Literature DB >> 31196119

Mutation profile of BBS genes in patients with Bardet-Biedl syndrome: an Italian study.

Elena Manara1, Stefano Paolacci2, Fabiana D'Esposito2,3,4, Andi Abeshi2, Lucia Ziccardi5, Benedetto Falsini6,7, Leonardo Colombo8, Giancarlo Iarossi9, Alba Pilotta10, Loredana Boccone11, Giulia Guerri2, Marica Monica11, Balzarini Marta11, Paolo Enrico Maltese12, Luca Buzzonetti9, Luca Rossetti8, Matteo Bertelli2.   

Abstract

BACKGROUND: Bardet-Biedl syndrome (BBS) is a rare inherited multisystemic disorder with autosomal recessive or complex digenic triallelic inheritance. There is currently no treatment for BBS, but some morbidities can be managed. Accurate molecular diagnosis is often crucial for the definition of appropriate patient management and for the development of a potential personalized therapy.
METHODS: We developed a next-generation-sequencing (NGS) protocol for the screening of the 18 most frequently mutated genes to define the genotype and clarify the mutation spectrum of a cohort of 20 BBS Italian patients.
RESULTS: We defined the causative variants in 60% of patients; four of those are novel. 33% of patients also harboured variants in additional gene/s, suggesting possible oligogenic inheritance. To explore the function of different genes, we looked for correlations between genotype and phenotype in our cohort. Hypogonadism was more frequently detected in patients with variants in BBSome proteins, while renal abnormalities in patients with variations in BBSome chaperonin genes.
CONCLUSIONS: NGS is a powerful tool that can help understanding BBS patients' phenotype through the identification of mutations that could explain differences in phenotype severity and could provide insights for the development of targeted therapy. Furthermore, our results support the existence of additional BBS loci yet to be identified.

Entities:  

Keywords:  Bardet-Biedl syndrome; Genetic diagnosis; triallelic inheritance; NGS

Mesh:

Year:  2019        PMID: 31196119      PMCID: PMC6567512          DOI: 10.1186/s13052-019-0659-1

Source DB:  PubMed          Journal:  Ital J Pediatr        ISSN: 1720-8424            Impact factor:   2.638


Background

Bardet-Biedl syndrome (BBS) is a rare inherited, clinically and genetically heterogeneous, multisystemic ciliopathy with various primary and secondary clinical manifestations [1]. Although the common postaxial hexadactyly is evident at birth, in absence of a family history the diagnosis is usually made after the manifestation of ocular involvement. The main features are: retinal dystrophy (cone-rod type) often leading to blindness, upper and lower limbs polydactyly, early-onset truncal obesity, intellectual impairment, hypogonadism and renal abnormalities. A number of secondary features is also described [1]. Life expectancy can be reduced, mainly due to renal failure [2]. Twenty-one different loci (BBS1-BBS21) have been associated with this syndrome. The genes mostly code for proteins forming the core BBSome complex (BBS1, BBS2, BBS4, BBS5, BBS7, BBS8 and BBS9) or part of a BBS chaperone complex (BBS6, BBS10 and BBS12) which plays an essential role in the stabilization and regulation of the BBSome [3, 4]. Other genes code for proteins with roles in the localization and activation of BBSome (ARL6) or BBSome entry into cilia (BBS17) or are associated with the BBSome complex (BBS14) (Fig. 1 and Additional file 1: Table S1). The functions of some of the proteins are not fully understood. BBSome is a stable protein complex that functions in the biogenesis and maintenance of the primary cilium (Fig. 1), a structure that is ubiquitously expressed and highly conserved through evolution, and in modulating ciliary protein trafficking. Primary cilia serve as sensors of the extracellular environment, they receive and transduce signals from light, chemical, or mechanical stimuli, [5] in addition they play a role in several signalling pathways important for development and tissue homeostasis, their alteration results in abnormalities and multiorgan disfunctions. Many different pathways have been linked to the primary cilium, including Hedgehog, Wnt, Notch, Hippo, GPCR, PDGF, mTOR, and TGF-beta [6].
Fig. 1

