Noonan syndrome in diverse populations
© 2017 Wiley Periodicals, Inc. Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, in...
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th-cmuir.6653943832-567222018-09-05T03:47:20Z Noonan syndrome in diverse populations Paul Kruszka Antonio R. Porras Yonit A. Addissie Angélica Moresco Sofia Medrano Gary T.K. Mok Gordon K.C. Leung Cedrik Tekendo-Ngongang Annette Uwineza Meow Keong Thong Premala Muthukumarasamy Engela Honey Ekanem N. Ekure Ogochukwu J. Sokunbi Nnenna Kalu Kelly L. Jones Julie D. Kaplan Omar A. Abdul-Rahman Lisa M. Vincent Amber Love Khadija Belhassan Karim Ouldim Ihssane El Bouchikhi Anju Shukla Katta M. Girisha Siddaramappa J. Patil Nirmala D. Sirisena Vajira H.W. Dissanayake C. Sampath Paththinige Rupesh Mishra Eva Klein-Zighelboim Bertha E. Gallardo Jugo Miguel Chávez Pastor Hugo H. Abarca-Barriga Steven A. Skinner Eloise J. Prijoles Eben Badoe Ashleigh D. Gill Vorasuk Shotelersuk Patroula Smpokou Monisha S. Kisling Carlos R. Ferreira Leon Mutesa Andre Megarbane Antonie D. Kline Amy Kimball Emmy Okello Peter Lwabi Twalib Aliku Emmanuel Tenywa Nonglak Boonchooduang Pranoot Tanpaiboon Antonio Richieri-Costa Ambroise Wonkam Brian H.Y. Chung Roger E. Stevenson Marshall Summar Kausik Mandal Shubha R. Phadke María G. Obregon Marius G. Linguraru Maximilian Muenke Biochemistry, Genetics and Molecular Biology Medicine © 2017 Wiley Periodicals, Inc. Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, individuals from diverse populations with NS were evaluated clinically and by facial analysis technology. Clinical data and images from 125 individuals with NS were obtained from 20 countries with an average age of 8 years and female composition of 46%. Individuals were grouped into categories of African descent (African), Asian, Latin American, and additional/other. Across these different population groups, NS was phenotypically similar with only 2 of 21 clinical elements showing a statistically significant difference. The most common clinical characteristics found in all population groups included widely spaced eyes and low-set ears in 80% or greater of participants, short stature in more than 70%, and pulmonary stenosis in roughly half of study individuals. Using facial analysis technology, we compared 161 Caucasian, African, Asian, and Latin American individuals with NS with 161 gender and age matched controls and found that sensitivity was equal to or greater than 94% for all groups, and specificity was equal to or greater than 90%. In summary, we present consistent clinical findings from global populations with NS and additionally demonstrate how facial analysis technology can support clinicians in making accurate NS diagnoses. This work will assist in earlier detection and in increasing recognition of NS throughout the world. 2018-09-05T03:29:22Z 2018-09-05T03:29:22Z 2017-09-01 Journal 15524833 15524825 2-s2.0-85026314237 10.1002/ajmg.a.38362 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026314237&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56722 |
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Biochemistry, Genetics and Molecular Biology Medicine Paul Kruszka Antonio R. Porras Yonit A. Addissie Angélica Moresco Sofia Medrano Gary T.K. Mok Gordon K.C. Leung Cedrik Tekendo-Ngongang Annette Uwineza Meow Keong Thong Premala Muthukumarasamy Engela Honey Ekanem N. Ekure Ogochukwu J. Sokunbi Nnenna Kalu Kelly L. Jones Julie D. Kaplan Omar A. Abdul-Rahman Lisa M. Vincent Amber Love Khadija Belhassan Karim Ouldim Ihssane El Bouchikhi Anju Shukla Katta M. Girisha Siddaramappa J. Patil Nirmala D. Sirisena Vajira H.W. Dissanayake C. Sampath Paththinige Rupesh Mishra Eva Klein-Zighelboim Bertha E. Gallardo Jugo Miguel Chávez Pastor Hugo H. Abarca-Barriga Steven A. Skinner Eloise J. Prijoles Eben Badoe Ashleigh D. Gill Vorasuk Shotelersuk Patroula Smpokou Monisha S. Kisling Carlos R. Ferreira Leon Mutesa Andre Megarbane Antonie D. Kline Amy Kimball Emmy Okello Peter Lwabi Twalib Aliku Emmanuel Tenywa Nonglak Boonchooduang Pranoot Tanpaiboon Antonio Richieri-Costa Ambroise Wonkam Brian H.Y. Chung Roger E. Stevenson Marshall Summar Kausik Mandal Shubha R. Phadke María G. Obregon Marius G. Linguraru Maximilian Muenke Noonan syndrome in diverse populations |
