A cross-tissue transcriptome-wide association study identifies novel susceptibility genes for atrial fibrillation

被引:0
作者
Yuan, Yalin [1 ]
Zheng, Xin [1 ]
Zhang, Wenjing [1 ]
Ren, Zhaoyu [1 ]
Liang, Bin [2 ]
机构
[1] Shanxi Med Univ, Taiyuan, Shanxi, Peoples R China
[2] Shanxi Med Univ, Hosp 2, Dept Cardiovasc Med, Wuyi Rd, Taiyuan 030000, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
atrial fibrillation; colocalization; cross-tissue TWAS; Mendelian randomization; UTMOST; RISK PREDICTION; METAANALYSIS; EXPRESSION;
D O I
10.1002/joa3.70097
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundAtrial fibrillation (AF), the most common cardiac arrhythmia, has been linked to numerous loci identified by genome-wide association studies (GWAS). However, the causal genes and underlying mechanisms remain unclear.MethodsWe conducted a cross-tissue transcriptome-wide association studies (TWAS) using the unified test for molecular signatures (UTMOST), integrating genetic data from the FinnGen R11 cohort (287 805 individuals) with gene expression profiles from the genotype-tissue expression (GTEx) project. To enhance reliability, we applied functional summary-based imputation (FUSION), fine-mapping of causal gene sets (FOCUS), and multi-marker analysis of GenoMic annotation (MAGMA) for gene prioritization, followed by Mendelian randomization (MR) and colocalization analyses. GeneMANIA was used to explore gene functions.ResultsBy integrating four TWAS approaches, this study identified five novel susceptibility genes significantly associated with AF risk. MR analysis further revealed that the gene expression levels of FKBP7, CEP68, and CAMK2D were positively associated with AF risk, while SPATS2L exhibited a significant protective effect. Colocalization analysis demonstrated that CEP68 and SPATS2L share causal variants with AF. Through comprehensive evaluation of multidimensional functional annotations and existing biological evidence, this study highlighted SPATS2L and CEP68 as potential functional candidate genes in AF pathogenesis.ConclusionsThis cross-tissue TWAS identified five novel AF susceptibility genes (CAMK2D, SPAST2L, CEP68, FKBP7, and SHRMOO3). Elevated expression of FKBP7, CEP68, and CAMK2D increases AF risk, while SPATS2L showed a protective effect, with colocalization analysis implicating CEP68 and SPATS2L as prioritized candidates. The integration of multi-omics approaches effectively unravels AF's genetic mechanisms.
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页数:12
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共 47 条
[1]   Genetic effects on gene expression across human tissues [J].
Aguet, Francois ;
Brown, Andrew A. ;
Castel, Stephane E. ;
Davis, Joe R. ;
He, Yuan ;
Jo, Brian ;
Mohammadi, Pejman ;
Park, Yoson ;
Parsana, Princy ;
Segre, Ayellet V. ;
Strober, Benjamin J. ;
Zappala, Zachary ;
Cummings, Beryl B. ;
Gelfand, Ellen T. ;
Hadley, Kane ;
Huang, Katherine H. ;
Lek, Monkol ;
Li, Xiao ;
Nedzel, Jared L. ;
Nguyen, Duyen Y. ;
Noble, Michael S. ;
Sullivan, Timothy J. ;
Tukiainen, Taru ;
MacArthur, Daniel G. ;
Getz, Gad ;
Management, Nih Program ;
Addington, Anjene ;
Guan, Ping ;
Koester, Susan ;
Little, A. Roger ;
Lockhart, Nicole C. ;
Moore, Helen M. ;
Rao, Abhi ;
Struewing, Jeffery P. ;
Volpi, Simona ;
Collection, Biospecimen ;
Brigham, Lori E. ;
Hasz, Richard ;
Hunter, Marcus ;
Johns, Christopher ;
Johnson, Mark ;
Kopen, Gene ;
Leinweber, William F. ;
Lonsdale, John T. ;
McDonald, Alisa ;
Mestichelli, Bernadette ;
Myer, Kevin ;
Roe, Bryan ;
Salvatore, Michael ;
Shad, Saboor .
NATURE, 2017, 550 (7675) :204-+
[2]   Isogenic GAA-KO Murine Muscle Cell Lines Mimicking Severe Pompe Mutations as Preclinical Models for the Screening of Potential Gene Therapy Strategies [J].
Aguilar-Gonzalez, Araceli ;
Elias Gonzalez-Correa, Juan ;
Barriocanal-Casado, Eliana ;
Ramos-Hernandez, Iris ;
Lerma-Juarez, Miguel A. ;
Greco, Sara ;
Jose Rodriguez-Sevilla, Juan ;
Javier Molina-Estevez, Francisco ;
Montalvo-Romeral, Valle ;
Ronzitti, Giuseppe ;
Maria Sanchez-Martin, Rosario ;
Martin, Francisco ;
Munoz, Pilar .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (11)
[3]   Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization [J].
