Literature DB >> 25480500

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

Fabrice Danjou1, Marcella Francavilla2, Franco Anni2, Stefania Satta2, Franca-Rosa Demartis2, Lucia Perseu3, Matteo Manca3, Maria Carla Sollaino3, Laura Manunza2, Elisabetta Mereu2, Giuseppe Marceddu2, Serge Pissard4, Philippe Joly5, Isabelle Thuret6, Raffaella Origa2, Joseph Borg7, Gian Luca Forni8, Antonio Piga9, Maria Eliana Lai3, Catherine Badens10, Paolo Moi11, Renzo Galanello11.   

Abstract

Clinical and hematologic characteristics of beta(β)-thalassemia are determined by several factors resulting in a wide spectrum of severity. Phenotype modulators are: HBB mutations, HBA defects and fetal hemoglobin production modulators (HBG2:g.-158C>T polymorphism, HBS1L-MYB intergenic region and the BCL11A). We characterized 54 genetic variants at these five loci robustly associated with the amelioration of beta-thalassemia phenotype, to build a predictive score of severity using a representative cohort of 890 β-thalassemic patients. Using Cox proportional hazard analysis on a training set, we assessed the effect of these loci on the age at which patient started regular transfusions, built a Thalassemia Severity Score, and validated it on a testing set. Discriminatory power of the model was high (C-index=0.705; R(2)=0.343) and the validation conducted on the testing set confirmed its predictive accuracy with transfusion-free survival probability (P<0.001) and with transfusion dependency status (Area Under the Receiver Operating Characteristic Curve=0.774; P<0.001). Finally, an automatized on-line calculation of the score was made available at http://tss.unica.it. Besides the accurate assessment of genetic predictors effect, the present results could be helpful in the management of patients, both as a predictive score for screening and a standardized scale of severity to overcome the major-intermedia dichotomy and support clinical decisions. Copyright© Ferrata Storti Foundation.

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Year:  2014        PMID: 25480500      PMCID: PMC4380717          DOI: 10.3324/haematol.2014.113886

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


  21 in total

1.  The HBS1L-MYB intergenic region on chromosome 6q23 is a quantitative trait locus controlling fetal haemoglobin level in carriers of beta-thalassaemia.

Authors:  C-C So; Y-Q Song; S T Tsang; L-F Tang; A Y Chan; E S Ma; L-C Chan
Journal:  J Med Genet       Date:  2008-08-12       Impact factor: 6.318

2.  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

3.  The -158 site 5' to the G gamma gene and G gamma expression.

Authors:  D Labie; O Dunda-Belkhodja; F Rouabhi; J Pagnier; A Ragusa; R L Nagel
Journal:  Blood       Date:  1985-12       Impact factor: 22.113

4.  Genetic influences on F cells and other hematologic variables: a twin heritability study.

Authors:  C Garner; T Tatu; J E Reittie; T Littlewood; J Darley; S Cervino; M Farrall; P Kelly; T D Spector; S L Thein
Journal:  Blood       Date:  2000-01-01       Impact factor: 22.113

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

Review 7.  The prevention of thalassemia.

Authors:  Antonio Cao; Yuet Wai Kan
Journal:  Cold Spring Harb Perspect Med       Date:  2013-02-01       Impact factor: 6.915

8.  A QTL influencing F cell production maps to a gene encoding a zinc-finger protein on chromosome 2p15.

Authors:  Stephan Menzel; Chad Garner; Ivo Gut; Fumihiko Matsuda; Masao Yamaguchi; Simon Heath; Mario Foglio; Diana Zelenika; Anne Boland; Helen Rooks; Steve Best; Tim D Spector; Martin Farrall; Mark Lathrop; Swee Lay Thein
Journal:  Nat Genet       Date:  2007-09-02       Impact factor: 38.330

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

1.  g(HbF): a genetic model of fetal hemoglobin in sickle cell disease.

