One gene, many phenotypes
P Prasun, M Pradhan, S Agarwal
Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow
«DQ»Phenotype«DQ» is the visible or quantifiable effect of the expression of a gene, whereas the specific genetic constitution responsible for a phenotype is called «DQ»genotype«DQ». It was hoped that phenotype could be accurately predicted if the genotype could be characterized. But, the relationship between the genotype and phenotype is not straightforward. Similar genetic lesions can have entirely different phenotypes. In recent years, there has been tremendous progress in the understanding of the genetic basis of diseases. The extent to which it will be possible to relate findings at the DNA level to the clinical phenotype is difficult to delineate on many occasions. The elucidation of mechanisms underlying genotype-phenotype discrepancies is important as it will influence the use of DNA-based tests in the diagnosis, therapy and counseling of individuals affected with genetic disorders. This issue is pertinent to almost every aspect of medical practice and research in this post-genome era. In this article, we have tried to summarize those factors which are responsible for varied manifestations of lesion(s) in a single gene.
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Prasun P, Pradhan M, Agarwal S. One gene, many phenotypes.J Postgrad Med 2007;53:257-261
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Prasun P, Pradhan M, Agarwal S. One gene, many phenotypes. J Postgrad Med [serial online] 2007 [cited 2023 Feb 6 ];53:257-261
Available from: https://www.jpgmonline.com/text.asp?2007/53/4/257/33968
Mutations in different genes can lead to similar phenotype e.g., hereditary spherocytosis can be due to mutations in the genes encoding for spectrin, ankyrin, protein 4.2 or band 3. ,,, In contrast, defects in a single gene have been implicated in different phenotypes. For example, cystic fibrosis is caused by homozygous/compound heterozygous mutations in the CFTR gene. Mutations in the same gene can lead to isolated congenital bilateral absence of vas deferens (CBAVD). ,, There may be considerable phenotypic heterogeneity even among individuals who have identical mutations at the disease-causing locus. This is best exemplified by sickle cell anemia, in which all patients are homozygous for a similar genetic lesion in the beta globin gene, but the phenotypic diversity ranges from 'life-threatening' to 'symptom-free'. ,,,,,,
With rapid advancement in the field of genetics, thousands of genes involved in human diseases have been cloned. It was expected that knowledge of mutations would lead to consistent genotype-phenotype correlations, clarifying why a given genetic change results in a particular phenotype. However, genotype-phenotype correlation is often incomplete. Monogenic diseases provide the simplest models for studying genotype-phenotype relationships. The understanding of mechanisms underlying genotype-phenotype discrepancies is important, as it will move clinical genetics towards predictive medicine, allowing better selection of therapeutic strategies and individualized counseling of persons affected with genetic disorders.
From 'Genotype' to 'Phenotype'
There are several steps involved in the expression of a gene. These are:
Transcription: Process whereby genetic information is transmitted from DNA to mRNA.mRNA processing: The mRNA leaves the nucleus and undergoes a number of modifications such as, 5' capping, polyadenylation and splicing. The intervening sequences (non-coding regions) are excised and the exons (coding regions) are joined to form the mature RNA during the process of splicing.Translation: Process whereby the mRNA is decoded on ribosomes to direct synthesis of specific proteins.Posttranslational modification: Many proteins undergo modification before they attain functional activity. These modifications are of various types. The most common are the specific cleavage of precursor proteins; formation of disulfide bonds; or covalent addition or removal of groups leading to modifications such as acetylation, formylation, glycosylation, hydroxylation, methylation, oxidation or phosphorylation.
Each of these steps in the gene expression is subject to complex regulations and multiple interactions, which can result in variable and unexpected expressions of the same gene. For example, alternative mRNA splicing can produce several species of mRNA from a single gene.  The polypeptide chains produced after translation may be modified in numerous ways leading to many versions of the final protein. Thus, a single gene can generate hundreds and possibly thousands of different protein molecules by the processes of alternative splicing and posttranslational modifications.
At present, only a fraction of gene function can be inferred from the primary gene sequence. The need of developing strategies to define gene function and better understanding of the biological systems has led to the emergence of many revolutionary disciplines like proteomics, functional genomics, chemical genetics and systems biology.
'Proteomics' focuses on gene products i.e., proteins, which are the active agents in cells. It attempts to characterize proteins, compare variations in their expression levels in normal and disease states, study protein-protein interactions and identify their functional roles. ,, 'Systems biology' (also called 'integrated biology') uses an integrated approach to understand the biological systems. The organism or the biological system is analyzed in its entirety rather than by just studying limited number of components at a time. Information regarding all the mRNA levels (transcriptome) and protein levels (proteome) in a biological system during health and disease are collected and analyzed. 
It is hoped that the processes underlying health and disease will be better understood in the near future with these novel and integrative approaches.
One Gene, Many Phenotypes
I. One gene, many mutations, many phenotypes
It is very interesting to know that mutations at a single locus can lead to diseases with entirely different clinical features. For example, mutations in the RET gene have been implicated in the etiology of Hirshprung disease as well as multiple endocrine neoplasia (MEN) Type 2. This phenomenon, whereby different mutations at the same locus result in different phenotypes is known as allelic heterogeneity. The underlying mechanism is either quantitative or qualitative change in the gene product. Some of the examples of allelic heterogeneity have been listed in [Table 1]. A few illustrative examples are discussed here.
Nonfunctional vs. partially functional/truncated gene product
Duchenne and Becker muscular dystrophies are caused by mutations in the dystrophin gene. Mutations that partially inactivate the gene product cause Becker muscular dystrophy (BMD), while mutations which completely inactivate the gene product produce Duchenne muscular dystrophy (DMD).
Loss of function vs. gain of function
The RET gene codes for a tyrosine kinase receptor. Loss of function mutations in RET that lead to nonfunctional product or lower expression of RET give rise to Hirschprung disease. Gain of function mutations at the same locus that produce constitutively activated receptors lead to MEN Type 2. Similarly, loss of function mutations at FGFR1 locus cause an autosomal dominant form of Kallman syndrome characterized by anosmia and hypogonadotropic hypogonadism, while gain of function mutations at the same site lead to a form of craniosynostosis (Pfeiffer syndrome). ,
II. One gene, one mutation, many phenotypes
The phenomenon of allelic heterogeneity is not unexpected, as the gene product may get differentially changed by the different mutations and so the phenotypes. More surprising is the fact that individuals with similar genetic lesions can have significantly different clinical manifestations. This is well observed in autosomal dominant disorders, where 'pleiotropy', 'variable expressivity' and 'reduced penetrance' have been classically described. Pleiotropy is the condition whereby a single gene mutation has multiple consequences in numerous tissues. Even in the same family, two individuals carrying the same mutant genes may have different disease manifestations. Expressivity is defined as the severity of the phenotype. When the severity of disease differs in people with same genotype, the phenotype is said to have variable expressivity. Penetrance is the proportion of persons with a particular genotype who manifest the disease. The reduced penetrance leads to 'skipping of generation'. Neurofibromatosis Type 1(NF1) is characterized by extreme clinical variability, not only between unrelated individuals and among affected individuals within a single family but even within a single individual with NF1 at different times in life. The mutation in the NF1 gene can produce different lesions in different tissues such as cafι-au-lait spots, neurofibroma, iris hamartoma, skeletal abnormalities or mental retardation (pleiotropy). Each of these pleiotropic effects can have varying severity among the affected family members (variable expressivity). The mechanisms underlying such clinical variations are often unclear. It is supposed to be the result of the modifying effects of other genes, as well as due to interaction with environmental factors. Some of the known mechanisms responsible for variable manifestations of a single gene lesion have been discussed briefly in the subsequent sections.
