Literature DB >> 22271886

Genetic modifiers of β-thalassemia and clinical severity as assessed by age at first transfusion.

Fabrice Danjou1, Franco Anni, Lucia Perseu, Stefania Satta, Carlo Dessì, Maria Eliana Lai, Paolo Fortina, Marcella Devoto, Renzo Galanello.   

Abstract

BACKGROUND: The clinical and hematologic features of β-thalassemia are modulated by different factors, resulting in a wide range of clinical severity. The main factors are the type of disease-causing mutation and the ability to produce α-globin and γ-globin chains. In the present study we investigated the respective contributions of known modifiers to the prediction of the clinical severity of β-thalassemia as assessed by the patients' age at first transfusion. DESIGN AND METHODS: We studied the effect of seven loci in a cohort of 316 Sardinian patients with β(0)-thalassemia. In addition to characterizing the β-globin gene mutations, α-globin gene defects and HBG2:g.-158C>T polymorphism, we genotyped two different markers in the BCL11A gene and three in the HBS1L-MYB intergenic region using single nucleotide polymorphism microarrays, imputation and direct genotyping. We performed Cox proportional hazard analysis of the time to first transfusion.
RESULTS: According to the resulting model, we were able to explain phenotypic severity to a large extent (Harrell's concordance index=0.72; Cox & Snell R(2)=0.394) and demonstrated that most of the model's discriminatory ability is attributable to the genetic variants affecting fetal hemoglobin production (HBG2:g.-158C>T, BCL11A and HBS1L-MYB loci: C-index=0.68, R(2)=0.272), while the remaining is due to α-globin gene defects and gender. Consequently, significantly distinct survival curves can be described in our population.
CONCLUSIONS: This detailed analysis clarifies the impact of genetic modifiers on the clinical severity of the disease, measured by time to first transfusion, by determining their relative contributions in a homogeneous cohort of β(0)-thalassemia patients. It may also support clinical decisions regarding the beginning of transfusion therapy in patients with β-thalassemia.

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Year:  2012        PMID: 22271886      PMCID: PMC3396667          DOI: 10.3324/haematol.2011.053504

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  22 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

2.  Fetal hemoglobin in sickle cell anemia: genome-wide association studies suggest a regulatory region in the 5' olfactory receptor gene cluster.

Authors:  Nadia Solovieff; Jacqueline N Milton; Stephen W Hartley; Richard Sherva; Paola Sebastiani; Daniel A Dworkis; Elizabeth S Klings; Lindsay A Farrer; Melanie E Garrett; Allison Ashley-Koch; Marilyn J Telen; Supan Fucharoen; Shau Yin Ha; Chi-Kong Li; David H K Chui; Clinton T Baldwin; Martin H Steinberg
Journal:  Blood       Date:  2009-12-16       Impact factor: 22.113

3.  A 3-bp deletion in the HBS1L-MYB intergenic region on chromosome 6q23 is associated with HbF expression.

Authors:  John J Farrell; Richard M Sherva; Zhi-Yi Chen; Hong-Yuan Luo; Benjamin F Chu; Shau Yin Ha; Chi Kong Li; Anselm C W Lee; Rever C H Li; Chi Keung Li; Hui Leung Yuen; Jason C C So; Edmond S K Ma; Li Chong Chan; Vivian Chan; Paola Sebastiani; Lindsay A Farrer; Clinton T Baldwin; Martin H Steinberg; David H K Chui
Journal:  Blood       Date:  2011-03-08       Impact factor: 22.113

4.  Polymerase chain reaction amplification applied to the determination of beta-like globin gene cluster haplotypes.

Authors:  M Sutton; E E Bouhassira; R L Nagel
Journal:  Am J Hematol       Date:  1989-09       Impact factor: 10.047

5.  DNA polymorphisms at the BCL11A, HBS1L-MYB, and beta-globin loci associate with fetal hemoglobin levels and pain crises in sickle cell disease.

Authors:  Guillaume Lettre; Vijay G Sankaran; Marcos André C Bezerra; Aderson S Araújo; Manuela Uda; Serena Sanna; Antonio Cao; David Schlessinger; Fernando F Costa; Joel N Hirschhorn; Stuart H Orkin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-30       Impact factor: 11.205

6.  BCL11A is a major HbF quantitative trait locus in three different populations with beta-hemoglobinopathies.

Authors:  Amanda E Sedgewick; Nadia Timofeev; Paola Sebastiani; Jason C C So; Edmond S K Ma; Li Chong Chan; Goonnapa Fucharoen; Supan Fucharoen; Cynara G Barbosa; Badri N Vardarajan; Lindsay A Farrer; Clinton T Baldwin; Martin H Steinberg; David H K Chui
Journal:  Blood Cells Mol Dis       Date:  2008-08-08       Impact factor: 3.039

7.  Amelioration of Sardinian beta0 thalassemia by genetic modifiers.

Authors:  Renzo Galanello; Serena Sanna; Lucia Perseu; Maria Carla Sollaino; Stefania Satta; Maria Eliana Lai; Susanna Barella; Manuela Uda; Gianluca Usala; Goncalo R Abecasis; Antonio Cao
Journal:  Blood       Date:  2009-08-20       Impact factor: 22.113

8.  Thalassaemia intermedia: an update.

Authors:  Ali T Taher; Khaled M Musallam; Maria D Cappellini
Journal:  Mediterr J Hematol Infect Dis       Date:  2009-08-29       Impact factor: 2.576

9.  Genetic variation on chromosome 6 influences F cell levels in healthy individuals of African descent and HbF levels in sickle cell patients.

