Design and validation of a pericentromeric BAC clone set aimed at improving diagnosis and phenotype prediction of supernumerary marker chromosomes
- Chiara Castronovo1Email author,
- Emanuele Valtorta1,
- Milena Crippa1,
- Sara Tedoldi2,
- Lorenza Romitti3,
- Maria Cristina Amione4,
- Silvana Guerneri5,
- Daniela Rusconi1,
- Lucia Ballarati1,
- Donatella Milani6,
- Enrico Grosso4,
- Pietro Cavalli2,
- Daniela Giardino1,
- Maria Teresa Bonati7,
- Lidia Larizza1, 8 and
- Palma Finelli1, 9
© Castronovo et al.; licensee BioMed Central Ltd. 2013
Received: 8 August 2013
Accepted: 8 October 2013
Published: 30 October 2013
Small supernumerary marker chromosomes (sSMCs) are additional, structurally abnormal chromosomes, generally smaller than chromosome 20 of the same metaphase spread. Due to their small size, they are difficult to characterize by conventional cytogenetics alone. In regard to their clinical effects, sSMCs are a heterogeneous group: in particular, sSMCs containing pericentromeric euchromatin are likely to be associated with abnormal outcomes, although exceptions have been reported. To improve characterization of the genetic content of sSMCs, several approaches might be applied based on different molecular and molecular-cytogenetic assays, e.g., fluorescent in situ hybridization (FISH), array-based comparative genomic hybridization (array CGH), and multiplex ligation-dependent probe amplification (MLPA).
To provide a complementary tool for the characterization of sSMCs, we constructed and validated a new, FISH-based, pericentromeric Bacterial Artificial Chromosome (BAC) clone set that with a high resolution spans the most proximal euchromatic sequences of all human chromosome arms, excluding the acrocentric short arms.
By FISH analysis, we assayed 561 pericentromeric BAC probes and excluded 75 that showed a wrong chromosomal localization. The remaining 486 probes were used to establish 43 BAC-based pericentromeric panels. Each panel consists of a core, which with a high resolution covers the most proximal euchromatic ~0.7 Mb (on average) of each chromosome arm and generally bridges the heterochromatin/euchromatin junction, as well as clones located proximally and distally to the core. The pericentromeric clone set was subsequently validated by the characterization of 19 sSMCs. Using the core probes, we could rapidly distinguish between heterochromatic (1/19) and euchromatic (11/19) sSMCs, and estimate the euchromatic DNA content, which ranged from approximately 0.13 to more than 10 Mb. The characterization was not completed for seven sSMCs due to a lack of information about the covered region in the reference sequence (1/19) or sample insufficiency (6/19).
Our results demonstrate that this pericentromeric clone set is useful as an alternative tool for sSMC characterization, primarily in cases of very small SMCs that contain either heterochromatin exclusively or a tiny amount of euchromatic sequence, and also in cases of low-level or cryptic mosaicism. The resulting data will foster knowledge of human proximal euchromatic regions involved in chromosomal imbalances, thereby improving genotype–phenotype correlations.
KeywordsSmall supernumerary marker chromosomes Pericentromeric clone set Heterochromatin/euchromatin boundary FISH analysis Array CGH analysis Phenotype prediction
Small supernumerary marker chromosomes (sSMCs) are additional centric chromosomal segments that are difficult to characterize by conventional cytogenetics alone due to their small size . Excluding the sSMCs associated with five well-known syndromes (Pallister-Killian, isodicentric chromosome 15q , isochromosome 18p, Cat Eye [i(22p ~ q)], and derivative chromosome 22 [der(22)t(11;22)] syndromes ), the overall risk for a pathological phenotype in prenatal de novo cases is 26–30% .
