Literature DB >> 27022141

Original Research: A case-control genome-wide association study identifies genetic modifiers of fetal hemoglobin in sickle cell disease.

Li Liu1, Alexander Pertsemlidis2, Liang-Hao Ding3, Michael D Story3, Martin H Steinberg4, Paola Sebastiani5, Carolyn Hoppe6, Samir K Ballas7, Betty S Pace8.   

Abstract

Sickle cell disease (SCD) is a group of inherited blood disorders that have in common a mutation in the sixth codon of the β-globin (HBB) gene on chromosome 11. However, people with the same genetic mutation display a wide range of clinical phenotypes. Fetal hemoglobin (HbF) expression is an important genetic modifier of SCD complications leading to milder symptoms and improved long-term survival. Therefore, we performed a genome-wide association study (GWAS) using a case-control experimental design in 244 African Americans with SCD to discover genetic factors associated with HbF expression. The case group consisted of subjects with HbF≥8.6% (133 samples) and control group subjects with HbF≤£3.1% (111 samples). Our GWAS results replicated SNPs previously identified in an erythroid-specific enhancer region located in the second intron of the BCL11A gene associated with HbF expression. In addition, we identified SNPs in the SPARC, GJC1, EFTUD2 and JAZF1 genes as novel candidates associated with HbF levels. To gain insights into mechanisms of globin gene regulation in the HBB locus, linkage disequilibrium (LD) and haplotype analyses were conducted. We observed strong LD in the low HbF group in contrast to a loss of LD and greater number of haplotypes in the high HbF group. A search of known HBB locus regulatory elements identified SNPs 5' of δ-globin located in an HbF silencing region. In particular, SNP rs4910736 created a binding site for a known transcription repressor GFi1 which is a candidate protein for further investigation. Another HbF-associated SNP, rs2855122 in the cAMP response element upstream of Gγ-globin, was analyzed for functional relevance. Studies performed with siRNA-mediated CREB binding protein (CBP) knockdown in primary erythroid cells demonstrated γ-globin activation and HbF induction, supporting a repressor role for CBP. This study identifies possible molecular determinants of HbF production.
© 2016 by the Society for Experimental Biology and Medicine.

Entities:  

Keywords:  GWAS; HBB locus; fetal hemoglobin; haplotypes; sickle cell disease; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2016        PMID: 27022141      PMCID: PMC4950389          DOI: 10.1177/1535370216642047

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  78 in total

1.  The Senegal DNA haplotype is associated with the amelioration of anemia in African-American sickle cell anemia patients.

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Journal:  Blood       Date:  1991-03-15       Impact factor: 22.113

2.  The relative importance of the X-linked FCP locus and beta-globin haplotypes in determining haemoglobin F levels: a study of SS patients homozygous for beta S haplotypes.

Authors:  Y P Chang; M Maier-Redelsperger; K D Smith; L Contu; R Ducroco; M de Montalembert; M Belloy; J Elion; G J Dover; R Girot
Journal:  Br J Haematol       Date:  1997-03       Impact factor: 6.998

3.  Beta-S gene cluster haplotypes modulate hematologic and hemorheologic expression in sickle cell anemia. Use in predicting clinical severity.

Authors:  D R Powars; H J Meiselman; T C Fisher; A Hiti; C Johnson
Journal:  Am J Pediatr Hematol Oncol       Date:  1994-02

4.  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

5.  cJun modulates Ggamma-globin gene expression via an upstream cAMP response element.

Authors:  Sirisha Kodeboyina; Parimaladevi Balamurugan; Li Liu; Betty S Pace
Journal:  Blood Cells Mol Dis       Date:  2009-10-27       Impact factor: 3.039

6.  Fetal hemoglobin in sickle cell anemia: Bayesian modeling of genetic associations.

Authors:  Paola Sebastiani; Ling Wang; Vikki G Nolan; Efthymia Melista; Qianli Ma; Clinton T Baldwin; Martin H Steinberg
Journal:  Am J Hematol       Date:  2008-03       Impact factor: 10.047

7.  Corepressor-dependent silencing of fetal hemoglobin expression by BCL11A.

Authors:  Jian Xu; Daniel E Bauer; Marc A Kerenyi; Thuy D Vo; Serena Hou; Yu-Jung Hsu; Huilan Yao; Jennifer J Trowbridge; Gail Mandel; Stuart H Orkin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-01       Impact factor: 11.205

