Evidence map›Paper›PMID 36815490›Full record

ArticleDisease models & mechanisms2023

The future of sickle cell disease therapeutics rests in genomics.

Ambroise Wonkam

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Genetics and Genomics in Sickle Cell Disease in Africa.American journal of hematology · 2026
    Review
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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

1 author at 1 institution in 1 country.

Ambroise WonkamMcKusick-Nathans Institute and Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-1420-9051
Johns Hopkins University · US

Funding

Sickle Africa Data Coordinating CenterU24HL135600 · NHLBI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA, WONKAM, AMBROISE · 2017 to 2025
$8.6M
Return of a Fragile X Syndrome genetic result: exploring the feedback of individual genetic findings and their relation to traditional knowledge in a village in Cameroon.U54HG009790 · NHGRI · UNIVERSITY OF CAPE TOWN · PI WONKAM, AMBROISE · 2017 to 2021
$2.5M
Public Understanding of Big data in Genomics Medicine in Africa (PUBGEM-Africa)U01MH127692 · NIMH · UNIVERSITY OF CAPE TOWN · PI MUNUNG, NCHANGWI SYNTIA, WONKAM, AMBROISE · 2021 to 2025
$1.9M
Hearing Impairment Genetics Studies in Africa (HI-GENES Africa)U01HG009716 · NHGRI · UNIVERSITY OF CAPE TOWN · PI WONKAM, AMBROISE · 2017 to 2021
$1.2M
NHGRI NIH HHS U01 HG009716NHGRI NIH HHS U54 HG009790NHLBI NIH HHS U24 HL135600NIMH NIH HHS U01 MH127692Wellcome TrustWellcome Trust 107755Z/15/Z
6 · The paper itself

Abstract

Sickle cell disease (SCD) is the most-common monogenic recessive disease in humans, annually affecting almost 300,000 newborns worldwide, 75% of whom live in Africa. Genomics research can accelerate the development of curative therapies for SCD in three ways. First, research should explore the missing heritability of foetal haemoglobin (HbF) - the strongest known modifier of SCD clinical expression - among highly genetically heterogenous and understudied African populations, to provide novel therapeutics targets for HbF induction. Second, SCD research should invest in RNA therapies, either by using microRNA to target the production of HbF proteins by binding to the transcription machinery in a cell, or by directly mediating production of HbF or adult haemoglobin through injection of messenger RNA. Third, investigators should aim to identify currently unknown genetic risk factors for SCD cardiovascular complications, which will address mortality, particularly in adults. Now is the time for global research programs to uncover genomic keys to unlock SCD therapeutics.

Indexed as

Anemia, Sickle CellMicroRNAsGenomicsHumansInfant, NewbornMicroRNAs

Identifiers

PMID36815490
PMCPMC9983775
OpenAlexW4321602731

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.