Schematic representation of the cilium and intraflagellar transport. 1. transition zone; 2. basal body; 3. axoneme; 4. pericentriolar area. BBS-chaperonin complex (BBS6, BBS10, BBS12) binds and stabilizes the BBS protein to form the BBSome (BBS1, BBS2, BBS4, BBS5, BBS7, BBS8, BBS9, BBS17, BBS18). BBSome plays a critical role in the regulation of cilia composition and in intraflagellar trafficking. Indeed, transmembrane (TM) and periferal membrane protein are transported in the cilium in a BBSome dependent manner. BBS3 triggers BBSome complex /cargo proteins interaction and their transition across the control barrier (transition zone - BBS13, BBS14, BBS15) into the cilium. In bold, genes included in our NGS panel

Schematic representation of the cilium and intraflagellar transport. 1. transition zone; 2. basal body; 3. axoneme; 4. pericentriolar area. BBS-chaperonin complex (BBS6, BBS10, BBS12) binds and stabilizes the BBS protein to form the BBSome (BBS1, BBS2, BBS4, BBS5, BBS7, BBS8, BBS9, BBS17, BBS18). BBSome plays a critical role in the regulation of cilia composition and in intraflagellar trafficking. Indeed, transmembrane (TM) and periferal membrane protein are transported in the cilium in a BBSome dependent manner. BBS3 triggers BBSome complex /cargo proteins interaction and their transition across the control barrier (transition zone - BBS13, BBS14, BBS15) into the cilium. In bold, genes included in our NGS panel For many years BBS was considered an autosomal recessive disease, but recently evidence suggesting complex digenic triallelic inheritance has been described [7-9]. This could partly explain the large, phenotypic heterogeneity found in BBS patients, both inter- and intrafamilial [10]. There is currently no treatment for BBS, but some of the co-morbidities can be managed. Precise identification of the causative gene(s) is therefore a fundamental step toward a personalized therapeutic approach and management of genotype-related conditions [8, 11–17]. Thus, genetic analysis and accurate phenotyping are fundamental for stratifying patients and addressing appropriate therapy. In our study we analysed the mutation spectrum in a cohort of 20 Italian patients with BBS, investigating the tri-allelic hypothesis and analysing genotype-phenotype correlation.

Materials and methods

Patients

Twenty caucasian patients diagnosed in different hospital across Italy with Bardet-Biedl syndrome were retrospectively included in the study. The mean (±SD) age was 29 ± 17.1 (range 9–63) years and the male/female ratio was 13:7. The mean age at diagnosis was 5.4 ± 7.2 (range 0–24) years. No consanguinity in their families was reported [except for two probands that stated a distant kinship]. Clinical diagnosis of BBS was made according to the accepted criteria [1]. Genetic testing was performed on germline DNA extracted from either saliva or blood of the proband.

Mutation analysis

A custom-made oligonucleotide probe library was designed to capture all coding exons and flanking exon/intron boundaries (±15 bp) of 18 genes known to be associated with Bardet-Biedl syndrome (Additional file 1: Table S1 and Additional file 2: for protocol details). DNA from the proband was analysed. Identified variants with likely clinical significance (pathogenic, likely pathogenic and of unknown significance according to the ACMG guideline) [18] were confirmed by bidirectional Sanger sequencing on a CEQ8800 Sequencer (Beckman Coulter). Segregation in family members was performed for variants identified in the proband in heterozygous state in order to confirm that the variants were in trans (yes in column Seg in Table 1).
Table 1

