775325
OpenAlexW4390110942

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.