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Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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Τίτλος: Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Συγγραφείς: Kanoni, Stavroula, Graham, Sarah E., Locke, Adam E., Matteo, F, McDaid, AF, Marques-Vidal, P, Wielscher, M, Trompet, S, Sattar, N, Mollehave, LT, Munz, M, Zeng, L, Huang, J, Marouli, Eirini, Yang, B, Poveda, A, Kurbasic, A, Lamina, C, Forer, L, Scholz, M, Galesloot, TE, Bradfeld, JP, Ruotsalainen, SE, Daw, E, Zajac, Greg J. M., Zmuda, JM, Mitchell, JS, Fuchsberger, C, Christensen, H, Brody, JA, Vazquez-Moreno, M, Feitosa, MF, Wojczynski, MK, Wang, Z, Preuss, MH, Wu, Kuan-Han H., Mangino, M, Christofdou, P, Verweij, N, Benjamins, JW, Engmann, J, Tsao, NL, Verma, A, Slieker, RC, Lo, KS, Zilhao, NR, Ntalla, Ioanna, Le, P, Kleber, ME, Delgado, GE, Huo, S, Ikeda, DD, Iha, H, Yang, J, Liu, J, Leonard, HL, Marten, J, Hui, Qin, Frank, M, Schmidt, B, Smyth, LJ, Canadas-Garre, M, Wang, Carol A., Nakatochi, M, Wong, A, Hutri-Kahonen, N, Sim, X, Xia, R, Klarin, Derek, Huerta-Chagoya, A, Fernandez-Lopez, JC, Lyssenko, V, Nongmaithem, SS, Bayyana, S, Stringham, HM, Irvin, MR, Oldmeadow, C, Kim, H-N, Ryu, S, Hilliard, Austin T., Timmers, PRHJ, Arbeeva, L, Dorajoo, R, Lange, LA, Prasad, G, Lores-Motta, L, Pauper, M, Long, J, Li, X, Theusch, E, Wang, Zeyuan, Takeuchi, F, Spracklen, CN, Loukola, A, Bollepalli, S, Warner, SC, Wang, YX, Wei, WB, Nutile, T, Ruggiero, D, Sung, YJ, Xue, Chao, Chen, S, Liu, F, Kentistou, KA, Banas, B, Nardone, GG, Meidtner, K, Bielak, LF, Smith, JA, Hebbar, P, Wang, Yuxuan, Thorleifsson, Gudmar, Farmaki, A-E, Hofer, E, Lin, M, Concas, MP, Vaccargiu, S, van der Most, PJ, Pitkanen, N, Cade, BE, van der Laan, SW, Chitrala, KN, Helgadottir, A, Weiss, S, Bentley, AR, Doumatey, AP, Adeyemo, AA, Lee, JY, Petersen, ERB, Nielsen, AA, Choi, HS, Nethander, M, Freitag-Wolf, S, Gudbjartsson, DF, Southam, L, Rayner, NW, Wang, CA, Lin, S-Y, Wang, J-S, Couture, C, Lyytikainen, L-P, Nikus, K, Cuellar-Partida, G, Vestergaard, H, Holm, H, Hidalgo, B, Giannakopoulou, O, Cai, Q, Obura, MO, van Setten, J, Liang, J, Tang, H, Terzikhan, N, Shin, JH, Olafsson, I, Jackson, RD, Reiner, AP, Martin, LW, Chen, Z, Li, L, Kawaguchi, T, Thiery, J, Bis, JC, Launer, LJ, Li, H, Hwang, MY, Nalls, MA, Raitakari, OT, Ichihara, S, Wild, SH, Nelson, CP, Campbell, H, Jager, S, Nabika, T, Al-Mulla, F, Niinikoski, H, Han, S, Braund, PS, Kolcic, I, Kovacs, P, Giardoglou, T, Katsuya, T, de Kleijn, D, de Borst, GJ, Kim, EK, Adams, HHH, Ikram, MA, Akiyama, M, Zhu, X, Asselbergs, FW, Kraaijeveld, AO, Beulens, JWJ, Shu, X-O, Rallidis, LS, Pedersen, O, Hansen, T, Mitchell, P, Hewitt, AW, Sakaue, S, Kahonen, M, Perusse, L, Bouchard, C, Tonjes, A, Chen, Y-DI, Pennell, Craig E., Mori, TA, Lieb, W, Franke, A, Ohlsson, C, Terao, C, Mellstrom, D, Cho, YS, Lee, H, Yuan, J-M, Koh, W-P, Rhee, SY, Woo, J-T, Heid, IM, Stark, KJ, Zimmermann, ME, Surakka, Ida, Kanai, M, Volzke, H, Homuth, G, Evans, MK, Zonderman, AB, Polasek, O, Pasterkamp, G, Hoefer, IE, Redline, S, Pahkala, K, Oldehinkel, AJ, Zhou, W, Snieder, H, Biino, G, Schmidt, R, Schmidt, H, Bandinelli, S, Dedoussis, G, Thanaraj, TA, Kardia, SLR, Peyser, PA, Kato, N, Brumpton, BM, Schulze, MB, Girotto, G, Boger, CA, Jung, B, Joshi, PK, Bennett, DA, De