SynthesisPLoS genetics2013
Imputation-based meta-analysis of severe malaria in three African populations.
Synthesis in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 66 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
66 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Common Genetic Polymorphisms Influence Blood Biomarker Measurements in COPD.PLoS genetics · 2016Pooled it
- Independent emergence of artemisinin resistance mutations among Plasmodium falciparum in Southeast Asia.The Journal of infectious diseases · 2015Pooled it
- Genome-wide association study of ancestry-specific TB risk in the South African Coloured population.Human molecular genetics · 2014Pooled it
- Latent cytomegalovirus disrupts innate NK cell responses to P. falciparum and impairs parasite control in first infection in adults.PLoS pathogens · 2026Article
- Unraveling an enhancer-silencer regulatory element showing epistatic interaction with a variant that escaped genome-wide association studies.Cell genomics · 2025Article
- From Genome-wide Association Studies to Functional Variants: ARL14 Cis-regulatory Variants Are Associated With Severe Malaria.The Journal of infectious diseases · 2024Article
- Non-O ABO blood group genotypes differ in their associations with Plasmodium falciparum rosetting and severe malaria.PLoS genetics · 2023Article
- Genome-wide association study identifies novel candidate malaria resistance genes in Cameroon.Human molecular genetics · 2023Article
- Genome-wide association testing in malaria studies in the presence of overdominance.Malaria journal · 2023Article
- ATP2B4 regulatory genetic variants are associated with mild malaria.Malaria journal · 2023Article
- Genetic variations in human ATP2B4 gene alter Plasmodium falciparum in vitro growth in RBCs from Gambian adults.Malaria journal · 2023Article
- Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach.BMC bioinformatics · 2022Article
- Identification ofInternational journal of molecular sciences · 2022Article
- Leveraging Mann-Whitney U test on large-scale genetic variation data for analysing malaria genetic markers.Malaria journal · 2022Article
- Advances in integrative African genomics.Trends in genetics : TIG · 2022Review
- Delta-Catenin as a Modulator of Rho GTPases in Neurons.Frontiers in cellular neuroscience · 2022Review
- Bayesian model comparison for rare-variant association studies.American journal of human genetics · 2021Article
- Article
- An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.Genome medicine · 2021Article
- Fine scale human genetic structure in three regions of Cameroon reveals episodic diversifying selection.Scientific reports · 2021Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issuedMalaria Genomic Epidemiological Network [corrected to Malaria Genomic Epidemiology Network]
Authors and funding
36 authors.
Funding
Abstract
Combining data from genome-wide association studies (GWAS) conducted at different locations, using genotype imputation and fixed-effects meta-analysis, has been a powerful approach for dissecting complex disease genetics in populations of European ancestry. Here we investigate the feasibility of applying the same approach in Africa, where genetic diversity, both within and between populations, is far more extensive. We analyse genome-wide data from approximately 5,000 individuals with severe malaria and 7,000 population controls from three different locations in Africa. Our results show that the standard approach is well powered to detect known malaria susceptibility loci when sample sizes are large, and that modern methods for association analysis can control the potential confounding effects of population structure. We show that pattern of association around the haemoglobin S allele differs substantially across populations due to differences in haplotype structure. Motivated by these observations we consider new approaches to association analysis that might prove valuable for multicentre GWAS in Africa: we relax the assumptions of SNP-based fixed effect analysis; we apply Bayesian approaches to allow for heterogeneity in the effect of an allele on risk across studies; and we introduce a region-based test to allow for heterogeneity in the location of causal alleles.
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Registered trials
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.