Authors:  Kate Gardner; Tony Fulford; Nicholas Silver; Helen Rooks; Nikolaos Angelis; Marlene Allman; Siana Nkya; Julie Makani; Jo Howard; Rachel Kesse-Adu; David C Rees; Sara Stuart-Smith; Tullie Yeghen; Moji Awogbade; Raphael Z Sangeda; Josephine Mgaya; Hamel Patel; Stephen Newhouse; Stephan Menzel; Swee Lay Thein
Journal:  Blood Adv       Date:  2018-02-13

2.  Structural and Functional Insights on an Uncharacterized Aγ-Globin-Gene Polymorphism Present in Four β0-Thalassemia Families with High Fetal Hemoglobin Levels.

Authors:  Nicoletta Bianchi; Lucia Carmela Cosenza; Ilaria Lampronti; Alessia Finotti; Giulia Breveglieri; Cristina Zuccato; Enrica Fabbri; Giovanni Marzaro; Adriana Chilin; Gioia De Angelis; Monica Borgatti; Cristiano Gallucci; Cecilia Alfieri; Michela Ribersani; Antonella Isgrò; Marco Marziali; Javid Gaziev; Aldo Morrone; Pietro Sodani; Guido Lucarelli; Roberto Gambari; Katia Paciaroni
Journal:  Mol Diagn Ther       Date:  2016-04       Impact factor: 4.074

Review 3.  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

4.  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

5.  2SNP heritability and effects of genetic variants for neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio.

Authors:  Bochao Danae Lin; Elena Carnero-Montoro; Jordana T Bell; Dorret I Boomsma; Eco J de Geus; Rick Jansen; Cornelis Kluft; Massimo Mangino; Brenda Penninx; Tim D Spector; Gonneke Willemsen; Jouke-Jan Hottenga
Journal:  J Hum Genet       Date:  2017-08-03       Impact factor: 3.172

6.  Sideroblastic anemia: functional study of two novel missense mutations in ALAS2.

Authors:  Manuel Méndez; María-Isabel Moreno-Carralero; Marta Morado-Arias; María-Cristina Fernández-Jiménez; Silvia de la Iglesia Iñigo; María-José Morán-Jiménez
Journal:  Mol Genet Genomic Med       Date:  2016-01-13       Impact factor: 2.183

Review 7.  Genomic approaches to identifying targets for treating β hemoglobinopathies.

Authors:  Duyen A Ngo; Martin H Steinberg
Journal:  BMC Med Genomics       Date:  2015-07-29       Impact factor: 3.063

8.  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

9.  An Aγ-globin G->A gene polymorphism associated with β039 thalassemia globin gene and high fetal hemoglobin production.

Authors:  Giulia Breveglieri; Nicoletta Bianchi; Lucia Carmela Cosenza; Maria Rita Gamberini; Francesco Chiavilli; Cristina Zuccato; Giulia Montagner; Monica Borgatti; Ilaria Lampronti; Alessia Finotti; Roberto Gambari
Journal:  BMC Med Genet       Date:  2017-08-29       Impact factor: 2.103

10.  Rapid Targeted Next-Generation Sequencing Platform for Molecular Screening and Clinical Genotyping in Subjects with Hemoglobinopathies.

Authors:  Xuan Shang; Zhiyu Peng; Yuhua Ye; Xinhua Zhang; Yan Chen; Baosheng Zhu; Wangwei Cai; Shaoke Chen; Ren Cai; Xiaoling Guo; Chonglin Zhang; Yuqiu Zhou; Shuodan Huang; Yanhui Liu; Biyan Chen; Shanhuo Yan; Yajun Chen; Hongmei Ding; Xiaolin Yin; Liusong Wu; Jing He; Dongai Huang; Sheng He; Tizhen Yan; Xin Fan; Yuehong Zhou; Xiaofeng Wei; Sumin Zhao; Decheng Cai; Fengyu Guo; Qianqian Zhang; Yun Li; Xuelian Zhang; Haorong Lu; Huajie Huang; Junfu Guo; Fei Zhu; Yuan Yuan; Li Zhang; Na Liu; Zhiming Li; Hui Jiang; Qiang Zhang; Yijia Zhang; Wan Khairunnisa Wan Juhari; Sarifah Hanafi; Wanjun Zhou; Fu Xiong; Huanming Yang; Jian Wang; Bin Alwi Zilfalil; Ming Qi; Yaping Yang; Ye Yin; Mao Mao; Xiangmin Xu
Journal:  EBioMedicine       Date:  2017-08-17       Impact factor: 8.143

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