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. 2023 Nov 2:14:1235337.
doi: 10.3389/fgene.2023.1235337. eCollection 2023.

Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Lisa de las Fuentes #  1   2 Karen L Schwander #  2   3 Michael R Brown #  4 Amy R Bentley #  5 Thomas W Winkler #  6 Yun Ju Sung #  2   7 Patricia B Munroe #  8   9 Clint L Miller #  10   11   12 Hugo Aschard  13   14 Stella Aslibekyan  15 Traci M Bartz  16   17 Lawrence F Bielak  18 Jin Fang Chai  19 Ching-Yu Cheng  20   21 Rajkumar Dorajoo  22 Mary F Feitosa  3 Xiuqing Guo  23 Fernando P Hartwig  24   25 Andrea Horimoto  26 Ivana Kolčić  27   28 Elise Lim  29 Yongmei Liu  30 Alisa K Manning  31   32 Jonathan Marten  33 Solomon K Musani  34 Raymond Noordam  35 Sandosh Padmanabhan  36 Tuomo Rankinen  37 Melissa A Richard  38 Paul M Ridker  39   40 Albert V Smith  41   42 Dina Vojinovic  43   44 Alan B Zonderman  45   46 Maris Alver  47 Mathilde Boissel  48   49 Kaare Christensen  50 Barry I Freedman  51 Chuan Gao  52 Franco Giulianini  39 Sarah E Harris  53   54 Meian He  55 Fang-Chi Hsu  56 Brigitte Kühnel  57   58 Federica Laguzzi  59 Xiaoyin Li  60   61 Leo-Pekka Lyytikäinen  62   63 Ilja M Nolte  64 Alaitz Poveda  65 Rainer Rauramaa  66 Muhammad Riaz  67   68 Antonietta Robino  69 Tamar Sofer  70 Fumihiko Takeuchi  71 Bamidele O Tayo  72 Peter J van der Most  73 Niek Verweij  74 Erin B Ware  75 Stefan Weiss  76   77 Wanqing Wen  78 Lisa R Yanek  79 Yiqiang Zhan  80 Najaf Amin  43 Dan E Arking  81 Christie Ballantyne  82   83 Eric Boerwinkle  4   84 Jennifer A Brody  16 Ulrich Broeckel  85 Archie Campbell  86   87 Mickaël Canouil  48   49 Xiaoran Chai  88 Yii-Der Ida Chen  23 Xu Chen  80 Kumaraswamy Naidu Chitrala  45 Maria Pina Concas  69 Ulf de Faire  59 Renée de Mutsert  89 H Janaka de Silva  90 Paul S de Vries  4 Ahn Do  2   3 Jessica D Faul  75 Virginia Fisher  29 James S Floyd  16 Terrence Forrester  91 Yechiel Friedlander  92 Giorgia Girotto  69 C Charles Gu  2 Göran Hallmans  93 Sami Heikkinen  94 Chew-Kiat Heng  95   96 Georg Homuth  76 Steven Hunt  97   98 M Arfan Ikram  43 David R Jacobs Jr  99 Maryam Kavousi  43 Chiea Chuen Khor  22 Tuomas O Kilpeläinen  100   101 Woon-Puay Koh  102   103 Pirjo Komulainen  66 Carl D Langefeld  56 Jingjing Liang  60 Kiang Liu  104 Jianjun Liu  22 Kurt Lohman  30 Reedik Mägi  47 Ani W Manichaikul  10 Colin A McKenzie  91 Thomas Meitinger  105   106 Yuri Milaneschi  107 Matthias Nauck  77   108 Christopher P Nelson  67   68 Jeffrey R O'Connell  109   110 Nicholette D Palmer  111 Alexandre C Pereira  26 Thomas Perls  112 Annette Peters  58   113 Ozren Polašek  27   28 Olli T Raitakari  114   115   116 Kenneth Rice  17 Treva K Rice  2 Stephen S Rich  10 Charumathi Sabanayagam  20   21 Pamela J Schreiner  99 Xiao-Ou Shu  78 Stephen Sidney  117 Mario Sims  34 Jennifer A Smith  18   75 John M Starr  54   118 Konstantin Strauch  119   120 E Shyong Tai  19   121   122 Kent D Taylor  23 Michael Y Tsai  123 André G Uitterlinden  43   124 Diana van Heemst  35 Melanie Waldenberger  57   58   125 Ya-Xing Wang  126 Wen-Bin Wei  126 Gregory Wilson  127 Deng Xuan  29 Jie Yao  23 Caizheng Yu  55 Jian-Min Yuan  128   129 Wei Zhao  18 Diane M Becker  79 Amélie Bonnefond  48   49   130 Donald W Bowden  111 Richard S Cooper  72 Ian J Deary  53   54 Jasmin Divers  56 Tõnu Esko  47   131 Paul W Franks  65   132   133 Philippe Froguel  48   49   130 Christian Gieger  57   134 Jost B Jonas  126   135   136 Norihiro Kato  71 Timo A Lakka  66   94   137 Karin Leander  59 Terho Lehtimäki  62   63 Patrik K E Magnusson  80 Kari E North  138 Ioanna Ntalla  8   139 Brenda Penninx  107 Nilesh J Samani  67   68 Harold Snieder  64 Beatrice Spedicati  140 Pim van der Harst  141 Henry Völzke  77   142 Lynne E Wagenknecht  56 David R Weir  75 Mary K Wojczynski  3 Tangchun Wu  55 Wei Zheng  78 Xiaofeng Zhu  60 Claude Bouchard  37 Daniel I Chasman  39   40 Michele K Evans  45   143 Ervin R Fox  144 Vilmundur Gudnason  42   145 Caroline Hayward  33 Bernardo L Horta  24 Sharon L R Kardia  18 Jose Eduardo Krieger  26 Dennis O Mook-Kanamori  89   146 Patricia A Peyser  18 Michael M Province  3 Bruce M Psaty  16   147   148 Igor Rudan  149 Xueling Sim  19 Blair H Smith  150 Rob M van Dam  19   151 Cornelia M van Duijn  43   152 Tien Yin Wong  20   21 Donna K Arnett #  153 Dabeeru C Rao #  2 James Gauderman #  154 Ching-Ti Liu #  29 Alanna C Morrison #  4 Jerome I Rotter #  23 Myriam Fornage #  4   38
Affiliations

Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Lisa de las Fuentes et al. Front Genet. .

Abstract

Introduction: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. Methods: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant (p < 5 × 10-8) and suggestive (p < 1 × 10-6) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). Results: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (FOXP1, MBOAT4, SKP2, STIM1, STX4), brain (BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A), and liver (BRI3, FOXP1) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Discussion: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

Keywords: cholesterol; educational attainment; genome-wide association study; lipids; meta-analysis; triglycerides.

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Conflict of interest statement

IN is now employed by Celgene. BMP serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. SA is employed by and holds equity in 23andMe, Inc. Authors BK, MW, and CGa were employed by Helmholtz Zentrum München. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Overview. A two-stage meta-analysis of gene-educational attainment interactions on lipid traits considering two educational attainment (a surrogate for socioeconomic status) was performed. Subsequently, a meta-analysis combining results of Stages 1 and 2 was performed to identify known and novel loci for lipid traits. Identified loci include genes with known or suggested roles in brain, adipose, and liver biology. Functional annotation, expression quantitative trait loci (eQTLs), and potential druggability of targets was explored. In the Manhattan plot, known and novel loci are depicted in gray and red/blue, respectively. GxE, gene-environment interaction; GradCol, graduated college; SES, socioeconomic status; SomeCol, some college.
FIGURE 2
FIGURE 2
Interaction effects of Locus 15 (rs35287906; STIM1) identified through combined Stage 1 and Stage 2 interaction effects with GradCol for LDL in EUR and CPA. Forest plots show β values (95% confidence intervals) and p-values (1 DF) for the rs35287906 × GradCol interaction term in linear regression models of LDL adjusted for age, sex, field center (for multi-center studies), and principal components. Results shown are for each EUR study, as well as the population-specific combined Stage 1 and 2 meta-analysis results. The interaction effect βG Educ corresponds to the difference in genetic effects between higher (βG1 = −5.25 mg/dL per minor allele) and lower education (βG0 = 3.41 mg/dL per minor allele), for a combined interaction effect of −8.66 mg/dL. AF, coded allele frequency; N, sample size.

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