The phenotypic expression of sSMCs ranges from asymptomatic to symptomatic, and depends on several factors including chromosomal origin, satellite vs. non-satellite inclusion, euchromatic/heterochromatic content, uniparental disomy (UPD) of the chromosomes homologous to the sSMC, and mosaicism . Furthermore, the presence of centromere-proximal euchromatin on an sSMC correlates with abnormal phenotypes, although several exceptions have been described . Since the optimal strategies for genetic counseling and clinical management depend on the characteristics of sSMCs, it is vitally important to precisely characterize sSMCs in order to obtain additional information regarding their phenotypic effects. To this end, several fluorescent in situ hybridization (FISH)-based techniques have been developed over the years  for determining the origin of sSMCs and allowing breakpoint characterization, at least in cases of larger euchromatic SMCs. These methods include multicolor FISH (M-FISH) , spectral karyotyping (SKY) , centromere- and subcentromere-specific M-FISH (cenM-FISH and subcenM-FISH) [3, 8, 9], multicolor banding , and microdissection followed by reverse FISH [11, 12]. More recently, a pericentric-ladder-FISH (PCL-FISH) probe set has been developed based on 174 locus-specific BAC probes, and this probe set has been used in dual-color/multicolor–FISH approaches. This tool is specific for the pericentromeric regions and, therefore, enables sSMC breakpoint characterization with a resolution between 1 and ~10 Mb .
Furthermore, array-based comparative genomic hybridization (array CGH) analysis has been extensively used in sSMC characterization. This method allows, in a single experiment, determination of the marker chromosomal origin, definition of the size of aberrations (including euchromatic regions), and identification of complex rearrangements or multiple markers in single individuals [14–20]. However, array CGH may fail to identify the origins of very small SMCs in up to 50% of cases because its pericentromeric coverage is limited to the presence of segmental duplications, and it may also be unable to detect low-level and cryptic mosaicism [13, 19–21]. Consequently, it is necessary to complement array CGH using FISH approaches [13, 22]. In addition, to allow rapid discrimination between sSMCs that are positive or negative for unique sequences, an alternative approach using multiplex ligation-dependent probe amplification (MLPA) analysis has recently been developed for use in the context of prenatal diagnosis .
In this study, we report the design and validation of a new pericentromeric Bacterial Artificial Chromosome (BAC) clone set that covers the most proximal euchromatic sequences of all human chromosome arms, as well as the heterochromatin/euchromatin junctions, excluding the short arms of acrocentric chromosomes. This set was designed to improve molecular characterization of sSMCs by FISH analysis, a molecular-cytogenetic technique that, in contrast to array CGH, is available in most cytogenetic laboratories. This new complementary tool will be especially useful in cases of low-level mosaicism and/or very small marker chromosomes, which are likely to consist entirely of heterochromatin or contain only a tiny amount of euchromatic sequence, as demonstrated by some reported sSMC cases.
Setting up 43 pericentromeric BAC probe panels