Authors:  Lisa E Creary; Pinar Ulug; Stephan Menzel; Colin A McKenzie; Neil A Hanchard; Veronica Taylor; Martin Farrall; Terrence E Forrester; Swee Lay Thein
Journal:  PLoS One       Date:  2009-01-16       Impact factor: 3.240

10.  Alpha-thalassemia carrier identification by DNA analysis in the screening for thalassemia.

Authors:  R Galanello; C Sollaino; E Paglietti; S Barella; C Perra; I Doneddu; M G Pirroni; L Maccioni; A Cao
Journal:  Am J Hematol       Date:  1998-12       Impact factor: 10.047

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  14 in total

Review 1.  Regulation of the fetal hemoglobin silencing factor BCL11A.

Authors:  Anindita Basak; Vijay G Sankaran
Journal:  Ann N Y Acad Sci       Date:  2016-03-09       Impact factor: 5.691

Review 2.  Molecular basis of β thalassemia and potential therapeutic targets.

Authors:  Swee Lay Thein
Journal:  Blood Cells Mol Dis       Date:  2017-06-20       Impact factor: 3.039

Review 3.  The transfusion management of beta thalassemia in the United States.

Authors:  Ashutosh Lal; Trisha Wong; Siobán Keel; Monica Pagano; Jong Chung; Aditi Kamdar; Latha Rao; Alan Ikeda; Geetha Puthenveetil; Sanjay Shah; Jennifer Yu; Elliott Vichinsky
Journal:  Transfusion       Date:  2021-08-28       Impact factor: 3.337

4.  A genetic score for the prediction of beta-thalassemia severity.

Authors:  Fabrice Danjou; Marcella Francavilla; Franco Anni; Stefania Satta; Franca-Rosa Demartis; Lucia Perseu; Matteo Manca; Maria Carla Sollaino; Laura Manunza; Elisabetta Mereu; Giuseppe Marceddu; Serge Pissard; Philippe Joly; Isabelle Thuret; Raffaella Origa; Joseph Borg; Gian Luca Forni; Antonio Piga; Maria Eliana Lai; Catherine Badens; Paolo Moi; Renzo Galanello
Journal:  Haematologica       Date:  2014-12-05       Impact factor: 9.941

Review 5.  Non-transfusion-dependent thalassemias.

Authors:  Khaled M Musallam; Stefano Rivella; Elliott Vichinsky; Eliezer A Rachmilewitz
Journal:  Haematologica       Date:  2013-06       Impact factor: 9.941

6.  Genotyping of BCL11A and HBS1L-MYB SNPs associated with fetal haemoglobin levels: a SNaPshot minisequencing approach.

Authors:  Pavlos Fanis; Ioanna Kousiappa; Marios Phylactides; Marina Kleanthous
Journal:  BMC Genomics       Date:  2014-02-06       Impact factor: 3.969

7.  Thalassemia Major and Intermedia Patients in East Java do not Show Fetal Hemoglobin Level Difference in Relation to XMNI Polymorphism.

Authors:  Retno Dwi Wulandari; Diana Lyrawati; Fatchiyah Fatchiyah; Loeki Enggar Fitri
Journal:  Med Arch       Date:  2020-04

8.  HBG2 -158 (C>T) polymorphism and its contribution to fetal hemoglobin variability in Iraqi Kurds with beta-thalassemia minor.

Authors:  Dilan J Albarawi; Amer A Balatay; Nasir Al-Allawi
Journal:  J Lab Physicians       Date:  2018 Oct-Dec

9.  Genome-wide association analyses based on whole-genome sequencing in Sardinia provide insights into regulation of hemoglobin levels.

Authors:  Fabrice Danjou; Magdalena Zoledziewska; Carlo Sidore; Maristella Steri; Fabio Busonero; Andrea Maschio; Antonella Mulas; Lucia Perseu; Susanna Barella; Eleonora Porcu; Giorgio Pistis; Maristella Pitzalis; Mauro Pala; Stephan Menzel; Sarah Metrustry; Timothy D Spector; Lidia Leoni; Andrea Angius; Manuela Uda; Paolo Moi; Swee Lay Thein; Renzo Galanello; Gonçalo R Abecasis; David Schlessinger; Serena Sanna; Francesco Cucca
Journal:  Nat Genet       Date:  2015-09-14       Impact factor: 38.330

10.  IthaGenes: an interactive database for haemoglobin variations and epidemiology.

Authors:  Petros Kountouris; Carsten W Lederer; Pavlos Fanis; Xenia Feleki; John Old; Marina Kleanthous
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

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