8.  Molecular analysis of the high-hemoglobin-F phenotype in Saudi Arabian sickle cell anemia.

Authors:  B A Miller; N Olivieri; M Salameh; M Ahmed; G Antognetti; T H Huisman; D G Nathan; S H Orkin
Journal:  N Engl J Med       Date:  1987-01-29       Impact factor: 91.245

9.  HBS1L-MYB intergenic variants modulate fetal hemoglobin via long-range MYB enhancers.

Authors:  Ralph Stadhouders; Suleyman Aktuna; Supat Thongjuea; Ali Aghajanirefah; Farzin Pourfarzad; Wilfred van Ijcken; Boris Lenhard; Helen Rooks; Steve Best; Stephan Menzel; Frank Grosveld; Swee Lay Thein; Eric Soler
Journal:  J Clin Invest       Date:  2014-03-10       Impact factor: 14.808

10.  Association of variants at BCL11A and HBS1L-MYB with hemoglobin F and hospitalization rates among sickle cell patients in Cameroon.

Authors:  Ambroise Wonkam; Valentina J Ngo Bitoungui; Anna A Vorster; Raj Ramesar; Richard S Cooper; Bamidele Tayo; Guillaume Lettre; Jeanne Ngogang
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

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  9 in total

1.  Sickle cell disease severity: an introduction.

Authors:  Betty S Pace; Steven R Goodman
Journal:  Exp Biol Med (Maywood)       Date:  2016-04

Review 2.  Genetic Modifiers of Fetal Haemoglobin in Sickle Cell Disease.

Authors:  Stephan Menzel; Swee Lay Thein
Journal:  Mol Diagn Ther       Date:  2019-04       Impact factor: 4.074

3.  Genetic variants in the G gamma-globin promoter modulate fetal hemoglobin expression in the Colombian population.

Authors:  Cristian Fong; Yesica Mendoza; Guillermo Barreto
Journal:  Genet Mol Biol       Date:  2020-04-22       Impact factor: 1.771

4.  Genetic Modifiers at the Crossroads of Personalised Medicine for Haemoglobinopathies.

Authors:  Coralea Stephanou; Stella Tamana; Anna Minaidou; Panayiota Papasavva; Marina Kleanthous; Petros Kountouris
Journal:  J Clin Med       Date:  2019-11-09       Impact factor: 4.241

5.  Significance of genetic modifiers of hemoglobinopathies leading towards precision medicine.

Authors:  Priya Hariharan; Manju Gorivale; Pratibha Sawant; Pallavi Mehta; Anita Nadkarni
Journal:  Sci Rep       Date:  2021-10-22       Impact factor: 4.379

6.  Whole-genome resequencing of Sorghum bicolor and S. bicolor × S. halepense lines provides new insights for improving plant agroecological characteristics.

Authors:  Ephrem Habyarimana; Sunita Gorthy; Faheem S Baloch; Sezai Ercisli; Gyuhwa Chung
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.379

Review 7.  The Genetic and Clinical Significance of Fetal Hemoglobin Expression in Sickle Cell Disease.

Authors:  Adekunle Adekile
Journal:  Med Princ Pract       Date:  2020-09-04       Impact factor: 1.927

8.  Association of polymorphisms in the HBG1-HBD intergenic region with HbF levels.

Authors:  Li Hu; Ling Huang; Yuanyuan Han; Tingting Jin; Juan Liu; Minmin Jiang; Xingmei Liu; Yuanyuan Li; Wenping Han; Bangquan An; Shengwen Huang
Journal:  J Clin Lab Anal       Date:  2020-02-18       Impact factor: 2.352

9.  Down-regulation of the transcriptional repressor ZNF802 (JAZF1) reactivates fetal hemoglobin in β0-thalassemia/HbE.

Authors:  Chokdee Wongborisuth; Sukanya Chumchuen; Orapan Sripichai; Usanarat Anurathaphan; Nuankanya Sathirapongsasuti; Duantida Songdej; Amornrat Tangprasittipap; Suradej Hongeng
Journal:  Sci Rep       Date:  2022-03-23       Impact factor: 4.996

  9 in total

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