Bardet-Biedl syndrome patients with resolved genotype

SexSegGeneEx/ intNucleotide substitutionProtein substitutionHet/HomoTypeScore[18]RefRSMAF
1MYesBBS2ex9c.1015C > Tp.(Arg339*)HetnonsenseP[14]rs193922710N/A
BBS2ex9 c.1062C > G p.(Asn354Lys)HetmissenseP
2MYesBBS10ex2c.1091delp.(Asn364Thrfs*5)HetframeshiftP[15]rs7275038180.00005
BBS10ex2c.1677delp.(Tyr559*)HetnonsenseP[4]
3MBBS7ex8 c.763A > T p.(Lys255*)HomononsenseP
4FBBS2ex8c.814C > Tp.(Arg272*)HomononsenseP[16, 17]
BBS12ex2c.116 T > Cp.Ile39ThrHetmissensefSNP[19]rs138036823
INPP5Eex1c.532G > Ap.Val178MetHetmissenseVUS
5MBBS10ex2c.271dupp.(Cys91Leufs*5)HomononsenseP[4, 20, 21]rs5496256040.0007
6FBBS12ex2c.1063C > Tp.(Arg355*)HomononsenseP[22]rs1219183270.00002
BBS1ex12 c.1016A > T p.(His339Leu)HetmissenseVUS
7FYesBBS10ex2c.641 T > Ap.(Val214Glu)HomomissenseP[23]
8MYesBBS10ex2c.1676dupp.(Tyr559*)HetnonsenseP[24]
BBS10ex2c.962A > Gp.(Tyr321Cys)HetmissenseLP[23]
9FBBS12ex2c.1531_1539delp.(Gln511_Gln513del)Homoinframe delP[4, 19]rs752762669
10MYesBBS1ex1c.46A > Tp.(Ser16Cys)HetmissenseLPrs7729173640.008458
BBS1ex13 c.1285dup p.(Arg429Profs*72)HetframeshiftP
BBS10ex2c.765G > Ap.(Met255Ile)HetmissenseLB[25]rs139658279
BBS14ex10c.829G > Cp.(Glu277Gln)HetmissenseVUS[26]rs45502896
11MYesBBS4int5c.332 + 2_332 + 3insTTHetInsertionP[27]rs753360929
BBS4ex13c.1091C > Ap.(Ala364Glu)HetmissenseP[28]rs28938468
BBS8ex4c.254A > Gp.(Lys85Arg)HetmissenseVUSrs150880478
BBS2ex9c.986 T > Cp.(Met329Thr)HetmissenseVUSrs201146063
12FYesBBS6ex5 c.1235G > T p.(Cys412Phe)HomomissenseLP

Never previously reported nucleotide substitutions are in bold

Abbreviations: M male, F female, seg segregation performed, ex exon, int intron, dup duplication, del deletion, ins insertion, het heterozygous, homo homozygous, P pathogenic, LP likely pathogenic, LB likely benign, VUS variant unknown significance, fSNP functional single nucleotide polymorphism, Ref references, RS dbSNP accession number, MAF minor allele frequency

Bardet-Biedl syndrome patients with resolved genotype Never previously reported nucleotide substitutions are in bold Abbreviations: M male, F female, seg segregation performed, ex exon, int intron, dup duplication, del deletion, ins insertion, het heterozygous, homo homozygous, P pathogenic, LP likely pathogenic, LB likely benign, VUS variant unknown significance, fSNP functional single nucleotide polymorphism, Ref references, RS dbSNP accession number, MAF minor allele frequency

Statistical analysis

The relation between two class group variables was assessed by Fisher exact test.

Results

The 20 patients with Bardet-Biedl syndrome enrolled in this study were screened using a panel of 18 genes associated with the disease. We obtained the following results. No variants could be found in eight patients whose characteristics are described in Additional file 1: Table S3). We defined the causal variants in 12 patients (60%) (Table 1); 5 patients were confirmed to have a compound heterozygous variant in a BBS gene, while 7 patients where homozygous for the causative variant. In four cases the pathogenic variants were novel. We identified a novel compound heterozygous variant in BBS1 c.1285dup (p.(Arg429Profs*72); a likely pathogenic novel variant affecting the conserved residue 354 in the functional domain of BBS2 (c.1062C > G; p.(Asn354Lys)); a pathogenic new homozygous nucleotide change in BBS7 that leads to a stop codon in position 255, c.763A > T, and a likely pathogenic homozygous substitution c.1235G > T in BBS6, leading to the change p.(Cys412Phe). The novel variants were scored as pathogenic or likely pathogenic according to Richards et al. classification [18]. Four of the 12 patients in which the causative gene had been identified, also had potentially pathogenic variants in additional BBS genes suggesting oligogenic inheritance and a possible modifier effect. Three out of 4 patients presented variants in two additional genes, while patient #6 presented a variant with unknown significance (VUS) in BBS1 in addition to the “principal variants” in BBS12. Patient #4 presented “principal mutations” in BBS2 and additional functional polymorphism in BBS12 and a variant with unknown significance in INPP5; patient #10 presented additionally to the principal variant in BBS1, variants in BBS10 and BBS14, the first likely benign and the second with unknown significance; patients #11 with compound heterozygous variants in BBS4, presented additionally VUS in BBS8 and BBS2. Unlikely, we cannot document any influence on the phenotype severity in patient carrying additional variants in heterozygous state due to the small cohort of patients analysed and to the fact that all the variants were missense and with an uncertain role in disease manifestation. In our cohort, we had a prevalence of patients harbouring genetic variants in BBS10 (N = 4), two patients with variants in BBS2 and two in BBS12. The remaining four patients had their causative pathogenic variants in each of the following genes: BBS1, BBS4, BBS6, BBS7. The clinical characteristics of positive patients are reported in Table 2. Patients were predominantly males, and all were clinically diagnosed during childhood or adolescence (median age 21 months). All patients with a molecular diagnosis had polydactyly of one or both hands or feet, in most cases hexadactyly of feet as well as hands (N = 6) (Table 2 and Additional file 1: Table S2). All patients had cone-rod dystrophy / retinitis pigmentosa (CRD/RP), except one who had myopia and cataract (Additional file 1: Table S2), highlighting the fact that clinical diagnosis of BBS is often made when patients manifest ocular involvement. Other frequent clinical characteristics in our cohort were intellectual disability, hypogonadism, obesity and renal abnormalities (Additional file 1: Table S2). The cohort of negative patients was not statistically significantly different from the cohort of molecularly resolved patients (Additional file 1: Table S2).
Table 2

