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www.jped.com.br

ORIGINAL

ARTICLE

Chromosomal

microarrays

testing

in

children

with

developmental

disabilities

and

congenital

anomalies

Guillermo

Lay-Son

a,b,∗

,

Karena

Espinoza

a

,

Cecilia

Vial

a

,

Juan

C.

Rivera

a

,

María

L.

Guzmán

a,b

,

Gabriela

M.

Repetto

a,b

aCenterforHumanGenetics,FacultaddeMedicina,ClínicaAlemanaUniversidaddelDesarrollo,Santiago,Chile

bHospitalPadreHurtado,Santiago,Chile

Received20March2014;accepted9July2014 Availableonline30October2014

KEYWORDS

Microarrays; Congenital anomalies; Developmental disabilities; Copynumber variants; Diagnosis

Abstract

Objectives: Clinicaluseofmicroarray-basedtechniquesfortheanalysisofmany developmen-tal disorders hasemergedduring thelastdecade.Thus, chromosomal microarrayhas been positionedasafirst-tiertest.ThisstudyreportsthefirstexperienceinaChileancohort. Methods: Chileanpatientswithdevelopmentaldisabilitiesandcongenitalanomalieswere stud-iedwithahigh-densitymicroarray(CytoScanTM HDArray, Affymetrix,Inc., SantaClara, CA,

USA).Patientshadpreviouscytogeneticstudieswitheitheranormalresultorapoorly charac-terizedanomaly.

Results: Thisstudytested40patientsselectedbytwoormorecriteria,including:major con-genitalanomalies,facialdysmorphism,developmentaldelay,andintellectualdisability.Copy numbervariants(CNVs)werefoundin72.5%ofpatients,whileapathogenicCNVwasfoundin 25%ofpatientsandaCNVofuncertainclinicalsignificancewasfoundin2.5%ofpatients. Conclusion: Chromosomalmicroarrayanalysis isa useful andpowerfultool for diagnosis of developmental diseases, by allowing accurate diagnosis, improving the diagnosis rate, and discoveringnewetiologies.Thehighercostisalimitationforwidespreaduseinthissetting. ©2014SociedadeBrasileiradePediatria.PublishedbyElsevierEditoraLtda.Allrightsreserved.

Pleasecitethisarticleas:Lay-SonG,EspinozaK,VialC,RiveraJC,GuzmánML,RepettoGM.Chromosomalmicroarraystestinginchildren withdevelopmentaldisabilitiesandcongenitalanomalies.JPediatr(RioJ).2015;91:189---95.

Correspondingauthor.

E-mail:[email protected](G.Lay-Son).

http://dx.doi.org/10.1016/j.jped.2014.07.003

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PALAVRAS-CHAVE

Microarrays; Anomalias congênitas; Atrasode desenvolvimento; Variantedonúmero decópia;

Diagnóstico

Análisecromossômicapormicroarrayemcrianc¸ascomdeficiênciasde desenvolvimentoeanomaliascongênitas

Resumo

Objetivo: Ousoclínicodetécnicasbaseadasemmicroarraysparaaanálisedetranstornosde desenvolvimentotemsurgidoduranteaúltimadécada.Assim,omicroarraycromossômicotem sidoposicionadocomoumtestedeprimeironívelclínico.Relatamosaprimeiraexperiênciaem umacoortechilena.

Métodos: Pacientes chilenos com atraso de desenvolvimentoe anomalias congênitasforam estudadoscomummicroarraydealtadensidade(CytoScanTMHDArray,Affymetrix,Inc.,Santa

Clara,CA,EUA).Pacientestiveramestudoscitogenéticosanteriores,ouumresultadonormal oudeumaanomalianãobemcaracterizada.

Resultados: Foramanalisados40pacientesselecionadospordoisoumaiscritérios,incluindo: anomaliascongênitasmaiores,dismorfismofacial,atrasodedesenvolvimentoedeficiência int-electual. Uma variantedo número decópia (CNV) foi encontrada em 72,5% dos pacientes, enquantoqueumaCNVpatogênicafoiencontradaem25%dospacienteseumaCNVde signifi-cadoclínicoincertofoiencontradaem2,5%dospacientes.

Conclusões: A análise cromossômica microarray é uma ferramenta útil e poderosa em transtornos de desenvolvimento,permitindoum diagnóstico preciso, melhorando a taxade diagnóstico,edescobrindonovasetiologias.Ocustomaiselevadoéumalimitac¸ãoparaumuso difundidoemnossarealidade.

©2014SociedadeBrasileiradePediatria.PublicadoporElsevierEditoraLtda.Todososdireitos reservados.

Introduction

Majorcongenitalanomaliesaffecttwotothreeofevery100 livenewborns, andarealeadingcauseofinfantmortality anddisability.1,2Althoughmostareisolatedand

multifacto-rialinorigin,patients withmultiple abnormalitiesrequire

anassessmenttoidentifyanunderlyinggeneticcause.

In recent years, the etiological study of

developmen-tal disorders has been enriched with the clinical use

of microarray-based techniques. In developed countries,

molecular karyotyping or chromosomal microarray (CMA)

is considered the first-line technique for the analysis of

patientswithmultiplecongenitalanomalies,nonsyndromic

developmental delay/intellectual disability, and autism

spectrumdisorders.3---7

In contrast, in developing nations such asLatin

Amer-ican countries, detection of chromosomal anomalies is

still performed mainly by conventional cytogenetic

tech-niques. GTG (G-bands by trypsin using Giemsa) banding

karyotypinginlymphocytes hasbeen mainlyusedto

iden-tify chromosomal abnormalities with a resolution equal

or greater than 5-10 megabases (5-10 Mb).8---11

Fluores-centin situ hybridization(FISH) is available for a limited

number of diseases caused by chromosomal

microdele-tions/microduplications and has a resolution of 2-5 Mb

in metaphase and between 50-150 Kb in interphase

nuclei.8,9,11---13Othermoleculartechniqueshavebeen

devel-oped to look for small microdeletions/microduplications,

such as multiplex ligation-dependent probe amplification

(MLPA).14Incontrasttotheseconventionaltechniques,CMA

hasahigherresolution, whichreaches upto50Kb, aten

timeshigherresolutionthanconventionalkaryotyping.13,15

Itseeksgeneticimbalances(gainsorlossesofchromosomal

segments)acrossthegenomeandhasallowedthe

identifi-cation ofnewsyndromesthat arenot readilydetected by

themethodsdescribedabove.16---18 Thediscoveryofnormal

variationascopynumbervariations(CNVs)posesachallenge

fortheclinicalinterpretation.15

Whilstdiagnosticstudiesfor individualswithcongenital

anomalies or intellectual disability basedon conventional

cytogeneticshaveadiagnosticyieldcloseto3%,CMAhasa

yieldofaround15%to20%,overfivetimesgreaterthan

G-bandedkaryotype,6justifyingitsuseasafirstlinediagnostic

test for patients withan unknown clinical diagnosis. It is

estimatedthatCMAaloneiscapableofdetectingover99%

ofallkaryotypeabnormalities.5

Thisreportpresentstheauthors’pioneeringexperience

intheuseofCMAinacohortofChileanpatientswith

mul-tiplecongenitalanomalieswithoutetiologicaldiagnosis.

Methods

Patients

FortypatientswereselectedfromtheGeneticClinicsat Hos-pitalPadreHurtado(Santiago,Chile),betweenMayof2012 andNovemberof2012.

This study included patients who had at least two of thefollowingclinicalfeatures:majorcongenitalanomalies (MCAs),facialdysmorphism(FD),developmentaldelay(DD), orintellectualdisability(ID).Allpatientslackedadefinite causeforthedisorder.

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inheritedRobertsonian translocation,andone patienthad monosomyX,butwithunusualadditionalfeatures.

Thelocalethicscommitteeapprovedthisstudy,and writ-teninformedconsentwasobtainedfromallpatientsand/or parents/guardians.

SampleProcessing

Genomic DNA was purified from peripheral blood mono-nuclearcellswithAxyPrepBloodGenomicDNAMiniprepKit (AxygenBiosciences,UnionCity,CA,USA)following manu-facturer’s instructions. Genomic DNAof each patientwas hybridizedwiththeCytoScanTMHDArray(Affymetrix,Inc.,

SantaClara,CA,USA)accordingtomanufacturer’s instruc-tions. This is a custom high-densitycomparative genomic hybridization array with almost 2.7 million of genetic markers,includes 700,000singlenucleotidepolymorphism (SNP)markersandover1.9oligonucleotidenon-polymorphic probesforCNVdetection.

DataAnalysis

Array data were analyzed using the Affymetrix®

Chromo-some Analysis Software Suite (ChAS) v.1.2.2 (Affymetrix, Inc.,SantaClara,CA,USA)basedonthereferencegenome sequence of the UCSC Genome Browser hg19, Feb. 2009 (GRCh37/hg19). The authors analyzed CNVs over 400 Kb as recommended.6 With this higher-resolution platform,

it was possible to evaluate smaller CNVs, but no patient

hadclinicallyrelevant abnormalitiesbetween100and400

Kb, so this limit was kept for purposes of this report.

CNVs over 400 Kb were categorized by clinical

signifi-canceasCNVofclearclinicalrelevance(group1),CNVof

unclear relevance or uncertain significance (group 2), or

benign or polymorphic CNV (group 3), using the publicly

available databases ISCA (International Standard

Cytoge-nomic Array),19 DGV (Database of Genomic Variants),20,21

OMIM (Online Mendelian Inheritance in Man),22

DECI-PHER(DatabaseofChromosomalImbalanceandPhenotypein

HumansUsingEnsemblResources)23,24 andECARUCA

(Euro-pean Cytogeneticists Association Register of Unbalanced

ChromosomeAberrations).25

Results

Of the 40 patients analyzed, 16 (41%) were female.Ages ranged from 1 month to 25 years, with a median age of 4.2 years. As selected, the vast majority of the patients havemultipleanomalies,includingstructuralandfunctional developmentaldisorders.Clinicaldetailsaresummarizedin

Table1.

CNVcharacterization(Fig.1)

Fifty-five CNVs over 400 Kb were observed in 29 of 40 patients(72.5%),rangingbetween0and4CNVsperpatient. Ofthetotal,11werelossesand44weregains(Fig.1A).The

size of chromosomalimbalances ranged from420.9 Kb to

25.2 Mb. The latter corresponded toone patient withan

sSMCdetectedbykaryotype.

These55CNVswereclassifiedintothreegroupsbasedon

theirclinicalinterpretation.

Accordingtotheclassificationadopted (Fig.1B), 21.8%

belongedtogroup1(clearclinicalrelevancerelatedtothe

phenotype),1.8%togroup2(unclearrelevance),and76.4%

togroup3 (benign or polymorphic).Losses were

predom-inant in group 1, while gains were predominant in group

3.

Diagnosticyield

In Group 1, two patients had two terminal chromosome imbalances,eachprobablyderivedfromunbalancedcryptic translocations.Sevenpatientshadamicrodeletionandone patienthadamosaicpartialtrisomy20(oneofthepatients hadansSMC).MoredetailsaresummarizedinTable1.

InGroup2,onlyonepatienthadavariant ofuncertain

significance(VOUS).26 This patienthad a2 Mbtriplication

at 9p23 [arr 9p23(9,323,653-11,359,708)x3], but withthe

informationavailable in the databases and in biomedical

literature,adefinitivepathogeniceffectcouldnotberuled

outorassigned.

The authors failed to find true genetic imbalances in

the second patient with an sSMC and the patient with a

derivativechromosome16.Inthepatientwiththe

Robert-soniantranslocation,nogenomicimbalancethatexplained

thephenotypewasfound.Finally,inthepatientwith

mono-somyX,thedeletionofoneXwasconfirmed,butadditional

genomicimbalanceswerenotfound(Table1).

Clinicalinterpretation

ThisstudyfoundapathogenicCNVthatwasnotpreviously observedby(n=9)ornotwellcharacterized(n=1)by con-ventionalkaryotypeintenof40patientsofgroup1(25.0%). Inaddition,aknowncytogeneticanomalyinonepatientwas corroborated(monosomyX).

Ifonlythepatientswithnormalkaryotypeareconsidered (35patients),thediagnosisrateincreasedto28.5%.

Additionally,thisstudyfoundaCNVofuncertainclinical significanceorVOUS(group2)inoneadditionalpatient.This patientis waiting for additional testing and follow up to definetheclinicalrelevanceofthisfinding.Itisplannedto studybothparentswithFISHand/orMLPA.

