Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci
- Autores
- Li, Yi; Xiong, Ziyi; Zhang, Manfei; Hysi, Pirro G.; Qian, Yu; Adhikari, Kaustubh; Weng, Jun; Wu, Sijie; Du, Siyuan; Gonzalez-Jose, Rolando; Schuler-Faccini, Lavinia; Bortolini, Maria Catira; Acuna Alonzo, Victor; Canizales Quinteros, Samuel; Gallo, Carla; Poletti, Giovanni; Bedoya, Gabriel; Rothhammer, Francisco; Wang, Jiucun; Tan, Jingze; Yuan, Ziyu; Jin, Li; Uitterlinden, André G.; Ghanbari, Mohsen; Ikram, M. Arfan; Nijsten, Tamar; Zhu, Xiangyu; Lei, Zhen; Jia, Peilin; Ruiz-Linares, Andres; Spector, Timothy D.; Wang, Sijia; Kayser, Manfred; Liu, Fan
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology.
Fil: Li, Yi. Chinese Academy of Sciences; República de China. Shanghai Institute Of Nutrition And Health; China
Fil: Xiong, Ziyi. Erasmus University (erasmus University);
Fil: Zhang, Manfei. Fudan University; China. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; China
Fil: Hysi, Pirro G.. Kings College London (kcl);
Fil: Qian, Yu. Chinese Academy of Sciences; República de China. Beijing No.8 High School; China
Fil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. The Open University (ou); Reino Unido
Fil: Weng, Jun. Chinese Academy of Sciences; República de China
Fil: Wu, Sijie. Fudan University; China. Fudan University; China. Shanghai Institute Of Nutrition And Health; China
Fil: Du, Siyuan. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; China. Chinese Academy of Sciences; República de China
Fil: Gonzalez-Jose, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Schuler-Faccini, Lavinia. Universidade Federal do Rio Grande do Sul; Brasil
Fil: Bortolini, Maria Catira. Universidade Federal do Rio Grande do Sul; Brasil
Fil: Acuna Alonzo, Victor. National School Of Anthropology And History; México
Fil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; México
Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; Perú
Fil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; Perú
Fil: Bedoya, Gabriel. Universidad de Antioquia; Colombia
Fil: Rothhammer, Francisco. Universidad de Tarapacá; Chile
Fil: Wang, Jiucun. Fudan University; China
Fil: Tan, Jingze. Fudan University; China
Fil: Yuan, Ziyu. Fudan-taizhou Institute Of Health Sciences; China
Fil: Jin, Li. Shanghai Institute Of Nutrition And Health; China. Fudan-taizhou Institute Of Health Sciences; China. Fudan University; China
Fil: Uitterlinden, André G.. Erasmus University (erasmus University);
Fil: Ghanbari, Mohsen. Erasmus University (erasmus University);
Fil: Ikram, M. Arfan. Erasmus University (erasmus University);
Fil: Nijsten, Tamar. Erasmus University (erasmus University);
Fil: Zhu, Xiangyu. Chinese Academy of Sciences; República de China
Fil: Lei, Zhen. Chinese Academy of Sciences; República de China
Fil: Jia, Peilin. Chinese Academy of Sciences; República de China
Fil: Ruiz-Linares, Andres. Aix-Marseille Universite; Francia. Fudan University; China. University College London; Estados Unidos
Fil: Spector, Timothy D.. Kings College London (kcl);
Fil: Wang, Sijia. Shanghai Institute Of Nutrition And Health; China. Chinese Academy of Sciences; República de China
Fil: Kayser, Manfred. Erasmus University (erasmus University);
Fil: Liu, Fan. Chinese Academy of Sciences; República de China. Erasmus University (erasmus University); - Materia
-
GENOMICS
LATIN AMERICAN POPULATIONS
EAR MORPHOLOGY
DEEP LEARNING - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/215760
Ver los metadatos del registro completo
id |
CONICETDig_229f12b45767ef6c63e0cae80dff3472 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/215760 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel lociLi, YiXiong, ZiyiZhang, ManfeiHysi, Pirro G.Qian, YuAdhikari, KaustubhWeng, JunWu, SijieDu, SiyuanGonzalez-Jose, RolandoSchuler-Faccini, LaviniaBortolini, Maria CatiraAcuna Alonzo, VictorCanizales Quinteros, SamuelGallo, CarlaPoletti, GiovanniBedoya, GabrielRothhammer, FranciscoWang, JiucunTan, JingzeYuan, ZiyuJin, LiUitterlinden, André G.Ghanbari, MohsenIkram, M. ArfanNijsten, TamarZhu, XiangyuLei, ZhenJia, PeilinRuiz-Linares, AndresSpector, Timothy D.Wang, SijiaKayser, ManfredLiu, FanGENOMICSLATIN AMERICAN POPULATIONSEAR MORPHOLOGYDEEP LEARNINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology.Fil: Li, Yi. Chinese Academy of Sciences; República de China. Shanghai Institute Of Nutrition And Health; ChinaFil: Xiong, Ziyi. Erasmus University (erasmus University);Fil: Zhang, Manfei. Fudan University; China. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; ChinaFil: Hysi, Pirro G.. Kings College London (kcl);Fil: Qian, Yu. Chinese Academy of Sciences; República de China. Beijing No.8 High School; ChinaFil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. The Open University (ou); Reino UnidoFil: Weng, Jun. Chinese Academy of Sciences; República de ChinaFil: Wu, Sijie. Fudan University; China. Fudan University; China. Shanghai Institute Of Nutrition And Health; ChinaFil: Du, Siyuan. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; China. Chinese Academy of Sciences; República de ChinaFil: Gonzalez-Jose, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Schuler-Faccini, Lavinia. Universidade Federal do Rio Grande do Sul; BrasilFil: Bortolini, Maria Catira. Universidade Federal do Rio Grande do Sul; BrasilFil: Acuna Alonzo, Victor. National School Of Anthropology And History; MéxicoFil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; MéxicoFil: Gallo, Carla. Universidad Peruana Cayetano Heredia; PerúFil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; PerúFil: Bedoya, Gabriel. Universidad de Antioquia; ColombiaFil: Rothhammer, Francisco. Universidad de Tarapacá; ChileFil: Wang, Jiucun. Fudan University; ChinaFil: Tan, Jingze. Fudan University; ChinaFil: Yuan, Ziyu. Fudan-taizhou Institute Of Health Sciences; ChinaFil: Jin, Li. Shanghai Institute Of Nutrition And Health; China. Fudan-taizhou Institute Of Health Sciences; China. Fudan University; ChinaFil: Uitterlinden, André G.. Erasmus University (erasmus University);Fil: Ghanbari, Mohsen. Erasmus University (erasmus University);Fil: Ikram, M. Arfan. Erasmus University (erasmus University);Fil: Nijsten, Tamar. Erasmus University (erasmus University);Fil: Zhu, Xiangyu. Chinese Academy of Sciences; República de ChinaFil: Lei, Zhen. Chinese Academy of Sciences; República de ChinaFil: Jia, Peilin. Chinese Academy of Sciences; República de ChinaFil: Ruiz-Linares, Andres. Aix-Marseille Universite; Francia. Fudan University; China. University College London; Estados UnidosFil: Spector, Timothy D.. Kings College London (kcl);Fil: Wang, Sijia. Shanghai Institute Of Nutrition And Health; China. Chinese Academy of Sciences; República de ChinaFil: Kayser, Manfred. Erasmus University (erasmus University);Fil: Liu, Fan. Chinese Academy of Sciences; República de China. Erasmus University (erasmus University);Public Library of Science2023-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215760Li, Yi; Xiong, Ziyi; Zhang, Manfei; Hysi, Pirro G.; Qian, Yu; et al.; Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci; Public Library of Science; Plos Genetics; 19; 7; 7-2023; 1-251553-7390CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pgen.1010786info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1010786info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:22:13Zoai:ri.conicet.gov.ar:11336/215760instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:22:13.526CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
title |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
spellingShingle |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci Li, Yi GENOMICS LATIN AMERICAN POPULATIONS EAR MORPHOLOGY DEEP LEARNING |
title_short |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
title_full |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
title_fullStr |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
title_full_unstemmed |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
title_sort |
Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci |
dc.creator.none.fl_str_mv |
Li, Yi Xiong, Ziyi Zhang, Manfei Hysi, Pirro G. Qian, Yu Adhikari, Kaustubh Weng, Jun Wu, Sijie Du, Siyuan Gonzalez-Jose, Rolando Schuler-Faccini, Lavinia Bortolini, Maria Catira Acuna Alonzo, Victor Canizales Quinteros, Samuel Gallo, Carla Poletti, Giovanni Bedoya, Gabriel Rothhammer, Francisco Wang, Jiucun Tan, Jingze Yuan, Ziyu Jin, Li Uitterlinden, André G. Ghanbari, Mohsen Ikram, M. Arfan Nijsten, Tamar Zhu, Xiangyu Lei, Zhen Jia, Peilin Ruiz-Linares, Andres Spector, Timothy D. Wang, Sijia Kayser, Manfred Liu, Fan |
author |
Li, Yi |
author_facet |
Li, Yi Xiong, Ziyi Zhang, Manfei Hysi, Pirro G. Qian, Yu Adhikari, Kaustubh Weng, Jun Wu, Sijie Du, Siyuan Gonzalez-Jose, Rolando Schuler-Faccini, Lavinia Bortolini, Maria Catira Acuna Alonzo, Victor Canizales Quinteros, Samuel Gallo, Carla Poletti, Giovanni Bedoya, Gabriel Rothhammer, Francisco Wang, Jiucun Tan, Jingze Yuan, Ziyu Jin, Li Uitterlinden, André G. Ghanbari, Mohsen Ikram, M. Arfan Nijsten, Tamar Zhu, Xiangyu Lei, Zhen Jia, Peilin Ruiz-Linares, Andres Spector, Timothy D. Wang, Sijia Kayser, Manfred Liu, Fan |
author_role |
author |
author2 |
Xiong, Ziyi Zhang, Manfei Hysi, Pirro G. Qian, Yu Adhikari, Kaustubh Weng, Jun Wu, Sijie Du, Siyuan Gonzalez-Jose, Rolando Schuler-Faccini, Lavinia Bortolini, Maria Catira Acuna Alonzo, Victor Canizales Quinteros, Samuel Gallo, Carla Poletti, Giovanni Bedoya, Gabriel Rothhammer, Francisco Wang, Jiucun Tan, Jingze Yuan, Ziyu Jin, Li Uitterlinden, André G. Ghanbari, Mohsen Ikram, M. Arfan Nijsten, Tamar Zhu, Xiangyu Lei, Zhen Jia, Peilin Ruiz-Linares, Andres Spector, Timothy D. Wang, Sijia Kayser, Manfred Liu, Fan |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
GENOMICS LATIN AMERICAN POPULATIONS EAR MORPHOLOGY DEEP LEARNING |
topic |
GENOMICS LATIN AMERICAN POPULATIONS EAR MORPHOLOGY DEEP LEARNING |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology. Fil: Li, Yi. Chinese Academy of Sciences; República de China. Shanghai Institute Of Nutrition And Health; China Fil: Xiong, Ziyi. Erasmus University (erasmus University); Fil: Zhang, Manfei. Fudan University; China. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; China Fil: Hysi, Pirro G.. Kings College London (kcl); Fil: Qian, Yu. Chinese Academy of Sciences; República de China. Beijing No.8 High School; China Fil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. The Open University (ou); Reino Unido Fil: Weng, Jun. Chinese Academy of Sciences; República de China Fil: Wu, Sijie. Fudan University; China. Fudan University; China. Shanghai Institute Of Nutrition And Health; China Fil: Du, Siyuan. Shanghai Institute Of Nutrition And Health; China. Shanghai Jiao Tong University; China. Chinese Academy of Sciences; República de China Fil: Gonzalez-Jose, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina Fil: Schuler-Faccini, Lavinia. Universidade Federal do Rio Grande do Sul; Brasil Fil: Bortolini, Maria Catira. Universidade Federal do Rio Grande do Sul; Brasil Fil: Acuna Alonzo, Victor. National School Of Anthropology And History; México Fil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; México Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; Perú Fil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; Perú Fil: Bedoya, Gabriel. Universidad de Antioquia; Colombia Fil: Rothhammer, Francisco. Universidad de Tarapacá; Chile Fil: Wang, Jiucun. Fudan University; China Fil: Tan, Jingze. Fudan University; China Fil: Yuan, Ziyu. Fudan-taizhou Institute Of Health Sciences; China Fil: Jin, Li. Shanghai Institute Of Nutrition And Health; China. Fudan-taizhou Institute Of Health Sciences; China. Fudan University; China Fil: Uitterlinden, André G.. Erasmus University (erasmus University); Fil: Ghanbari, Mohsen. Erasmus University (erasmus University); Fil: Ikram, M. Arfan. Erasmus University (erasmus University); Fil: Nijsten, Tamar. Erasmus University (erasmus University); Fil: Zhu, Xiangyu. Chinese Academy of Sciences; República de China Fil: Lei, Zhen. Chinese Academy of Sciences; República de China Fil: Jia, Peilin. Chinese Academy of Sciences; República de China Fil: Ruiz-Linares, Andres. Aix-Marseille Universite; Francia. Fudan University; China. University College London; Estados Unidos Fil: Spector, Timothy D.. Kings College London (kcl); Fil: Wang, Sijia. Shanghai Institute Of Nutrition And Health; China. Chinese Academy of Sciences; República de China Fil: Kayser, Manfred. Erasmus University (erasmus University); Fil: Liu, Fan. Chinese Academy of Sciences; República de China. Erasmus University (erasmus University); |
description |
Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/215760 Li, Yi; Xiong, Ziyi; Zhang, Manfei; Hysi, Pirro G.; Qian, Yu; et al.; Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci; Public Library of Science; Plos Genetics; 19; 7; 7-2023; 1-25 1553-7390 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/215760 |
identifier_str_mv |
Li, Yi; Xiong, Ziyi; Zhang, Manfei; Hysi, Pirro G.; Qian, Yu; et al.; Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci; Public Library of Science; Plos Genetics; 19; 7; 7-2023; 1-25 1553-7390 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pgen.1010786 info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1010786 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Public Library of Science |
publisher.none.fl_str_mv |
Public Library of Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1846083369447718912 |
score |
13.22299 |