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- Publisher Website: 10.1002/ajmg.a.61461
- Scopus: eid_2-s2.0-85076760715
- PMID: 31854143
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Article: Turner syndrome in diverse populations
Title | Turner syndrome in diverse populations |
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Authors | Kruszka, PAddissie, YATekendo-Ngongang, CJones, KLSavage, SKGupta, NSinsena, NDDissanayake, VHWPaththirnige, CSAravena, TNampoothiri, SYesodharan, DGirisha, KMPatil, SJJamuar, SSGoh, JCYUtari, ASihombing, NMishra, RChitrakar, NSInele, BCLulseged, EMegarbane, AUwineza, AOyenusi, EEOlopade, OBFasanmade, OADuenas-Roque, MMThong, MKTung, JYLMok, GTKFleischer, NRwegerera, GMde Herreros, MBWatts, JFieggen, KHuckstadt, VMoresco, AObregon, MGHussen, DFAshaat, NAAshaat, EAChung, BHYBadoe, EFaradz, SMHEl Ruby, MOShotelersuk, VWonkam, AEkure, ENPhadke, SRRichieri-Costa, AMuenke, M |
Keywords | diverse populations facial analysis technology health disparities Turner syndrome |
Issue Date | 2020 |
Publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jabout/33129/ProductInformation.html |
Citation | American Journal of Medical Genetics Part A, 2020, v. 182 n. 2, p. 303-313 How to Cite? |
Abstract | Turner syndrome (TS) is a common multiple congenital anomaly syndrome resulting from complete or partial absence of the second X chromosome. In this study, we explore the phenotype of TS in diverse populations using clinical examination and facial analysis technology. Clinical data from 78 individuals and images from 108 individuals with TS from 19 different countries were analyzed. Individuals were grouped into categories of African descent (African), Asian, Latin American, Caucasian (European descent), and Middle Eastern. The most common phenotype features across all population groups were short stature (86%), cubitus valgus (76%), and low posterior hairline 70%. Two facial analysis technology experiments were conducted: TS versus general population and TS versus Noonan syndrome. Across all ethnicities, facial analysis was accurate in diagnosing TS from frontal facial images as measured by the area under the curve (AUC). An AUC of 0.903 (p < .001) was found for TS versus general population controls and 0.925 (p < .001) for TS versus individuals with Noonan syndrome. In summary, we present consistent clinical findings from global populations with TS and additionally demonstrate that facial analysis technology can accurately distinguish TS from the general population and Noonan syndrome. |
Persistent Identifier | http://hdl.handle.net/10722/281230 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.718 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kruszka, P | - |
dc.contributor.author | Addissie, YA | - |
dc.contributor.author | Tekendo-Ngongang, C | - |
dc.contributor.author | Jones, KL | - |
dc.contributor.author | Savage, SK | - |
dc.contributor.author | Gupta, N | - |
dc.contributor.author | Sinsena, ND | - |
dc.contributor.author | Dissanayake, VHW | - |
dc.contributor.author | Paththirnige, CS | - |
dc.contributor.author | Aravena, T | - |
dc.contributor.author | Nampoothiri, S | - |
dc.contributor.author | Yesodharan, D | - |
dc.contributor.author | Girisha, KM | - |
dc.contributor.author | Patil, SJ | - |
dc.contributor.author | Jamuar, SS | - |
dc.contributor.author | Goh, JCY | - |
dc.contributor.author | Utari, A | - |
dc.contributor.author | Sihombing, N | - |
dc.contributor.author | Mishra, R | - |
dc.contributor.author | Chitrakar, NS | - |
dc.contributor.author | Inele, BC | - |
dc.contributor.author | Lulseged, E | - |
dc.contributor.author | Megarbane, A | - |
dc.contributor.author | Uwineza, A | - |
dc.contributor.author | Oyenusi, EE | - |
dc.contributor.author | Olopade, OB | - |
dc.contributor.author | Fasanmade, OA | - |
dc.contributor.author | Duenas-Roque, MM | - |
dc.contributor.author | Thong, MK | - |
dc.contributor.author | Tung, JYL | - |
dc.contributor.author | Mok, GTK | - |
dc.contributor.author | Fleischer, N | - |
dc.contributor.author | Rwegerera, GM | - |
dc.contributor.author | de Herreros, MB | - |
dc.contributor.author | Watts, J | - |
dc.contributor.author | Fieggen, K | - |
dc.contributor.author | Huckstadt, V | - |
dc.contributor.author | Moresco, A | - |
dc.contributor.author | Obregon, MG | - |
dc.contributor.author | Hussen, DF | - |
dc.contributor.author | Ashaat, NA | - |
dc.contributor.author | Ashaat, EA | - |
dc.contributor.author | Chung, BHY | - |
dc.contributor.author | Badoe, E | - |
dc.contributor.author | Faradz, SMH | - |
dc.contributor.author | El Ruby, MO | - |
dc.contributor.author | Shotelersuk, V | - |
dc.contributor.author | Wonkam, A | - |
dc.contributor.author | Ekure, EN | - |
dc.contributor.author | Phadke, SR | - |
dc.contributor.author | Richieri-Costa, A | - |
dc.contributor.author | Muenke, M | - |
dc.date.accessioned | 2020-03-09T09:51:53Z | - |
dc.date.available | 2020-03-09T09:51:53Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | American Journal of Medical Genetics Part A, 2020, v. 182 n. 2, p. 303-313 | - |
dc.identifier.issn | 1552-4825 | - |
dc.identifier.uri | http://hdl.handle.net/10722/281230 | - |
dc.description.abstract | Turner syndrome (TS) is a common multiple congenital anomaly syndrome resulting from complete or partial absence of the second X chromosome. In this study, we explore the phenotype of TS in diverse populations using clinical examination and facial analysis technology. Clinical data from 78 individuals and images from 108 individuals with TS from 19 different countries were analyzed. Individuals were grouped into categories of African descent (African), Asian, Latin American, Caucasian (European descent), and Middle Eastern. The most common phenotype features across all population groups were short stature (86%), cubitus valgus (76%), and low posterior hairline 70%. Two facial analysis technology experiments were conducted: TS versus general population and TS versus Noonan syndrome. Across all ethnicities, facial analysis was accurate in diagnosing TS from frontal facial images as measured by the area under the curve (AUC). An AUC of 0.903 (p < .001) was found for TS versus general population controls and 0.925 (p < .001) for TS versus individuals with Noonan syndrome. In summary, we present consistent clinical findings from global populations with TS and additionally demonstrate that facial analysis technology can accurately distinguish TS from the general population and Noonan syndrome. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jabout/33129/ProductInformation.html | - |
dc.relation.ispartof | American Journal of Medical Genetics Part A | - |
dc.rights | Preprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | diverse populations | - |
dc.subject | facial analysis technology | - |
dc.subject | health disparities | - |
dc.subject | Turner syndrome | - |
dc.title | Turner syndrome in diverse populations | - |
dc.type | Article | - |
dc.identifier.email | Tung, JYL: tungylj@HKUCC-COM.hku.hk | - |
dc.identifier.email | Chung, BHY: bhychung@hku.hk | - |
dc.identifier.authority | Chung, BHY=rp00473 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/ajmg.a.61461 | - |
dc.identifier.pmid | 31854143 | - |
dc.identifier.scopus | eid_2-s2.0-85076760715 | - |
dc.identifier.hkuros | 309267 | - |
dc.identifier.volume | 182 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 303 | - |
dc.identifier.epage | 313 | - |
dc.identifier.isi | WOS:000503252200001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1552-4825 | - |