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.
Original language | English |
---|---|
Article number | 1235337 |
Journal | Frontiers in genetics |
Volume | 14 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- cholesterol
- educational attainment
- genome-wide association study
- lipids
- meta-analysis
- triglycerides
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In: Frontiers in genetics, Vol. 14, 1235337, 2023.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci
AU - de las Fuentes, Lisa
AU - Schwander, Karen L.
AU - Brown, Michael R.
AU - Bentley, Amy R.
AU - Winkler, Thomas W.
AU - Sung, Yun Ju
AU - Munroe, Patricia B.
AU - Miller, Clint L.
AU - Aschard, Hugo
AU - Aslibekyan, Stella
AU - Bartz, Traci M.
AU - Bielak, Lawrence F.
AU - Chai, Jin Fang
AU - Cheng, Ching-Yu
AU - Dorajoo, Rajkumar
AU - Feitosa, Mary F.
AU - Guo, Xiuqing
AU - Hartwig, Fernando P.
AU - Horimoto, Andrea
AU - Kolčić, Ivana
AU - Lim, Elise
AU - Liu, Yongmei
AU - Manning, Alisa K.
AU - Marten, Jonathan
AU - Musani, Solomon K.
AU - Noordam, Raymond
AU - Padmanabhan, Sandosh
AU - Rankinen, Tuomo
AU - Richard, Melissa A.
AU - Ridker, Paul M.
AU - Smith, Albert V.
AU - Vojinovic, Dina
AU - Zonderman, Alan B.
AU - Alver, Maris
AU - Boissel, Mathilde
AU - Christensen, Kaare
AU - Freedman, Barry I.
AU - Gao, Chuan
AU - Giulianini, Franco
AU - Harris, Sarah E.
AU - He, Meian
AU - Hsu, Fang-Chi
AU - Kühnel, Brigitte
AU - Laguzzi, Federica
AU - Li, Xiaoyin
AU - Lyytikäinen, Leo-Pekka
AU - Nolte, Ilja M.
AU - Poveda, Alaitz
AU - Rauramaa, Rainer
AU - Riaz, Muhammad
AU - Robino, Antonietta
AU - Sofer, Tamar
AU - Takeuchi, Fumihiko
AU - Tayo, Bamidele O.
AU - van der Most, Peter J.
AU - Verweij, Niek
AU - Ware, Erin B.
AU - Weiss, Stefan
AU - Wen, Wanqing
AU - Yanek, Lisa R.
AU - Zhan, Yiqiang
AU - Amin, Najaf
AU - Arking, Dan E.
AU - Ballantyne, Christie
AU - Boerwinkle, Eric
AU - Brody, Jennifer A.
AU - Broeckel, Ulrich
AU - Campbell, Archie
AU - Canouil, Mickaël
AU - Chai, Xiaoran
AU - Chen, Yii-Der Ida
AU - Chen, Xu
AU - Chitrala, Kumaraswamy Naidu
AU - Concas, Maria Pina
AU - de Faire, Ulf
AU - de Mutsert, Renée
AU - de Silva, H. Janaka
AU - de Vries, Paul S.
AU - Do, Ahn
AU - Faul, Jessica D.
AU - Fisher, Virginia
AU - Floyd, James S.
AU - Forrester, Terrence
AU - Friedlander, Yechiel
AU - Girotto, Giorgia
AU - Gu, C. Charles
AU - Hallmans, G. ran
AU - Heikkinen, Sami
AU - Heng, Chew-Kiat
AU - Homuth, Georg
AU - Hunt, Steven
AU - Ikram, M. Arfan
AU - Jacobs, David R.
AU - Kavousi, Maryam
AU - Khor, Chiea Chuen
AU - Kilpeläinen, Tuomas O.
AU - Koh, Woon-Puay
AU - Komulainen, Pirjo
AU - Langefeld, Carl D.
AU - Liang, Jingjing
AU - Liu, Kiang
AU - Liu, Jianjun
AU - Lohman, Kurt
AU - Mägi, Reedik
AU - Manichaikul, Ani W.
AU - McKenzie, Colin A.
AU - Meitinger, Thomas
AU - Milaneschi, Yuri
AU - Nauck, Matthias
AU - Nelson, Christopher P.
AU - O’Connell, Jeffrey R.
AU - Palmer, Nicholette D.
AU - Pereira, Alexandre C.
AU - Perls, Thomas
AU - Peters, Annette
AU - Polašek, Ozren
AU - Raitakari, Olli T.
AU - Rice, Kenneth
AU - Rice, Treva K.
AU - Rich, Stephen S.
AU - Sabanayagam, Charumathi
AU - Schreiner, Pamela J.
AU - Shu, Xiao-Ou
AU - Sidney, Stephen
AU - Sims, Mario
AU - Smith, Jennifer A.
AU - Starr, John M.
AU - Strauch, Konstantin
AU - Tai, E. Shyong
AU - Taylor, Kent D.
AU - Tsai, Michael Y.
AU - Uitterlinden, André G.
AU - van Heemst, Diana
AU - Waldenberger, Melanie
AU - Wang, Ya-Xing
AU - Wei, Wen-Bin
AU - Wilson, Gregory
AU - Xuan, Deng
AU - Yao, Jie
AU - Yu, Caizheng
AU - Yuan, Jian-Min
AU - Zhao, Wei
AU - Becker, Diane M.
AU - Bonnefond, Amélie
AU - Bowden, Donald W.
AU - Cooper, Richard S.
AU - Deary, Ian J.
AU - Divers, Jasmin
AU - Esko, T. nu
AU - Franks, Paul W.
AU - Froguel, Philippe
AU - Gieger, Christian
AU - Jonas, Jost B.
AU - Kato, Norihiro
AU - Lakka, Timo A.
AU - Leander, Karin
AU - Lehtimäki, Terho
AU - Magnusson, Patrik K. E.
AU - North, Kari E.
AU - Ntalla, Ioanna
AU - Penninx, Brenda
AU - Samani, Nilesh J.
AU - Snieder, Harold
AU - Spedicati, Beatrice
AU - van der Harst, Pim
AU - Völzke, Henry
AU - Wagenknecht, Lynne E.
AU - Weir, David R.
AU - Wojczynski, Mary K.
AU - Wu, Tangchun
AU - Zheng, Wei
AU - Zhu, Xiaofeng
AU - Bouchard, Claude
AU - Chasman, Daniel I.
AU - Evans, Michele K.
AU - Fox, Ervin R.
AU - Gudnason, Vilmundur
AU - Hayward, Caroline
AU - Horta, Bernardo L.
AU - Kardia, Sharon L. R.
AU - Krieger, Jose Eduardo
AU - Mook-Kanamori, Dennis O.
AU - Peyser, Patricia A.
AU - Province, Michael M.
AU - Psaty, Bruce M.
AU - Rudan, Igor
AU - Sim, Xueling
AU - Smith, Blair H.
AU - van Dam, Rob M.
AU - van Duijn, Cornelia M.
AU - Wong, Tien Yin
AU - Arnett, Donna K.
AU - Rao, Dabeeru C.
AU - Gauderman, James
AU - Liu, Ching-Ti
AU - Morrison, Alanna C.
AU - Rotter, Jerome I.
AU - Fornage, Myriam
N1 - Funding Information: This project was largely supported by two grants from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305 and R01HL156991. This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health (AB). An NHLBI career development award (K25HL121091) enabled YS to play an important role on this project. The full set of study-specific funding sources and acknowledgments appear in the . Funding Information: This project was largely supported by two grants from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305 and R01HL156991. This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health (AB). An NHLBI career development award (K25HL121091) enabled YS to play an important role on this project. The full set of study-specific funding sources and acknowledgments appear in the Supplementary Material. Publisher Copyright: Copyright © 2023 de las Fuentes
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - cholesterol
KW - educational attainment
KW - genome-wide association study
KW - lipids
KW - meta-analysis
KW - triglycerides
UR - http://www.scopus.com/inward/record.url?scp=85177065494&partnerID=8YFLogxK
U2 - https://doi.org/10.3389/fgene.2023.1235337
DO - https://doi.org/10.3389/fgene.2023.1235337
M3 - Article
C2 - 38028628
SN - 1664-8021
VL - 14
JO - Frontiers in genetics
JF - Frontiers in genetics
M1 - 1235337
ER -