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Publication

Genome-wide association study of long COVID

Authors

  1. Vilma Lammi
  2. Tomoko Nakanishi
  3. Samuel E. Jones
  4. Shea J. Andrews
  5. Juha Karjalainen
  6. Beatriz Cortés
  7. Heath E. O'Brien
  8. Ana Ochoa-Guzman
  9. Brian E. Fulton-Howard
  10. Martin Broberg
  11. Hele H. Haapaniemi
  12. Masahiro Kanai
  13. Matti Pirinen
  14. Axel Schmidt
  15. Ruth E. Mitchell
  16. Abdou Mousas
  17. Massimo Mangino
  18. Alicia Huerta-Chagoya
  19. Nasa Sinnott-Armstrong
  20. Elizabeth T. Cirulli
  21. Marc Vaudel
  22. Alex S.F. Kwong
  23. Amit K. Maiti
  24. Minttu M. Marttila
  25. Daniel C. Posner
  26. Alexis A. Rodriguez
  27. Chiara Batini
  28. Francesca Minnai
  29. Anna Dearman
  30. C.A. Robert Warmerdam
  31. Celia B. Sequeros
  32. Thomas W. Winkler
  33. Daniel M. Jordan
  34. Raimonds Rešcenko
  35. Lorenzo Miano
  36. Jacqueline M. Lane
  37. Ryan K. Chun
  38. Beatriz Guillen-Guio
  39. Olivia C. Leavy
  40. Laura Carvajal-Silva
  41. Kevin Aguilar-Valdés
  42. Erika Frangione
  43. Lindsay Guare
  44. Ekaterina Vergasova
  45. Eirini Marouli
  46. Pasquale Striano
  47. Ummu Afeera Zainulabid
  48. Ashutosh Kumar
  49. Hajar Fauzan Ahmad
  50. Ryuya Edahiro
  51. Shuhei Azekawa
  52. Shiuh-Wen Luoh
  53. Christian Erikstrup
  54. Ole B.V. Pedersen
  55. Jordan Lerner-Ellis
  56. Alicia Colombo
  57. Joseph J. Grzymski
  58. Makoto Ishii
  59. Yukinori Okada
  60. Noam D. Beckmann
  61. Meena Kumari
  62. Ralf Wagner
  63. Iris M. Heid
  64. Catherine John
  65. Patrick J. Short
  66. Per Magnus
  67. Laura Ansone
  68. Luca V.C. Valenti
  69. Sulggi A. Lee
  70. Louise V. Wain
  71. Ricardo A. Verdugo
  72. Karina Banasik
  73. Frank Geller
  74. Lude H. Franke
  75. Alexander Rakitko
  76. Emma L. Duncan
  77. Alessandra Renieri
  78. Konstantinos K. Tsilidis
  79. Rafael de Cid
  80. Ahmadreza Niavarani
  81. Erik Abner
  82. Teresa Tusié-Luna
  83. Shefali S. Verma
  84. George Davey Smith
  85. Nicholas J. Timpson
  86. Ravi K. Madduri
  87. Kelly Cho
  88. Mark J. Daly
  89. Andrea Ganna
  90. