Cited by 1,196Hemoglobinopathies and Related DisordersMalaria Research and ControlNeonatal Health and Biochemistry

Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates

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Piel, Frédéric B, Patil, Anand P, Howes, Rosalind E, Nyangiri, Oscar A, Gething, Peter W, Dewi, Mewahyu, Temperley, William H, Williams, Thomas N +2 more·2013·The Lancet

Abstract

BACKGROUND: Reliable estimates of populations affected by diseases are necessary to guide efficient allocation of public health resources. Sickle haemoglobin (HbS) is the most common and clinically significant haemoglobin structural variant, but no contemporary estimates exist of the global populations affected. Moreover, the precision of available national estimates of heterozygous (AS) and homozygous (SS) neonates is unknown. We aimed to provide evidence-based estimates at various scales, with uncertainty measures. METHODS: Using a database of sickle haemoglobin surveys, we created a contemporary global map of HbS allele frequency distribution within a Bayesian geostatistical model. The pairing of this map with demographic data enabled calculation of global, regional, and national estimates of the annual number of AS and SS neonates. Subnational estimates were also calculated in data-rich areas. FINDINGS: Our map shows subnational spatial heterogeneities and high allele frequencies across most of sub-Saharan Africa, the Middle East, and India, as well as gene flow following migrations to western Europe and the eastern coast of the Americas. Accounting for local heterogeneities and demographic factors, we estimated that the global number of neonates affected by HbS in 2010 included 5,476,000 (IQR 5,291,000-5,679,000) AS neonates and 312,000 (294,000-330,000) SS neonates. These global estimates are higher than previous conservative estimates. Important differences predicted at the national level are discussed. INTERPRETATION: HbS will have an increasing effect on public health systems. Our estimates can help countries and the international community gauge the need for appropriate diagnoses and genetic counselling to reduce the number of neonates affected. Similar mapping and modelling methods could be used for other inherited disorders. FUNDING: The Wellcome Trust.

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Authors
Piel, F. B., Patil, A. P., Howes, R. E., Nyangiri, O. A., Gething, P. W., Dewi, M., Temperley, W. H., Williams, T. N., Weatherall, D. J., & Hay, S. I.
Affiliations
  • University of Oxford (GB)
  • Kenya Medical Research Institute (KE)
  • Oxford University Clinical Research Unit Indonesia (ID)
  • John Radcliffe Hospital (GB)
Corresponding author
Piel, Frédéric B
Venue
The Lancet
Publisher
Elsevier BV
Published
2013-01
Volume
381
Issue
9861
Pages
142-151
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W2115657655
Cited by
1,196
References
36
Citations by year
2026: 81 · 2025: 93 · 2024: 99 · 2023: 116 · 2022: 116 · 2021: 122 · 2020: 113 · 2019: 92 · 2018: 83 · 2017: 84 · 2016: 74 · 2015: 60 · 2014: 35 · 2013: 21 · 2012: 3
FWCI
18.17
Type
journal article
Language
en
Open access
Locations
  • The Lancet (publishedVersion, other-oa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Fondation Philippe Wiener - Maurice Anspach
  • Li Ka Shing Foundation
  • Wellcome Trust (079091, 091758)
  • European Research Council
Topics
  • Health Sciences › Medicine › Genetics › Hemoglobinopathies and Related Disorders
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Neonatal Health and Biochemistry
Keywords
hemoglobin S, sickle cell disease, neonates, gene flow, sub-Saharan Africa, Middle East, India, genetic counseling, genetic disorders
MeSH terms
Gene Frequency, Hemoglobin, Sickle, Heterozygote, Homozygote, Humans, Infant, Newborn, Population Dynamics, Sickle Cell Trait, Global Health, Africa South of the Sahara

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