Pericentromeric euchromatic coverage of the high-resolution BAC-based core panels
Heterochromatic region starting position (Mb) a
Heterochromatic region ending position (Mb) a
Proximal euchromatic BAC clone belonging to the core panel
Distance between heterochromatic region and proximal euchromatic core BAC clone (Mb) b
Distal euchromatic BAC clone belonging to the core panel
Distance between proximal and distal euchromatic core BAC clones (Mb) c
RP11-803J8 at 1p11.2
CTD-3138A9 at 1p12-p11.2
RP11-15M9 at 1q21.1
CTD-2326L14 at 1q21.1
CTD-2269O20 at 2p11.2-p11.1
RP11-1023H22 at 2p11.2
RP11-139J5 at 2q11.1-q11.2
RP11-245P4 at 2q11.2
RP11-424C9 at 3p11.2-p11.1
RP11-598A10 at 3p12.1-p11.2
RP11-259L20 at 3q11.1-q11.2
RP11-625F19 at 3q11.2
RP11-260K18 at 4p12-p11
CTD-2057N12 at 4p12
RP11-98B6 at 4q11-q12
RP11-600M5 at 4q12
RP11-10F16 at 5p12-p11
RP11-134N5 at 5p12
RP11-463E10 at 5q11.1-q11.2
CTD-3113M11 at 5q11.2
RP11-136G2 at 6p11.2-p11.1
RP11-799H20 at 6p11.2
RP11-448N11 at 6q11.1-q11.2
RP11-78B14 at 6q12
CTD-2593N8 at 7p11.2-p11.1
RP11-114G11 at 7p11.2
CTD-2245O1 at 7q11.1-q11.21
RP11-45N18 at 7q11.21
RP11-73M19 at 8p11.21-p11.1
RP11-577C12 at 8p11.21
CTD-2563N10 at 8q11.1-q11.21
RP11-367A12 at 8q11.21
RP11-606B18 at 9p11.2
RP11-361G22 at 9p11.2
CTD-2508M5 at 9q12-q13
CTD-2050L17 at 9q13
CTD-3195G22 at 10p11.21-p11.1
RP11-739D18 at 10p11.21
RP11-80L2 at 10q11.21
RP11-351D16 at 10q11.21
RP11-100E23 at 11p11.12
RP11-318O24 at 11p11.12
CTD-3202L3 at 11q11-q12.1
RP11-720L5 at 11q12.1
RP11-460N10 at 12p11.21-p11.1
RP11-8P13 at 12p11.21
RP11-496H24 at 12q11-q12
RP11-715M8 at 12q12
RP11-294G16 at 13q11-q12.11
RP11-71I1 at 13q12.11
RP11-639F13 at 14q11.1-q11.2
RP11-77E23 at 14q11.2
RP11-108C1 at 15q11.1-q11.2
RP11-666L22 at 15q11.2
RP11-488I20 at 16p11.2-p11.2
RP11-1088B6 at 16p11.2
RP11-627O2 at 16q11.2-q12.1
RP11-671L23 at 16q12.1
RP11-718K3 at 17p11.2-p11.1
RP11-937K3 at 17p11.2
RP11-1049N9 at 17 q11.1-q11.2
RP11-59G20 at 17q 11.2
RP11-1133K23 at 18p11.21-p11.1
RP11-1025M21 at 18p11.21
RP11-746M23 at 18q11.1-q11.2
RP11-60G3 at 18q11.2
RP11-350E11 at 19p12-p11
RP11-642I13 at 19p12
CTD-2045N7 at 19q11-q12
RP11-347I6 at 19q12
RP11-161K13 at 20p11.21-p11.1
RP11-156D15 at 20p11.21
CTD-2311M18 at 20q11.21
RP11-1147I19 at 20q11.21
RP11-203F20 at 21q11.2
RP11-1025M7 at 21q11.2
RP11-958H20 at 22q11.1-q11.21
RP11-81B3 at 22q11.21
CTD-2225J11 at Xp11.21-p11.1
RP11-936C8 at Xp11.21
RP11-943J20 at Xq11.1-q11.2
RP11-284B18 at Xq11.2
RP11-108I14 at Yp11.2
RP11-1100G7 at Yq11.1-q11.21
RP11-91N9 at Yq11.21
Molecular-cytogenetic characterization of 19 sSMCs
The utility of the clone set was then validated by the molecular characterization of 19 sSMCs, six of which were ascertained during routine prenatal testing (Additional file 2: Table S2). Nine sSMCs (~47%) were derived from acrocentric chromosomes, six (~32%) were inherited (patients 6, 8, 10–13), of which two were detected in two siblings (patients 10 and 11) and are complex marker chromosomes originating from a maternal balanced rearrangement. Multiple markers occurred in a single adult patient (5%) (patient 15). Mosaicism was detected in seven patients (~37%) (patients 1–5, 15, and 18), in most cases involving non-acrocentric chromosomes. Uniparental disomy (UPD) analysis of sSMC sister chromosomes was not performed. Details of sSMC characterization are provided in Additional file 2: Table S2.
In two patients, we detected large marker chromosomes in high-level mosaicism, as follows: a ring chromosome 4 [r(4)] in patient 3, and an r(11) in patient 5 (Additional file 2: Table S2, Figure 2). The molecular characterization of these SMCs was performed using the panel probes and subsequently refined by array CGH analysis, which allowed a more precise definition of the breakpoints. In particular, the chromosome 4p breakpoint was mapped between BAC probes RP11-89F4 and RP11-178N2 (chr4:44,621,297 − 45,736,237, hg19) (Figure 2B), and then narrowed down by array CGH to a 236 kb region between oligonucleotide probes A_14_P127561 and A_14_P128650 (chr4:45,518,972 − 45,754,992, hg19); thus, the breakpoint was mapped at ~45.5–45.7 Mb from the 4p telomere (chr4:45,518,972–45,736,237, hg19) (Additional file 2: Table S2, Figure 2A). Similarly, the 4q breakpoint was mapped between BACs RP11-91C3 (Figure 2C) and RP11-63E13 (chr4:61,086,318–66,600,553, hg19), and the position was then refined to a location between oligonucleotides A_14_P137150 and A_14_P133582 (chr4:61,126,608–61,343,360, hg19) (Additional file 2: Table S2, Figure 2A). For sSRC(11), the 11p breakpoint was mapped between BACs RP11-1062A8 and RP11-746P9 (chr11:49,259,387–50,111,641, hg19) (Figure 2E), and then refined between oligonucleotides A_14_P126799 and A_14_P134986 (chr11:49,919,441–50,378,743, hg19); thus, this breakpoint mapped precisely at 49.9 − 50.1 Mb from the 11p telomere (chr11:49,919,441–50,111,641, hg19) (Additional file 2: Table S2, Figure 2D). The 11q breakpoint was characterized only by array CGH because the 11q panel probes were not informative due to their proximal position (Additional file 2: Table S2, Figure 2D,F). No further cryptic genomic imbalances were detected in either patient.
Pericentromeric regions of human chromosomes are transitional territories between centromeric heterochromatin and euchromatic regions. They represent complex mosaic structures, including coding sequences interspersed with non-coding sequences . Therefore, sequencing of these regions is technically difficult, and a complementary approach is necessary to clarify their role in human disease.
sSMCs generally contain a centromeric/pericentromeric region, and their precise characterization is a powerful tool for identifying which genomic regions lead to abnormalities when they are affected by dosage imbalances. Over the years, numerous FISH-based approaches have been developed, and these methods have contributed to improvements in sSMC characterization. However, assays such as M-FISH/SKY [6, 7], cenM-FISH  and subcenM-FISH [3, 9] are limited to the identification of the sSMC chromosomal origin or the characterization of larger euchromatic SMCs, and only the use of FISH-banding or locus-specific probes [13, 25, 26] can improve breakpoint characterization [13, 27, 28]. In particular, the PCL-FISH probe set, recently developed by Hamid et al., (2012) , is a bar-code FISH assay that constitutes a 10 Mb raster along pericentromeric chromosomal regions, allowing the determination of mosaic and non-mosaic sSMC breakpoints within genomic regions of 1–10 Mb in size. In addition, this approach has been particularly useful in characterizing cryptic mosaic sSMCs , and for easily defining all involved breakpoints . However, because it covers the most proximal 1 Mb of euchromatic sequences of each chromosome arm with a very low resolution, PCL-FISH is not useful for the characterization of very small SMCs that contain only tiny amounts of euchromatic sequence . Likewise, a more sensitive technique such as array CGH, which can significantly narrow down sSMC breakpoints [14–20, 30], can still yield incomplete pericentromeric coverage due to the presence of large duplicated sequences. Moreover, array CGH cannot detect low-level and/or cryptic mosaic sSMCs.
Therefore, in order to provide a complementary tool for sSMC characterization, we established a FISH-based pericentromeric BAC clone set, including probes that cover the most proximal euchromatic ~0.7 Mb (on average) of each chromosome arm at a high resolution. The pericentromeric probe set also includes probes that bridge the heterochromatin/euchromatin junctions (Table 1 and Additional file 1: Table S1), enabling rapid discrimination between euchromatic (11/19 in the present series) and heterochromatic (1/19) sSMCs, irrespective of marker chromosome origin (Additional file 2: Table S2). The most proximal probes were chosen independently of the presence of segmental duplications, with the exceptions of chromosomes 1q and 9p, where pericentromeric paralogous segmental duplications have been detected. As expected, a significant percentage of the assayed probes (~13%) were mislocalized, supporting the need for the large screening effort we performed to verify the predicted physical position of each clone. As previously reported for PCL-FISH , we confirmed the utility of our new BAC-probe set in characterizing low-level mosaic sSMCs (Additional file 2: Table S2), suggesting that this approach could be applied to breakpoint identification in cases of cryptic mosaic sSMCs; however, no pertinent cases are present in the series reported here.
