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Meta-Analysis
. 2021 Jun;26(6):2111-2125.
doi: 10.1038/s41380-020-0719-3. Epub 2020 May 5.

Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Lisa de las Fuentes  1   2 Yun Ju Sung  3 Raymond Noordam  4 Thomas Winkler  5 Mary F Feitosa  6 Karen Schwander  7 Amy R Bentley  8 Michael R Brown  9 Xiuqing Guo  10 Alisa Manning  11   12 Daniel I Chasman  13   14 Hugues Aschard  15   16 Traci M Bartz  17 Lawrence F Bielak  18 Archie Campbell  19 Ching-Yu Cheng  20   21 Rajkumar Dorajoo  22 Fernando P Hartwig  23   24 A R V R Horimoto  25 Changwei Li  26 Ruifang Li-Gao  27 Yongmei Liu  28 Jonathan Marten  29 Solomon K Musani  30 Ioanna Ntalla  31 Tuomo Rankinen  32 Melissa Richard  33 Xueling Sim  34 Albert V Smith  35   36 Salman M Tajuddin  37 Bamidele O Tayo  38 Dina Vojinovic  39 Helen R Warren  31   40 Deng Xuan  41 Maris Alver  42   43 Mathilde Boissel  44 Jin-Fang Chai  34 Xu Chen  45 Kaare Christensen  46 Jasmin Divers  47 Evangelos Evangelou  48   49 Chuan Gao  50 Giorgia Girotto  51   52 Sarah E Harris  53 Meian He  54 Fang-Chi Hsu  47 Brigitte Kühnel  55   56 Federica Laguzzi  57 Xiaoyin Li  58   59 Leo-Pekka Lyytikäinen  60   61 Ilja M Nolte  62 Alaitz Poveda  63 Rainer Rauramaa  64 Muhammad Riaz  65 Rico Rueedi  66   67 Xiao-Ou Shu  68 Harold Snieder  62 Tamar Sofer  69 Fumihiko Takeuchi  70 Niek Verweij  71 Erin B Ware  72 Stefan Weiss  73   74 Lisa R Yanek  75 Najaf Amin  39 Dan E Arking  76 Donna K Arnett  77 Sven Bergmann  66   67 Eric Boerwinkle  9   78 Jennifer A Brody  79 Ulrich Broeckel  80 Marco Brumat  51 Gregory Burke  81 Claudia P Cabrera  31   40 Mickaël Canouil  44 Miao Li Chee  82 Yii-Der Ida Chen  10 Massimiliano Cocca  52 John Connell  83 H Janaka de Silva  84 Paul S de Vries  9 Gudny Eiriksdottir  36 Jessica D Faul  72 Virginia Fisher  41 Terrence Forrester  85 Ervin F Fox  86 Yechiel Friedlander  87 He Gao  48   88 Bruna Gigante  89   90 Franco Giulianini  91 Chi Charles Gu  7 Dongfeng Gu  92 Tamara B Harris  93 Jiang He  94   95 Sami Heikkinen  96   97 Chew-Kiat Heng  98   99 Steven Hunt  100   101 M Arfan Ikram  39   102 Marguerite R Irvin  103 Mika Kähönen  104   105 Maryam Kavousi  39 Chiea Chuen Khor  22   106 Tuomas O Kilpeläinen  107   108 Woon-Puay Koh  34   109 Pirjo Komulainen  64 Aldi T Kraja  6 J E Krieger  25 Carl D Langefeld  47 Yize Li  7 Jingjing Liang  58 David C M Liewald  53 Ching-Ti Liu  41 Jianjun Liu  22   34 Kurt K Lohman  110 Reedik Mägi  42 Colin A McKenzie  85 Thomas Meitinger  111   112 Andres Metspalu  42   43 Yuri Milaneschi  113 Lili Milani  42 Dennis O Mook-Kanamori  27   114 Mike A Nalls  115   116 Christopher P Nelson  117   118 Jill M Norris  119 Jeff O'Connell  120   121 Adesola Ogunniyi  122 Sandosh Padmanabhan  123 Nicholette D Palmer  124 Nancy L Pedersen  45 Thomas Perls  125 Annette Peters  56   126 Astrid Petersmann  127 Patricia A Peyser  18 Ozren Polasek  128   129   130 David J Porteous  19   53 Leslie J Raffel  131 Treva K Rice  7 Jerome I Rotter  10 Igor Rudan  132 Oscar-Leonel Rueda-Ochoa  39 Charumathi Sabanayagam  20   21 Babatunde L Salako  122 Pamela J Schreiner  133 James M Shikany  134 Stephen S Sidney  135 Mario Sims  30 Colleen M Sitlani  79 Jennifer A Smith  18   72 John M Starr  136   137 Konstantin Strauch  138   139 Morris A Swertz  140 Alexander Teumer  74   141 Yih Chung Tham  20 André G Uitterlinden  39   142 Dhananjay Vaidya  75 M Yldau van der Ende  71 Melanie Waldenberger  55   56   126 Lihua Wang  6 Ya-Xing Wang  143 Wen-Bin Wei  144 David R Weir  72 Wanqing Wen  68 Jie Yao  10 Bing Yu  9 Caizheng Yu  54 Jian-Min Yuan  145   146 Wei Zhao  18 Alan B Zonderman  147 Diane M Becker  75 Donald W Bowden  124 Ian J Deary  53 Marcus Dörr  74   148 Tõnu Esko  42   149 Barry I Freedman  150 Philippe Froguel  44   151 Paolo Gasparini  51   52 Christian Gieger  55   152 Jost Bruno Jonas  153   154 Candace M Kammerer  155 Norihiro Kato  70 Timo A Lakka  64   96   156 Karin Leander  57 Terho Lehtimäki  60   61 Lifelines Cohort StudyPatrik K E Magnusson  45 Pedro Marques-Vidal  157 Brenda W J H Penninx  113 Nilesh J Samani  117   118 Pim van der Harst  71   158 Lynne E Wagenknecht  81 Tangchun Wu  54 Wei Zheng  68 Xiaofeng Zhu  58 Claude Bouchard  32 Richard S Cooper  38 Adolfo Correa  30 Michele K Evans  37 Vilmundur Gudnason  36   159 Caroline Hayward  29 Bernardo L Horta  23 Tanika N Kelly  94 Stephen B Kritchevsky  160 Daniel Levy  161   162 Walter R Palmas  163 A C Pereira  25 Michael M Province  6 Bruce M Psaty  164   165 Paul M Ridker  14   91 Charles N Rotimi  8 E Shyong Tai  34   109   166 Rob M van Dam  34   166 Cornelia M van Duijn  39   167 Tien Yin Wong  20   21 Kenneth Rice  168 W James Gauderman  169 Alanna C Morrison  9 Kari E North  170 Sharon L R Kardia  18 Mark J Caulfield  31   40 Paul Elliott  48   88 Patricia B Munroe  31   40 Paul W Franks  63   171 Dabeeru C Rao  7 Myriam Fornage  33
Affiliations
Meta-Analysis

Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Lisa de las Fuentes et al. Mol Psychiatry. 2021 Jun.

Abstract

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10-8). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.

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Conflict of interest statement

Conflict of Interest

The authors declare no conflict of interests.

Figures

Figure 1.
Figure 1.
Study design with summary of data included in this study. Educ: education status (considering either SomeCol or GradCol status separately); PC: principal component; EUR: European; AFR: African; ASN: Asian; HIS: Hispanic; BRZ: Brazilian; SNV: single nucleotide variant; TRANS; trans-ancestry (i.e., combining all ancestry groups through meta-analysis).
Figure 2:
Figure 2:. LocusZoom plots for 2 BP loci related to CNS-adrenal signaling
(A) MAP-associated locus adjacent to ZDHHC17, identified in AFR and in trans-ancestry, shows roles in CNS-adrenal signaling. In neurons, ZDHHC17 encodes a membrane protein that mediates fusion of synaptic vesicles to the plasma membrane, enabling the release of neurotransmitters. Murine zdhhc17 knockout models show impaired hippocampal memory and reduced synaptic plasticity, providing potential biological links to working memory and subsequent educational attainment. (B)A locus intragenic to CADPS, identified in AFR, is of potential biologic relevance given this gene’s expression in CNS tissue and role in regulating the fusion of neuroendocrine vesicles and release of vasoactive catecholamines from both adrenal and neural tissue. Three LD SNVs have CADD scores >10, and four LD SNVs have ChromHMM state signals consistent with strong evidence of transcription regulation. SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; PP, pulse pressure. The plots were created using LocusZoom (http://locuszoom.sph.umich.edu/).

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