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Haptoglobin gene polymorphism and iron profile in sickle cell disease patients with inflammation in Yaounde, Cameroon

Background Major sickle cell syndromes are the most common hemoglobinopathy in the world. The sickle cell patients are subjected to several factors causing inflammation, and the genetic identification of each individual allows to focus the possibility of allelic variations influence of a specific ge...

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Published in:Molecular genetics & genomic medicine 2024-01, Vol.12 (1), p.e2302-n/a
Main Authors: Tuono, Romaric De Manfouo, Simo, Josué Louokdom, Nya, Prosper Cabral Biapa, Chedjou, Jean Paul, Fotsing, Christian Bernard Kengne, Chetcha, Bernard Claude, Tah, Calvino Fomboh, Tayou, Claude Tagny, Mbatcham, Wilfried Fon, Pieme, Constant Anatole
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Simo, Josué Louokdom
Nya, Prosper Cabral Biapa
Chedjou, Jean Paul
Fotsing, Christian Bernard Kengne
Chetcha, Bernard Claude
Tah, Calvino Fomboh
Tayou, Claude Tagny
Mbatcham, Wilfried Fon
Pieme, Constant Anatole
description Background Major sickle cell syndromes are the most common hemoglobinopathy in the world. The sickle cell patients are subjected to several factors causing inflammation, and the genetic identification of each individual allows to focus the possibility of allelic variations influence of a specific gene and then the polymorphism. This study aims at determining the distribution of HP gene (OMIM#140100) and their involvement on hematological parameters and the iron profile in the sickle cell patients presenting an inflammation condition during major sickle cell syndromes in Cameroun. Methods A case–control analytical study has been conducted over a period of 6 months. Cases consisting of sickle cell patients in a situation of inflammation and control of non‐inflamed sickle cell patients. The patients presenting major sickle cell syndromes, interned and/or followed at the Hematology Department of the Regional Hospital of Bafoussam and the Central Hospital of Yaoundé have been recruited. HP genotyping was carried out at the Laboratory for Public Health Research Biotechnologies (LAPHER‐Biotech) in Yaoundé using allele‐specific PCR. Also, inflammatory, hematological parameters and martial assessment were explored by standard methods. Statistical analysis of the data was performed using the statistical tool R version 4.1.1. The comparison of proportions of alleles was made with the chi‐square test, and the Wilcoxon test was used to compare the median between different groups using the statistical tool R version 4.1.1. Results We analyzed the samples of 149 patients. The HP polymorphism describes a significant frequency of the “1F” allele (69.8%) followed by the “2” allele (46.31%). In addition, 80 patients (53.69%), 48 (32.21%), and 21 (14.09%) presented the genotype HP 1‐1, HP 2‐1, and HP 2‐2, respectively. And eighty‐one percent (81%) patients with genotype HP 2‐2 showed a significant higher relative frequency of thrombocytosis compared with the genotype HP 1‐1 and HP 2‐1, respectively (51.2% and 68.8%, p = 0.087). The proportion of inflammation in the HP 2‐2 group was higher (57.1%) compared with the other groups (respectively 42.5% and 35.4% in the HP 1‐1 and HP 2‐1 groups). Furthermore, the median CRP was significantly higher in the HP 2‐2 group compared with the other groups (p = 0.039). Moreover, the entire population of the HP 2‐2 group showed an elevation of ferritin and IL6 unlike the HP 1‐1 and HP 2‐1 groups. Conclusion This study demonstrates a higher f