Mosaicism (gene dosage effect)
Mosaicism is the existence of two cell lines with different genetic constitution that have been derived from a single zygote. It arises as a result of occurrence of new mutation during development. The stage at which the mutation occurs determines the proportion of cells bearing the lesion. It is an important cause of phenotypic heterogeneity among individuals who carry the same genetic lesion.  The phenotypic severity is determined by the proportion of cells carrying the mutation. This is best exemplified in mitochondrial disorders. There are thousands of mitochondrial DNA (mtDNA) molecules in a cell. When a mutation occurs in the mtDNA, it is at first present in only one of the mtDNA molecules. At cell division, the mtDNA molecules replicate and sort randomly among the daughter cells. Each daughter cell may receive very different proportions of mitochondria carrying normal and mutant mtDNA. The phenotype will depend upon three factors: the relative abundance of mutant mtDNA (heteroplasmy), the tissue distribution of the mutant mtDNAs and the vulnerability of each tissue to impaired oxidative metabolism (threshold effect). Thus, reduced penetrance, variable expression and pleiotropy are typical features of kindred with mitochondrial disorders. For example, a deletion of 4977 bp of mtDNA is commonly encountered in Kearns-Sayre syndrome (characterized by the triad of pigmentary retinopathy, external ophthalmoplegia and onset before the age of 20 years). The same deletion has also been identified in cases of Pearson syndrome (sideroblastic anemia, exocrine pancreatic dysfunction) and progressive external ophthalmoplegia. The different phenotypes from the same deletion are due to tissue distribution of the defect. If the defect is present in mitochondria of all tissues, the phenotype is Kearns-Sayre syndrome. In Pearson syndrome, the defect is localized mainly to the hematopoietic tissue, while the defect is confined to the skeletal tissues in progressive external ophthalmoplegia. ,
Another striking example of phenotypic diversity arising from mosaicism is the androgen insensitivity syndrome (AIS). Androgen insensitivity syndrome is the major cause of male pseudohermaphroditism. It is an X-linked disorder caused by mutations in androgen receptor (AR) gene. Androgen insensitivity syndrome can be subdivided into three highly variable phenotypes: complete AIS, when the affected persons have female external genitalia; partial AIS, when the genitalia are ambiguous; and mild AIS, when the affected individuals have normal male external genitalia. In a number of cases, identical mutations have resulted in significantly different phenotypes. This is due to somatic mosaicism. ,,, The co-expression of wild allele shifts the AIS subtype to a higher degree of virilization than expected from the mutant allele alone.
A modifier gene is defined as an inherited genetic variation that affects the phenotypic expression of another gene. It can affect the pleiotropy, penetrance or expressivity of the disease. Depending upon the nature of modifying effect, modifier genes might cause more severe phenotypes, less severe phenotypes, novel phenotypes or wild-type (normal) phenotypes. 
Modifiers causing less severe (reduced) phenotype
The severity of anemia in beta thalassemia reflects the degree of globin chain imbalance. The excess of alpha globin chain precipitates in red cell precursors leading to ineffective erythropoiesis. This imbalance can be genetically modified by two factors-variation in amount of gamma globin response and alpha globin chain production. , The beta thalassemia patients who co-inherit alpha globin gene deletions will have less redundant alpha globin chains and tend to have less severe phenotype. Similarly, increased synthesis of gamma globin chain will reduce the disease severity by increasing HbF level. The gamma globin response is also genetically determined. The C®T polymorphism at position -158 of the gamma globin gene is associated with enhanced HbF response. There are many other loci that are not linked to the beta globin gene but modify HbF response. Linkage studies have mapped these loci to three regions of the genome-chromosome 6q23, 8q11 and Xp22. ,,
Sickle cell anemia
HbF is the best understood genetic modifier of sickle cell anemia. HbF inhibits polymerization of HbS. Increasing levels of HbF progressively ameliorate the disease. The HbF response is genetically determined as discussed under the 'beta thalassemia' section. Similarly, the coinheritance of deletion of alpha globin genes modifies the phenotype of sickle cell disease. Alpha globin gene deletions cause reduced intracellular concentration of HbS leading to reduction in rigidity of red cells and consequently longer erythrocyte lifespan, raised hematocrit and blood viscosity. Clinically, these changes produce beneficial and harmful effects. They seem to protect against stroke but predispose to more frequent painful episodes and osteonecrosis. ,,,,
Spinal muscular atrophy (SMA)
Spinal muscular atrophy is a recessive neuromuscular disorder caused by homologous loss of SMN1 gene function. There are four types of SMA according to the age of onset and disease severity. Type 1 patients show onset within six months after birth and usually die before two years of age. Type 4 is characterized by age of onset > 30 years and only very mild signs of muscle weakness.