Clinical manifestations of Bardet-Biedl syndrome patients with resolved genotype

IDMain geneSexOnsetOcular diseaseBMI (Kg/m2)Intellectual disabilities affecting:HexadactylyAdditional featuresConsanguineityMean depth coverage (X)Target coverage at 25X
Cognitive skillsLanguage skillsMotor skillsHandsFeetRenal anomaliesHepatic steatosisHypercholesterolemiaHypogonadismOther
1BBS2M13 yrsRPOnononoyes, rightyes, bothnononoyesyes197.3797.3
2BBS10M6 yrsRPOnononoyes, bothnoyesN/KyesN/Kno190.696.5
3BBS7M6moCRDOmildmildmildyes, bothyes, bothyesN/KN/KyesN/K214.897.2
4BBS2aF2 yrsCRD + HM37, Omildmildmildyes, bothyes, bothnoyesnoyesyesno264.1397.5
5BBS10Msince birthHM + RP24.9, OWyesyesyesyes, bothyes, bothyesnonono184.696.8
6BBS12aFsince birthRPnoyesyesyesnoyes, bothyesnonoyesno226.1197.2
7BBS10F18moRP31.6, Onononoyes, leftnoyesnonono283.1898.3
8BBS10M17 yrsRP30.2, Oyesnononoyes, bothnonononono181.0397.0
9BBS12F5 yrsHM + C29.3, OWnononoyes, bothyes, bothnononono150.699.0
10BBS1aM28moRPOWnonononoyes, bothnononoyesno110.291.2
11BBS4aM6moRP26.4, OWyesyesyesyes, bothyes, bothnoyesnoyesno160.792.5
12BBS6M18moRP30, Onoyesnoyes, rightyes, bothnononoyesdistant kinship197.6193.2
Sister of 12BBS6F18moRP28.0, OWnonononoyes, leftnonononodistant kinship

Abbreviations: M male, F female, yrs. years, mo months, RP retinitis pigmentosa, CRD cone-rod dystrophy, HM high myopia, C cataract, O obese, OW overweight, N/K not known

aindicates an additional mutant BBS gene

Clinical manifestations of Bardet-Biedl syndrome patients with resolved genotype Abbreviations: M male, F female, yrs. years, mo months, RP retinitis pigmentosa, CRD cone-rod dystrophy, HM high myopia, C cataract, O obese, OW overweight, N/K not known aindicates an additional mutant BBS gene

Discussion

Bardet-Biedl syndrome, a ciliopathy with autosomal recessive/oligogenic inheritance shows high clinical variability and genetic heterogeneity. Although the postaxial polydactyly is evident at birth, clinical diagnosis is usually made when patients complain of visual distress. Genetic testing can help to confirm the diagnosis and enable prompt and effective clinical management. The molecular characterization of patients in addition can help to predict a grade of severity and to identify carrier’s family members with potential benefits of counselling. The targeted sequencing also has the advantage of allowing the identification of modifiers or genes with an epistatic effect that can shed light on phenotypic variability between and within families. Furthermore the molecular diagnosis can be fundamental for personalized medicine, aiming at the identification of patients potentially suitable for enrolment in any appropriate clinical trial that may become available in the future. In this direction, recent advances in gene therapy and personalized medicine have enabled significant advances in the development of potential therapies for BBS patients, although the number of genes involved and the variety of mutations identified in patients, often in the same family, has increased the challenge faced by researchers [29]. Our study was performed to increase the BBS mutation spectrum in a cohort of 20 unrelated Italian patients with BBS. Genetic diagnosis was obtained in 12/20 patients using a NGS targeted approach analysing simultaneously the 18 most frequently mutated genes associated with BBS to increase the detection rate and the understanding of the BBS phenotype through discovery of additional mutations in BBS genes that could explain differences in phenotype severity. The study revealed BBS10 gene mutations in a majority of our cohort (33%), in accordance with the percentages already reported in the literature [4]. Interestingly, we found just one patient with variants in BBS1, the most frequently detected gene in BBS patients [4, 30–32]. We identified a novel variant in BBS1 patient #10 c.1285dup (p.(Arg429Profs*72)) defined as pathogenic that segregates with phenotype together with c.46A > T (p.(Ser16Cys), defined as likely pathogenic. A new pathogenic variant in BBS2 affecting a conserved residue in the functional domain of BBsome protein (c.1062C > G; p.(Asn354Lys)) was found in compound heterozygous state in patient #1 together with the known pathogenic variant p.(Arg339*). A new homozygous nucleotide change in BBS7 that leads to a stop codon in position 255, c.763A > T, was identified in patient #3. BBS1, BBS2 and BBS7 share a partially overlapping portion of a functional domain, mutation of which results in the same disease phenotype [30]. New pathogenic variants of BBS2 and BBS7 lie in this portion. The variant in BBS7 is noteworthy, since very few Bardet-Biedl cases are reported in the literature. Indeed, only 35 variants [33] in this gene are listed in the Human Gene Mutation Database (HGMD, https://portal.biobase-international.com/cgi-bin/portal/login.cgi). A homozygous substitution c.1235G > T in BBS6, leading to p.(Cys412Phe), was also identified in an affected sibling of proband #12. Interestingly, the clinical severity of the phenotypes of the two siblings was different (Table 2), suggesting that these variants show intrafamilial variable expressivity or that the patient’s genetic background strongly influences phenotype. Interestingly, four of the twelve patients in which the causative gene had been identified, also had additional variants in BBS genes suggesting oligogenic inheritance and a possible modifier effect. However, we cannot document any influence on the phenotype severity in patient carrying additional variants in heterozygous state due to the small cohort of patients analysed and to the fact that all the variants were missense and with an uncertain role in disease manifestation. Our results are concordant with the results obtained also by other authors: the impact of the additional heterozygous variant remains elusive since it is very difficult to determine the contribution of the third allele to the phenotype. Available studies compare different kind of mutations, with different impact on the protein in small cohorts with high genetic heterogeneity [32, 34]. Moreover, in our cohort, we do not present family members with difference in the genetic background that could help shed light on the triallelic inheritance hypothesis [30]. In order to explore the function of different genes involved in BBS we looked for possible correlations in our cohort dividing patients with a molecular diagnosis with variants in BBSome genes or with variants in BBSome chaperonin genes. The clinical phenotype spectrum is wide (different type of mutations on different genes) and we did not observe any correlation between characteristic of patients probably due to the small number of patients analysed. This limits the possibility to highlight genotype-phenotype correlation with a statistical significance. Previous study have not identified any correlation between individual genotypes and phenotype [35, 36]. Interestingly, Billingsley et al. stated that patients with mutations in BBS10 or 12 had a similar phenotype, supporting our sorting of patients [33]. Characteristics such as obesity and intellectual impairment or retinal degeneration affected patients with mutations in genes of the BBSome or coding for BBSome chaperonin with the same frequencies. Hypogonadism (manifesting as genital anomalies in females and small penis buried in adipose tissue with undescended testes in males [11]) was more frequent in patients with variants in BBSome protein, whereas renal abnormalities were mostly present in patients with variations in BBSome chaperonin genes [12] (Table 3). Patients with renal anomalies should therefore be screened mainly in BBS10, BBS12, BBS6 and those with hypogonadism for variants in BBSome genes. Clinicians should also closely monitor patients harbouring mutations in BBS10, BBS12, BBS6 to favour early detection of those with renal anomalies, at risk of kidney failure and sudden death.
Table 3