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The sickle cell patients are subjected to several factors causing inflammation, and the genetic identification of each individual allows to focus the possibility of allelic variations influence of a specific gene and then the polymorphism. This study aims at determining the distribution of HP gene (OMIM#140100) and their involvement on hematological parameters and the iron profile in the sickle cell patients presenting an inflammation condition during major sickle cell syndromes in Cameroun. Methods A case–control analytical study has been conducted over a period of 6 months. Cases consisting of sickle cell patients in a situation of inflammation and control of non‐inflamed sickle cell patients. The patients presenting major sickle cell syndromes, interned and/or followed at the Hematology Department of the Regional Hospital of Bafoussam and the Central Hospital of Yaoundé have been recruited. HP genotyping was carried out at the Laboratory for Public Health Research Biotechnologies (LAPHER‐Biotech) in Yaoundé using allele‐specific PCR. Also, inflammatory, hematological parameters and martial assessment were explored by standard methods. Statistical analysis of the data was performed using the statistical tool R version 4.1.1. The comparison of proportions of alleles was made with the chi‐square test, and the Wilcoxon test was used to compare the median between different groups using the statistical tool R version 4.1.1. Results We analyzed the samples of 149 patients. The HP polymorphism describes a significant frequency of the “1F” allele (69.8%) followed by the “2” allele (46.31%). In addition, 80 patients (53.69%), 48 (32.21%), and 21 (14.09%) presented the genotype HP 1‐1, HP 2‐1, and HP 2‐2, respectively. And eighty‐one percent (81%) patients with genotype HP 2‐2 showed a significant higher relative frequency of thrombocytosis compared with the genotype HP 1‐1 and HP 2‐1, respectively (51.2% and 68.8%, p = 0.087). The proportion of inflammation in the HP 2‐2 group was higher (57.1%) compared with the other groups (respectively 42.5% and 35.4% in the HP 1‐1 and HP 2‐1 groups). Furthermore, the median CRP was significantly higher in the HP 2‐2 group compared with the other groups (p = 0.039). Moreover, the entire population of the HP 2‐2 group showed an elevation of ferritin and IL6 unlike the HP 1‐1 and HP 2‐1 groups. Conclusion This study demonstrates a higher frequency of genotype HP 1‐1 followed by the HP 2‐2 genotype in patients with major sickle cell syndromes. However, a larger proportion of patients with genotype HP 2‐2 are associated with hematological profile disorders, inflammation, and dysregulation of iron metabolism. Then, the haptoglobin polymorphism contributes to the severity of major sickle cell syndromes.</description><identifier>ISSN: 2324-9269</identifier><identifier>EISSN: 2324-9269</identifier><identifier>DOI: 10.1002/mgg3.2302</identifier><identifier>PMID: 37970725</identifier><language>eng</language><publisher>United States: John Wiley &amp; Sons, Inc</publisher><subject>Alleles ; Anemia ; Anemia, Sickle Cell - genetics ; Biotechnology ; Cameroon ; Chi-square test ; Cytokines ; Disorders ; Ferritin ; Gene polymorphism ; Genotyping ; Haptoglobin ; haptoglobin polymorphism ; Haptoglobins - genetics ; hematological profile ; Hematology ; Hemoglobin ; Hemoglobinopathy ; Hospitals ; Humans ; Inflammation ; Inflammation - genetics ; Iron ; Iron - analysis ; Iron - metabolism ; Laboratories ; major sickle cell syndrome ; Mathematical analysis ; Medical research ; Parameters ; Patients ; Polymorphism ; Polymorphism, Genetic ; Proteins ; Public health ; serum iron ; Sickle cell disease ; Statistical analysis ; Statistical methods ; Statistics ; Thrombocytosis</subject><ispartof>Molecular genetics &amp; genomic medicine, 2024-01, Vol.12 (1), p.e2302-n/a</ispartof><rights>2023 The Authors. published by Wiley Periodicals LLC.</rights><rights>2023 The Authors. Molecular Genetics &amp; Genomic Medicine published by Wiley Periodicals LLC.</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4692-c1cc2d994cb53f959b8511232ebbbc523697a32edad180e1e866c69c630cdd663</cites><orcidid>0000-0002-2867-0538 ; 0000-0003-1602-6494</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2919316803/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2919316803?