SMN2 is a nearly identical copy of SMN1. SMN2 produces transcripts lacking exon 7. About 10% of SMN2 transcripts are correctly spliced and encode a protein identical to SMN1 . The severity of SMA has been found to be influenced by the number of SMN2 copies.  Increasing number of SMN2 copy reduces severity of disease. About 10% of Type 1 patients carry two copies, 82% of Type 2 SMA patients have three SMN2 copies, whereas Type 3 patients have minimum three to four SMN2 copies.
Modifiers causing more severe (enhanced) phenotype
The severity of anemia in beta thalassemia depends on the degree of globin chain imbalance. It is an autosomal recessive condition. The heterozygotes for beta thalassemia mutations are clinically asymptomatic as the degree of imbalance is insignificant. But, the coinheritance of extra alpha globin genes (alpha triplication) increases the imbalance. This leads to symptomatic disease in heterozygotes, sometimes manifesting as 'intermedia' phenotype. ,,
Alternative mRNA splicing is another mechanism responsible for different expression of similar genotype. Two illustrative examples are given below.
(A) Duchenne muscular dystrophy and BMD are caused by mutations in the dystrophin gene. Duchenne muscular dystrophy is a severe muscle-wasting disease arising from defects in the dystrophin gene, typically nonsense or frameshift mutations that preclude the synthesis of a functional protein. Becker muscular dystrophy generally arises from in-frame deletions that allow synthesis of a shorter but still semifunctional protein. But, nonsense mutations which should cause DMD have been reported in BMD. This is due to alternative mRNA splicing- skipping of the affected exon leads to removal of the nonsense mutation from the dystrophin mRNA. ,, This results in production of partially functional dystrophin and BMD phenotype.
(B) Cystic fibrosis is an autosomal recessive disorder. The genotype delta F508/R117H can lead to either severe phenotype of cystic fibrosis leading to respiratory failure or the milder phenotype, in which the only manifestation is congenital bilateral absence of vas deferens (CBAVD). The CFTR gene has two intron 8 variants. One is associated with efficient mRNA splicing, while the other causes inefficient splicing. The R117H allele is capable of producing partially functional protein. The R117H allele associated with efficient splicing leads to production of some amount of partially functional protein and hence milder phenotype (CBAVD). On the other hand, severe phenotype results if the intron 8 variant causes inefficient splicing and production of nonfunctional protein. ,,,,
Epigenetics is the study of stable alterations in gene expression that arise during development and cell proliferation. Epigenetic phenomena modulate when and at what level genes are expressed. Thus, the expression of a mutation also depends upon the activity state of the locus carrying it; the mere presence of a genetic defect may not be enough for clinical expression. Genomic imprinting and X-inactivation are examples of epigenetic phenomena.
The expression of a gene depends upon the parent who passed on the gene. For example, two different diseases - Prader-Willi syndrome and Angelman syndrome - are due to deletion of the same part of chromosome 15. When the deletion involves the chromosome 15 inherited from the father, the child has Prader-Willi syndrome, but when the deletion involves the chromosome 15 inherited from the mother, the child has Angelman syndrome. This is a striking example of how the parental origin of a genetic defect influences the clinical phenotype . UBE3A is the gene implicated in Angelman syndrome. It is subject to imprinting, being expressed only from the maternal allele in the brain. ,,,, A UBE3A mutation inherited from the mother will lead to Angelman syndrome, while paternal UBE3A mutation will be silent.
X inactivation in females is a random process. Female carriers of X-linked recessive conditions (e.g. hemophilia, DMD) are asymptomatic. But, occasionally they may show mild or even full expression of the disease which may approach that of a hemizygous male. This is due to nonrandom inactivation of X chromosome. By chance, most of the X chromosomes carrying the normal allele get inactivated resulting in clinical expression of the disease.
Gene and environment
Virtually all human diseases result from the complex interplay of genetic susceptibility factors and modifiable environmental factors. This is most obvious in the context of common illnesses such as diabetes, coronary artery disease or cancer. But, environmental factors play a significant role in the expression of monogenic disorders too. For example , inherited metabolic disorders manifest when there is introduction of the substrate for which the metabolism is defective. Similar genetic defects may have different phenotypes if the environmental factors are not similar.
Knowing a gene mutation is only a step in predicting its consequences. The effect of a mutation is determined by other genetic and environmental modifiers. Recently, a large number of candidate genes have been discovered for common disorders like hypertension, diabetes, cancer etc. The genotype-phenotype correlation  is much more complex in these disorders where genetic modifiers and environmental factors are complexly interwoven. However, the same principles outlined for monogenic disorders apply. The prediction of phenotype based upon the results of DNA-based tests may be fallacious at times. But the judicious use of these results will definitely serve in anticipating a complication, selecting an appropriate therapeutic regimen and better counseling.
|1||Hassoun H, Vassiliadis JN, Murray J, Njolstad PR, Rogus JJ, Ballas SK, et al . Characterization of the underlying molecular defect in hereditary spherocytosis associated with spectrin deficiency. Blood 1997;90:398-406.|
|2||Nakanishi H, Kanzaki A, Yawata A, Yamada O, Yawata Y. Ankyrin gene mutations in Japanese patients with hereditary spherocytosis. Int J Hematol 2001;73:54-63.|
|3||Yawata Y, Kanzaki A, Yawata A, Doerfler W, Ozcan R, Eber SW. Characteristic features of the genotype and phenotype of hereditary spherocytosis in the Japanese population. Int J Hematol 2000;71:118-35.|
|4||Bolton-Maggs PH. Hereditary spherocytosis: New guidelines. Arch Dis Child 2004;89:809-12.|
|5||Dork T, Dworniczak B, Aulehla-Scholz C, Wieczorek D, Bohm I, Mayerova A, et al . Distinct spectrum of CFTR gene mutations in congenital absence of vas deferens. Hum Genet 1997;100:365-77.|
|6||Mickle JE, Cutting GR. Genotype-phenotype relationships in cystic fibrosis. Med Clin North Am 2000;84:597-607.|
|7||Radpour R, Gilani MA, Gourabi H, Dizaj AV, Mollamohamadi S. Molecular analysis of the IVS8-T splice variant 5T and M470V exon 10 missense polymorphism in Iranian males with congenital bilateral absence of the vas deferens. Mol Hum Reprod 2006;12:469-73.|
|8||Quinn CT, Miller ST. Risk factors and prediction of outcomes in children and adolescents who have sickle cell anemia. Hematol Oncol Clin North Am 2004;18:1339-54.|
|9||Meschia JF, Pankratz VS. Defining stroke risks in sickle cell anemia. Nat Genet 2005;37:340-1.|
|10||Hayward P. Genetic model predicts stroke in sickle-cell disease. Lancet Neurol 2005;4:277.|
|11||Adams GT, Snieder H, McKie VC, Clair B, Brambilla D, Adams RJ, et al . Genetic risk factors for cerebrovascular disease in children with sickle cell disease: Design of a case-control association study and genomewide screen. BMC Med Genet 2003;4:6.|
|12||Miller ST, Sleeper LA, Pegelow CH, Enos LE, Wang WC, Weiner SJ, et al . Prediction of adverse outcomes in children with sickle cell disease. N Engl J Med 2000;342:83-9.|
|13||Quinn CT, Rogers ZR, Buchanan GR. Survival of children with sickle cell disease. Blood 2004;103:4023-7.|
|14||Steinberg MH, Dreiling BJ, Morrison FS, Necheles TF. Mild sickle cell disease. Clinical and laboratory studies. JAMA 1973;224:317-21.|
|15||Strachan T, Read AP. Human molecular genetics. John Wiley and Sons (Asia) Pvt Ltd: Singapore; 1999.|
|16||Simpson RJ. Proteins and proteomics: A laboratory manual. Cold Spring Harbor Laboratory Press: New York; 2003.|
|17||Azad NS, Rasool N, Annunziata CM, Minasian L, Whiteley G, Kohn EC. Proteomics in clinical trials and practice: present uses and future promise. Mol Cell Proteomics 2006;5:1819-29.|
|18||Leibler CD, Yates RJ. Introduction to proteomics: Tools for the new biology. Humana Press: Totowa, NJ; 2002.|
