1717-P: Burden of Type 2 Diabetes and Its Genetic Determinants in Indian Populations: Findings from the INDIGENIUS Consortium

To address the public health issue of type 2 diabetes (T2D) and its genetic profile in India, we aimed to evaluate genetic determinants of T2D using family-based cohorts from four distinct Endogamous Ethnic Groups (EEGs) representing two Northern (Punjab [Sikhs: SI] and Rajasthan [Agarwals: AG]) and...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2019-06, Vol.68 (Supplement_1)
Hauptverfasser: VENKATESAN, VETTRISELVI, LOPEZ-ALVARENGA, JUAN C., ARYA, RECTOR, KOSHY, TEENA, RAVICHANDRAN, UMARANI, SHARMA, SURENDRA, LODHA, SAILESH, PONNALA, AMARESH REDDY, SHARMA, KRISHNA KUMAR, SHAIK, MAHABOOB VALI, RESENDEZ, ROY G., RAMU, DEEPIKA, VENUGOPAL, PRIYANKA, R., PARTHASARATHY, S., NOELTA, EZEILO, JULIET A., BEJAR, CYNTHIA A., MUMMIDI, SRINIVAS, NATESAN, CHIDAMBARAM, BLANGERO, JOHN, MEDICHERLA, KRISHNA M., THANIKACHALAM, SADAGOPAN, PANCHATCHARAM, THYAGARAJAN SADRAS, K., DILEEP KUMAR, GUPTA, RAJEEV, SANGHERA, DHARAMBIR K., DUGGIRALA, RAVINDRANATH, PAUL, SOLOMON FRANKLIN
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container_title Diabetes (New York, N.Y.)
container_volume 68
creator VENKATESAN, VETTRISELVI
LOPEZ-ALVARENGA, JUAN C.
ARYA, RECTOR
KOSHY, TEENA
RAVICHANDRAN, UMARANI
SHARMA, SURENDRA
LODHA, SAILESH
PONNALA, AMARESH REDDY
SHARMA, KRISHNA KUMAR
SHAIK, MAHABOOB VALI
RESENDEZ, ROY G.
RAMU, DEEPIKA
VENUGOPAL, PRIYANKA
R., PARTHASARATHY
S., NOELTA
EZEILO, JULIET A.
BEJAR, CYNTHIA A.
MUMMIDI, SRINIVAS
NATESAN, CHIDAMBARAM
BLANGERO, JOHN
MEDICHERLA, KRISHNA M.
THANIKACHALAM, SADAGOPAN
PANCHATCHARAM, THYAGARAJAN SADRAS
K., DILEEP KUMAR
GUPTA, RAJEEV
SANGHERA, DHARAMBIR K.
DUGGIRALA, RAVINDRANATH
PAUL, SOLOMON FRANKLIN
description To address the public health issue of type 2 diabetes (T2D) and its genetic profile in India, we aimed to evaluate genetic determinants of T2D using family-based cohorts from four distinct Endogamous Ethnic Groups (EEGs) representing two Northern (Punjab [Sikhs: SI] and Rajasthan [Agarwals: AG]) and two Southern (Tamil Nadu [Chettiars: CH] and Andhra Pradesh [Reddys: RE]) states of India, and to examine whether genetic variants found through targeted sequencing of the previously established 8 South Asian T2D risk loci (including the one from the Sikh population) are relevant to the AG, CH, and RE EEGs. In this study, we report the findings of T2D occurrence and genetic basis of T2D/related traits from the EEGs, as part of the INDIGENIUS (Indian Diabetes Genetic Studies in collaboration with U.S.) consortium studies, supported by an Indo-U.S. Collaborative Research Partnership on T2D. Data and samples were collected from three EEGs: AG (N=530, Families=25, mean age=43y, mean BMI=27, T2D=37%); CH (N=518, families=21, Age=47y, BMI=27, T2D=33%), and RE (N=500, Families=22, Age=46y, BMI=27, T2D=36%). Each of the families from an EEG was ascertained by a proband with T2D. The status of T2D was defined by ADA 2018 guidelines (fasting glucose≥126 mg/dl or HbA1c≥6.5% and/or use of diabetes medication/history). Similar characteristics for the SI EEG (N=1260, Families=324, Age=51y, BMI=27, T2D=75%) were obtained previously. We used the variance components method as implemented in the program SOLAR to carry out genetic analyses. All analyses were adjusted for age and sex effects. In all cohorts, T2D heritability (h2) (p
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In this study, we report the findings of T2D occurrence and genetic basis of T2D/related traits from the EEGs, as part of the INDIGENIUS (Indian Diabetes Genetic Studies in collaboration with U.S.) consortium studies, supported by an Indo-U.S. Collaborative Research Partnership on T2D. Data and samples were collected from three EEGs: AG (N=530, Families=25, mean age=43y, mean BMI=27, T2D=37%); CH (N=518, families=21, Age=47y, BMI=27, T2D=33%), and RE (N=500, Families=22, Age=46y, BMI=27, T2D=36%). Each of the families from an EEG was ascertained by a proband with T2D. The status of T2D was defined by ADA 2018 guidelines (fasting glucose≥126 mg/dl or HbA1c≥6.5% and/or use of diabetes medication/history). Similar characteristics for the SI EEG (N=1260, Families=324, Age=51y, BMI=27, T2D=75%) were obtained previously. We used the variance components method as implemented in the program SOLAR to carry out genetic analyses. All analyses were adjusted for age and sex effects. In all cohorts, T2D heritability (h2) (p&lt;0.05) ranged from 30% (CH) to 81% (AG). Other T2D-related traits (e.g., BMI, lipids, blood pressure, insulin, glucose) in AG, CH, and RE EEGs exhibited strong genetic influences (h2 range: 15% [triglycerides] - 90% [glucose; non-T2D]). 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In this study, we report the findings of T2D occurrence and genetic basis of T2D/related traits from the EEGs, as part of the INDIGENIUS (Indian Diabetes Genetic Studies in collaboration with U.S.) consortium studies, supported by an Indo-U.S. Collaborative Research Partnership on T2D. Data and samples were collected from three EEGs: AG (N=530, Families=25, mean age=43y, mean BMI=27, T2D=37%); CH (N=518, families=21, Age=47y, BMI=27, T2D=33%), and RE (N=500, Families=22, Age=46y, BMI=27, T2D=36%). Each of the families from an EEG was ascertained by a proband with T2D. The status of T2D was defined by ADA 2018 guidelines (fasting glucose≥126 mg/dl or HbA1c≥6.5% and/or use of diabetes medication/history). Similar characteristics for the SI EEG (N=1260, Families=324, Age=51y, BMI=27, T2D=75%) were obtained previously. We used the variance components method as implemented in the program SOLAR to carry out genetic analyses. All analyses were adjusted for age and sex effects. In all cohorts, T2D heritability (h2) (p&lt;0.05) ranged from 30% (CH) to 81% (AG). Other T2D-related traits (e.g., BMI, lipids, blood pressure, insulin, glucose) in AG, CH, and RE EEGs exhibited strong genetic influences (h2 range: 15% [triglycerides] - 90% [glucose; non-T2D]). Our findings highlight high burden of T2D in Indian EEGs with significant additive genetic influences on T2D and its related traits.</description><subject>Age</subject><subject>Blood pressure</subject><subject>Collaboration</subject><subject>Consortia</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Glucose</subject><subject>Heritability</subject><subject>Insulin</subject><subject>Lipids</subject><subject>Minority &amp; ethnic groups</subject><subject>Population genetics</subject><subject>Public health</subject><subject>Triglycerides</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNotkMtKAzEUhoMoWKsrXyDgUkZzm0vcaW8OlFqwgrshmSSa0klqMrPownc3pXIWB77_4xz4AbjF6IFQWj4qiXmGS1xm6zMwwpzyjJLy8xyMEMIkJby8BFcxbhFCRZoR-D3ZT_BlCEo76A3cHPYaEji1QupeRyicgnUf4UI73dsWThMNnXXCJWgdrJ2ywsG13w870Vvv4hOc2wTdV4Qm-A723xrWq2m9mK3qj3c4SYoPvR26a3BhxC7qm_89Bpv5bDN5zZZvi3ryvMzaguWZJKbSKEeGsVZJziUmRlVYI1oxRhTKq5bpnFBVESYL3lJUECyZpELlJkeajsHd6ew--J9Bx77Z-iG49LEhhFUMMc7yZN2frDb4GIM2zT7YToRDg1FzrLc51tscC2vW9A-mEGtm</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>VENKATESAN, VETTRISELVI</creator><creator>LOPEZ-ALVARENGA, JUAN C.</creator><creator>ARYA, RECTOR</creator><creator>KOSHY, TEENA</creator><creator>RAVICHANDRAN, UMARANI</creator><creator>SHARMA, SURENDRA</creator><creator>LODHA, SAILESH</creator><creator>PONNALA, AMARESH REDDY</creator><creator>SHARMA, KRISHNA KUMAR</creator><creator>SHAIK, MAHABOOB VALI</creator><creator>RESENDEZ, ROY G.</creator><creator>RAMU, DEEPIKA</creator><creator>VENUGOPAL, PRIYANKA</creator><creator>R., PARTHASARATHY</creator><creator>S., NOELTA</creator><creator>EZEILO, JULIET A.</creator><creator>BEJAR, CYNTHIA A.</creator><creator>MUMMIDI, SRINIVAS</creator><creator>NATESAN, CHIDAMBARAM</creator><creator>BLANGERO, JOHN</creator><creator>MEDICHERLA, KRISHNA M.</creator><creator>THANIKACHALAM, SADAGOPAN</creator><creator>PANCHATCHARAM, THYAGARAJAN SADRAS</creator><creator>K., DILEEP KUMAR</creator><creator>GUPTA, RAJEEV</creator><creator>SANGHERA, DHARAMBIR K.</creator><creator>DUGGIRALA, RAVINDRANATH</creator><creator>PAUL, SOLOMON FRANKLIN</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20190601</creationdate><title>1717-P: Burden of Type 2 Diabetes and Its Genetic Determinants in Indian Populations: Findings from the INDIGENIUS Consortium</title><author>VENKATESAN, VETTRISELVI ; LOPEZ-ALVARENGA, JUAN C. ; ARYA, RECTOR ; KOSHY, TEENA ; RAVICHANDRAN, UMARANI ; SHARMA, SURENDRA ; LODHA, SAILESH ; PONNALA, AMARESH REDDY ; SHARMA, KRISHNA KUMAR ; SHAIK, MAHABOOB VALI ; RESENDEZ, ROY G. ; RAMU, DEEPIKA ; VENUGOPAL, PRIYANKA ; R., PARTHASARATHY ; S., NOELTA ; EZEILO, JULIET A. ; BEJAR, CYNTHIA A. ; MUMMIDI, SRINIVAS ; NATESAN, CHIDAMBARAM ; BLANGERO, JOHN ; MEDICHERLA, KRISHNA M. ; THANIKACHALAM, SADAGOPAN ; PANCHATCHARAM, THYAGARAJAN SADRAS ; K., DILEEP KUMAR ; GUPTA, RAJEEV ; SANGHERA, DHARAMBIR K. ; DUGGIRALA, RAVINDRANATH ; PAUL, SOLOMON FRANKLIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c645-b2f8e050f44cdb99b12fd81e038442d058c4e523d824b69c30621b4b3ad5f50e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age</topic><topic>Blood pressure</topic><topic>Collaboration</topic><topic>Consortia</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Glucose</topic><topic>Heritability</topic><topic>Insulin</topic><topic>Lipids</topic><topic>Minority &amp; 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In this study, we report the findings of T2D occurrence and genetic basis of T2D/related traits from the EEGs, as part of the INDIGENIUS (Indian Diabetes Genetic Studies in collaboration with U.S.) consortium studies, supported by an Indo-U.S. Collaborative Research Partnership on T2D. Data and samples were collected from three EEGs: AG (N=530, Families=25, mean age=43y, mean BMI=27, T2D=37%); CH (N=518, families=21, Age=47y, BMI=27, T2D=33%), and RE (N=500, Families=22, Age=46y, BMI=27, T2D=36%). Each of the families from an EEG was ascertained by a proband with T2D. The status of T2D was defined by ADA 2018 guidelines (fasting glucose≥126 mg/dl or HbA1c≥6.5% and/or use of diabetes medication/history). Similar characteristics for the SI EEG (N=1260, Families=324, Age=51y, BMI=27, T2D=75%) were obtained previously. We used the variance components method as implemented in the program SOLAR to carry out genetic analyses. All analyses were adjusted for age and sex effects. In all cohorts, T2D heritability (h2) (p&lt;0.05) ranged from 30% (CH) to 81% (AG). Other T2D-related traits (e.g., BMI, lipids, blood pressure, insulin, glucose) in AG, CH, and RE EEGs exhibited strong genetic influences (h2 range: 15% [triglycerides] - 90% [glucose; non-T2D]). Our findings highlight high burden of T2D in Indian EEGs with significant additive genetic influences on T2D and its related traits.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db19-1717-P</doi></addata></record>
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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Age
Blood pressure
Collaboration
Consortia
Diabetes
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Genetic analysis
Genetic diversity
Glucose
Heritability
Insulin
Lipids
Minority & ethnic groups
Population genetics
Public health
Triglycerides
title 1717-P: Burden of Type 2 Diabetes and Its Genetic Determinants in Indian Populations: Findings from the INDIGENIUS Consortium
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