Discussion

This is the first report of the CMAtesting in a cohort of Chilean patients with developmental disabilities, consid-ering that there are few studies of the clinical use of chromosomalmicroarraysinLatinAmerica,asexperiences of individual cases are the norm. Within South Amer-ica, a similar experience was reported with a group of patients from Brazil.27,28 Those authors analyzed 95

syn-dromic patients with normal karyotypes and reported a

diagnosticyieldof17%.28

The presentstudy detected over25% pathogenic

alter-ations in this cohort, which is in the upper range that

hasbeen reported in theliterature. In patients with

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Table1 Summaryofclinicalfeaturesandgeneticimbalancesfoundinthiscohort.

Patient ID Developmental Delay Intellectual Disability Generalized hypotonia Seizures Central nervous system malformation Microcephaly Facial dysmorphism Congenital eye anomaly Visual anomaly External ear anomaly Hearing defect Cleft lip +/-palate Cleft palate/Robin sequence Congenital heart disease Hemivertebrae/Scoliosis Gastrointestinal malformation Abdominal hernia Kidney malformation Genital/Urinary tract defect Limb anomaly Generalized ligamentous hyperlaxity Skeletal anomaly Short stature Failure to thrive Obesity Congenital Skin Defect Cytogenetic studies CMA results Clinical interpretation

1 N/A 46,XX arr(1-22,X)x2

2 N/A 46,XX arr(1-22,X)x2

3 N/A 46,XX arr(1-22,X)x2

4 N/A 46,XY arr(1-22)x2,(XY)x1

5 46,XY arr(1-22)x2,(XY)x1

6 N/A 46,XY arr 9p23(9,323,653

-11,359,708)x3

Variant of unknown significance (VUOS)

7 N/A 46,XY arr(1-22)x2,(XY)x1 No genomic imbalances

8 46,XX; FISH22q(-) arr 6p25.1-p23(6,389,847

-15,124,349)x1 6p25.1p23 deletion

9 N/A 46,XX arr(1-22,X)x2

10 46,XY,der(16) arr(1-22)x2,(XY)x1 Pericentric inversion 16

11 N/A 46,XY arr(1-22)x2,(XY)x1

12 N/A 46,XY arr(1-22)x2,(XY)x1

13 46,XX; FISH22q(-) arr(1-22,X)x2

14 46,XX arr(1-22,X)x2

15 46,XY; FISH22q(-) arr(1-22)x2,(XY)x1

16 N/A 46,XY arr(1-22)x2,(XY)x1

17 46,XY arr(1-22)x2,(XY)x1

18 46,XX arr(1-22,X)x2

19 47,XX,+mar/46,XX

arr

20p12.3q11.22(7,180,552-32,402,789)x2~3

Partial trisomy 20 mosaicism

20 N/A 46,XY arr

2q23.2q24.2(150,216,033- 2q23.2q24.3 deletion 161,228,203)x1

21 46,XY;FISH 22q(-) arr(1-22)x2,(XY)x1 No genomic imbalances

22 46,XY;FISH22q(-) arr 15q25.2(83,08

3,418-84,834,123)x1 15q25.2 deletion

23 46,XY;FISH22q(-) arr(1-22)x2,(XY)x1 No genomic imbalances

No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances No genomic imbalances

24 N/A 46,XY arr(1-22)x2,(XY)x1 No genomic imbalances

25 46,XX; FISH 17p(-) arr(1-22,X)x2 No genomic imbalances

26 46,XX arr(1-22,X)x2 No genomic imbalances

27 N/A 46,XY arr(1-22)x2,(XY)x1 No genomic imbalances

28 N/A

46,XY;FISH22q(-); Chromosome breakageanalysis(-)

arr(1-22)x2,(XY)x1 No genomic imbalances

29 46,XX arr(1-22,X)x2 No genomic imbalances

30 45,XY,der

(14;15)(q10;q10) arr(1-22)x2,(XY)x1

Robertsonian translocation, no genomic imbalances

31 46,XX

arr

22q12 .1q12.3(28,966,333-34,541,402)x1

22q12.1q12.3 deletion

32 N/A 47,XX,+mar(mat);

FISH 15q(-) arr(1-22,X)x2

SMC bisatellited (NOR staining), heterochromatin maternally derived (healthy mother)

33 N/A 46,XX; FISH 22q(-) arr(1-22,X)x2 No genomic imbalances

34

46,XY;FISH7q(-), 22q(-)subtelomeres (-)

arr 6p25.3-p25.2(156

,974-2,400,023)x1 6p25.3p25.2 deletion

35 N/A 46,XY

arr6p25.3p25.2(294 ,910-3,403,875)x3,12p13.33(173, 786-3,283,049)x1

12p13.33 deletion; 6p25.3p25.2 triplication

36 46,XY

arr

14q32.12q32.33(94,17 4,317-107,285,437)x3,22q13.31q13 .33(47,852,611-51,197,838)x1

22q13 deletion; 14q32.12q32.33 triplication

37 N/A 46,XX; FISH 22q(-)

arr4q34 .1-q35.2(174,40 9,811-190,957,473)x1

4q34.1q35.2 deletion

38 N/A 45,X arr Xp22.33q28(16

8,546-155,233,731)x1

Monosomy X, without other imbalances 39 46,XY arr(1-22)x2,(XY)x1 No genomic imbalances

40 46,XY arr 19p13.3(3,78

8,725-5,346,511)x1 19p13.3 deletion

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Group 1 Group 2 Group 3 29 patients

40 patients

12 CNVs 9L/3G

1 CNVs 0L/1G

42 CNVs 2L/40G 55 CNVs

11L/44G

0 CNVs

A

B

10 patients 1 patient

11 patients

25 patients

Figure 1 Characterization of CNVs larger than 400 Kb in Chileancohort.

A,among40patients,CNVswerenotfoundin11individuals.In theremaining29patients,55CNVswerefound(11lossesand44 gains).B,eachpatientmayhaveCNVofmorethanonegroupat atime.CNVswerecategorizedbyclinicalsignificanceasCNVof clearclinicalrelevance(group1),CNVofuncertainsignificance (group2),orbenignorpolymorphicCNV(group3).

CNVs,copynumbervariants;G,gains;L,losses.

disabilitywithnormalkaryotype/FISH,meta-analysisshows adiagnosticyieldof7.8%-13.8%,rangingfrom5%to50%.5,29

This is largely explained by heterogeneity in the design

ofstudies,especiallyinpatientselection,previoustesting

realized,andarrayplatformsused.Inthepresentcase,the

highrateofdiagnosiscanbeexplainedbythefactthatthe

studied cohort wasrelatively small,had the bias of very

selected patients,many of whom have remainedfor long

timewithoutdiagnosis,andfinally,usedahigh-density

plat-form.

Over time, different onlinepublic databases have

col-lected phenotypic and genomic information of thousands

of anonymous patients, which allow elucidating the vast

majorityofCNVsasbenignorpolymorphic,withoutfurther

analysis.Infact,themajorityofthisstudy’sfindingswere

polymorphic CNVs (copy number polymorphisms, [CNPs]),

corroboratedinthosecytogenomicdatabasesandfromthe

authors’owncohortdata.RecurrentCNVsover400Kbwere

observed in half of these patients, mainly involving the

followingchromosomalloci:10q11.22,14q32.22,16p11.2,

17q21.31,Yq11.223,and Yq11.23.Only onecase that had

a VOUS required further analysis to determine possible

pathogenicity. This patient was one year and 11 months,

with DD, language delay, hearing deficit, inguinal hernia,

andshortstature.Hehada46,XYkaryotypeandthearray

showed a 2 Mb gain in chromosome 9p23, including

par-tial triplication of onegene: PTPRD. The protein Ptprdis

areceptor-typeprotein-tyrosinephosphatase,isexpressed

incertainregionsofthebrain,suchasthehippocampus,and

couldhavearoleinlearningandmemory30andthesynaptic

organization.31Nophenotypehasbeenassignedtothefull

triplicationofthisgene.

Although CMA is a very robust and reliable technique,

ithaslimitations: itisunabletodetectbalanced genomic

abnormalities such as inversions, reciprocal, and

Robert-sonian translocations. Depending on the platform used,

low-level mosaicism and some polyploidies cannot be

detected.When CMAtechnique isusedasthefirstline of

study,ithasbeendescribedthatthissituationcanoccurin

0.78%ofcases.5Finally,CMAdoes notgiveinformationon

positionoftherearrangement,FISHisoftenusedas

comple-mentarymethod toidentifypossible rearrangements with

implicationsforgeneticcounseling.7,32

Inthepresent cohort,it wasfound thatthreepatients

withpreviously known cytogenetic abnormalities resulted

inanormalmolecularkaryotype.Asexpected,thepatient

whoiscarrierfor a Robertsoniantranslocation hada

nor-mal/balancedaCGHresult. Inthe case of oneof the two

patientswithsSMC,thecoverageofthearray,thegenomic

sequences involved, and the size sSMC may explain why

that geneticmaterial were undetected by this method.19

Thus,thissmallbisatellitedchromosomelikelycorresponds

tohighlyrepetitivesequencestypicalofacrocentric

chro-mosomesnotincludedinthearraythatwasdemonstrated

bynucleolusorganizerregion(NOR)banding.Inthepatient

withaderivativechromosome16,withan abnormal

band-ingpatternandmorphology(moremetacentricthanusual),

apericentricinversionisthemostplausibleexplanation.

Thus, karyotype remains more suitable to evaluate

potentialcarriersofchromosomalrearrangements,couples

withrecurrent miscarriage, or patients with a distinctive

aneuploidyphenotype.However,FISHismoresuitableifa

specificmicrodeletionsyndromeishighlysuspected.7

Chromosomemicroarraysareahighlyaccurate,robust,

andhigh-throughput method.This study useda combined

oligonucleotide-basedarrayplusSNParray,whichhasmany

advantages, where the SNP array significantly improves

the accuracy and sensitivity of the CNV detection and

mosaicism, also allowing the detection of copy-neutral

variants.33 In the case of the chip used in this report

(Cytoscan HD, Affymetrix), the platform chemistry and

itsalgorithms analyzethe oligonucleotideandSNPprobes

independently, and thus each CNV can be detected and

confirmedat thesametime,without requiringanyfurther

confirmation.32,33Inthiscase,insteadofaconfirmationof

thearrayfinding,FISHanalysisallowsfordeterminationof

thetypeofrearrangement.32

Alimitationforwidespreaduseofmolecularkaryotype

isthehighcostofthetest.InChile, CMAisapproximately

fourtoseventimesmoreexpensivethanakaryotypeand/or

FISH,andiscurrentlynotcoveredbyhealthinsurance.

How-ever,toreachanearlydiagnosis inselectedpatients with

multiple congenitalanomalies and/or global

developmen-taldelay,itcanavoidunnecessarytesting(the‘‘diagnostic

odyssey’’)andallowfocusingonspecificissues,whichinthe

longtermcanbecost-effective.34---38Itmaybeexpectedthat

costswilldecreaseovertime,enablingitsmorewidespread

use. Finally, it should bementioned that thereare other

platforms that have lower resolution but at a relatively

reducedcost.

Recognizingitslimitations,thereisgrowingevidenceof

the clinical impact of this technology. In many patients,

a definitivediagnosis can impactnot only on information

(6)

onactivesurveillance insearchof possiblecomplications,

amongothertypesofmedicalinterventions.37,38Thepresent

datashowtheusefulnessofCMA, allowingimproved

diag-nosticcapabilitywithremarkableprecisionandoptimization

ofthemanagementandsupervisionofhealthinthisgroup

ofpatientswithspecialneeds.

Funding

GrantsupportfromChildHealthFoundationinBirmingham, Alabama.

Conflicts

of

interest

Theauthorsdeclaretohavenoconflictsofinterest.

Acknowledgments

TheauthorsaregratefultotheChildHealthFoundationin Birmingham,Alabamafortheirgrantsupportforthiswork, totheparticipatingpatientsandfamilies,andtoDr.Silvia CastilloandcytogeneticistAnaMaríaFuentesforreviewof theconventionalkaryotyperesults.

References

1.Christianson A, HowsonM,Modell B.March ofDimes: global reportonbirthdefects.Thehiddentollofdyinganddisabled children.WhitePlains,NY:MarchofDimesBirthDefects Foun-dation;2006.

2.KumarP,BurtonBK.Dysmorphology. In:KumarP,BurtonBK, editors.Congenitalmalformations:evidence-basedevaluation andmanagement.NewYork:McGraw-HillProfMed/Tech;2007. p.3---11.

3.RauchA,HoyerJ,GuthS,ZweierC,KrausC,BeckerC,etal. Diagnosticyieldofvariousgeneticapproachesinpatientswith unexplaineddevelopmentaldelayormentalretardation.AmJ MedGenetA.2006;140:2063---74.