Jager, PL, Lu, X, Mamakou, V, Brown, M, Rasheed, H, Caulfeld, MJ, Munroe, PB, Guo, X, Ciullo, M, Jonas, JB, Samani, NJ, Kaprio, J, Pajukanta, P, Tusie-Luna, T, Aguilar-Salinas, CA, Havulinna, AS, Adair, LS, Bechayda, SA, de Silva, HJ, Wickremasinghe, AR, Krauss, RM, Wu, J-Y, Zheng, W, Hollander, AI, Bharadwaj, D, Correa, A, Veturi, Y, Wilson, JG, Lind, L, Heng, C-K, Nelson, AE, Golightly, YM, Wilson, JF, Penninx, B, Kim, H-L, Attia, John, Scott, RJ, Pacheco, JA, Rao, DC, Arnett, DK, Hunt, SC, Walker, M, Koistinen, HA, Chandak, GR, Mercader, JM, Costanzo, MC, Jang, D, Burtt, NP, Rosenthal, EA, Villalpando, CG, Orozco, L, Fornage, M, Tai, E, van Dam, RM, Lehtimaki, T, Chaturvedi, N, Yokota, M, Reilly, DF, Lingren, T, McKnight, AJ, Kee, F, Jockel, K-H, McCarthy, M, Palmer, CNA, Vitart, V, Hayward, C, Simonsick, E, van Duijn, CM, Jin, Z-B, Feng, Q, Qu, J, Hishigaki, H, Lin, X, Marz, W, Gudnason, V, Tardif, J-C, Lettre, G, t Hart, LM, Elders, PJM, Damrauer, SM, Ramdas, Shweta, Kullo, IJ, Kumari, M, Kivimaki, M, van der Harst, P, Spector, TD, Loos, RJF, Province, MA, Parra, EJ, Cruz, M, Psaty, BM, Brandslund, I, Narita, A, Pramstaller, PP, Rotimi, CN, Christensen, K, Ripatti, S, Widen, E, Hakonarson, H, Grant, SFA, Kiemeney, LALM, de Graaf, J, Loefer, M, Takayama, J, Kronenberg, F, Gu, D, Erdmann, J, Schunkert, H, Franks, PW, Linneberg, A, Jukema, JW, Khera, A, Mannikko, M, Jarvelin, M-R, Martin, HC, Kutalik, Z, Francesco, C, Mook-Kanamori, DO, van Dijk, KW, Watkins, H, Strachan, DP, Grarup, N, Sever, P, Poulter, N, Chuang, L-M, Hunt, KA, Rotter, J, Dantoft, TM, Karpe, F, Neville, MJ, Timpson, NJ, Cheng, C-Y, Wong, T-Y, Khor, CC, Sabanayagam, C, Trivedi, B, Peters, A, Gieger, C, Hattersley, AT, Pedersen, NL, Magnusson, PKE, Boomsma, D, Willemsen, AHM, Cupples, L, van Meurs, JBJ, Ghanbari, M, Haessler, J, Gordon-Larsen, P, Huang, W, Kim, YJ, Tabara, Y, Wareham, NJ, Langenberg, C, Zeggini, E, Kuusisto, J, Laakso, M, Ingelsson, E, Giulianini, F, Abecasis, G, Chambers, JC, Kooner, JS, de Vries, PS, Morrison, AC, Hazelhurst, S, Ramsay, M, North, KE, Daviglus, M, Kraft, P, Bradford, Y, Martin, NG, Whitfeld, JB, Abbas, S, Saleheen, D, Walters, RG, Holmes, M, Black, C, Smith, BH, Baras, A, Justice, AE, Miller, JE, Buring, JE, Ridker, PM, Chasman, D, Kooperberg, C, Tamiya, G, Yamamoto, M, van Heel, DA, Trembath, RC, Wei, W-Q, Jarvik, GP, Zhu, Xiang, Campbell, A, Namjou, B, Hayes, MG, Ritchie, MD, Jousilahti, P, Salomaa, V, Hveem, K, Asvold, BO, Kubo, M, Kamatani, Y, Okada, Y, Lin, K, Murakami, Y, Kim, B-J, Thorsteinsdottir, U, Stefansson, K, Zhang, J, Chen, YE, Ho, Y-L, Lynch, JA, Rader, DJ, Tsao, PS, Millwood, IY, Chang, K-M, Cho, K, O'Donnell, CJ, Gaziano, JM, Wilson, PWF, Frayling, TM, Hirschhorn, JN, Kathiresan, S, Mohlke, KL, Sun, Y, Rasheed, A, Morris, AP, Boehnke, M, Brown, CD, Natarajan, P, Deloukas, P, Willer, CJ, Assimes, TL, Peloso, GM, Demirkan, A, Hindy, G, Faul, JD, Zhao, W, Weir, DR, Turman, C, Huang, H, Clarke, Shoa L., Graf, M, Choudhury, A, Sengupta, D, Mahajan, A, Brown, MR, Zhang, W, Yu, K, Schmidt, EM, Pandit, A, Gustafsson, S, Bhatti, Konain Fatima, Yin, X, Luan, J, Zhao, J-H, Matsuda, F, Jang, H-M, Yoon, K, Medina-Gomez, C, Pitsillides, A, Hottenga, JJ, Wood, AR, Vedantam, Sailaja, Ji, Y, Gao, Z, Haworth, S, Yousri, NA, Mitchell, RE, Chai, JF, Aadahl, M, Bjerregaard, AA, Yao, J, Manichaikul, A, Winkler, Thomas W., Hwu, C-M, Hung, Y-J, Warren, HR, Ramirez, J, Bork-Jensen, J, Karhus, LL, Goel, A, Sabater-Lleal, M, Noordam, R, Mauro, P