Genotype/Phenotype correlations

BBSomeBBSome chaperoninFisher’s exact test
Obesity3/5 (60%)4/7 (57.1%)P = 1.0
Intellectual impairment3/5 (60%)4/7 (57.1%)P = 1.0
Renal abnormalities1/5(20%)4/7 (57.1%)P = 0.6
Hypogonadism5/5 (100%)2/7 (28.5%)P = 0.35
Genotype/Phenotype correlations In our cohort, hexadactyly was found in all patients with a molecular diagnosis. Confirming the results of Beales et al., polydactyly of the toes was more common than that of the fingers in our cohort (11vs9), and both feet more often had polydactyly than both hands (90% vs 66%) [13].

Conclusion

In conclusion, our results demonstrate that NGS panels are a fast and effective way of obtaining high diagnostic yields in diseases, such as BBS, caused by mutations in many genes. They also provide information on other mutant genes in addition to the causative one. Genetic testing can provide insights into the pathways involved in the disease and aid the development of targeted therapy, which needs to begin with the first eye symptoms, before extensive photoreceptor damage. When feasible, NGS should be considered the elective method of genetic testing to confirm any hypothesis of tri-allelic inheritance. Our results are further evidence that BBS is extremely heterogeneous: by describing four new variants we extend the mutational spectrum of known BBS genes and contribute information on genotype-phenotype correlations. Finally, the fact that 40% of our patients did not have any mutation in the 18 known screened genes, leads us to the consideration that although being the best available approach, targeted NGS do not allow the detection of (i) deeply intronic variants that could have an effect either on the splicing or expression of the genes; (ii) large gene rearrangements nor (iv) the analysis of additional responsible loci yet to be identified. In addition given the fact that there is a significant overlap between clinical sign and mutated genes within BBS and other ciliopathies such as McKusick-Kaufman syndrome (MKKS; OMIM 604896), Alstrom syndrome (ALMS; OMIM 203800), Meckel-Gruber syndrome (MKS; OMIM 249000, 603294, 607361, 611134), and Joubert syndrome (JBTS; OMIM 213300, 608,091, 608629, 609583, 610688, 611560, 612291, 612285, 300804) we cannot exclude that our negative patients presented variants in genes more associated to the other syndromes and that were not sequenced. Table S1. List of genes in the NGS panel. Table S2. Distribution of BBS diagnostic criteria in patients with molecular diagnosis. Table S3. Clinical manifestations of Bardet-Biedl syndrome patients with unresolved genotype. Abbreviations: M, male; F, female; yrs., years; mo, months; RP retinitis pigmentosa; CRD, cone-rod dystrophy; HM, high myopia; O, obese; OW, overweight; N/K, not known. (DOCX 28 kb) Mutation analysis. The DNA probe set was designed using specific Illumina DesignStudio online tool (https://designstudio.illumina.com/). (DOCX 14 kb)
  34 in total

Review 1.  The oligogenic properties of Bardet-Biedl syndrome.

Authors:  Nicholas Katsanis
Journal:  Hum Mol Genet       Date:  2004-02-19       Impact factor: 6.150

2.  Identification of a novel BBS gene (BBS12) highlights the major role of a vertebrate-specific branch of chaperonin-related proteins in Bardet-Biedl syndrome.

Authors:  Corinne Stoetzel; Jean Muller; Virginie Laurier; Erica E Davis; Norann A Zaghloul; Serge Vicaire; Cecile Jacquelin; Frederic Plewniak; Carmen C Leitch; Pierre Sarda; Christian Hamel; Thomy J L de Ravel; Richard Alan Lewis; Evelyne Friederich; Christelle Thibault; Jean-Marc Danse; Alain Verloes; Dominique Bonneau; Nicholas Katsanis; Olivier Poch; Jean-Louis Mandel; Helene Dollfus
Journal:  Am J Hum Genet       Date:  2006-11-15       Impact factor: 11.025

Review 3.  Overview of structure and function of mammalian cilia.

