A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

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Název: A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
Autoři: Ramdas, S. Judd, J. Graham, S.E. Kanoni, S. Wang, Y. Surakka, I. Wenz, B. Clarke, S.L. Chesi, A. Wells, A. Bhatti, K.F. Vedantam, S. Winkler, T.W. Locke, A.E. Marouli, E. Zajac, G.J.M. Wu, K.-H.H. Ntalla, I. Hui, Q. Klarin, D. Hilliard, A.T. Wang, Z. Xue, C. Thorleifsson, G. Helgadottir, A. Gudbjartsson, D.F. Holm, H. Olafsson, I. Hwang, M.Y. Han, S. Akiyama, M. Sakaue, S. Terao, C. Kanai, M. Zhou, W. Brumpton, B.M. Rasheed, H. Havulinna, A.S. Veturi, Y. Pacheco, J.A. Rosenthal, E.A. Lingren, T. Feng, Q. Kullo, I.J. Narita, A. Takayama, J. Martin, H.C. Hunt, K.A. Trivedi, B. Haessler, J. Giulianini, F. Bradford, Y. Miller, J.E. Campbell, A. Lin, K. Millwood, I.Y. Rasheed, A. Hindy, G. Faul, J.D. Zhao, W. Weir, D.R. Turman, C. Huang, H. Graff, M. Choudhury, A. Sengupta, D. Mahajan, A. Brown, M.R. Zhang, W. Yu, K. Schmidt, E.M. Pandit, A. Gustafsson, S. Yin, X. Luan, J. Zhao, J.-H. Matsuda, F. Jang, H.-M. Yoon, K. Medina-Gomez, C. Pitsillides, A. Hottenga, J.J. Wood, A.R. Ji, Y. Gao, Z. Haworth, S. Mitchell, R.E. Chai, J.F. Aadahl, M. Bjerregaard, A.A. Yao, J. Manichaikul, A. Lee, W.-J. Hsiung, C.A. Warren, H.R. Ramirez, J. Bork-Jensen, J. Kårhus, L.L. Goel, A. Sabater-Lleal, M. Noordam, R. Mauro, P. Matteo, F. McDaid, A.F. Marques-Vidal, P. Wielscher, M. Trompet, S. Sattar, N. Møllehave, L.T. Munz, M. Zeng, L. Huang, J. Yang, B. Poveda, A. Kurbasic, A. Schönherr, S. Forer, L. Scholz, M. Galesloot, T.E. Bradfield, J.P. Ruotsalainen, S.E. Daw, E.W. Zmuda, J.M. Mitchell, J.S. Fuchsberger, C. Christensen, H. Brody, J.A. Le, P. Feitosa, M.F. Wojczynski, M.K. Hemerich, D. Preuss, M. Mangino, M. Christofidou, P. Verweij, N. Benjamins, J.W. Engmann, J. Noah, T.L. Verma, A. Slieker, R.C. Lo, K.S. Zilhao, N.R. Kleber, M.E. Delgado, G.E. Huo, S. Ikeda, D.D. Iha, H. Yang, J. Liu, J. Demirkan, A. Leonard, H.L. Marten, J. Emmel, C. Schmidt, B. Smyth, L.J. Cañadas-Garre, M. Wang, C. Nakatochi, M. Wong, A. Hutri-Kähönen, N. Sim, X. Xia, R. Huerta-Chagoya, A. Fernandez-Lopez, J.C. Lyssenko, V. Nongmaithem, S.S. Sankareswaran, A. Irvin, M.R. Oldmeadow, C. Kim, H.-N. Ryu, S. Timmers, P.R.H.J. Arbeeva, L. Dorajoo, R. Lange, L.A. Prasad, G. Lorés-Motta, L. Pauper, M. Long, J. Li, X. Theusch, E. Takeuchi, F. Spracklen, C.N. Loukola, A. Bollepalli, S. Warner, S.C. Wang, Y.X. Wei, W.B. Nutile, T. Ruggiero, D. Sung, Y.J. Chen, S. Liu, F. Yang, J. Kentistou, K.A. Banas, B. Morgan, A. Meidtner, K. Bielak, L.F. Smith, J.A. Hebbar, P. Farmaki, A.