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  5. Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

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Article
English
2020

Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

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0 Files

English
2020
Human Genetics and Genomics Advances
Vol 2 (1)
DOI: 10.1016/j.xhgg.2020.100013

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Frits R. Rosendaal
Frits R. Rosendaal

Leiden University

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Daokun Sun
Melissa A. Richard
Solomon K. Musani
+97 more

Abstract

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP, taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from five ancestry groups. In the combined meta-analyses of stages 1 and 2, we identified 59 loci (p value < 5e−8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A and PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5 and CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

How to cite this publication

Daokun Sun, Melissa A. Richard, Solomon K. Musani, Yan V. Sun, Thomas W. Winkler, Karen Schwander, Jin Fang Chai, Xiuqing Guo, Tuomas O. Kilpeläinen, Dina Vojinović, Hugues Aschard, Traci M. Bartz, Lawrence F. Bielak, Michael R. Brown, Kumaraswamy Naidu Chitrala, Fernando Pires Hartwig, Andréa R. V. R. Horimoto, Yongmei Liu, Alisa K. Manning, Raymond Noordam, Albert V. Smith, Sarah E. Harris, Brigitte Kühnel, Leo‐Pekka Lyytikäinen, Ilja M. Nolte, Rainer Rauramaa, Peter J. van der Most, Ying Wang, Erin B. Ware, Stefan Weiß, Wanqing Wen, Lisa R. Yanek, Dan E. Arking, Donna K. Arnett, Ana Barac, Eric Boerwinkle, Ulrich Broeckel, Aravinda Chakravarti, Yii‐Der Ida Chen, L. Adrienne Cupples, Martha L. Davigulus, Lisa de las Fuentes, Renée de Mutsert, Paul S. de Vries, Joseph A. Delaney, Ana V. Diez Roux, Marcus Dörr, Jessica D. Faul, Amanda M. Fretts, Linda C. Gallo, Hans J. Grabe, C. Charles Gu, Tamara B. Harris, Catharina C.A. Hartman, Sami Heikkinen, M. Arfan Ikram, Carmen R. Isasi, W. Craig Johnson, Jost B. Jonas, Robert C. Kaplan, Pirjo Komulainen, José Eduardo Krieger, Daniel Levy, Jianjun Liu, Kurt Lohman, Annemarie I. Luik, Lisa W. Martin, Thomas Meitinger, Yuri Milaneschi, Jeff O’Connell, Walter R. Palmas, Annette Peters, Patricia A. Peyser, Laura Pulkki-Råbäck, Leslie J. Raffel, Alex P. Reiner, Kenneth Rice, Jennifer G. Robinson, Frits R. Rosendaal, Carsten Oliver Schmidt, Pamela J. Schreiner, Lars Schwettmann, James M. Shikany, Xiao‐Ou Shu, Stephen Sidney, Mario Sims, Jennifer A. Smith, Nona Sotoodehnia, Konstantin Strauch, E Shyong Tai, Kent D. Taylor, André G. Uitterlinden, Cornelia M. van Duijn, Mélanie Waldenberger, Hwee Lin Wee, Wenbin Wei, Gregory Wilson, Xuan Deng, Jie Yao, Donglin Zeng (2020). Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits. Human Genetics and Genomics Advances, 2(1), pp. 100013-100013, DOI: 10.1016/j.xhgg.2020.100013.

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Publication Details

Type

Article

Year

2020

Authors

100

Datasets

0

Total Files

0

Language

English

Journal

Human Genetics and Genomics Advances

DOI

10.1016/j.xhgg.2020.100013

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