Authors:  Peter Satir; Søren Tvorup Christensen
Journal:  Annu Rev Physiol       Date:  2007       Impact factor: 19.318

4.  New criteria for improved diagnosis of Bardet-Biedl syndrome: results of a population survey.

Authors:  P L Beales; N Elcioglu; A S Woolf; D Parker; F A Flinter
Journal:  J Med Genet       Date:  1999-06       Impact factor: 6.318

5.  BBS4 is a minor contributor to Bardet-Biedl syndrome and may also participate in triallelic inheritance.

Authors:  Nicholas Katsanis; Erica R Eichers; Stephen J Ansley; Richard Alan Lewis; Hülya Kayserili; Bethan E Hoskins; Peter J Scambler; Philip L Beales; James R Lupski
Journal:  Am J Hum Genet       Date:  2002-05-15       Impact factor: 11.025

6.  Positional cloning of a novel gene on chromosome 16q causing Bardet-Biedl syndrome (BBS2).

Authors:  D Y Nishimura; C C Searby; R Carmi; K Elbedour; L Van Maldergem; A B Fulton; B L Lam; B R Powell; R E Swiderski; K E Bugge; N B Haider; A E Kwitek-Black; L Ying; D M Duhl; S W Gorman; E Heon; A Iannaccone; D Bonneau; L G Biesecker; S G Jacobson; E M Stone; V C Sheffield
Journal:  Hum Mol Genet       Date:  2001-04-01       Impact factor: 6.150

7.  Identification of a novel Bardet-Biedl syndrome protein, BBS7, that shares structural features with BBS1 and BBS2.

Authors:  José L Badano; Stephen J Ansley; Carmen C Leitch; Richard Alan Lewis; James R Lupski; Nicholas Katsanis
Journal:  Am J Hum Genet       Date:  2003-02-03       Impact factor: 11.025

8.  Genetic interaction of BBS1 mutations with alleles at other BBS loci can result in non-Mendelian Bardet-Biedl syndrome.

Authors:  Philip L Beales; Jose L Badano; Alison J Ross; Stephen J Ansley; Bethan E Hoskins; Brigitta Kirsten; Charles A Mein; Philippe Froguel; Peter J Scambler; Richard Alan Lewis; James R Lupski; Nicholas Katsanis
Journal:  Am J Hum Genet       Date:  2003-04-03       Impact factor: 11.025

9.  Dissection of epistasis in oligogenic Bardet-Biedl syndrome.

Authors:  Jose L Badano; Carmen C Leitch; Stephen J Ansley; Helen May-Simera; Shaneka Lawson; Richard Alan Lewis; Philip L Beales; Harry C Dietz; Shannon Fisher; Nicholas Katsanis
Journal:  Nature       Date:  2005-12-04       Impact factor: 49.962

10.  BBS10 encodes a vertebrate-specific chaperonin-like protein and is a major BBS locus.

Authors:  Corinne Stoetzel; Virginie Laurier; Erica E Davis; Jean Muller; Suzanne Rix; José L Badano; Carmen C Leitch; Nabiha Salem; Eliane Chouery; Sandra Corbani; Nadine Jalk; Serge Vicaire; Pierre Sarda; Christian Hamel; Didier Lacombe; Muriel Holder; Sylvie Odent; Susan Holder; Alice S Brooks; Nursel H Elcioglu; Eduardo D Silva; Eduardo Da Silva; Béatrice Rossillion; Sabine Sigaudy; Thomy J L de Ravel; Richard Alan Lewis; Bruno Leheup; Alain Verloes; Patrizia Amati-Bonneau; André Mégarbané; Olivier Poch; Dominique Bonneau; Philip L Beales; Jean-Louis Mandel; Nicholas Katsanis; Hélène Dollfus
Journal:  Nat Genet       Date:  2006-04-02       Impact factor: 38.330

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  12 in total

1.  Clinical characteristics and ultra-widefield fundus image analysis of two siblings with Bardet-Biedl syndrome type 1 p.Met390Arg variant.

Authors:  Sofia M Muns; Lorena A Montalvo; Jose G Vargas Del Valle; Meliza Martinez; Armando L Oliver; Natalio J Izquierdo
Journal:  Am J Ophthalmol Case Rep       Date:  2020-09-18

2.  Generation and characterization of Ccdc28b mutant mice links the Bardet-Biedl associated gene with mild social behavioral phenotypes.

