Literature DB >> 16567954

Modifier genes and sickle cell anemia.

Martin H Steinberg1, Adeboye H Adewoye.   

Abstract

PURPOSE OF REVIEW: With the completion of the human genome project and HapMap, previously unknown genetic polymorphisms associated with disease have been observed. This review highlights genetic polymorphisms that have provided insight into the pathophysiology underlying the many phenotypes of sickle cell disease. RECENT
FINDINGS: The phenotypes of sickle cell disease are likely to be modulated by polymorphisms in genes that are involved in inflammation, cell-cell interaction, and nitric oxide biology. Case-control studies are beginning to define the relationships between single-nucleotide polymorphisms in candidate genes and the many subphenotypes of sickle cell anemia. A common theme emerging from these studies is that single-nucleotide polymorphisms in genes of the transforming growth factor-beta/bone morphogenetic protein and a few other genes such as Klotho are associated with several subphenotypes of sickle cell disease.
SUMMARY: Genomic medicine is merging with clinical practice as our understanding of the structure and variability of the human genome increases. Patients with diseases caused by identical mutations in a single gene - sickle cell anemia is a prime example - can have clinical courses very different from one another, and when environmental influences are removed the phenotypic heterogeneity of mendelian single-gene disorders is best explained by single-nucleotide polymorphisms in genes that modulate the disease phenotype. As this field expands, insights will be gained into complex epistatic factors that influence the clinical presentation of sickle cell disease, enabling physicians to better predict and manage the many complications of this disease.

Entities:  

Mesh:

Year:  2006        PMID: 16567954     DOI: 10.1097/01.moh.0000219656.50291.73

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.284


  21 in total

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Authors:  Elizabeth T Cirulli; David B Goldstein
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

Review 2.  Genome-wide association studies and the genetic dissection of complex traits.

Authors:  Paola Sebastiani; Nadia Timofeev; Daniel A Dworkis; Thomas T Perls; Martin H Steinberg
Journal:  Am J Hematol       Date:  2009-08       Impact factor: 10.047

3.  Novel susceptibility loci for Alzheimer's disease.

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Journal:  Age (Dordr)       Date:  2011-06-22

Review 5.  Rare and common variants: twenty arguments.

Authors:  Greg Gibson
Journal:  Nat Rev Genet       Date:  2012-01-18       Impact factor: 53.242

6.  Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype.

Authors:  A Driss; K O Asare; J M Hibbert; B E Gee; T V Adamkiewicz; J K Stiles
Journal:  Genomics Insights       Date:  2009-07-30

7.  Genetic and biochemical markers of hydroxyurea therapeutic response in sickle cell anemia.

Authors:  Danilo Grunig Humberto Silva; Edis Belini Junior; Gisele Cristine de Souza Carrocini; Lidiane de Souza Torres; Octávio Ricci Júnior; Clarisse Lopes de Castro Lobo; Claudia Regina Bonini-Domingos; Eduardo Alves de Almeida
Journal:  BMC Med Genet       Date:  2013-10-09       Impact factor: 2.103

8.  Early modification of sickle cell disease clinical course by UDP-glucuronosyltransferase 1A1 gene promoter polymorphism.

Authors:  Rute Martins; Anabela Morais; Alexandra Dias; Isabel Soares; Cristiana Rolão; J L Ducla-Soares; Lígia Braga; Teresa Seixas; Baltazar Nunes; Gabriel Olim; Luísa Romão; João Lavinha; Paula Faustino
Journal:  J Hum Genet       Date:  2008-04-05       Impact factor: 3.172

9.  Modeling factors critical for implementation of precision medicine at health systems-level: an IRT approach.

Authors:  John Jo Mogaka; Moses J Chimbari
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

10.  Detection and impact of rare regulatory variants in human disease.

Authors:  Xin Li; Stephen B Montgomery
Journal:  Front Genet       Date:  2013-05-31       Impact factor: 4.599

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