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11562,25753,27924,27925,37012,37013,44590,46052,46476,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37970725$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tuono, Romaric De Manfouo</creatorcontrib><creatorcontrib>Simo, Josué Louokdom</creatorcontrib><creatorcontrib>Nya, Prosper Cabral Biapa</creatorcontrib><creatorcontrib>Chedjou, Jean Paul</creatorcontrib><creatorcontrib>Fotsing, Christian Bernard Kengne</creatorcontrib><creatorcontrib>Chetcha, Bernard Claude</creatorcontrib><creatorcontrib>Tah, Calvino Fomboh</creatorcontrib><creatorcontrib>Tayou, Claude Tagny</creatorcontrib><creatorcontrib>Mbatcham, Wilfried Fon</creatorcontrib><creatorcontrib>Pieme, Constant Anatole</creatorcontrib><title>Haptoglobin gene polymorphism and iron profile in sickle cell disease patients with inflammation in Yaounde, Cameroon</title><title>Molecular genetics &amp; genomic medicine</title><addtitle>Mol Genet Genomic Med</addtitle><description>Background Major sickle cell syndromes are the most common hemoglobinopathy in the world. The sickle cell patients are subjected to several factors causing inflammation, and the genetic identification of each individual allows to focus the possibility of allelic variations influence of a specific gene and then the polymorphism. This study aims at determining the distribution of HP gene (OMIM#140100) and their involvement on hematological parameters and the iron profile in the sickle cell patients presenting an inflammation condition during major sickle cell syndromes in Cameroun. Methods A case–control analytical study has been conducted over a period of 6 months. Cases consisting of sickle cell patients in a situation of inflammation and control of non‐inflamed sickle cell patients. The patients presenting major sickle cell syndromes, interned and/or followed at the Hematology Department of the Regional Hospital of Bafoussam and the Central Hospital of Yaoundé have been recruited. HP genotyping was carried out at the Laboratory for Public Health Research Biotechnologies (LAPHER‐Biotech) in Yaoundé using allele‐specific PCR. Also, inflammatory, hematological parameters and martial assessment were explored by standard methods. Statistical analysis of the data was performed using the statistical tool R version 4.1.1. The comparison of proportions of alleles was made with the chi‐square test, and the Wilcoxon test was used to compare the median between different groups using the statistical tool R version 4.1.1. Results We analyzed the samples of 149 patients. The HP polymorphism describes a significant frequency of the “1F” allele (69.8%) followed by the “2” allele (46.31%). In addition, 80 patients (53.69%), 48 (32.21%), and 21 (14.09%) presented the genotype HP 1‐1, HP 2‐1, and HP 2‐2, respectively. And eighty‐one percent (81%) patients with genotype HP 2‐2 showed a significant higher relative frequency of thrombocytosis compared with the genotype HP 1‐1 and HP 2‐1, respectively (51.2% and 68.8%, p = 0.087). The proportion of inflammation in the HP 2‐2 group was higher (57.1%) compared with the other groups (respectively 42.5% and 35.4% in the HP 1‐1 and HP 2‐1 groups). Furthermore, the median CRP was significantly higher in the HP 2‐2 group compared with the other groups (p = 0.039). Moreover, the entire population of the HP 2‐2 group showed an elevation of ferritin and IL6 unlike the HP 1‐1 and HP 2‐1 groups. Conclusion This study demonstrates a higher frequency of genotype HP 1‐1 followed by the HP 2‐2 genotype in patients with major sickle cell syndromes. However, a larger proportion of patients with genotype HP 2‐2 are associated with hematological profile disorders, inflammation, and dysregulation of iron metabolism. Then, the haptoglobin polymorphism contributes to the severity of major sickle cell syndromes.</description><subject>Alleles</subject><subject>Anemia</subject><subject>Anemia, Sickle Cell - genetics</subject><subject>Biotechnology</subject><subject>Cameroon</subject><subject>Chi-square test</subject><subject>Cytokines</subject><subject>Disorders</subject><subject>Ferritin</subject><subject>Gene polymorphism</subject><subject>Genotyping</subject><subject>Haptoglobin</subject><subject>haptoglobin polymorphism</subject><subject>Haptoglobins - genetics</subject><subject>hematological profile</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>Hemoglobinopathy</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - genetics</subject><subject>Iron</subject><subject>Iron - analysis</subject><subject>Iron - metabolism</subject><subject>Laboratories</subject><subject>major sickle cell