Authors:  Matías Fabregat; Sofía Niño-Rivero; Sabrina Pose; Magdalena Cárdenas-Rodríguez; Mariana Bresque; Karina Hernández; Victoria Prieto-Echagüe; Geraldine Schlapp; Martina Crispo; Patricia Lagos; Natalia Lago; Carlos Escande; Florencia Irigoín; Jose L Badano
Journal:  PLoS Genet       Date:  2022-06-02       Impact factor: 6.020

3.  Gene therapy rescues olfactory perception in a clinically relevant ciliopathy model of Bardet-Biedl syndrome.

Authors:  Chao Xie; Julien C Habif; Cedric R Uytingco; Kirill Ukhanov; Lian Zhang; Carlos de Celis; Val C Sheffield; Jeffrey R Martens
Journal:  FASEB J       Date:  2021-09       Impact factor: 5.191

4.  Next-Generation Sequencing in the Diagnosis of Patients with Bardet-Biedl Syndrome-New Variants and Relationship with Hyperglycemia and Insulin Resistance.

Authors:  Krzysztof Jeziorny; Karolina Antosik; Paulina Jakiel; Wojciech Młynarski; Maciej Borowiec; Agnieszka Zmysłowska
Journal:  Genes (Basel)       Date:  2020-10-29       Impact factor: 4.096

5.  Investigation on the role of biallelic variants in VEGF-C found in a patient affected by Milroy-like lymphedema.

Authors:  Sylvain Mukenge; Sawan K Jha; Marco Catena; Elena Manara; Veli-Matti Leppänen; Elisa Lenti; Daniela Negrini; Matteo Bertelli; Andrea Brendolan; Michael Jeltsch; Luca Aldrighetti
Journal:  Mol Genet Genomic Med       Date:  2020-06-26       Impact factor: 2.183

6.  Expanding the Clinical and Genetic Spectrum of RAB28-Related Cone-Rod Dystrophy: Pathogenicity of Novel Variants in Italian Families.

Authors:  Giancarlo Iarossi; Valerio Marino; Paolo Enrico Maltese; Leonardo Colombo; Fabiana D'Esposito; Elena Manara; Kristjana Dhuli; Antonio Mattia Modarelli; Gilda Cennamo; Adriano Magli; Daniele Dell'Orco; Matteo Bertelli
Journal:  Int J Mol Sci       Date:  2020-12-31       Impact factor: 5.923

7.  Identification of a Novel Homozygous Missense (c.443A>T:p.N148I) Mutation in BBS2 in a Kashmiri Family with Bardet-Biedl Syndrome.

Authors:  Ghazanfar Ali; Jia Nee Foo; Abdul Nasir; Chu-Hua Chang; Elaine GuoYan Chew; Zahid Latif; Zahid Azeem; Syeda Ain-Ul-Batool; Syed Akif Raza Kazmi; Naheed Bashir Awan; Abdul Hameed Khan; Fazal-Ur- Rehman; Madiha Khalid; Abdul Wali; Samina Sarwar; Wasim Akhtar; Ansar Ahmed Abbasi; Rameez Nisar
Journal:  Biomed Res Int       Date:  2021-02-23       Impact factor: 3.411

Review 8.  Impact of Genetic Variations and Epigenetic Mechanisms on the Risk of Obesity.

Authors:  Martina Chiurazzi; Mauro Cozzolino; Roberta Clara Orsini; Martina Di Maro; Matteo Nicola Dario Di Minno; Antonio Colantuoni
Journal:  Int J Mol Sci       Date:  2020-11-27       Impact factor: 5.923

9.  NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Authors:  I Perea-Romero; F Blanco-Kelly; I Sanchez-Navarro; I Lorda-Sanchez; S Tahsin-Swafiri; A Avila-Fernandez; I Martin-Merida; M J Trujillo-Tiebas; R Lopez-Rodriguez; M Rodriguez de Alba; I F Iancu; R Romero; M Quinodoz; H Hakonarson; Blanca Garcia-Sandova; P Minguez; M Corton; C Rivolta; C Ayuso
Journal:  Hum Genet       Date:  2021-08-26       Impact factor: 4.132

10.  A mouse model of BBS identifies developmental and homeostatic effects of BBS5 mutation and identifies novel pituitary abnormalities.

Authors:  Melissa R Bentley-Ford; Staci E Engle; Kelsey R Clearman; Courtney J Haycraft; Reagan S Andersen; Mandy J Croyle; Addison B Rains; Nicolas F Berbari; Bradley K Yoder
Journal:  Hum Mol Genet       Date:  2021-04-26       Impact factor: 6.150

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