Literature DB >> 28328118

22q11.2 deletion syndrome in diverse populations.

Paul Kruszka1, Yonit A Addissie1, Daniel E McGinn2, Antonio R Porras3, Elijah Biggs3, Matthew Share2, T Blaine Crowley2, Brian H Y Chung4, Gary T K Mok4, Christopher C Y Mak4, Premala Muthukumarasamy5, Meow-Keong Thong5, Nirmala D Sirisena6, Vajira H W Dissanayake6, C Sampath Paththinige6, L B Lahiru Prabodha6, Rupesh Mishra6, Vorasuk Shotelersuk7, Ekanem Nsikak Ekure8, Ogochukwu Jidechukwu Sokunbi8, Nnenna Kalu8, Carlos R Ferreira9, Jordann-Mishael Duncan1, Siddaramappa Jagdish Patil10, Kelly L Jones11, Julie D Kaplan11, Omar A Abdul-Rahman11, Annette Uwineza12, Leon Mutesa12, Angélica Moresco13, María Gabriela Obregon13, Antonio Richieri-Costa14, Vera L Gil-da-Silva-Lopes15, Adebowale A Adeyemo16, Marshall Summar9, Elaine H Zackai2, Donna M McDonald-McGinn2, Marius George Linguraru3, Maximilian Muenke1.   

Abstract

22q11.2 deletion syndrome (22q11.2 DS) is the most common microdeletion syndrome and is underdiagnosed in diverse populations. This syndrome has a variable phenotype and affects multiple systems, making early recognition imperative. In this study, individuals from diverse populations with 22q11.2 DS were evaluated clinically and by facial analysis technology. Clinical information from 106 individuals and images from 101 were collected from individuals with 22q11.2 DS from 11 countries; average age was 11.7 and 47% were male. Individuals were grouped into categories of African descent (African), Asian, and Latin American. We found that the phenotype of 22q11.2 DS varied across population groups. Only two findings, congenital heart disease and learning problems, were found in greater than 50% of participants. When comparing the clinical features of 22q11.2 DS in each population, the proportion of individuals within each clinical category was statistically different except for learning problems and ear anomalies (P < 0.05). However, when Africans were removed from analysis, six additional clinical features were found to be independent of ethnicity (P ≥ 0.05). Using facial analysis technology, we compared 156 Caucasians, Africans, Asians, and Latin American individuals with 22q11.2 DS with 156 age and gender matched controls and found that sensitivity and specificity were greater than 96% for all populations. In summary, we present the varied findings from global populations with 22q11.2 DS and demonstrate how facial analysis technology can assist clinicians in making accurate 22q11.2 DS diagnoses. This work will assist in earlier detection and in increasing recognition of 22q11.2 DS throughout the world.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  22q11.2 Deletion syndrome; DiGeorge syndrome; Velocardiofacial Syndrome; diverse populations; facial analysis technology

Mesh:

Year:  2017        PMID: 28328118      PMCID: PMC5363275          DOI: 10.1002/ajmg.a.38199

Source DB:  PubMed          Journal:  Am J Med Genet A        ISSN: 1552-4825            Impact factor:   2.802


  24 in total

1.  Ensemble learning for the detection of facial dysmorphology.

Authors:  Qian Zhao; Naoufel Werghi; Kazunori Okada; Kenneth Rosenbaum; Marshall Summar; Marius George Linguraru
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

2.  Difference of clinical phenotypes and immunological features of 22q11.2 deletion syndrome in north-eastern Thai children compare to western countries.

Authors:  Khunton Wichajam; Jureeporn Kampan
Journal:  J Med Assoc Thai       Date:  2014-10

3.  Molecular and clinical study of 183 patients with conotruncal anomaly face syndrome.

Authors:  R Matsuoka; M Kimura; P J Scambler; B E Morrow; S Imamura; S Minoshima; N Shimizu; H Yamagishi; K Joh-o; S Watanabe; K Oyama; T Saji; M Ando; A Takao; K Momma
Journal:  Hum Genet       Date:  1998-07       Impact factor: 4.132

Review 4.  Velocardiofacial syndrome, DiGeorge syndrome: the chromosome 22q11.2 deletion syndromes.

