SNP Array Analysis in Constitutional and Cancer Genome Diagnostics – Copy Number Variants, Genotyping and Quality Control
Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first li...
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description | Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow. |
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Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow.</description><identifier>ISSN: 1424-8581</identifier><identifier>ISBN: 3805599390</identifier><identifier>ISBN: 9783805599399</identifier><identifier>EISSN: 1424-859X</identifier><identifier>EISBN: 9783805599405</identifier><identifier>EISBN: 3805599404</identifier><identifier>DOI: 10.1159/000331273</identifier><identifier>PMID: 21934286</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Comparative Genomic Hybridization - methods ; Comparative Genomic Hybridization - standards ; Congenital Abnormalities - diagnosis ; Congenital Abnormalities - genetics ; Data Interpretation, Statistical ; DNA Copy Number Variations ; Female ; Genotype ; Homozygote ; Humans ; Intellectual Disability - diagnosis ; Intellectual Disability - genetics ; Male ; Oligonucleotide Array Sequence Analysis - methods ; Oligonucleotide Array Sequence Analysis - standards ; Polymorphism, Single Nucleotide ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics ; Pregnancy ; Prenatal Diagnosis - methods ; Reference Values</subject><ispartof>Cytogenetic and genome research, 2011-12, Vol.135 (3-4), p.212-221</ispartof><rights>2011 S. Karger AG, Basel</rights><rights>Copyright © 2011 S. Karger AG, Basel.</rights><rights>Copyright (c) 2011 S. Karger AG, Basel</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-2d06a0c009909a2a4810f098acccd94b95a2537f339df9c02682c9d23144d37d3</citedby><cites>FETCH-LOGICAL-c364t-2d06a0c009909a2a4810f098acccd94b95a2537f339df9c02682c9d23144d37d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2429,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21934286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Leeuw, N.</creatorcontrib><creatorcontrib>Hehir-Kwa, J.Y.</creatorcontrib><creatorcontrib>Simons, A.</creatorcontrib><creatorcontrib>Geurts van Kessel, A.</creatorcontrib><creatorcontrib>Smeets, D.F.</creatorcontrib><creatorcontrib>Faas, B.H.W.</creatorcontrib><creatorcontrib>Pfundt, R.</creatorcontrib><title>SNP Array Analysis in Constitutional and Cancer Genome Diagnostics – Copy Number Variants, Genotyping and Quality Control</title><title>Cytogenetic and genome research</title><addtitle>Cytogenet Genome Res</addtitle><description>Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow.</description><subject>Comparative Genomic Hybridization - methods</subject><subject>Comparative Genomic Hybridization - standards</subject><subject>Congenital Abnormalities - diagnosis</subject><subject>Congenital Abnormalities - genetics</subject><subject>Data Interpretation, Statistical</subject><subject>DNA Copy Number Variations</subject><subject>Female</subject><subject>Genotype</subject><subject>Homozygote</subject><subject>Humans</subject><subject>Intellectual Disability - diagnosis</subject><subject>Intellectual Disability - genetics</subject><subject>Male</subject><subject>Oligonucleotide Array Sequence Analysis - methods</subject><subject>Oligonucleotide Array Sequence Analysis - standards</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><subject>Pregnancy</subject><subject>Prenatal Diagnosis - methods</subject><subject>Reference Values</subject><issn>1424-8581</issn><issn>1424-859X</issn><isbn>3805599390</isbn><isbn>9783805599399</isbn><isbn>9783805599405</isbn><isbn>3805599404</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqN0btuFDEUBmBzE0mWFPQostIgJBZ8nfEpV0sISFEAcRHdyOvxrBxm7MX2FCMa3oE35EnwZpctqKgs-XznL86P0GNKXlAq4SUhhHPKan4HnUKtuCJSAggi76JjKpiYKwlf76GT_YADuX8YKHqETlK6IYQqIauH6IhR4IKp6hj9-Hj9Hi9i1BNeeN1PySXsPF4Gn7LLY3ah_GLtW7zU3tiIL60Pg8WvnF77UIxJ-PfPX2VhM-HrcVgV8kVHp31Oz29xnjbOr28jPoy6d3napucY-kfoQaf7ZE_37wx9fn3xaflmfvXu8u1ycTU3vBJ5zlpSaWIIASCgmRaKko6A0saYFsQKpGaS1x3n0HZgCKsUM9AyToVoed3yGXq6y93E8H20KTeDS8b2vfY2jKkBKgXwctP_kBQYbGuYofN_5E0YY7lVQUzWFeecFfRsh0wMKUXbNZvoBh2nhpJmW2tzqLXYs33guBpse5B_qyrgyQ5803Ft4wHs9_8AdPygtA</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>de Leeuw, N.</creator><creator>Hehir-Kwa, J.Y.</creator><creator>Simons, A.</creator><creator>Geurts van Kessel, A.</creator><creator>Smeets, D.F.</creator><creator>Faas, B.H.W.</creator><creator>Pfundt, R.</creator><general>S. 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Academic</collection><jtitle>Cytogenetic and genome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Leeuw, N.</au><au>Hehir-Kwa, J.Y.</au><au>Simons, A.</au><au>Geurts van Kessel, A.</au><au>Smeets, D.F.</au><au>Faas, B.H.W.</au><au>Pfundt, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SNP Array Analysis in Constitutional and Cancer Genome Diagnostics – Copy Number Variants, Genotyping and Quality Control</atitle><jtitle>Cytogenetic and genome research</jtitle><addtitle>Cytogenet Genome Res</addtitle><date>2011-12</date><risdate>2011</risdate><volume>135</volume><issue>3-4</issue><spage>212</spage><epage>221</epage><pages>212-221</pages><issn>1424-8581</issn><eissn>1424-859X</eissn><isbn>3805599390</isbn><isbn>9783805599399</isbn><eisbn>9783805599405</eisbn><eisbn>3805599404</eisbn><abstract>Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>21934286</pmid><doi>10.1159/000331273</doi><tpages>10</tpages></addata></record> |
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subjects | Comparative Genomic Hybridization - methods Comparative Genomic Hybridization - standards Congenital Abnormalities - diagnosis Congenital Abnormalities - genetics Data Interpretation, Statistical DNA Copy Number Variations Female Genotype Homozygote Humans Intellectual Disability - diagnosis Intellectual Disability - genetics Male Oligonucleotide Array Sequence Analysis - methods Oligonucleotide Array Sequence Analysis - standards Polymorphism, Single Nucleotide Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics Pregnancy Prenatal Diagnosis - methods Reference Values |
title | SNP Array Analysis in Constitutional and Cancer Genome Diagnostics – Copy Number Variants, Genotyping and Quality Control |
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