syndrome</subject><subject>Mathematical analysis</subject><subject>Medical research</subject><subject>Parameters</subject><subject>Patients</subject><subject>Polymorphism</subject><subject>Polymorphism, Genetic</subject><subject>Proteins</subject><subject>Public health</subject><subject>serum iron</subject><subject>Sickle cell disease</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Thrombocytosis</subject><issn>2324-9269</issn><issn>2324-9269</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp1kc1KJDEUhYOMjNL2Yl5AArOZAVvzU5WqLIfG6RYUN7pwFVJJqjtaSWqSKqTf3pStMghmk3vDdw8n9wDwA6NzjBC5cJsNPScUkQNwTCgpFpww_u2_-gjMU3pE-dR1gVn1HRzRileoIuUxGNeyH8KmC431cGO8gX3odi7EfmuTg9JraGPwsI-htZ2BmUpWPeVKma6D2iYjUx6SgzV-SPDZDtsMtZ10Lr_lyTzxIMPotTmDS-lMDMGfgMNWdsnM3-4ZuP97ebdcL65vV1fLP9cLVTBOFgorRTTnhWpK2vKSN3WJcf6YaZpGlYQyXsncaalxjQw2NWOKccUoUlozRmfg11432_83mjQIZ9NkXHoTxiRIzVFVsgJN6M9P6GMYo8_uBOGYU8xqRDP1e0-pGFKKphV9tE7GncBITHGIKQ4xxZHZ0zfFsXFGf5Dvy8_AxR54zpvdfa0kblYr-ir5ApRRlHw</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Tuono, Romaric De Manfouo</creator><creator>Simo, Josué Louokdom</creator><creator>Nya, Prosper Cabral Biapa</creator><creator>Chedjou, Jean Paul</creator><creator>Fotsing, Christian Bernard Kengne</creator><creator>Chetcha, Bernard Claude</creator><creator>Tah, Calvino Fomboh</creator><creator>Tayou, Claude Tagny</creator><creator>Mbatcham, Wilfried Fon</creator><creator>Pieme, Constant Anatole</creator><general>John Wiley &amp; 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Nya, Prosper Cabral Biapa ; Chedjou, Jean Paul ; Fotsing, Christian Bernard Kengne ; Chetcha, Bernard Claude ; Tah, Calvino Fomboh ; Tayou, Claude Tagny ; Mbatcham, Wilfried Fon ; Pieme, Constant Anatole</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4692-c1cc2d994cb53f959b8511232ebbbc523697a32edad180e1e866c69c630cdd663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alleles</topic><topic>Anemia</topic><topic>Anemia, Sickle Cell - genetics</topic><topic>Biotechnology</topic><topic>Cameroon</topic><topic>Chi-square test</topic><topic>Cytokines</topic><topic>Disorders</topic><topic>Ferritin</topic><topic>Gene polymorphism</topic><topic>Genotyping</topic><topic>Haptoglobin</topic><topic>haptoglobin polymorphism</topic><topic>Haptoglobins - genetics</topic><topic>hematological profile</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>Hemoglobinopathy</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Inflammation - genetics</topic><topic>Iron</topic><topic>Iron - analysis</topic><topic>Iron - metabolism</topic><topic>Laboratories</topic><topic>major sickle cell syndrome</topic><topic>Mathematical analysis</topic><topic>Medical research</topic><topic>Parameters</topic><topic>Patients</topic><topic>Polymorphism</topic><topic>Polymorphism, Genetic</topic><topic>Proteins</topic><topic>Public health</topic><topic>serum iron</topic><topic>Sickle cell disease</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Thrombocytosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tuono, Romaric De Manfouo</creatorcontrib><creatorcontrib>Simo, Josué Louokdom</creatorcontrib><creatorcontrib>Nya, Prosper Cabral Biapa</creatorcontrib><creatorcontrib>Chedjou, Jean Paul</creatorcontrib><creatorcontrib>Fotsing, Christian Bernard Kengne</creatorcontrib><creatorcontrib>Chetcha, Bernard Claude</creatorcontrib><creatorcontrib>Tah, Calvino Fomboh</creatorcontrib><creatorcontrib>Tayou, Claude Tagny</creatorcontrib><creatorcontrib>Mbatcham, Wilfried Fon</creatorcontrib><creatorcontrib>Pieme, Constant Anatole</creatorcontrib><collection>Wiley Open Access</collection><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular genetics &amp; genomic medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tuono, Romaric De Manfouo</au><au>Simo, Josué Louokdom</au><au>Nya, Prosper Cabral Biapa</au><au>Chedjou, Jean Paul</au><au>Fotsing, Christian Bernard Kengne</au><au>Chetcha, Bernard Claude</au><au>Tah, Calvino Fomboh</au><au>Tayou, Claude Tagny</au><au>Mbatcham, Wilfried Fon</au><au>Pieme, Constant Anatole</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Haptoglobin gene polymorphism and iron profile in sickle cell disease patients with inflammation in Yaounde, Cameroon</atitle><jtitle>Molecular