-E. Hofer, E. Lin, M. Concas, M.P. Vaccargiu, S. van der Most, P.J. Pitkänen, N. Cade, B.E. van der Laan, S.W. Chitrala, K.N. Weiss, S. Bentley, A.R. Doumatey, A.P. Adeyemo, A.A. Lee, J.Y. Petersen, E.R.B. Nielsen, A.A. Choi, H.S. Nethander, M. Freitag-Wolf, S. Southam, L. Rayner, N.W. Wang, C.A. Lin, S.-Y. Wang, J.-S. Couture, C. Lyytikäinen, L.-P. Nikus, K. Cuellar-Partida, G. Vestergaard, H. Hidalgo, B. Giannakopoulou, O. Cai, Q. Obura, M.O. van Setten, J. He, K.Y. Tang, H. Terzikhan, N. Shin, J.H. Jackson, R.D. Reiner, A.P. Martin, L.W. Chen, Z. Li, L. Kawaguchi, T. Thiery, J. Bis, J.C. Launer, L.J. Li, H. Nalls, M.A. Raitakari, O.T. Ichihara, S. Wild, S.H. Nelson, C.P. Campbell, H. Jäger, S. Nabika, T. Al-Mulla, F. Niinikoski, H. Braund, P.S. Kolcic, I. Kovacs, P. Giardoglou, T. Katsuya, T. de Kleijn, D. de Borst, G.J. Kim, E.K. Adams, H.H.H. Ikram, M.A. Zhu, X. Asselbergs, F.W. Kraaijeveld, A.O. Beulens, J.W.J. Shu, X.-O. Rallidis, L.S. Pedersen, O. Hansen, T. Mitchell, P. Hewitt, A.W. Kähönen, M. Pérusse, L. Bouchard, C. Tönjes, A. Ida Chen, Y.-D. Pennell, C.E. Mori, T.A. Lieb, W. Franke, A. Ohlsson, C. Mellström, D. Cho, Y.S. Lee, H. Yuan, J.-M. Koh, W.-P. Rhee, S.Y. Woo, J.-T. Heid, I.M. Stark, K.J. Zimmermann, M.E. Völzke, H. Homuth, G. Evans, M.K. Zonderman, A.B. Polasek, O. Pasterkamp, G. Hoefer, I.E. Redline, S. Pahkala, K. Oldehinkel, A.J. Snieder, H. Biino, G. Schmidt, R. Schmidt, H. Bandinelli, S. Dedoussis, G. Thanaraj, T.A. Peyser, P.A. Kato, N. Schulze, M.B. Girotto, G. Böger, C.A. Jung, B. Joshi, P.K. Bennett, D.A. De Jager, P.L. Lu, X. Mamakou, V. Brown, M. Caulfield, M.J. Munroe, P.B. Guo, X. Ciullo, M. Jonas, J.B. Samani, N.J. Kaprio, J. Pajukanta, P. Tusié-Luna, T. Aguilar-Salinas, C.A. Adair, L.S. Bechayda, S.A. de Silva, H.J. Wickremasinghe, A.R. Krauss, R.M. Wu, J.-Y. Zheng, W. den Hollander, A.I. Bharadwaj, D. Correa, A. Wilson, J.G. Lind, L. Heng, C.-K. Nelson, A.E. Golightly, Y.M. Wilson, J.F. Penninx, B. Kim, H.-L. Attia, J. Scott, R.J. Rao, D.C. Arnett, D.K. Walker, M. Scott, L.J. Koistinen, H.A. Chandak, G.R. Mercader, J.M. Villalpando, C.G. Orozco, L. Fornage, M. Tai, E.S. van Dam, R.M. Lehtimäki, T. Chaturvedi, N. Yokota, M. Liu, J. Reilly, D.F. McKnight, A.J. Kee, F. Jöckel, K.-H. McCarthy, M.I. Palmer, C.N.A. Vitart, V. Hayward, C. Simonsick, E. van Duijn, C.M. Jin, Z.