|19||Ge H, Walhout AJ, Vidal M. Integrating 'omic' information: A bridge between genomics and systems biology. Trends Genet 2003;19:551-60.|
|20||Dode C, Levilliers J, Dupont JM, De Paepe A, Le Du N, Soussi-Yanicostas N, et al . Loss-of-function mutations in FGFR1 cause autosomal dominant Kallmann syndrome. Nat Genet 2003;33:463-5.|
|21||Muenke M, Schell U. Fibroblast-growth-factor receptor mutations in human skeletal disorders. Trends Genet 1995;11:308-13.|
|22||Youssoufian H, Pyeritz RE. Mechanisms and consequences of somatic mosaicism in humans. Nat Rev Genet 2002;3:748-58.|
|23||DiMauro S, Schon EA. Mitochondrial respiratory-chain diseases. N Engl J Med 2003;348:2656-68.|
|24||McShane MA, Hammans SR, Sweeney M, Holt IJ, Beattie TJ, Brett EM, et al . Pearson syndrome and mitochondrial encephalomyopathy in a patient with a deletion of mtDNA. Am J Hum Genet 1991;48:39-42.|
|25||Holterhus PM, Bruggenwirth HT, Hiort O, Kleinkauf-Houcken A, Kruse K, Sinnecker GH, et al . Mosaicism due to a somatic mutation of the androgen receptor gene determines phenotype in androgen insensitivity syndrome. J Clin Endocrinol Metab 1997;82:3584-9.|
|26||Kohler B, Lumbroso S, Leger J, Audran F, Grau ES, Kurtz F, et al . Androgen insensitivity syndrome: Somatic mosaicism of the androgen receptor in seven families and consequences for sex assignment and genetic counseling. J Clin Endocrinol Metab 2005;90:106-11.|
|27||Gottlieb B, Beitel LK, Trifiro MA. Somatic mosaicism and variable expressivity. Trends Genet 2001;17:79-82.|
|28||Boehmer AL, Brinkmann AO, Niermeijer MF, Bakker L, Halley DJ, Drop SL. Germ-line and somatic mosaicism in the androgen insensitivity syndrome: Implications for genetic counseling. Am J Hum Genet 1997;60:1003-6.|
|29||Nadeau JH. Modifier genes in mice and humans. Nat Rev Genet 2001;2:165-74.|
|30||Thein SL. Genetic insights into the clinical diversity of beta thalassaemia. Br J Haematol 2004;124:264-74.|
|31||Weatherall DJ. Phenotype-genotype relationships in monogenic disease: Lessons from the thalassaemias. Nat Rev Genet 2001;2:245-55.|
|32||Dover GJ, Smith KD, Chang YC, Purvis S, Mays A, Meyers DA, et al . Fetal hemoglobin levels in sickle cell disease and normal individuals are partially controlled by an X-linked gene located at Xp22.2. Blood 1992;80:816-24.|
|33||Craig JE, Rochette J, Fisher CA, Weatherall DJ, Marc S, Lathrop GM, et al . Dissecting the loci controlling fetal haemoglobin production on chromosomes 11p and 6q by the regressive approach. Nat Genet 1996;12:58-64.|
|34||Garner CP, Tatu T, Best S, Creary L, Thein SL. Evidence of genetic interaction between the beta-globin complex and chromosome 8q in the expression of fetal hemoglobin. Am J Hum Genet 2002;70:793-9.|
|35||Steinberg MH, Rodgers GP. Pathophysiology of sickle cell disease: Role of cellular and genetic modifiers. Semin Hematol 2001;38:299-306.|
|36||Sebastiani P, Ramoni MF, Nolan V, Baldwin CT, Steinberg MH. Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia. Nat Genet 2005;37:435-40.|
|37||Steinberg MH. Predicting clinical severity in sickle cell anaemia. Br J Haematol 2005;129:465-81.|
|38||Steinberg MH, Rosenstock W, Coleman MB, Adams JG, Platica O, Cedeno M, et al . Effects of thalassemia and microcytosis on the hematologic and vasoocclusive severity of sickle cell anemia. Blood 1984;63:1353-60.|
|39||Wirth B, Brichta L, Schrank B, Lochmuller H, Blick S, Baasner A, et al . Mildly affected patients with spinal muscular atrophy are partially protected by an increased SMN2 copy number. Hum Genet 2006;119:422-8.|
