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Diabetes care · 2022

Type 2 Diabetes Partitioned Polygenic Scores Associate With Disease Outcomes in 454,193 Individuals Across 13 Cohorts.

СтатьяПоддержка NIH: внешняя программаResearch Support, N.I.H., IntramuralПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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DiCorpo Daniel, LeClair Jessica, Cole Joanne B, Sarnowski Chloé, Ahmadizar Fariba, Bielak Lawrence F, Blokstra Anneke, Bottinger Erwin P, Chaker Layal, Chen Yii-Der I, Chen Ye, de Vries Paul S, Faquih Tariq, Ghanbari Mohsen, Gudmundsdottir Valborg, Guo Xiuqing, Hasbani Natalie R, Ibi Dorina, Ikram M Arfan, Kavousi Maryam, Leonard Hampton L, Leong Aaron, Mercader Josep M, Morrison Alanna C, Nadkarni Girish N, Nalls Mike A, Noordam Raymond, Preuss Michael, Smith Jennifer A, Trompet Stella, Vissink Petra, Yao Jie, Zhao Wei, Boerwinkle Eric, Goodarzi Mark O, Gudnason Vilmundur, Jukema J Wouter, Kardia Sharon L R, Loos Ruth J F, Liu Ching-Ti, Manning Alisa K, Mook-Kanamori Dennis, Pankow James S, Picavet H Susan J, Sattar Naveed, Simonsick Eleanor M, Verschuren W M Monique, Willems van Dijk Ko, Florez Jose C, Rotter Jerome I, Meigs James B, Dupuis Josée, Udler Miriam S

Аннотация

OBJECTIVE: Type 2 diabetes (T2D) has heterogeneous patient clinical characteristics and outcomes. In previous work, we investigated the genetic basis of this heterogeneity by clustering 94 T2D genetic loci using their associations with 47 diabetes-related traits and identified five clusters, termed β-cell, proinsulin, obesity, lipodystrophy, and liver/lipid. The relationship between these clusters and individual-level metabolic disease outcomes has not been assessed.

RESEARCH DESIGN AND METHODS: Here we constructed individual-level partitioned polygenic scores (pPS) for these five clusters in 12 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank (n = 454,193) and tested for cross-sectional association with T2D-related outcomes, including blood pressure, renal function, insulin use, age at T2D diagnosis, and coronary artery disease (CAD).

RESULTS: Despite all clusters containing T2D risk-increasing alleles, they had differential associations with metabolic outcomes. Increased obesity and lipodystrophy cluster pPS, which had opposite directions of association with measures of adiposity, were both significantly associated with increased blood pressure and hypertension. The lipodystrophy and liver/lipid cluster pPS were each associated with CAD, with increasing and decreasing effects, respectively. An increased liver/lipid cluster pPS was also significantly associated with reduced renal function. The liver/lipid cluster includes known loci linked to liver lipid metabolism (e.g., GCKR, PNPLA3, and TM6SF2), and these findings suggest that cardiovascular disease risk and renal function may be impacted by these loci through their shared disease pathway.

CONCLUSIONS: Our findings support that genetically driven pathways leading to T2D also predispose differentially to clinical outcomes.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты