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Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children

BACKGROUND: Severe malarial anaemia (SMA) is a leading cause of childhood mortality in holoendemic Plasmodium falciparum regions. METHODS: To gain an improved understanding of SMA pathogenesis, whole genome and transcriptome profiling was performed in Kenyan children (n = 144, 3–36 months) with disc...

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Autores principales: Achieng, Angela O., Hengartner, Nicolas W., Raballah, Evans, Cheng, Qiuying, Anyona, Samuel B., Lauve, Nick, Guyah, Bernard, Foo-Hurwitz, Ivy, Ong'echa, John M., McMahon, Benjamin H., Ouma, Collins, Lambert, Christophe G., Perkins, Douglas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642287/
https://www.ncbi.nlm.nih.gov/pubmed/31278068
http://dx.doi.org/10.1016/j.ebiom.2019.06.043
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author Achieng, Angela O.
Hengartner, Nicolas W.
Raballah, Evans
Cheng, Qiuying
Anyona, Samuel B.
Lauve, Nick
Guyah, Bernard
Foo-Hurwitz, Ivy
Ong'echa, John M.
McMahon, Benjamin H.
Ouma, Collins
Lambert, Christophe G.
Perkins, Douglas J.
author_facet Achieng, Angela O.
Hengartner, Nicolas W.
Raballah, Evans
Cheng, Qiuying
Anyona, Samuel B.
Lauve, Nick
Guyah, Bernard
Foo-Hurwitz, Ivy
Ong'echa, John M.
McMahon, Benjamin H.
Ouma, Collins
Lambert, Christophe G.
Perkins, Douglas J.
author_sort Achieng, Angela O.
collection PubMed
description BACKGROUND: Severe malarial anaemia (SMA) is a leading cause of childhood mortality in holoendemic Plasmodium falciparum regions. METHODS: To gain an improved understanding of SMA pathogenesis, whole genome and transcriptome profiling was performed in Kenyan children (n = 144, 3–36 months) with discrete non-SMA and SMA phenotypes. Leukocyte associated immunoglobulin like receptor 1 (LAIR1) emerged as a predictor of susceptibility to SMA (P < 1 × 10(−2), OR: 0.44–1.37), and was suppressed in severe disease (−1.69-fold, P = 0.004). To extend these findings, the relationship between LAIR1 polymorphisms [rs6509867 (16231C>A); rs2287827 (18835G>A)] and clinical outcomes were investigated in individuals (n = 1512, <5 years) at enrolment and during a 36-month longitudinal follow-up. FINDINGS: Inheritance of the 16,231 recessive genotype (AA) increased susceptibility to SMA at enrolment (OR = 1.903, 95%CI: 1.252–2.891, P = 0.003), and longitudinally (RR = 1.527, 95%CI: 1.119–2.083, P = 0.008). Carriage of the 18,835 GA genotype protected against SMA cross-sectionally (OR = 0.672, 95%CI: 0.480–0.9439, P = 0.020). Haplotype carriage (C16231A/G18835A) also altered cross-sectional susceptibility to SMA: CG (OR = 0.717, 95%CI: 0.527–0.9675, P = 0.034), CA (OR = 0.745, 95%CI: 0.536–1.036, P = 0.080), and AG (OR = 1.641, 95%CI: 1.160–2.321, P = 0.005). Longitudinally, CA carriage was protective against SMA (RR = 0.715, 95%CI: 0.554–0.923, P = 0.010), while AG carriage had an additive effect on enhanced SMA risk (RR = 1.283, 95%CI: 1.057–1.557, P = 0.011). Variants that protected against SMA had elevated LAIR1 transcripts, while those with enhanced risk had lower expression (P < 0.05). Inheritance of 18,835 GA reduced all-cause mortality by 44.8% (HR = 0.552, 95%CI: 0.329–0.925, P = 0.024), while AG haplotype carriage increased susceptibility by 68% (HR = 1.680, 95%CI: 1.020–2.770, P = 0.040). INTERPRETATION: These findings suggest LAIR1 is important for modulating susceptibility to SMA and all-cause childhood mortality.