Arking, Dan E. ;
Pulit, Sara L. ;
Crotti, Lia ;
Van der Harst, Pim ;
Munroe, Patricia B. ;
Koopmann, Tamara T. ;
Sotoodehnia, Nona ;
Rossin, Elizabeth J. ;
Morley, Michael ;
Wang, Xinchen ;
Johnson, Andrew D. ;
Lundby, Alicia ;
Gudbjartsson, Daniel F. ;
Noseworthy, Peter A. ;
Eijgelsheim, Mark ;
Bradford, Yuki ;
Tarasov, Kirill V. ;
Dorr, Marcus ;
Miiller-Nurasyid, Martina ;
Lahtinen, Annukka M. ;
Nolte, Ilja M. ;
Smith, Albert Vernon ;
Bis, Joshua C. ;
Isaacs, Aaron ;
Newhouse, Stephen J. ;
Evans, Daniel S. ;
Post, Wendy S. ;
Waggott, Daryl ;
Lyytikainen, Leo-Pekka ;
Hicks, Andrew A. ;
Eisele, Lewin ;
Ellinghaus, David ;
Hayward, Caroline ;
Navarro, Pau ;
Ulivi, Sheila ;
Tanaka, Toshiko ;
Tester, David J. ;
Chatel, Stephanie ;
Gustafsson, Stefan ;
Kumari, Meena ;
Morris, Richard W. ;
Naluai, Asa T. ;
Padmanabhan, Sandosh ;
Kluttig, Alexander ;
Strohmer, Bernhard ;
Panayiotou, Andrie G. ;
Torres, Maria ;
Knoflach, Michael ;
Hubacek, Jaroslav A. ;
Slowikowski, Kamil .
NATURE GENETICS, 2014, 46 (08) :826-836
[4]   Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption [J].
Bowden, Jack ;
Del Greco, Fabiola M. ;
Minelli, Cosetta ;
Zhao, Qingyuan ;
Lawlor, Debbie A. ;
Sheehan, Nuala A. ;
Thompson, John ;
Smith, George Davey .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2019, 48 (03) :728-742
[5]   Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders [J].
Byrne, Enda M. ;
Zhu, Zhihong ;
Qi, Ting ;
Skene, Nathan G. ;
Bryois, Julien ;
Pardinas, Antonio F. ;
Stahl, Eli ;
Smoller, Jordan W. ;
Rietschel, Marcella ;
Owen, Michael J. ;
Walters, James T. R. ;
O'Donovan, Michael C. ;
McGrath, John G. ;
Hjerling-Leffler, Jens ;
Sullivan, Patrick F. ;
Goddard, Michael E. ;
Visscher, Peter M. ;
Yang, Jian ;
Wray, Naomi R. .
MOLECULAR PSYCHIATRY, 2021, 26 (06) :2070-2081
[6]   Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk [J].
Choi, Seung Hoan ;
Jurgens, Sean J. ;
Xiao, Ling ;
Hill, Matthew C. ;
Haggerty, Christopher M. ;
Sveinbjornsson, Gardar ;
Morrill, Valerie N. ;
Marston, Nicholas A. ;
Weng, Lu-Chen ;
Pirruccello, James P. ;
Arnar, David O. ;
Gudbjartsson, Daniel Fannar ;
Mantineo, Helene ;
von Falkenhausen, Aenne S. ;
Natale, Andrea ;
Tveit, Arnljot ;
Geelhoed, Bastiaan ;
Roselli, Carolina ;
Van Wagoner, David R. ;
Darbar, Dawood ;
Haase, Doreen ;
Soliman, Elsayed Z. ;
Davogustto, Giovanni E. ;
Jun, Goo ;
Calkins, Hugh ;
Anderson, Jeffrey L. ;
Brody, Jennifer A. ;
Halford, Jennifer L. ;
Barnard, John ;
Hokanson, John E. ;
Smith, Jonathan D. ;
Bis, Joshua C. ;
Young, Kendra ;
Johnson, Linda S. B. ;
Risch, Lorenz ;
Gula, Lorne J. ;
Kwee, Lydia Coulter ;
Chaffin, Mark D. ;
Kuehne, Michael ;
Preuss, Michael ;
Gupta, Namrata ;
Nafissi, Navid A. ;
Smith, Nicholas L. ;
Nilsson, Peter M. ;
van der Harst, Pim ;
Wells, Quinn S. ;
Judy, Renae L. ;
Schnabel, Renate B. ;
Johnson, Renee ;
Smit, Roelof A. J. .
NATURE GENETICS, 2025, :548-562
[7]   Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure [J].
de Leeuw, Christiaan A. ;
Stringer, Sven ;
Dekkers, Ilona A. ;
Heskes, Tom ;
Posthuma, Danielle .
NATURE COMMUNICATIONS, 2018, 9
[8]   The statistical properties of gene-set analysis [J].
de Leeuw, Christiaan A. ;
Neale, Benjamin M. ;
Heskes, Tom ;
Posthuma, Danielle .
NATURE REVIEWS GENETICS, 2016, 17 (06) :353-364
[9]   Global burden of atrial fibrillation/atrial flutter and its attributable risk factors from 1990 to 2019 [J].
Dong, Xin-Jiang ;
Wang, Bei-Bei ;
Hou, Fei-Fei ;
Jiao, Yang ;
Li, Hong-Wei ;
Lv, Shu-Ping ;
Li, Fei-Hong .
EUROPACE, 2023, 25 (03) :793-803
[10]   Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes [J].
Duong, Dat ;
Gai, Lisa ;
Snir, Sagi ;
Kang, Eun Yong ;
Han, Buhm ;
Sul, Jae Hoon ;
Eskin, Eleazar .
BIOINFORMATICS, 2017, 33 (14) :I67-I74