Συνεισφορές: The University of Newcastle. College of Health, Medicine & Wellbeing, School of Medicine and Public Health
Στοιχεία εκδότη: BioMed Central (BMC)
Έτος έκδοσης: 2022
Συλλογή: NOVA: The University of Newcastle Research Online (Australia)
Θεματικοί όροι: cholesterol, lipids, genetics, genome-wide association study (GWAS), SDG 3, Sustainable Development Goals
Περιγραφή: Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: Genome Biology Vol. 23, no. 268; http://hdl.handle.net/1959.13/1491694; uon:53055
Διαθεσιμότητα: http://hdl.handle.net/1959.13/1491694
Rights: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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  Data: Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
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term="%22Cuellar-Partida%2C+G%22">Cuellar-Partida, G</searchLink><br /><searchLink fieldCode="AR" term="%22Vestergaard%2C+H%22">Vestergaard, H</searchLink><br /><searchLink fieldCode="AR" term="%22Holm%2C+H%22">Holm, H</searchLink><br /><searchLink fieldCode="AR" term="%22Hidalgo%2C+B%22">Hidalgo, B</searchLink><br /><searchLink fieldCode="AR" term="%22Giannakopoulou%2C+O%22">Giannakopoulou, O</searchLink><br /><searchLink fieldCode="AR" term="%22Cai%2C+Q%22">Cai, Q</searchLink><br /><searchLink fieldCode="AR" term="%22Obura%2C+MO%22">Obura, MO</searchLink><br /><searchLink fieldCode="AR" term="%22van+Setten%2C+J%22">van Setten, J</searchLink><br /><searchLink fieldCode="AR" term="%22Liang%2C+J%22">Liang, J</searchLink><br /><searchLink fieldCode="AR" term="%22Tang%2C+H%22">Tang, H</searchLink><br /><searchLink fieldCode="AR" term="%22Terzikhan%2C+N%22">Terzikhan, N</searchLink><br /><searchLink fieldCode="AR" term="%22Shin%2C+JH%22">Shin, JH</searchLink><br /><searchLink 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term="%22Tusie-Luna%2C+T%22">Tusie-Luna, T</searchLink><br /><searchLink fieldCode="AR" term="%22Aguilar-Salinas%2C+CA%22">Aguilar-Salinas, CA</searchLink><br /><searchLink fieldCode="AR" term="%22Havulinna%2C+AS%22">Havulinna, AS</searchLink><br /><searchLink fieldCode="AR" term="%22Adair%2C+LS%22">Adair, LS</searchLink><br /><searchLink fieldCode="AR" term="%22Bechayda%2C+SA%22">Bechayda, SA</searchLink><br /><searchLink fieldCode="AR" term="%22de+Silva%2C+HJ%22">de Silva, HJ</searchLink><br /><searchLink fieldCode="AR" term="%22Wickremasinghe%2C+AR%22">Wickremasinghe, AR</searchLink><br /><searchLink fieldCode="AR" term="%22Krauss%2C+RM%22">Krauss, RM</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+J-Y%22">Wu, J-Y</searchLink><br /><searchLink fieldCode="AR" term="%22Zheng%2C+W%22">Zheng, W</searchLink><br /><searchLink fieldCode="AR" term="%22Hollander%2C+AI%22">Hollander, AI</searchLink><br /><searchLink fieldCode="AR" term="%22Bharadwaj%2C+D%22">Bharadwaj, 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B-J</searchLink><br /><searchLink fieldCode="AR" term="%22Thorsteinsdottir%2C+U%22">Thorsteinsdottir, U</searchLink><br /><searchLink fieldCode="AR" term="%22Stefansson%2C+K%22">Stefansson, K</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+J%22">Zhang, J</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+YE%22">Chen, YE</searchLink><br /><searchLink fieldCode="AR" term="%22Ho%2C+Y-L%22">Ho, Y-L</searchLink><br /><searchLink fieldCode="AR" term="%22Lynch%2C+JA%22">Lynch, JA</searchLink><br /><searchLink fieldCode="AR" term="%22Rader%2C+DJ%22">Rader, DJ</searchLink><br /><searchLink fieldCode="AR" term="%22Tsao%2C+PS%22">Tsao, PS</searchLink><br /><searchLink fieldCode="AR" term="%22Millwood%2C+IY%22">Millwood, IY</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+K-M%22">Chang, K-M</searchLink><br /><searchLink fieldCode="AR" term="%22Cho%2C+K%22">Cho, K</searchLink><br /><searchLink fieldCode="AR" term="%22O'Donnell%2C+CJ%22">O'Donnell, 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P</searchLink><br /><searchLink fieldCode="AR" term="%22Deloukas%2C+P%22">Deloukas, P</searchLink><br /><searchLink fieldCode="AR" term="%22Willer%2C+CJ%22">Willer, CJ</searchLink><br /><searchLink fieldCode="AR" term="%22Assimes%2C+TL%22">Assimes, TL</searchLink><br /><searchLink fieldCode="AR" term="%22Peloso%2C+GM%22">Peloso, GM</searchLink><br /><searchLink fieldCode="AR" term="%22Demirkan%2C+A%22">Demirkan, A</searchLink><br /><searchLink fieldCode="AR" term="%22Hindy%2C+G%22">Hindy, G</searchLink><br /><searchLink fieldCode="AR" term="%22Faul%2C+JD%22">Faul, JD</searchLink><br /><searchLink fieldCode="AR" term="%22Zhao%2C+W%22">Zhao, W</searchLink><br /><searchLink fieldCode="AR" term="%22Weir%2C+DR%22">Weir, DR</searchLink><br /><searchLink fieldCode="AR" term="%22Turman%2C+C%22">Turman, C</searchLink><br /><searchLink fieldCode="AR" term="%22Huang%2C+H%22">Huang, H</searchLink><br /><searchLink fieldCode="AR" term="%22Clarke%2C+Shoa+L%2E%22">Clarke, Shoa L.</searchLink><br 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/><searchLink fieldCode="AR" term="%22Luan%2C+J%22">Luan, J</searchLink><br /><searchLink fieldCode="AR" term="%22Zhao%2C+J-H%22">Zhao, J-H</searchLink><br /><searchLink fieldCode="AR" term="%22Matsuda%2C+F%22">Matsuda, F</searchLink><br /><searchLink fieldCode="AR" term="%22Jang%2C+H-M%22">Jang, H-M</searchLink><br /><searchLink fieldCode="AR" term="%22Yoon%2C+K%22">Yoon, K</searchLink><br /><searchLink fieldCode="AR" term="%22Medina-Gomez%2C+C%22">Medina-Gomez, C</searchLink><br /><searchLink fieldCode="AR" term="%22Pitsillides%2C+A%22">Pitsillides, A</searchLink><br /><searchLink fieldCode="AR" term="%22Hottenga%2C+JJ%22">Hottenga, JJ</searchLink><br /><searchLink fieldCode="AR" term="%22Wood%2C+AR%22">Wood, AR</searchLink><br /><searchLink fieldCode="AR" term="%22Vedantam%2C+Sailaja%22">Vedantam, Sailaja</searchLink><br /><searchLink fieldCode="AR" term="%22Ji%2C+Y%22">Ji, Y</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Z%22">Gao, Z</searchLink><br /><searchLink fieldCode="AR" term="%22Haworth%2C+S%22">Haworth, S</searchLink><br /><searchLink fieldCode="AR" term="%22Yousri%2C+NA%22">Yousri, NA</searchLink><br /><searchLink fieldCode="AR" term="%22Mitchell%2C+RE%22">Mitchell, RE</searchLink><br /><searchLink fieldCode="AR" term="%22Chai%2C+JF%22">Chai, JF</searchLink><br /><searchLink fieldCode="AR" term="%22Aadahl%2C+M%22">Aadahl, M</searchLink><br /><searchLink fieldCode="AR" term="%22Bjerregaard%2C+AA%22">Bjerregaard, AA</searchLink><br /><searchLink fieldCode="AR" term="%22Yao%2C+J%22">Yao, J</searchLink><br /><searchLink fieldCode="AR" term="%22Manichaikul%2C+A%22">Manichaikul, A</searchLink><br /><searchLink fieldCode="AR" term="%22Winkler%2C+Thomas+W%2E%22">Winkler, Thomas W.