4.VermeeschJR,FieglerH,deLeeuwN,SzuhaiK,SchoumansJ, CicconeR,etal.Guidelinesformolecularkaryotypingin consti-tutionalgeneticdiagnosis.EurJHumGenet.2007;15:1105---14. 5.Hochstenbach R, van Binsbergen E, Engelen J, Nieuwint A, Polstra A, Poddighe P, et al. Array analysis and karyotyp-ing: workflow consequences based on a retrospective study of36,325patientswithidiopathicdevelopmentaldelayinthe Netherlands.EurJMedGenet.2009;52:161---9.

6.Miller DT,AdamMP, Aradhya S, BieseckerLG,Brothman AR, CarterNP,etal.Consensusstatement:chromosomalmicroarray isafirst-tierclinicaldiagnostictestforindividualswith devel-opmentaldisabilitiesorcongenitalanomalies.AmJHumGenet. 2010;86:749---64.

7.Manning M, Hudgins L. Professional Practice and Guidelines Committee.Array-basedtechnologyandrecommendationsfor utilizationinmedicalgeneticspracticefordetectionof chro-mosomalabnormalities.GenetMed.2010;12:742---5.

8.ShafferLG,LedbetterDH,LupskiJR. Molecularcytogenetics ofcontiguousgenesyndromes:mechanismsandconsequences ofgenedosageimbalance.In:ScriverCR,BeaudetAL,SlyWS, ValleD,ChildsB,KinzlerKW,etal.,editors.Themetabolicand molecularbasisofinheriteddisease.NewYork:McGraw Hill; 2001.p.1291---324.

9.TraskBJ.Humancytogenetics:46chromosomes,46yearsand counting.NatRevGenet.2002;3:769---78.

10.Salman M,Jhanwar SC,Ostrer H.Will the newcytogenetics replacetheoldcytogenetics?ClinGenet.2004;66:265---75. 11.SmeetsDF.Historicalprospectiveofhumancytogenetics:from

microscopetomicroarray.ClinBiochem.2004;37:439---46. 12.TurleauC,VekemansM.Newdevelopmentsincytogenetics.Med

Sci(Paris).2005;21:940---6.

13.EdelmannL,HirschhornK.ClinicalutilityofarrayCGHforthe detectionofchromosomalimbalancesassociatedwithmental retardationandmultiplecongenitalanomalies.AnnNYAcad Sci.2009;1151:157---66.

14.Jehee FS, Takamori JT, Medeiros PF, Pordeus AC, Latini FR, BertolaDR,etal.UsingacombinationofMLPAkitstodetect chromosomalimbalancesinpatientswithmultiplecongenital anomaliesandmentalretardationisavaluablechoicefor devel-opingcountries.EurJMedGenet.2011;54:e425---32.

15.LeeC,IafrateAJ,BrothmanAR.Copynumbervariationsand clinicalcytogeneticdiagnosis ofconstitutionaldisorders.Nat Genet.2007;39:S48---54.

16.ShafferLG,BejjaniBA,TorchiaB,KirkpatrickS,CoppingerJ, BallifBC. Theidentification of microdeletionsyndromesand otherchromosomeabnormalities:cytogeneticmethodsofthe past,newtechnologiesforthefuture.AmJMedGenetCSemin MedGenet.2007;145C:335---45.

17.Schluth-BolardC,TillM,EderyP,SanlavilleD.Newchromosomal syndromes.PatholBiol(Paris).2008;56:380---7.

18.Slavotinek AM. Novel microdeletion syndromes detected by chromosomemicroarrays.HumGenet.2008;124:1---17. 19.International Collaboration for Clinical Genomics (ICCG).

International Standard Cytogenomic Array(ISCA) Consortium Database Search. [cited 4 March 2014]. Available from: http://www.iccg.org/

20.MacDonald JR, Ziman R, YuenRK, Feuk L, Scherer SW. The DatabaseofGenomicVariants:acurated collectionof struc-tural variation in the human genome. Nucleic Acids Res. 2014;42:D986---92.

