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Quantification of the methylation at the GNAS locus identifies subtypes of sporadic pseudohypoparathyroidism type Ib

Identifieur interne : 000078 ( Istex/Corpus ); précédent : 000077; suivant : 000079

Quantification of the methylation at the GNAS locus identifies subtypes of sporadic pseudohypoparathyroidism type Ib

Auteurs : Stéphanie Maupetit-Méhouas ; Virginie Mariot ; Christelle Reynès ; Guylène Bertrand ; Francois Feillet ; Jean-Claude Carel ; Dominique Simon ; Hélène Bihan ; Vincent Gajdos ; Eve Devouge ; Savitha Shenoy ; Placide Agbo-Kpati ; Anne Ronan ; Catherine Naud-Saudreau ; Anne Lienhardt ; Caroline Silve ; Agnès Linglart

Source :

RBID : ISTEX:04167EA3EC5F03CA000338C4FC82163CCE831147

English descriptors

Abstract

Background Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective To investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. Design and methods In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. Results A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Conclusion Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.

Url:
DOI: 10.1136/jmg.2010.081356

Links to Exploration step

ISTEX:04167EA3EC5F03CA000338C4FC82163CCE831147

Le document en format XML

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<name sortKey="Naud Saudreau, Catherine" sort="Naud Saudreau, Catherine" uniqKey="Naud Saudreau C" first="Catherine" last="Naud-Saudreau">Catherine Naud-Saudreau</name>
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<name sortKey="Naud Saudreau, Catherine" sort="Naud Saudreau, Catherine" uniqKey="Naud Saudreau C" first="Catherine" last="Naud-Saudreau">Catherine Naud-Saudreau</name>
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<mods:affiliation>INSERM, Université Paris Descartes, U986, Hôpital Saint Vincent de Paul, Paris, France</mods:affiliation>
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<affiliation>
<mods:affiliation>Assistance Publique-Hôpitaux de Paris, Université Paris 7, Hôpital Bichat Claude Bernard, Service de Biochimie hormonale et génétique, Paris, France</mods:affiliation>
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<mods:affiliation>Assistance Publique-Hôpitaux de Paris, Endocrinologie-diabétologie Pédiatrique et Centre de référence des maladies rares du métabolisme du calcium et du phosphore, Hôpital St-Vincent de Paul, Paris, France</mods:affiliation>
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<title level="j">Journal of Medical Genetics</title>
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<term>Body mass index</term>
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<term>Proc natl acad</term>
<term>Pseudohypoparathyroidism</term>
<term>Pseudohypoparathyroidism type</term>
<term>Quantitative method</term>
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<term>Deletion</term>
<term>Different patterns</term>
<term>Differentially</term>
<term>Differentially methylated regions</term>
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<term>Epigenetic defects</term>
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<term>Gnas locus</term>
<term>Gnas1</term>
<term>Gure</term>
<term>Hopital</term>
<term>Hormonal resistance</term>
<term>Imprinting</term>
<term>Juppner</term>
<term>Linglart</term>
<term>Locus</term>
<term>Metab</term>
<term>Methylated</term>
<term>Methylation</term>
<term>Methylation abnormalities</term>
<term>Methylation changes</term>
<term>Methylation defects</term>
<term>Methylation patterns</term>
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<term>Nesp dmrs</term>
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<term>Osteodystrophy</term>
<term>Parathyroid hormone</term>
<term>Parental imprinting</term>
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<term>Php4</term>
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<term>Proc natl acad</term>
<term>Pseudohypoparathyroidism</term>
<term>Pseudohypoparathyroidism type</term>
<term>Quantitative method</term>
<term>Restriction analysis</term>
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<div type="abstract">Background Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective To investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. Design and methods In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. Results A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Conclusion Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.</div>
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<abstract>Background Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective To investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. Design and methods In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. Results A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Conclusion Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.</abstract>
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<p>Background Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective To investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. Design and methods In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. Results A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Conclusion Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.</p>
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<article-title>Quantification of the methylation at the
<italic>GNAS</italic>
locus identifies subtypes of sporadic pseudohypoparathyroidism type Ib</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Maupetit-Méhouas</surname>
<given-names>Stéphanie</given-names>
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<contrib contrib-type="author">
<name>
<surname>Mariot</surname>
<given-names>Virginie</given-names>
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<contrib contrib-type="author">
<name>
<surname>Reynès</surname>
<given-names>Christelle</given-names>
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<contrib contrib-type="author">
<name>
<surname>Bertrand</surname>
<given-names>Guylène</given-names>
</name>
<xref ref-type="aff" rid="aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feillet</surname>
<given-names>Francois</given-names>
</name>
<xref ref-type="aff" rid="aff4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carel</surname>
<given-names>Jean-Claude</given-names>
</name>
<xref ref-type="aff" rid="aff5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Simon</surname>
<given-names>Dominique</given-names>
</name>
<xref ref-type="aff" rid="aff5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bihan</surname>
<given-names>Hélène</given-names>
</name>
<xref ref-type="aff" rid="aff6">6</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gajdos</surname>
<given-names>Vincent</given-names>
</name>
<xref ref-type="aff" rid="aff7">7</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Devouge</surname>
<given-names>Eve</given-names>
</name>
<xref ref-type="aff" rid="aff8">8</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shenoy</surname>
<given-names>Savitha</given-names>
</name>
<xref ref-type="aff" rid="aff9">9</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Agbo-Kpati</surname>
<given-names>Placide</given-names>
</name>
<xref ref-type="aff" rid="aff10">10</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ronan</surname>
<given-names>Anne</given-names>
</name>
<xref ref-type="aff" rid="aff11">11</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Naud-Saudreau</surname>
<given-names>Catherine</given-names>
</name>
<xref ref-type="aff" rid="aff12">12</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lienhardt</surname>
<given-names>Anne</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Silve</surname>
<given-names>Caroline</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<xref ref-type="aff" rid="aff3">3</xref>
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<name>
<surname>Linglart</surname>
<given-names>Agnès</given-names>
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<xref ref-type="aff" rid="aff14">14</xref>
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<aff id="aff1">
<label>1</label>
INSERM, Université Paris Descartes, U986, Hôpital Saint Vincent de Paul, Paris, France</aff>
<aff id="aff2">
<label>2</label>
MTi-Université Paris Diderot, INSERM U973, Rue Hélène Brion, Paris, France</aff>
<aff id="aff3">
<label>3</label>
Assistance Publique-Hôpitaux de Paris, Université Paris 7, Hôpital Bichat Claude Bernard, Service de Biochimie hormonale et génétique, Paris, France</aff>
<aff id="aff4">
<label>4</label>
Centre de référence des maladies héréditaires du métabolisme, INSERM U954, CHU Brabois Enfant, Vandoeuvre les Nancy, France</aff>
<aff id="aff5">
<label>5</label>
Assistance Publique-Hôpitaux de Paris, Université Paris 7, Department of pediatric endocrinology and diabetology, Robert Debré Hospital, Paris, France</aff>
<aff id="aff6">
<label>6</label>
Assistance Publique-Hôpitaux de Paris, Endocrinologie Diabétologie et maladies métaboliques, Hôpital Avicennes, Bobigny, France</aff>
<aff id="aff7">
<label>7</label>
Assistance Publique-Hôpitaux de Paris, Service de Pédiatrie, Hôpital Beclère, Clamart, France</aff>
<aff id="aff8">
<label>8</label>
Service de Pédiatrie, Hôpital d'Arras, France</aff>
<aff id="aff9">
<label>9</label>
Leicester Royal Infirmary, Leicester, UK</aff>
<aff id="aff10">
<label>10</label>
Service de Pédiatrie, Hôpital de Lagny, Lagny, France</aff>
<aff id="aff11">
<label>11</label>
Hunter Genetics Unit, Waratah, New South Wales, Australia</aff>
<aff id="aff12">
<label>12</label>
Service de Pédiatrie Bretagne sud, Lorient, France</aff>
<aff id="aff13">
<label>13</label>
Centre de référence des maladies rares du métabolisme du calcium et du phosphore, Service de Pédiatrie, Hôpital de la mère et de l'enfant, Limoges, France</aff>
<aff id="aff14">
<label>14</label>
Assistance Publique-Hôpitaux de Paris, Endocrinologie-diabétologie Pédiatrique et Centre de référence des maladies rares du métabolisme du calcium et du phosphore, Hôpital St-Vincent de Paul, Paris, France</aff>
<author-notes>
<corresp>
<label>Correspondence to</label>
Agnès Linglart, INSERM U986, Hôpital Saint Vincent de Paul, 82 avenue Denfert-Rochereau, 75014 Paris, France;
<email>agnes.linglart@inserm.fr</email>
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<abstract>
<sec>
<title>Background</title>
<p>Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted
<italic>GNAS</italic>
locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR.</p>
</sec>
<sec>
<title>Objective</title>
<p>To investigate if quantitative measurement of the methylation at the
<italic>GNAS</italic>
DMRs identifies subtypes of PHP-Ib.</p>
</sec>
<sec>
<title>Design and methods</title>
<p>In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four
<italic>GNAS</italic>
DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA.</p>
</sec>
<sec>
<title>Results</title>
<p>A principal component analysis using the per cent of methylation at seven cytosines of the
<italic>GNAS</italic>
locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad
<italic>GNAS</italic>
methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.</p>
</sec>
</abstract>
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<abstract>Background Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective To investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. Design and methods In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. Results A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Conclusion Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients.</abstract>
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