</searchLink><br /><searchLink fieldCode="AR" term="%22Hwu%2C+C-M%22">Hwu, C-M</searchLink><br /><searchLink fieldCode="AR" term="%22Hung%2C+Y-J%22">Hung, Y-J</searchLink><br /><searchLink fieldCode="AR" term="%22Warren%2C+HR%22">Warren, HR</searchLink><br /><searchLink fieldCode="AR" term="%22Ramirez%2C+J%22">Ramirez, J</searchLink><br /><searchLink fieldCode="AR" term="%22Bork-Jensen%2C+J%22">Bork-Jensen, J</searchLink><br /><searchLink fieldCode="AR" term="%22Karhus%2C+LL%22">Karhus, LL</searchLink><br /><searchLink fieldCode="AR" term="%22Goel%2C+A%22">Goel, A</searchLink><br /><searchLink fieldCode="AR" term="%22Sabater-Lleal%2C+M%22">Sabater-Lleal, M</searchLink><br /><searchLink fieldCode="AR" term="%22Noordam%2C+R%22">Noordam, R</searchLink><br /><searchLink fieldCode="AR" term="%22Mauro%2C+P%22">Mauro, P</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: The University of Newcastle. College of Health, Medicine & Wellbeing, School of Medicine and Public Health
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: BioMed Central (BMC)
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2022
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: NOVA: The University of Newcastle Research Online (Australia)
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22cholesterol%22">cholesterol</searchLink><br /><searchLink fieldCode="DE" term="%22lipids%22">lipids</searchLink><br /><searchLink fieldCode="DE" term="%22genetics%22">genetics</searchLink><br /><searchLink fieldCode="DE" term="%22genome-wide+association+study+%28GWAS%29%22">genome-wide association study (GWAS)</searchLink><br /><searchLink fieldCode="DE" term="%22SDG+3%22">SDG 3</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+Development+Goals%22">Sustainable Development Goals</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: Genome Biology Vol. 23, no. 268; http://hdl.handle.net/1959.13/1491694; uon:53055
– Name: URL
  Label: Availability
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  Data: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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  Data: edsbas.65E0FEF6
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      – Text: English
    Subjects:
      – SubjectFull: cholesterol
        Type: general
      – SubjectFull: lipids
        Type: general
      – SubjectFull: genetics
        Type: general
      – SubjectFull: genome-wide association study (GWAS)
        Type: general
      – SubjectFull: SDG 3
        Type: general
      – SubjectFull: Sustainable Development Goals
        Type: general
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      – TitleFull: Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
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      – PersonEntity:
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