In terms of genotype–phenotype correlation, the data we collected regarding sSMC characterization allowed us to confirm the existence of pericentromeric euchromatic critical and noncritical regions surrounding the centromeres of all chromosome arms, i.e., regions in which trisomy or tetrasomy either does or does not correlate with pathological phenotypes . Accordingly, we declare no clinical signs reported in association with acrocentric sSMCs that have breakpoints localized in predicted pericentromeric noncritical regions [4, 14, 16, 22, 31] (patients 6–9, 12, and 13), with the exception of patient 7, who exhibited a growth delay likely not associated with the sSMC (Additional file 2: Table S2). Furthermore, in siblings 10 and 11, the 14q breakpoint characterization was useful in linking the reported clinical findings specifically to trisomy of 6pter-p25 (Additional file 2: Table S2). By contrast, we classified the larger idic(22;22) marker chromosomes (patients 16–18) as type I Cat Eye Syndrome (CES) chromosomes, which results in the CES phenotype , as confirmed in patient 17 (Additional file 2: Table S2). In addition, in patient 18, the molecular characterization of idic(22;22) revealed asymmetrical breakpoints that resulted in both a tetrasomy of ~750 kb, which featured the gap reported between the end of the noncritical region and the start of the critical region , and a trisomy of ~150–400 kb of euchromatic sequences that are included within the 22q predicted critical region  (Additional file 2: Table S2, Figure 3E,F). These observations suggest that the mild phenotype of patient 18, relative to the classical CES clinical presentation, can be at least partially attributed to trisomy rather than tetrasomy of the same euchromatic region, combined with low-level mosaicism of sSMC(22) (Additional file 2: Table S2).
Among the non-acrocentric marker chromosomes collected in our series, the SMC characterization revealed breakpoints within pericentromeric noncritical regions in two cases [4, 14–16, 20, 22, 33, 34], consistent with the observation that the corresponding patients (3 and 15) had normal phenotypes (Figures 2A–C and 3A–D, Additional file 2: Table S2). Notably, the association of sSMC(2) and sSMC(18) observed in patient 15 has not been previously reported. By performing FISH analysis, we identified pericentromeric segmental duplications shared by chromosomes 2 and 18 (Figure 3A–D), and hypothesized that a complex genomic rearrangement had occurred between those two chromosomes, resulting in sSMC formation and in the simultaneous deletion of the sequence covered by probe RP11-134N21 from sSMC(2) (Figure 3D, Additional file 2: Table S2).
In regard to pathological non-acrocentric sSMCs, our molecular characterization helped us to either refine or confirm the boundaries of the predicted critical regions and to improve genotype–phenotype correlations. For example, characterization of patient 2’s mosaic sSRC(1) indicated possible trisomy of 1p12–q21.1 chromosomal region, involving at most ~1.91 Mb of euchromatic sequences at 1q21.1 (Additional file 2: Table S2). Although the boundaries between the critical and noncritical regions on 1q are not yet available , we propose that trisomy of 1q21.1 might be responsible for patient 2’s phenotype (Additional file 2: Table S2), as suggested by previous data [3, 9, 35–38]. However, neurological abnormalities like those exhibited by our patient have been previously reported in patients carrying mosaic sSMC(1), resulting in trisomy of the 1p12–q12 region. In those cases, the 1q breakpoints were mapped within the 1q12 heterochromatic region, suggesting that the 1p trisomy was responsible for the pathological phenotype [3, 8, 9, 39].
Both breakpoints of patient 5’s SRC(11) were inferred to have occurred in the pericentromeric critical regions, leading to mosaic trisomy of the 11p11.12–q13.1 region (Additional file 2: Table S2, Figure 2E,F). To date, only one patient (11-W-p11.12/3-1 in the sSMC database ) has been reported to have a mosaic sSRC(11) characterized by breakpoints mapped within the same chromosomal bands found in our patient . The reported pathological clinical presentation, characterized by dysmorphism and severe developmental delay, resembles that observed in patient 5 (Additional file 2: Table S2), confirming the pathogenetic role of mosaic trisomy of 11p11.12–q13.1.
