Evidence map›Paper›PMID 25529582›Full record

ArticleLancet (London, England)2015

Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data.

Caroline F Wright, Tomas W Fitzgerald, Wendy D Jones, Stephen Clayton, Jeremy F McRae, Margriet van Kogelenberg, Daniel A King, Kirsty Ambridge, Daniel M Barrett, Tanya Bayzetinova and 23 more

Open access · hybridAbstract read
In one paragraph

Article in Lancet (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 437 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
437citing papers in PubMed, 3 pooled it
43.6field-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

437 citing papers in PubMed, 3 syntheses or guidelines pooled it, 787 citations in OpenAlex.

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  18. Rare variants ofFrontiers in cell and developmental biology · 2026
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377 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 4 institutions in 2 countries.

Caroline F WrightWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK. Electronic address: caroline.wright@sanger.ac.uk.
Tomas W FitzgeraldWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Wendy D JonesWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Stephen ClaytonWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Jeremy F McRaeWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Margriet van KogelenbergWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Daniel A KingWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Kirsty AmbridgeWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Daniel M BarrettWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Tanya BayzetinovaWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
A Paul BevanWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Eugene BraginWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Eleni A ChatzimichaliWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Susan GribbleWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Philip JonesWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Netravathi KrishnappaWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Laura E MasonWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Ray MillerWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Katherine I MorleyWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK; Institute of Psychiatry, King's College London, London, UK; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Vijaya ParthibanWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Elena PrigmoreWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Diana RajanWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Alejandro SifrimWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
G Jawahar SwaminathanWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Adrian R TiveyWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Anna MiddletonWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Michael ParkerThe Ethox Centre, Nuffield Department of Population Health University of Oxford, Old Road Campus, Oxford, UK.
Nigel P CarterWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Jeffrey C BarrettWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Matthew E HurlesWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
David R FitzPatrickMRC Human Genetics Unit, MRC IGMM, University of Edinburgh, WGH, Edinburgh, UK.
Helen V FirthWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK; Cambridge University Hospitals Foundation Trust, Addenbrooke's Hospital, Cambridge, UK.
DDD study
Wellcome Sanger Institute · GBAddenbrooke's Hospital · GBMRC Institute of Genetics and Molecular Medicine · GBUniversity of Oxford · GB

Funding

Department of HealthMedical Research Council MC_PC_U127561093Wellcome Trust 091986Wellcome Trust 098395Wellcome Trust WT098051
6 · The paper itself

Abstract

backgroundHuman genome sequencing has transformed our understanding of genomic variation and its relevance to health and disease, and is now starting to enter clinical practice for the diagnosis of rare diseases. The question of whether and how some categories of genomic findings should be shared with individual research participants is currently a topic of international debate, and development of robust analytical workflows to identify and communicate clinically relevant variants is paramount.

methodsThe Deciphering Developmental Disorders (DDD) study has developed a UK-wide patient recruitment network involving over 180 clinicians across all 24 regional genetics services, and has performed genome-wide microarray and whole exome sequencing on children with undiagnosed developmental disorders and their parents. After data analysis, pertinent genomic variants were returned to individual research participants via their local clinical genetics team.

findingsAround 80,000 genomic variants were identified from exome sequencing and microarray analysis in each individual, of which on average 400 were rare and predicted to be protein altering. By focusing only on de novo and segregating variants in known developmental disorder genes, we achieved a diagnostic yield of 27% among 1133 previously investigated yet undiagnosed children with developmental disorders, whilst minimising incidental findings. In families with developmentally normal parents, whole exome sequencing of the child and both parents resulted in a 10-fold reduction in the number of potential causal variants that needed clinical evaluation compared to sequencing only the child. Most diagnostic variants identified in known genes were novel and not present in current databases of known disease variation.

interpretationImplementation of a robust translational genomics workflow is achievable within a large-scale rare disease research study to allow feedback of potentially diagnostic findings to clinicians and research participants. Systematic recording of relevant clinical data, curation of a gene-phenotype knowledge base, and development of clinical decision support software are needed in addition to automated exclusion of almost all variants, which is crucial for scalable prioritisation and review of possible diagnostic variants. However, the resource requirements of development and maintenance of a clinical reporting system within a research setting are substantial.

fundingHealth Innovation Challenge Fund, a parallel funding partnership between the Wellcome Trust and the UK Department of Health.

Indexed as

AdolescentChildChild, PreschoolDevelopmental DisabilitiesFemaleGenetic VariationGenome, HumanGenome-Wide Association StudyHeterozygoteHumansIncidental FindingsInfantInfant, NewbornInformation DisseminationMalePhenotype

Identifiers

PMID25529582
PMCPMC4392068
OpenAlexW2100407705

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.