Authors:  Lisa J Kobrynski; Kathleen E Sullivan
Journal:  Lancet       Date:  2007-10-20       Impact factor: 79.321

5.  Hierarchical constrained local model using ICA and its application to Down syndrome detection.

Authors:  Qian Zhao; Kazunori Okada; Kenneth Rosenbaum; Dina J Zand; Raymond Sze; Marshall Summar; Marius George Linguraru
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

6.  Chromosomal microarray versus karyotyping for prenatal diagnosis.

Authors:  Ronald J Wapner; Christa Lese Martin; Brynn Levy; Blake C Ballif; Christine M Eng; Julia M Zachary; Melissa Savage; Lawrence D Platt; Daniel Saltzman; William A Grobman; Susan Klugman; Thomas Scholl; Joe Leigh Simpson; Kimberly McCall; Vimla S Aggarwal; Brian Bunke; Odelia Nahum; Ankita Patel; Allen N Lamb; Elizabeth A Thom; Arthur L Beaudet; David H Ledbetter; Lisa G Shaffer; Laird Jackson
Journal:  N Engl J Med       Date:  2012-12-06       Impact factor: 91.245

Review 7.  22q11.2 deletion syndrome.

Authors:  Donna M McDonald-McGinn; Kathleen E Sullivan; Bruno Marino; Nicole Philip; Ann Swillen; Jacob A S Vorstman; Elaine H Zackai; Beverly S Emanuel; Joris R Vermeesch; Bernice E Morrow; Peter J Scambler; Anne S Bassett
Journal:  Nat Rev Dis Primers       Date:  2015-11-19       Impact factor: 52.329

8.  Facial features in children with the 22q11 deletion syndrome.

Authors:  S Oskarsdóttir; E Holmberg; A Fasth; K Strömland
Journal:  Acta Paediatr       Date:  2008-05-14       Impact factor: 2.299

9.  Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA.

Authors:  Qian Zhao; Kazunori Okada; Kenneth Rosenbaum; Lindsay Kehoe; Dina J Zand; Raymond Sze; Marshall Summar; Marius George Linguraru
Journal:  Med Image Anal       Date:  2014-04-15       Impact factor: 8.545

10.  Characteristic face: a key indicator for direct diagnosis of 22q11.2 deletions in Chinese velocardiofacial syndrome patients.

Authors:  Dandan Wu; Yang Chen; Chen Xu; Ke Wang; Huijun Wang; Fengyun Zheng; Duan Ma; Guomin Wang
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

View more
  31 in total

1.  Beckwith-Wiedemann syndrome in diverse populations.

Authors:  Kelly A Duffy; Brian J Sajorda; Alice C Yu; Evan R Hathaway; Katheryn L Grand; Matthew A Deardorff; Jennifer M Kalish
Journal:  Am J Med Genet A       Date:  2019-02-04       Impact factor: 2.802

2.  Turner syndrome in diverse populations.

Authors:  Paul Kruszka; Yonit A Addissie; Cedrik Tekendo-Ngongang; Kelly L Jones; Sarah K Savage; Neerja Gupta; Nirmala D Sirisena; Vajira H W Dissanayake; C Sampath Paththinige; Teresa Aravena; Sheela Nampoothiri; Dhanya Yesodharan; Katta M Girisha; Siddaramappa Jagdish Patil; Saumya Shekhar Jamuar; Jasmine Chew-Yin Goh; Agustini Utari; Nydia Sihombing; Rupesh Mishra; Neer Shoba Chitrakar; Brenda C Iriele; Ezana Lulseged; Andre Megarbane; Annette Uwineza; Elizabeth Eberechi Oyenusi; Oluwarotimi Bolaji Olopade; Olufemi Adetola Fasanmade; Milagros M Duenas-Roque; Meow-Keong Thong; Joanna Y L Tung; Gary T K Mok; Nicole Fleischer; Godfrey M Rwegerera; María Beatriz de Herreros; Johnathan Watts; Karen Fieggen; Victoria Huckstadt; Angélica Moresco; María Gabriela Obregon; Dalia Farouk Hussen; Neveen A Ashaat; Engy A Ashaat; Brian H Y Chung; Eben Badoe; Sultana M H Faradz; Mona O El Ruby; Vorasuk Shotelersuk; Ambroise Wonkam; Ekanem Nsikak Ekure; Shubha R Phadke; Antonio Richieri-Costa; Maximilian Muenke
Journal:  Am J Med Genet A       Date:  2019-12-19       Impact factor: 2.802

3.  Cornelia de Lange syndrome in diverse populations.

Authors:  Leah Dowsett; Antonio R Porras; Paul Kruszka; Brandon Davis; Tommy Hu; Engela Honey; Eben Badoe; Meow-Keong Thong; Eyby Leon; Katta M Girisha; Anju Shukla; Shalini S Nayak; Vorasuk Shotelersuk; Andre Megarbane; Shubha Phadke; Nirmala D Sirisena; Vajira H W Dissanayake; Carlos R Ferreira; Monisha S Kisling; Pranoot Tanpaiboon; Annette Uwineza; Leon Mutesa; Cedrik Tekendo-Ngongang; Ambroise Wonkam; Karen Fieggen; Leticia Cassimiro Batista; Danilo Moretti-Ferreira; Roger E Stevenson; Eloise J Prijoles; David Everman; Kate Clarkson; Jessica Worthington; Virginia Kimonis; Fuki Hisama; Carol Crowe; Paul Wong; Kisha Johnson; Robin D Clark; Lynne Bird; Diane Masser-Frye; Marie McDonald; Patrick Willems; Elizabeth Roeder; Sulgana Saitta; Kwame Anyane-Yeoba; Laurie Demmer; Naoki Hamajima; Zornitza Stark; Greta Gillies; Louanne Hudgins; Usha Dave; Stavit Shalev; Victoria Siu; Ann Ades; Holly Dubbs; Sarah Raible; Maninder Kaur; Emanuela Salzano; Laird Jackson; Matthew Deardorff; Antonie Kline; Marshall Summar; Maximilian Muenke; Marius George Linguraru; Ian D Krantz
Journal:  Am J Med Genet A       Date:  2019-01-06       Impact factor: 2.802

4.  Noonan syndrome in diverse populations.

Authors:  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
Journal:  Am J Med Genet A       Date:  2017-07-27       Impact factor: 2.802

5.  Clinical Features to Predict 22q11.2 Deletion Syndrome Proven by Molecular Genetic Testing.

Authors:  Kitiwan Rojnueangit; Thanitchet Khetkham; Preyaporn Onsod; Takol Chareonsirisuthigul
Journal:  J Pediatr Genet       Date:  2020-10-01

6.  Defining AMIA's artificial intelligence principles.

Authors:  Anthony E Solomonides; Eileen Koski; Shireen M Atabaki; Scott Weinberg; John D McGreevey; Joseph L Kannry; Carolyn Petersen; Christoph U Lehmann
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

7.  A comprehensive clinical and genetic study in 127 patients with ID in Kinshasa, DR Congo.

Authors:  Aimé Lumaka; Valerie Race; Hilde Peeters; Anniek Corveleyn; Zeynep Coban-Akdemir; Shalini N Jhangiani; Xiaofei Song; Gerrye Mubungu; Jennifer Posey; James R Lupski; Joris R Vermeesch; Prosper Lukusa; Koenraad Devriendt
Journal:  Am J Med Genet A       Date:  2018-08-08       Impact factor: 2.802

Review 8.  The 22q11.2 Microdeletion in Pediatric Patients with Cleft Lip, Palate, or Both and Congenital Heart Disease: A Systematic Review.

Authors:  Diana Cárdenas-Nieto; Maribel Forero-Castro; Clara Esteban-Pérez; Julio Martínez-Lozano; Ignacio Briceño-Balcázar
Journal:  J Pediatr Genet       Date:  2019-10-23

9.  Copy number variations in the GATA4, NKX2-5, TBX5, BMP4 CRELD1, and 22q11.2 gene regions in Chinese children with sporadic congenital heart disease.

Authors:  Zhetao Li; Jiwei Huang; Biao Liang; Dingyuan Zeng; Shiqiang Luo; Tizhen Yan; Fengwen Liao; Jun Huang; Jingwen Li; Ren Cai; Xine Deng; Ning Tang
Journal:  J Clin Lab Anal       Date:  2018-09-17       Impact factor: 2.352

10.  Objective differential diagnosis of Noonan and Williams-Beuren syndromes in diverse populations using quantitative facial phenotyping.

Authors:  Antonio R Porras; Marshal Summar; Marius George Linguraru
Journal:  Mol Genet Genomic Med       Date:  2021-03-27       Impact factor: 2.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.