Finally, sSMC(10) of patient 4 and sSRC(16) of patient 14 were both ascertained during prenatal testing. The sSRC(16) exclusively involved centromeric heterochromatin (Additional file 2: Table S2, Figure 1C, D), leading the parents to continue the pregnancy, which ended with the birth of a normal baby. By contrast, the sSMC(10) resulted in mosaic trisomy of the 10p11.23–q11.21 region (Additional file 2: Table S2, Figure 1A,B). We considered that a pathological phenotype might arise due to trisomy of at least 3.6 Mb of 10p proximal euchromatic sequences because the 10q breakpoint mapped in the predicted noncritical region [4, 17, 40]. This hypothesis was subsequently confirmed by the patient’s neonatal phenotype (Additional file 2: Table S2).
To summarize, our data demonstrate the potential value of our pericentromeric clone set for characterization of sSMCs in both prenatal and postnatal diagnostics. Due to the fact that the established resource covers all available pericentromeric regions, it may be particularly useful in cases of very small marker chromosomes, allowing rapid discrimination between heterochromatic and euchromatic sSMCs, as well as precise sizing of imbalances. We also demonstrated the complementarity of FISH analysis using the pericentromeric clone set with array CGH analysis in the characterization of large marker chromosomes.
Apart from ad hoc combinations of different methods, performed when requested, FISH analysis is currently the only available technique for analyzing sSMCs in low or cryptic mosaicism. However, to use this probe set in prenatal cases, cytogenetic labs need to have sufficient resources to store the BAC clones and prepare the probes within a short time. Therefore, although application of this tool in prenatal diagnosis would be beneficial, we strongly recommend that it is used in research aimed at increasing our knowledge of the imbalances of human proximal euchromatic regions, thereby improving genotype–phenotype correlations and the assessment of the genetic risks of supernumerary marker chromosomes.
Chromosomal samples from peripheral blood lymphocytes and amniotic fluid were collected from five cytogenetic labs. All samples were previously karyotyped by conventional cytogenetics (Q- or G-banding), and the sSMC origin was previously identified by FISH analysis using commercial centromere-specific probes (Vysis, Maidenhead, UK), following the manufacturer’s instructions. In both cases, at least 16 metaphases were analyzed.
RPCI-11 and CTD BAC clones covering the pericentromeric genomic regions of human chromosome arms were selected by consulting the UCSC Genome Browser Database (http://genome.cse.ucsc.edu, hg19, February 2009). Clones were provided by Prof. Mariano Rocchi, University of Bari (IT) and Invitrogen (Carlsbad, CA, USA). The probes’ physical positions were verified on a few control metaphases derived from peripheral blood lymphocytes. All probes were labeled by nick-translation with biotin (Hoffman-La Roche, Basel, Switzerland), digoxigenin (Hoffman-La Roche), or Cy3 (Amersham Biosciences, Chalfont St. Giles, UK), and then visualized using FITC–anti-digoxigenin antibodies (Hoffman-La Roche) or streptavidin-DEAC (Sigma-Aldrich, St. Louis, MO, USA). Image acquisition was performed on a Leica DMRA2 fluorescence microscope (Leica, Wetzlar, Germany) equipped with Leica filters specific for DAPI, FITC, Cy3, and DEAC. Images were acquired using a charge-coupled device (CCD) camera (Leica) with a magnification factor of 100×. Image analysis was performed using the Leica CW4000-FISH software (version Y1.3.1). In the initial step of sSMC characterization, the most proximal available core probe(s) for the involved chromosome arm(s) was used to discriminate between euchromatic and heterochromatic sSMCs. Next, fine breakpoint mapping was performed using clones within and/or distal to the core panels, depending on sSMC size. A single-color, dual-color, or three-color hybridization approach was chosen depending on the available amount of sSMC sample and the time available to complete the analysis. In case of non-mosaic sSMCs, at least 16 metaphases were analyzed, whereas in cases of mosaic sSMCs, the number of analyzed metaphases decreased proportionally with the level of mosaicism. The FISH protocols of Lichter et al.  and Lichter and Cremer  were followed, with minor modifications.
