Literature DB >> 1713910

Beta s-gene-cluster haplotypes in sickle cell anemia. Clinical and hematologic features.

D R Powars1.   

Abstract

Identification of the beta s-gene-cluster haplotype and alpha-gene status provides a useful tool for the detection of the high-risk SS patient. The DNA polymorphisms of the beta s-gene-cluster modulate the clinical course in sickle cell anemia, especially as it involves the risk of end stage organ failure of the kidney, lung, brain, eyes, bones, and leg ulcers. This is schematically represented in Figure 4. The disease severity is modified according to the beta s-gene-cluster haplotypes and the co-inheritance of alpha-thalassemia-2. In both Africa and America, the CAR beta s haplotype increases the risk of developing an irreversible complication at an early age. The rate of progression of organ damage is regulated by the beta s-cluster haplotype from birth. The preservation of G gamma Hb F is haplotype dependent and correlates with the overall clinical course of the patient. Further modulation of the clinical course with the co-inheritance of alpha-thalassemia-2 tends to decrease the risk of soft-tissue organ failure and increase the risk of osteonecrosis. Epidemiologic studies in Africa together with clinical correlative analysis in Southern California show that SS patients with a Ben haplotype have a less severe illness than those with a CAR and a more severe illness than those with a Sen. A single individual can be expected to fit into the overall pattern. Some sickle related illness will eventually occur in all. The variable clinical manifestations in sickle cell anemia are modified according to the interaction of alpha gene deletions and the beta s-gene-cluster haplotype, are distinct for each organ, and markedly influence the age of onset of end stage major organ failure. In the presence of a Senegal haplotype, the patient's health is better; with the CAR haplotype, it is always worse; severity is intermediate in the Benin haplotype.

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Year:  1991        PMID: 1713910

Source DB:  PubMed          Journal:  Hematol Oncol Clin North Am        ISSN: 0889-8588            Impact factor:   3.722


  19 in total

1.  Genetic predictors for stroke in children with sickle cell anemia.

Authors:  Jonathan M Flanagan; Denise M Frohlich; Thad A Howard; William H Schultz; Catherine Driscoll; Ramamoorthy Nagasubramanian; Nicole A Mortier; Amy C Kimble; Banu Aygun; Robert J Adams; Ronald W Helms; Russell E Ware
Journal:  Blood       Date:  2011-04-22       Impact factor: 22.113

2.  Co-inheritance of a-thalassemia dramatically decreases the risk of acute splenic sequestration in a large cohort of newborns with hemoglobin SC.

Authors:  Paulo V Rezende; André R Belisário; Érica L Oliveira; Jéssica A Almeida; Larissa M M Oliveira; Maristela B S R Muniz; Marcos B Viana
Journal:  Haematologica       Date:  2019-01-10       Impact factor: 9.941

3.  Inheritance of the Bantu/Benin haplotype causes less severe hemolytic and oxidative stress in sickle cell anemia patients treated with hydroxycarbamide.

Authors:  Jéssika V Okumura; Danilo G H Silva; Lidiane S Torres; Edis Belini-Junior; Willian M Barberino; Renan G Oliveira; Gisele C S Carrocini; Gabriela B Gelaleti; Clarisse L C Lobo; Claudia R Bonini-Domingos
Journal:  J Hum Genet       Date:  2016-03-10       Impact factor: 3.172

Review 4.  Sickle cell disease in Africa: burden and research priorities.

Authors:  J Makani; T N Williams; K Marsh
Journal:  Ann Trop Med Parasitol       Date:  2007-01

5.  Acute chest syndrome is associated with single nucleotide polymorphism-defined beta globin cluster haplotype in children with sickle cell anaemia.

Authors:  Christopher J Bean; Sheree L Boulet; Genyan Yang; Amanda B Payne; Nafisa Ghaji; Meredith E Pyle; W Craig Hooper; Pallav Bhatnagar; Jeffrey Keefer; Emily A Barron-Casella; James F Casella; Michael R Debaun
Journal:  Br J Haematol       Date:  2013-08-16       Impact factor: 6.998

6.  Sickle cell disease in the era of precision medicine: looking to the future.

Authors:  Martin H Steinberg; Sara Kumar; George J Murphy; Kim Vanuytsel
Journal:  Expert Rev Precis Med Drug Dev       Date:  2019-11-07

7.  Biological impact of α genes, β haplotypes, and G6PD activity in sickle cell anemia at baseline and with hydroxyurea.

Authors:  Françoise Bernaudin; Cécile Arnaud; Annie Kamdem; Isabelle Hau; Françoise Lelong; Ralph Epaud; Corinne Pondarré; Serge Pissard
Journal:  Blood Adv       Date:  2018-03-27

8.  A study on the genotype frequency of -158 Gγ (C→T) Xmn1 polymorphism in a sickle cell trait cohort from Siwa Oasis, Egypt.

Authors:  Pacint Moez; Reham Moftah; Hayam A Mahmoud
Journal:  J Genet       Date:  2018-06       Impact factor: 1.166

9.  A network model to predict the risk of death in sickle cell disease.

Authors:  Paola Sebastiani; Vikki G Nolan; Clinton T Baldwin; Maria M Abad-Grau; Ling Wang; Adeboye H Adewoye; Lillian C McMahon; Lindsay A Farrer; James G Taylor; Gregory J Kato; Mark T Gladwin; Martin H Steinberg
Journal:  Blood       Date:  2007-06-28       Impact factor: 22.113

10.  Determination of β haplotypes in patients with sickle-cell anemia in the state of Rio Grande do Norte, Brazil.

Authors:  Cynthia Hatsue Kitayama Cabral; Edvis Santos Soares Serafim; Waleska Rayane Dantas Bezerra de Medeiros; Thales Allyrio Araújo de Medeiros Fernandes; Elza Miyuki Kimura; Fernando Ferreira Costa; Maria de Fátima Sonati; Ivanise Marina Moretti Rebecchi; Tereza Maria Dantas de Medeiros
Journal:  Genet Mol Biol       Date:  2011-07-01       Impact factor: 1.771

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