|40||Ma SK, Au WY, Chan AY, Chan LC. Clinical phenotype of triplicated alpha-globin genes and heterozygosity for beta-thalassemia in Chinese subjects. Int J Mol Med 2001;8:171-5.|
|41||Traeger-Synodinos J, Kanavakis E, Vrettou C, Maragoudaki E, Michael T, Metaxotou-Mavromati A, et al . The triplicated alpha-globin gene locus in beta-thalassaemia heterozygotes: Clinical, haematological, biosynthetic and molecular studies. Br J Haematol 1996;95:467-71.|
|42||Camaschella C, Kattamis AC, Petroni D, Roetto A, Sivera P, Sbaiz L, et al . Different hematological phenotypes caused by the interaction of triplicated alpha-globin genes and heterozygous beta-thalassemia. Am J Hematol 1997;55:83-8.|
|43||Chelly J, Gilgenkrantz H, Lambert M, Hamard G, Chafey P, Recan D, et al . Effect of dystrophin gene deletions on mRNA levels and processing in Duchenne and Becker muscular dystrophies. Cell 1990;63:1239-48.|
|44||Disset A, Bourgeois CF, Benmalek N, Claustres M, Stevenin J, Tuffery-Giraud S. An exon skipping-associated nonsense mutation in the dystrophin gene uncovers a complex interplay between multiple antagonistic splicing elements. Hum Mol Genet 2006;15:999-1013.|
|45||Shiga N, Takeshima Y, Sakamoto H, Inoue K, Yokota Y, Yokoyama M, et al . Disruption of the splicing enhancer sequence within exon 27 of the dystrophin gene by a nonsense mutation induces partial skipping of the exon and is responsible for Becker muscular dystrophy. J Clin Invest 1997;100:2204-10.|
|46||Kiesewetter S, Macek M Jr, Davis C, Curristin SM, Chu CS, Graham C, et al . A mutation in CFTR produces different phenotypes depending on chromosomal background. Nat Genet 1993;5:274-8.|
|47||Massie RJ, Poplawski N, Wilcken B, Goldblatt J, Byrnes C, Robertson C. Intron-8 polythymidine sequence in Australasian individuals with CF mutations R117H and R117C. Eur Respir J 2001;17:1195-200.|
|48||Lissens W, Mahmoud KZ, El-Gindi E, Abdel-Sattar A, Seneca S, Van Steirteghem A, et al . Molecular analysis of the cystic fibrosis gene reveals a high frequency of the intron 8 splice variant 5T in Egyptian males with congenital bilateral absence of the vas deferens. Mol Hum Reprod 1999;5:10-3.|
|49||Jezequel P, Dorval I, Fergelot P, Chauvel B, Le Treut A, Le Gall JY, et al . Structural analysis of CFTR gene in congenital bilateral absence of vas deferens. Clin Chem 1995;41:833-5.|
|50||Dork T, Dworniczak B, Aulehla-Scholz C, Wieczorek D, Bohm I, Mayerova A, et al . Distinct spectrum of CFTR gene mutations in congenital absence of vas deferens. Hum Genet 1997;100:365-77.|
|51||Landers M, Bancescu DL, Le Meur E, Rougeulle C, Glatt-Deeley H, Brannan C, et al . Regulation of the large (approximately 1000 kb) imprinted murine Ube3a antisense transcript by alternative exons upstream of Snurf/Snrpn. Nucl Acids Res 2004;32:3480-92.|
|52||Nicholls RD, Saitoh S, Horsthemke B. Imprinting in Prader-Willi and Angelman syndromes. Trends Genet 1998;14:194-200.|
|53||Glenn CC, Driscoll DJ, Yang TP, Nicholls RD. Genomic imprinting: Potential function and mechanisms revealed by the Prader-Willi and Angelman syndromes. Mol Hum Reprod 1997;3:321-32.|
|54||Clayton-Smith J, Laan L. Angelman syndrome: A review of the clinical and genetic aspects. J Med Genet 2003;40:87-95.|
|55||Malzac P, Webber H, Moncla A, Graham JM, Kukolich M, Williams C, et al . Mutation analysis of UBE3A in Angelman syndrome patients. Am J Hum Genet 1998;62:1353-60.|
|56||Lyonnet S, Feingold J, Frezal J. Genotype-phenotype relationships . In : Cooper DN, editor. Nature encyclopedia of human genome. Nature Publishing Group: London; 2003. p. 56-63.|