Análisis genealógico de diabetes tipo 2 en familias extensas multigeneracionales de una comunidad yucateca.
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| Title: | Análisis genealógico de diabetes tipo 2 en familias extensas multigeneracionales de una comunidad yucateca. |
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| Alternate Title: | Genealogical analysis of type 2 Diabetes in extended multigenerational families of a Yucatecan community Introduction. |
| Authors: | Pinto-Escalante, Doris del Carmen1, Ruiz-García, Lorena1, García-Escalante, María Guadalupe1, Valadez-González, Nina1 valadez@correo.uady.mx, Rubi-Castellanos, Rodrigo1, Vera-Gamboa, Ligia1, Pavía-Ruz, Norma1, González-Herrera, Lizbeth1, Polanco-Reyes, Lucila1, Valencia-Pacheco, Guillermo1, Nakazawa-Ueji, Yumi Elena1 |
| Source: | Revista Biomedica. ene-abr2024, Vol. 35 Issue 1, p1-9. 9p. |
| Subjects: | Type 2 diabetes, Genealogy, Family history (Genealogy), Genetics, Type 2 diabetes risk factors |
| Abstract (English): | Type 2 diabetes (T2D) affected 537 million of adults (20-79 years old in 2021, with an increasing trend, highlighting the younger age of onset. Family cases are frequent, they increase the risk of developing the pathology in healthy people in whom intervention is feasible to minimize risks. Genealogy is a tool to determine genetic susceptibility and other variables that contribute to determining the level of risk. Aim. To analyze the behavior of T2D in extended multigenerational families from a community in Yucatán. Material and methods. Conducted interviews were made to identify those affected with T2D in the community of Sisal, Yucatán. Genealogies were constructed and the number of affected individuals, their distribution by sex, parental branch of transmission, degree of kinship, and age of diagnosis were analyzed. Risk stratification of healthy people for developing T2D was made with ancestry information. Results. Twenty four extended families were found, 769 individuals with a similar proportion of men/women, in 3-5 generations and 3-25 affected with T2D (32.4%). Women predominated in number of affected (61.3% deceased, 58% alive), high number with early onset age (<45 years, 48.9%) and having affected parent (75%). Both parents affected represented 20.8%. Maternal descent prevailed (70.8%) among those affected. 71.6% of healthy people presented a high risk of developing T2D. Conclusion. The genealogies made it possible to identify the predominance of women among the risk factors and the maternal branch among those affected, as well as high risk for T2DM among healthy people. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Introducción. La diabetes tipo 2 (DT2) afectó a 537 millones de adultos (20-79 años) en 2021, con tendencia al incremento, destacándose la menor edad de inicio. Los casos familiares son frecuentes, lo que aumenta el riesgo de desarrollar la patología en las personas sanas y en quienes es factible la intervención para minimizar riesgos. La genealogía es una herramienta para determinar la susceptibilidad genética y otras variables que contribuyen a determinar el nivel de riesgo. Objetivo. Analizar el comportamiento de la DT2 en familias extensas multigeneracionales de una comunidad de Yucatán. Material y métodos. Se realizaron entrevistas para identificación de afectados con DT2 en la comunidad de Sisal, Yucatán. Se construyeron genealogías y analizó el número de afectados, su distribución por sexo, la rama parental de transmisión, grado de parentesco y edad de diagnóstico. Se estratificó el riesgo de personas sanas para desarrollar DT2 con base en sus ancestros. Resultados. Se identificaron 24 familias extensas, 769 individuos con proporción similar de hombres/ mujeres, en 3-5 generaciones y 3-25 afectados con DT2 (32.4%). Predominaron las mujeres en número de afectados (en fallecidos 61.3%, en vivos 58%), alto número con edad de inicio temprano (<45 años, 48.9%) y tener progenitor afectado (75%). Ambos progenitores afectados representaron el 20.8%. Prevaleció la ascendencia materna (70.8%) entre los afectados. 71.6% de personas sanas presentaron riesgo alto para desarrollar DT2. Conclusión. Las genealogías permitieron identificar el predominio de mujeres entre los factores de riesgo y la rama materna entre afectados, así como un riesgo alto para DT2 entre sanos. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Biomedica is the property of Centro de Investigaciones Regionales Dr. Hideyo Noguchi; Facultad de Medicina, UADY and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
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| Header | DbId: lth DbLabel: MedicLatina An: 174732925 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Análisis genealógico de diabetes tipo 2 en familias extensas multigeneracionales de una comunidad yucateca. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Genealogical analysis of type 2 Diabetes in extended multigenerational families of a Yucatecan community Introduction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pinto-Escalante%2C+Doris+del+Carmen%22">Pinto-Escalante, Doris del Carmen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ruiz-García%2C+Lorena%22">Ruiz-García, Lorena</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22García-Escalante%2C+María+Guadalupe%22">García-Escalante, María Guadalupe</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Valadez-González%2C+Nina%22">Valadez-González, Nina</searchLink><relatesTo>1</relatesTo><i> valadez@correo.uady.mx</i><br /><searchLink fieldCode="AR" term="%22Rubi-Castellanos%2C+Rodrigo%22">Rubi-Castellanos, Rodrigo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vera-Gamboa%2C+Ligia%22">Vera-Gamboa, Ligia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pavía-Ruz%2C+Norma%22">Pavía-Ruz, Norma</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22González-Herrera%2C+Lizbeth%22">González-Herrera, Lizbeth</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Polanco-Reyes%2C+Lucila%22">Polanco-Reyes, Lucila</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Valencia-Pacheco%2C+Guillermo%22">Valencia-Pacheco, Guillermo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nakazawa-Ueji%2C+Yumi+Elena%22">Nakazawa-Ueji, Yumi Elena</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Biomedica%22">Revista Biomedica</searchLink>. ene-abr2024, Vol. 35 Issue 1, p1-9. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Type+2+diabetes%22">Type 2 diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Genealogy%22">Genealogy</searchLink><br /><searchLink fieldCode="DE" term="%22Family+history+%28Genealogy%29%22">Family history (Genealogy)</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Type+2+diabetes+risk+factors%22">Type 2 diabetes risk factors</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Type 2 diabetes (T2D) affected 537 million of adults (20-79 years old in 2021, with an increasing trend, highlighting the younger age of onset. Family cases are frequent, they increase the risk of developing the pathology in healthy people in whom intervention is feasible to minimize risks. Genealogy is a tool to determine genetic susceptibility and other variables that contribute to determining the level of risk. Aim. To analyze the behavior of T2D in extended multigenerational families from a community in Yucatán. Material and methods. Conducted interviews were made to identify those affected with T2D in the community of Sisal, Yucatán. Genealogies were constructed and the number of affected individuals, their distribution by sex, parental branch of transmission, degree of kinship, and age of diagnosis were analyzed. Risk stratification of healthy people for developing T2D was made with ancestry information. Results. Twenty four extended families were found, 769 individuals with a similar proportion of men/women, in 3-5 generations and 3-25 affected with T2D (32.4%). Women predominated in number of affected (61.3% deceased, 58% alive), high number with early onset age (<45 years, 48.9%) and having affected parent (75%). Both parents affected represented 20.8%. Maternal descent prevailed (70.8%) among those affected. 71.6% of healthy people presented a high risk of developing T2D. Conclusion. The genealogies made it possible to identify the predominance of women among the risk factors and the maternal branch among those affected, as well as high risk for T2DM among healthy people. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: Introducción. La diabetes tipo 2 (DT2) afectó a 537 millones de adultos (20-79 años) en 2021, con tendencia al incremento, destacándose la menor edad de inicio. Los casos familiares son frecuentes, lo que aumenta el riesgo de desarrollar la patología en las personas sanas y en quienes es factible la intervención para minimizar riesgos. La genealogía es una herramienta para determinar la susceptibilidad genética y otras variables que contribuyen a determinar el nivel de riesgo. Objetivo. Analizar el comportamiento de la DT2 en familias extensas multigeneracionales de una comunidad de Yucatán. Material y métodos. Se realizaron entrevistas para identificación de afectados con DT2 en la comunidad de Sisal, Yucatán. Se construyeron genealogías y analizó el número de afectados, su distribución por sexo, la rama parental de transmisión, grado de parentesco y edad de diagnóstico. Se estratificó el riesgo de personas sanas para desarrollar DT2 con base en sus ancestros. Resultados. Se identificaron 24 familias extensas, 769 individuos con proporción similar de hombres/ mujeres, en 3-5 generaciones y 3-25 afectados con DT2 (32.4%). Predominaron las mujeres en número de afectados (en fallecidos 61.3%, en vivos 58%), alto número con edad de inicio temprano (<45 años, 48.9%) y tener progenitor afectado (75%). Ambos progenitores afectados representaron el 20.8%. Prevaleció la ascendencia materna (70.8%) entre los afectados. 71.6% de personas sanas presentaron riesgo alto para desarrollar DT2. Conclusión. Las genealogías permitieron identificar el predominio de mujeres entre los factores de riesgo y la rama materna entre afectados, así como un riesgo alto para DT2 entre sanos. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Biomedica is the property of Centro de Investigaciones Regionales Dr. Hideyo Noguchi; Facultad de Medicina, UADY and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.32776/revbiomed.v35i1.1136 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Subjects: – SubjectFull: Type 2 diabetes Type: general – SubjectFull: Genealogy Type: general – SubjectFull: Family history (Genealogy) Type: general – SubjectFull: Genetics Type: general – SubjectFull: Type 2 diabetes risk factors Type: general Titles: – TitleFull: Análisis genealógico de diabetes tipo 2 en familias extensas multigeneracionales de una comunidad yucateca. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pinto-Escalante, Doris del Carmen – PersonEntity: Name: NameFull: Ruiz-García, Lorena – PersonEntity: Name: NameFull: García-Escalante, María Guadalupe – PersonEntity: Name: NameFull: Valadez-González, Nina – PersonEntity: Name: NameFull: Rubi-Castellanos, Rodrigo – PersonEntity: Name: NameFull: Vera-Gamboa, Ligia – PersonEntity: Name: NameFull: Pavía-Ruz, Norma – PersonEntity: Name: NameFull: González-Herrera, Lizbeth – PersonEntity: Name: NameFull: Polanco-Reyes, Lucila – PersonEntity: Name: NameFull: Valencia-Pacheco, Guillermo – PersonEntity: Name: NameFull: Nakazawa-Ueji, Yumi Elena IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: ene-abr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0188493X Numbering: – Type: volume Value: 35 – Type: issue Value: 1 Titles: – TitleFull: Revista Biomedica Type: main |
| ResultId | 1 |