21.Database of GenomicVariants (DGV). [cited 4 March 2014]. Availablefrom:http://dgv.tcag.ca/dgv/app/home

22.Online Mendelian Inheritance in Man, OMIM®. McKusick-NathansInstituteofGeneticMedicine,JohnsHopkinsUniversity (Baltimore, MD). [cited 10 March 2014]. Available from: http://omim.org/

23.FirthHV,RichardsSM,BevanAP,ClaytonS,CorpasM,RajanD, etal.DECIPHER:DatabaseofChromosomalImbalanceand Phe-notypeinHumansUsingEnsemblResources.AmJHumGenet. 2009;84:524---33.

24.DatabaseofChromosomalImbalanceandPhenotypeinHumans usingEnsembl Resources(DECIPHER). [cited10March2014]. Availablefrom:https://decipher.sanger.ac.uk/

25.EuropeanCytogeneticists Association Register ofUnbalanced ChromosomeAberrations (ECARUCA).[cited10March 2014]. Available from: http://umcecaruca01.extern.umcn.nl:8080/ ecaruca/ecaruca.jsp

26.deLeeuwN,DijkhuizenT,Hehir-KwaJY,CarterNP,FeukL,Firth HV,etal.Diagnosticinterpretationofarraydatausingpublic databasesandinternetsources.HumMutat.2012.

27.RosenbergC,Knijnenburg J, Bakker E,Vianna-Morgante AM, SloosW,OttoPA,etal.Array-CGHdetectionofmicro rearrange-mentsinmentallyretardedindividuals:clinicalsignificanceof imbalancespresentbothinaffectedchildrenandnormal par-ents.JMedGenet.2006;43:180---6.

28.Krepischi-SantosAC, Vianna-MorganteAM, Jehee FS, Passos-Bueno MR, Knijnenburg J, Szuhai K, et al. Whole-genome array-CGH screening in undiagnosed syndromic patients: old syndromesrevisitedand newalterations. Cytogenet Genome Res.2006;115:254---61.

(7)

StandardsSubcommitteeoftheAmericanAcademyof Neurol-ogyandthePracticeCommitteeoftheChildNeurologySociety. Neurology.2011;77:1629---35.

30.UetaniN, Kato K, Ogura H, MizunoK, Kawano K, Mikoshiba K, et al. Impaired learning with enhanced hippocampal long-term potentiation in PTPdelta-deficient mice. EMBO J. 2000;19:2775---85.

31.TakahashiH, Craig AM. Protein tyrosine phosphatases PTP␦,

PTP␴, and LAR: presynaptic hubs for synapse organization.

TrendsNeurosci.2013;36:522---34.

32.BuiTH,VetroA,ZuffardiO,ShafferLG.Currentcontroversiesin prenataldiagnosis3:isconventionalchromosomeanalysis nec-essaryinthepost-arrayCGHera?PrenatDiagn.2011;31:235---43. 33.Mason-SuaresH,KimW,GrimmettL,WilliamsES,HornerVL, KunigD,etal.Densitymatters:comparisonofarrayplatforms fordetectionofcopy-numbervariationandcopy-neutral abnor-malities.GenetMed.2013;15:706---12.

34.Wordsworth S, Buchanan J, Regan R, Davison V, Smith K, Dyer S, et al. Diagnosing idiopathic learning disability: a

cost-effectiveness analysis of microarray technology in the NationalHealthServiceoftheUnitedKingdom.GenomicMed. 2007;1:35---45.

35.NewmanWG,HamiltonS,AyresJ,SangheraN,SmithA,Gaunt L,etal.Arraycomparativegenomichybridizationfor diagno-sisofdevelopmentaldelay:anexploratorycost-consequences analysis.ClinGenet.2007;71:254---9.

36.TrakadisY,ShevellM.Microarrayasafirstgenetictestinglobal developmentaldelay: a cost-effectiveness analysis.DevMed ChildNeurol.2011;53:994---9.

37.CoulterME,Miller DT,HarrisDJ, HawleyP,PickerJ,Roberts AE,etal.Chromosomalmicroarraytestinginfluencesmedical management.GenetMed.2011;13:770---6.

38.Riggs E,WainK, RiethmaierD,Smith-Packard B,Faucett W, Hoppman N,et al. Chromosomal microarrayimpacts clinical management.ClinGenet.2013.

Imagem

Table 1 Summary of clinical features and genetic imbalances found in this cohort.
Figure 1 Characterization of CNVs larger than 400 Kb in Chilean cohort.

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