Evidence map›Paper›PMID 30109643›Full record

ArticleJournal of community genetics2018

Rare single gene disorders: estimating baseline prevalence and outcomes worldwide.

Hannah Blencowe, Sowmiya Moorthie, Mary Petrou, Hanan Hamamy, Sue Povey, Alan Bittles, Stephen Gibbons, Matthew Darlison, Bernadette Modell, Congenital Disorders Expert Group

Abstract read
In one paragraph

Article in Journal of community genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Personalized Medicine in Treating Rare Genetic Disorders: A Review.Journal of pharmacy & bioallied sciences · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. NovelMolecular syndromology · 2023
    Article
  17. Article
  18. Article
  19. Self-Amplifying RNA Approach for Protein Replacement Therapy.International journal of molecular sciences · 2022
    Review
  20. Review
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

10 authors.

Hannah BlencoweCentre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK.
Sowmiya MoorthiePHG Foundation, 2 Worts Causeway, Cambridge, UK.
Mary PetrouInstitute of Women's Health, University College London, London, UK.
Hanan HamamyDepartment of Genetic Medicine and Development, Geneva University, Geneva, Switzerland.
Sue PoveyUniversity College London, London, UK.
Alan BittlesSchool of Medical and Health Sciences, Edith Cowan University, Perth, Australia.
Stephen GibbonsDepartment of Geography and Environment, London School of Economics, London, UK.
Matthew DarlisonWHO Collaborating Centre for Community Genetics, Centre for Health Informatics and Multi-professional Education (CHIME), University College London, London, UK. m.darlison@ucl.ac.uk.ORCID http://orcid.org/0000-0002-0054-6594
Bernadette ModellWHO Collaborating Centre for Community Genetics, Centre for Health Informatics and Multi-professional Education (CHIME), University College London, London, UK.
Congenital Disorders Expert Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As child mortality rates overall are decreasing, non-communicable conditions, such as genetic disorders, constitute an increasing proportion of child mortality, morbidity and disability. To date, policy and public health programmes have focused on common genetic disorders. Rare single gene disorders are an important source of morbidity and premature mortality for affected families. When considered collectively, they account for an important public health burden, which is frequently under-recognised. To document the collective frequency and health burden of rare single gene disorders, it is necessary to aggregate them into large manageable groupings and take account of their family implications, effective interventions and service needs. Here, we present an approach to estimate the burden of these conditions up to 5 years of age in settings without empirical data. This approaches uses population-level demographic data, combined with assumptions based on empirical data from settings with data available, to provide population-level estimates which programmes and policy-makers when planning services can use.

Indexed as

Birth prevalenceDisabilityMortalityRare genetic disorders

Identifiers

PMID30109643
PMCPMC6167259

What OpenQuestion holds

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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.