genetics &amp; genomic medicine</jtitle><addtitle>Mol Genet Genomic Med</addtitle><date>2024-01</date><risdate>2024</risdate><volume>12</volume><issue>1</issue><spage>e2302</spage><epage>n/a</epage><pages>e2302-n/a</pages><issn>2324-9269</issn><eissn>2324-9269</eissn><abstract>Background Major sickle cell syndromes are the most common hemoglobinopathy in the world. The sickle cell patients are subjected to several factors causing inflammation, and the genetic identification of each individual allows to focus the possibility of allelic variations influence of a specific gene and then the polymorphism. This study aims at determining the distribution of HP gene (OMIM#140100) and their involvement on hematological parameters and the iron profile in the sickle cell patients presenting an inflammation condition during major sickle cell syndromes in Cameroun. Methods A case–control analytical study has been conducted over a period of 6 months. Cases consisting of sickle cell patients in a situation of inflammation and control of non‐inflamed sickle cell patients. The patients presenting major sickle cell syndromes, interned and/or followed at the Hematology Department of the Regional Hospital of Bafoussam and the Central Hospital of Yaoundé have been recruited. HP genotyping was carried out at the Laboratory for Public Health Research Biotechnologies (LAPHER‐Biotech) in Yaoundé using allele‐specific PCR. Also, inflammatory, hematological parameters and martial assessment were explored by standard methods. Statistical analysis of the data was performed using the statistical tool R version 4.1.1. The comparison of proportions of alleles was made with the chi‐square test, and the Wilcoxon test was used to compare the median between different groups using the statistical tool R version 4.1.1. Results We analyzed the samples of 149 patients. The HP polymorphism describes a significant frequency of the “1F” allele (69.8%) followed by the “2” allele (46.31%). In addition, 80 patients (53.69%), 48 (32.21%), and 21 (14.09%) presented the genotype HP 1‐1, HP 2‐1, and HP 2‐2, respectively. And eighty‐one percent (81%) patients with genotype HP 2‐2 showed a significant higher relative frequency of thrombocytosis compared with the genotype HP 1‐1 and HP 2‐1, respectively (51.2% and 68.8%, p = 0.087). The proportion of inflammation in the HP 2‐2 group was higher (57.1%) compared with the other groups (respectively 42.5% and 35.4% in the HP 1‐1 and HP 2‐1 groups). Furthermore, the median CRP was significantly higher in the HP 2‐2 group compared with the other groups (p = 0.039). Moreover, the entire population of the HP 2‐2 group showed an elevation of ferritin and IL6 unlike the HP 1‐1 and HP 2‐1 groups. Conclusion This study demonstrates a higher frequency of genotype HP 1‐1 followed by the HP 2‐2 genotype in patients with major sickle cell syndromes. However, a larger proportion of patients with genotype HP 2‐2 are associated with hematological profile disorders, inflammation, and dysregulation of iron metabolism. Then, the haptoglobin polymorphism contributes to the severity of major sickle cell syndromes.</abstract><cop>United States</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>37970725</pmid><doi>10.1002/mgg3.2302</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-2867-0538</orcidid><orcidid>https://orcid.org/0000-0003-1602-6494</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alleles
Anemia
Anemia, Sickle Cell - genetics
Biotechnology
Cameroon
Chi-square test
Cytokines
Disorders
Ferritin
Gene polymorphism
Genotyping
Haptoglobin
haptoglobin polymorphism
Haptoglobins - genetics
hematological profile
Hematology
Hemoglobin
Hemoglobinopathy
Hospitals
Humans
Inflammation
Inflammation - genetics
Iron
Iron - analysis
Iron - metabolism
Laboratories
major sickle cell syndrome
Mathematical analysis
Medical research
Parameters
Patients
Polymorphism
Polymorphism, Genetic
Proteins
Public health
serum iron
Sickle cell disease
Statistical analysis
Statistical methods
Statistics
Thrombocytosis
title Haptoglobin gene polymorphism and iron profile in sickle cell disease patients with inflammation in Yaounde, Cameroon
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