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spelling pubmed-66422872019-07-29 Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children Achieng, Angela O. Hengartner, Nicolas W. Raballah, Evans Cheng, Qiuying Anyona, Samuel B. Lauve, Nick Guyah, Bernard Foo-Hurwitz, Ivy Ong'echa, John M. McMahon, Benjamin H. Ouma, Collins Lambert, Christophe G. Perkins, Douglas J. EBioMedicine Research paper BACKGROUND: Severe malarial anaemia (SMA) is a leading cause of childhood mortality in holoendemic Plasmodium falciparum regions. METHODS: To gain an improved understanding of SMA pathogenesis, whole genome and transcriptome profiling was performed in Kenyan children (n = 144, 3–36 months) with discrete non-SMA and SMA phenotypes. Leukocyte associated immunoglobulin like receptor 1 (LAIR1) emerged as a predictor of susceptibility to SMA (P < 1 × 10(−2), OR: 0.44–1.37), and was suppressed in severe disease (−1.69-fold, P = 0.004). To extend these findings, the relationship between LAIR1 polymorphisms [rs6509867 (16231C>A); rs2287827 (18835G>A)] and clinical outcomes were investigated in individuals (n = 1512, <5 years) at enrolment and during a 36-month longitudinal follow-up. FINDINGS: Inheritance of the 16,231 recessive genotype (AA) increased susceptibility to SMA at enrolment (OR = 1.903, 95%CI: 1.252–2.891, P = 0.003), and longitudinally (RR = 1.527, 95%CI: 1.119–2.083, P = 0.008). Carriage of the 18,835 GA genotype protected against SMA cross-sectionally (OR = 0.672, 95%CI: 0.480–0.9439, P = 0.020). Haplotype carriage (C16231A/G18835A) also altered cross-sectional susceptibility to SMA: CG (OR = 0.717, 95%CI: 0.527–0.9675, P = 0.034), CA (OR = 0.745, 95%CI: 0.536–1.036, P = 0.080), and AG (OR = 1.641, 95%CI: 1.160–2.321, P = 0.005). Longitudinally, CA carriage was protective against SMA (RR = 0.715, 95%CI: 0.554–0.923, P = 0.010), while AG carriage had an additive effect on enhanced SMA risk (RR = 1.283, 95%CI: 1.057–1.557, P = 0.011). Variants that protected against SMA had elevated LAIR1 transcripts, while those with enhanced risk had lower expression (P < 0.05). Inheritance of 18,835 GA reduced all-cause mortality by 44.8% (HR = 0.552, 95%CI: 0.329–0.925, P = 0.024), while AG haplotype carriage increased susceptibility by 68% (HR = 1.680, 95%CI: 1.020–2.770, P = 0.040). INTERPRETATION: These findings suggest LAIR1 is important for modulating susceptibility to SMA and all-cause childhood mortality. Elsevier 2019-07-02 /pmc/articles/PMC6642287/ /pubmed/31278068 http://dx.doi.org/10.1016/j.ebiom.2019.06.043 Text en © 2019 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Achieng, Angela O.
Hengartner, Nicolas W.
Raballah, Evans
Cheng, Qiuying
Anyona, Samuel B.
Lauve, Nick
Guyah, Bernard
Foo-Hurwitz, Ivy
Ong'echa, John M.
McMahon, Benjamin H.
Ouma, Collins
Lambert, Christophe G.
Perkins, Douglas J.
Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title_full Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title_fullStr Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title_full_unstemmed Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title_short Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
title_sort integrated omics platforms identify lair1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in kenyan children
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642287/
https://www.ncbi.nlm.nih.gov/pubmed/31278068
http://dx.doi.org/10.1016/j.ebiom.2019.06.043
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