Array CGH analysis
Array CGH analysis was performed using the Human Genome CGH Microarray Kit 4 × 44K (Agilent Technologies, Palo Alto, CA), which consists of 42,494 60-mer oligonucleotide probes covering the entire genome with an average spatial resolution of ~43 kb. From both test and sex-matched reference (Promega, Southampton, UK) samples, 3 μg of genomic DNA, previously extracted from probands’ whole blood using the GenEluteTM Blood Genomic DNA kit (Sigma-Aldrich), was processed according to the manufacturer’s protocol. Images were obtained using the Agilent Feature Extraction software (version 9.1), and chromosomal profiles were obtained using the ADM-2 algorithm provided by DNA Analytics software (v4.0) (Agilent Technologies).
Written informed consent to the research investigation, which was approved by the Ethical Clinical Research Committee of Istituto Auxologico Italiano, was obtained from either the adult patients or one of the parents in case of child patients.
CC: biologist, specialist in Medical Genetics, PhD degree in Experimental Pathology and Neuropathology, contract researcher at the Medical Cytogenetics and Molecular Genetics Lab, Istituto Auxologico Italiano, Milano, Italy;
VE: biologist, specialist in Medical Genetics, currently fixed-term contract at the Cytogenetics Lab, Ospedale Niguarda Ca’ Granda, Milano, Italy;
CM: biotechnologist, student of the School of Specialty in Medical Genetics, contract researcher at the Medical Cytogenetics and Molecular Genetics Lab, Istituto Auxologico Italiano, Milano, Italy;
TS: biologist, specialist in Medical Genetics, permanent position at the Cytogenetics Lab, Istituti Ospitalieri, Cremona, Italy;
RL: biologist, specialist in Medical Genetics, manager at the Pre-and Post-Natal Diagnostic Unit of the Cytogenetics laboratory, Niguarda Ca’ Granda Hospital, Milano, Italy;
AMC: biologist, specialist in Medical Genetics, permanent position at the Cytogenetics Lab, S. Giovanni Battista Hospital, Torino, Italy;
GS: biologist, specialist in Medical Genetics, head of the Cytogenetics Lab, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy;
RD: biotechnologist, specialist in Medical Genetics, currently post-doc fellowship at the Medical Genetics lab, Department of Health Sciences, University of Milan;
BL: biologist, specialist in Medical Genetics, permanent position at the Medical Cytogenetics and Molecular Genetics Lab of Istituto Auxologico Italiano, Milano, Italy;
MD: medical doctor, specialist in Medical Genetics, permanent position at the Paediatric Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy;
GE: medical doctor, specialist in Medical Genetics, permanent position at the Division of Medical Genetics, S. Giovanni Battista Hospital, Torino, Italy;
CP: medical doctor, specialist in Medical Genetics, permanent position at the Division of Medical Genetics, Istituti Ospitalieri, Cremona, Italy;
GD: biologist, specialist in Medical Genetics, head of the Cytogenetics Diagnostic Unit, Medical Cytogenetics and Molecular Genetics Lab, Istituto Auxologico Italiano, Milano, Italy;
BMT: medical doctor, specialist in Medical Genetics, permanent position at the Division of Medical Genetics, San Luca Hospital, Istituto Auxologico Italiano, Milano, Italy;
LL: medical doctor, specialist in Medical Genetics, professor of Medical Genetics, Department of Health Sciences, University of Milano; research director of the Medical Cytogenetics and Molecular Genetics Lab, Istituto Auxologico Italiano, Milano, Italy;
FP: biologist, specialist in Medical Genetics, PhD degree in Genetics and Molecular Evolution, associate professor of Medical Genetics, Department of Medical Biotechnology and Translational Medicine, University of Milano; head of the Research Unit, Medical Cytogenetics and Molecular Genetics Lab, Istituto Auxologico Italiano, Milano, Italy.
- Array CGH:
Array comparative genomic hybridization
Fluorescence in situ hybridization
Small supernumerary marker chromosomes
The authors wish to thank Professor Mariano Rocchi and his team, supported by the Telethon Foundation, for having generously provided most of the clones used in this study. We also thank the patients and their families for their cooperation. The study was supported by a Ministry of Health grant to Istituto Auxologico Italiano IRCCS (Grant number: 08C506).
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