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© 2017 Wiley Periodicals, Inc. Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, individuals from diverse populations with NS were evaluated clinically and by facial analysis technology. Clinical data and images from 125 individuals with NS were obtained from 20 countries with an average age of 8 years and female composition of 46%. Individuals were grouped into categories of African descent (African), Asian, Latin American, and additional/other. Across these different population groups, NS was phenotypically similar with only 2 of 21 clinical elements showing a statistically significant difference. The most common clinical characteristics found in all population groups included widely spaced eyes and low-set ears in 80% or greater of participants, short stature in more than 70%, and pulmonary stenosis in roughly half of study individuals. Using facial analysis technology, we compared 161 Caucasian, African, Asian, and Latin American individuals with NS with 161 gender and age matched controls and found that sensitivity was equal to or greater than 94% for all groups, and specificity was equal to or greater than 90%. In summary, we present consistent clinical findings from global populations with NS and additionally demonstrate how facial analysis technology can support clinicians in making accurate NS diagnoses. This work will assist in earlier detection and in increasing recognition of NS throughout the world. |
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Paul Kruszka Antonio R. Porras Yonit A. Addissie Angélica Moresco Sofia Medrano Gary T.K. Mok Gordon K.C. Leung Cedrik Tekendo-Ngongang Annette Uwineza Meow Keong Thong Premala Muthukumarasamy Engela Honey Ekanem N. Ekure Ogochukwu J. Sokunbi Nnenna Kalu Kelly L. Jones Julie D. Kaplan Omar A. Abdul-Rahman Lisa M. Vincent Amber Love Khadija Belhassan Karim Ouldim Ihssane El Bouchikhi Anju Shukla Katta M. Girisha Siddaramappa J. Patil Nirmala D. Sirisena Vajira H.W. Dissanayake C. Sampath Paththinige Rupesh Mishra Eva Klein-Zighelboim Bertha E. Gallardo Jugo Miguel Chávez Pastor Hugo H. Abarca-Barriga Steven A. Skinner Eloise J. Prijoles Eben Badoe Ashleigh D. Gill Vorasuk Shotelersuk Patroula Smpokou Monisha S. Kisling Carlos R. Ferreira Leon Mutesa Andre Megarbane Antonie D. Kline Amy Kimball Emmy Okello Peter Lwabi Twalib Aliku Emmanuel Tenywa Nonglak Boonchooduang Pranoot Tanpaiboon Antonio Richieri-Costa Ambroise Wonkam Brian H.Y. Chung Roger E. Stevenson Marshall Summar Kausik Mandal Shubha R. Phadke María G. Obregon Marius G. Linguraru Maximilian Muenke |
author_facet |
Paul Kruszka Antonio R. Porras Yonit A. Addissie Angélica Moresco Sofia Medrano Gary T.K. Mok Gordon K.C. Leung Cedrik Tekendo-Ngongang Annette Uwineza Meow Keong Thong Premala Muthukumarasamy Engela Honey Ekanem N. Ekure Ogochukwu J. Sokunbi Nnenna Kalu Kelly L. Jones Julie D. Kaplan Omar A. Abdul-Rahman Lisa M. Vincent Amber Love Khadija Belhassan Karim Ouldim Ihssane El Bouchikhi Anju Shukla Katta M. Girisha Siddaramappa J. Patil Nirmala D. Sirisena Vajira H.W. Dissanayake C. Sampath Paththinige Rupesh Mishra Eva Klein-Zighelboim Bertha E. Gallardo Jugo Miguel Chávez Pastor Hugo H. Abarca-Barriga Steven A. Skinner Eloise J. Prijoles Eben Badoe Ashleigh D. Gill Vorasuk Shotelersuk Patroula Smpokou Monisha S. Kisling Carlos R. Ferreira Leon Mutesa Andre Megarbane Antonie D. Kline Amy Kimball Emmy Okello Peter Lwabi Twalib Aliku Emmanuel Tenywa Nonglak Boonchooduang Pranoot Tanpaiboon Antonio Richieri-Costa Ambroise Wonkam Brian H.Y. Chung Roger E. Stevenson Marshall Summar Kausik Mandal Shubha R. Phadke María G. Obregon Marius G. Linguraru Maximilian Muenke |
author_sort |
Paul Kruszka |
title |
Noonan syndrome in diverse populations |
title_short |
Noonan syndrome in diverse populations |
title_full |
Noonan syndrome in diverse populations |
title_fullStr |
Noonan syndrome in diverse populations |
title_full_unstemmed |
Noonan syndrome in diverse populations |
title_sort |
noonan syndrome in diverse populations |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026314237&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56722 |
_version_ |
1681424745189343232 |