Molecular genetic classification in Prader-Willi syndrome: a multisite cohort study

BackgroundPrader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects.MethodsHigh-resolution...

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Published inJournal of medical genetics Vol. 56; no. 3; pp. 149 - 153
Main Authors Butler, Merlin G, Hartin, Samantha N, Hossain, Waheeda A, Manzardo, Ann M, Kimonis, Virginia, Dykens, Elisabeth, Gold, June Anne, Kim, Soo-Jeong, Weisensel, Nicolette, Tamura, Roy, Miller, Jennifer L, Driscoll, Daniel J
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Published England BMJ Publishing Group LTD 01.03.2019
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Abstract BackgroundPrader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects.MethodsHigh-resolution microarrays, comprehensive chromosome 15 genotyping and methylation-specific multiplex ligation probe amplification were used to describe and further characterise molecular classes of maternal disomy 15 (UPD15) considering maternal age.ResultsWe summarised genetic data from 510 individuals with PWS and 303 (60%) had the 15q11-q13 deletion; 185 (36%) with UPD15 and 22 (4%) with imprinting defects. We further characterised UPD15 findings into subclasses based on the presence (size, location) or absence of loss of heterozygosity (LOH). Additionally, significantly older mothers (mean age=32.5 years vs 27.7 years) were found in the UPD15 group (n=145) compared with the deletion subtype (n=200).ConclusionsWe report on molecular classes in PWS using advanced genomic technology in the largest cohort to date. LOH patterns in UPD15 may impact the risk of having a second genetic condition if the mother carries a recessive mutant allele in the isodisomic region on chromosome 15. The risk of UPD15 may also increase with maternal age.
AbstractList BackgroundPrader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects.MethodsHigh-resolution microarrays, comprehensive chromosome 15 genotyping and methylation-specific multiplex ligation probe amplification were used to describe and further characterise molecular classes of maternal disomy 15 (UPD15) considering maternal age.ResultsWe summarised genetic data from 510 individuals with PWS and 303 (60%) had the 15q11-q13 deletion; 185 (36%) with UPD15 and 22 (4%) with imprinting defects. We further characterised UPD15 findings into subclasses based on the presence (size, location) or absence of loss of heterozygosity (LOH). Additionally, significantly older mothers (mean age=32.5 years vs 27.7 years) were found in the UPD15 group (n=145) compared with the deletion subtype (n=200).ConclusionsWe report on molecular classes in PWS using advanced genomic technology in the largest cohort to date. LOH patterns in UPD15 may impact the risk of having a second genetic condition if the mother carries a recessive mutant allele in the isodisomic region on chromosome 15. The risk of UPD15 may also increase with maternal age.
Background Prader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects. Methods High-resolution microarrays, comprehensive chromosome 15 genotyping and methylation-specific multiplex ligation probe amplification were used to describe and further characterise molecular classes of maternal disomy 15 (UPD15) considering maternal age. Results We summarised genetic data from 510 individuals with PWS and 303 (60%) had the 15q11-q13 deletion; 185 (36%) with UPD15 and 22 (4%) with imprinting defects. We further characterised UPD15 findings into subclasses based on the presence (size, location) or absence of loss of heterozygosity (LOH). Additionally, significantly older mothers (mean age=32.5 years vs 27.7 years) were found in the UPD15 group (n=145) compared with the deletion subtype (n=200). Conclusions We report on molecular classes in PWS using advanced genomic technology in the largest cohort to date. LOH patterns in UPD15 may impact the risk of having a second genetic condition if the mother carries a recessive mutant allele in the isodisomic region on chromosome 15. The risk of UPD15 may also increase with maternal age.
Prader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects. High-resolution microarrays, comprehensive chromosome 15 genotyping and methylation-specific multiplex ligation probe amplification were used to describe and further characterise molecular classes of maternal disomy 15 (UPD15) considering maternal age. We summarised genetic data from 510 individuals with PWS and 303 (60%) had the 15q11-q13 deletion; 185 (36%) with UPD15 and 22 (4%) with imprinting defects. We further characterised UPD15 findings into subclasses based on the presence (size, location) or absence of loss of heterozygosity (LOH). Additionally, significantly older mothers (mean age=32.5 years vs 27.7 years) were found in the UPD15 group (n=145) compared with the deletion subtype (n=200). We report on molecular classes in PWS using advanced genomic technology in the largest cohort to date. LOH patterns in UPD15 may impact the risk of having a second genetic condition if the mother carries a recessive mutant allele in the isodisomic region on chromosome 15. The risk of UPD15 may also increase with maternal age.
Author Dykens, Elisabeth
Driscoll, Daniel J
Manzardo, Ann M
Weisensel, Nicolette
Butler, Merlin G
Tamura, Roy
Hartin, Samantha N
Gold, June Anne
Kim, Soo-Jeong
Hossain, Waheeda A
Kimonis, Virginia
Miller, Jennifer L
AuthorAffiliation 4 Department of Pediatrics, Loma-Linda University, Loma-Linda, California, USA
1 Departments of Psychiatry, Behavior Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, USA
2 Department of Pediatrics, University of California-Irvine, Irvine, California, USA
5 Department of Psychiatry and Behavioral Science, University of Washington School of Medicine, Seattle, Washington, USA
6 College of Arts, Sciences and Letters, Marian University, Fond du Lac, Wisconsin, USA
8 Department of Pediatrics, University of Florida School of Medicine, Gainesville, Florida, USA
3 Vanderbilt Kennedy Center for Research on Human Development, Vanderbilt University, Nashville, Tennessee, USA
7 Health Informatics Institute, University of South Florida, Tampa, Florida, USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/29730598$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
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Issue 3
Keywords pws deletion subtypes
Prader-Willi syndrome
maternal age effects
PWS maternal disomy subclasses
molecular genetic classification
Language English
License Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
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Contributors
MGB planned the study design, recruited individuals, collected natural histories and biological samples and served as the primary author of the manuscript. SNH performed genetic analysis of individuals, compiled data from the different sites and contributed to the manuscript. WAH performed genetic analysis of individuals and compiled data from the different sites. AMM and RT performed statistical analyses and contributed to the manuscript. VK recruited individuals, collected natural histories and biological samples and served as an author of the manuscript. ED and DJD planned the study design, recruited individuals, collected natural histories and biological samples and served as an author of the manuscript. JAG and JLM compiled data and contributed to the manuscript. SJK performed genetic analysis of individuals and compiled data. NW recruited individuals, collected natural histories and biological samples and contributed to the manuscript.
ORCID 0000-0003-1567-4449
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Snippet BackgroundPrader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening...
Prader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This...
Background Prader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening...
BACKGROUNDPrader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening...
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bmj
SourceType Open Access Repository
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Publisher
StartPage 149
SubjectTerms Adolescent
Adult
Age
Autism
Behavior
Child
Child, Preschool
Chromosome 15
Chromosome Deletion
Chromosomes
Chromosomes, Human, Pair 15
Cohort analysis
Cohort Studies
Deoxyribonucleic acid
DNA
DNA Copy Number Variations
DNA methylation
Female
Genetic Association Studies - methods
Genetic Markers
Genetic Predisposition to Disease
Genetic Testing
Genomic imprinting
Genotyping
Heterozygosity
Humans
Infant
Loss of heterozygosity
Male
Middle Aged
Mutation
Obesity
Pediatrics
Polymorphism, Single Nucleotide
Prader-Willi syndrome
Prader-Willi Syndrome - diagnosis
Prader-Willi Syndrome - genetics
Young Adult
Title Molecular genetic classification in Prader-Willi syndrome: a multisite cohort study
URI http://dx.doi.org/10.1136/jmedgenet-2018-105301
https://www.ncbi.nlm.nih.gov/pubmed/29730598
https://www.proquest.com/docview/2184955423/abstract/
https://search.proquest.com/docview/2035706808
https://pubmed.ncbi.nlm.nih.gov/PMC7387113
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