-B. Lu, F. Hishigaki, H. Lin, X. März, W. Gudnason, V. Tardif, J.-C. Lettre, G. t Hart, L.M. Elders, P.J.M. Rader, D.J. Damrauer, S.M. Kumari, M. Kivimaki, M. van der Harst, P. Spector, T.D. Loos, R.J.F. Province, M.A. Parra, E.J. Cruz, M. Psaty, B.M. Brandslund, I. Pramstaller, P.P. Rotimi, C.N. Christensen, K. Ripatti, S. Widén, E. Hakonarson, H. Grant, S.F.A. Kiemeney, L. de Graaf, J. Loeffler, M. Kronenberg, F. Gu, D. Erdmann, J. Schunkert, H. Franks, P.W. Linneberg, A. Jukema, J.W. Khera, A.V. Männikkö, M. Jarvelin, M.-R. Kutalik, Z. Francesco, C. Mook-Kanamori, D.O. Willems van Dijk, K. Watkins, H. Strachan, D.P. Grarup, N. Sever, P. Poulter, N. Huey-Herng Sheu, W. Rotter, J.I. Dantoft, T.M. Karpe, F. Neville, M.J. Timpson, N.J. Cheng, C.-Y. Wong, T.-Y. Khor, C.C. Li, H. Sabanayagam, C. Peters, A. Gieger, C. Hattersley, A.T. Pedersen, N.L. Magnusson, P.K.E. Boomsma, D.I. de Geus, E.J.C. Cupples, L.A. van Meurs, J.B.J. Ikram, A. Ghanbari, M. Gordon-Larsen, P. Huang, W. Kim, Y.J. Tabara, Y. Wareham, N.J. Langenberg, C. Zeggini, E. Tuomilehto, J. Kuusisto, J. Laakso, M. Ingelsson, E. Abecasis, G. Chambers, J.C. Kooner, J.S. de Vries, P.S. Morrison, A.C. Hazelhurst, S. Ramsay, M. North, K.E. Daviglus, M. Kraft, P. Martin, N.G. Whitfield, J.B. Abbas, S. Saleheen, D. Walters, R.G. Holmes, M.V. Black, C. Smith, B.H. Baras, A. Justice, A.E. Buring, J.E. Ridker, P.M. Chasman, D.I. Kooperberg, C. Tamiya, G. Yamamoto, M. van Heel, D.A. Trembath, R.C. Wei, W.-Q. Jarvik, G.P. Namjou, B. Hayes, M.G. Ritchie, M.D. Jousilahti, P. Salomaa, V. Hveem, K. Åsvold, B.O. Kubo, M. Kamatani, Y. Okada, Y. Murakami, Y. Kim, B.-J. Thorsteinsdottir, U. Stefansson, K. Zhang, J. Chen, Y.E. Ho, Y.-L. Lynch, J.A. Tsao, P.S. Chang, K.-M. Cho, K. O'Donnell, C.J. Gaziano, J.M. Wilson, P. Mohlke, K.L. Frayling, T.M. Hirschhorn, J.N. Kathiresan, S. Boehnke, M. Struan Grant Natarajan, P. Sun, Y.V. Morris, A.P. Deloukas, P. Peloso, G. Assimes, T.L. Willer, C.J. Zhu, X. Brown, C.D. Million Veterans Program Global Lipids Genetics Consortium
Informace o vydavateli: 2022.
Rok vydání: 2022
Popis: A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology. © 2022 American Society of Human Genetics
Druh dokumentu: Article
Jazyk: English
Přístupová URL adresa: https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3348024
Přístupové číslo: edsair.od......2127..c9df13d0fa27a2d0b48b1298ef6b46b3
Databáze: OpenAIRE
Popis
Abstrakt:A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology. © 2022 American Society of Human Genetics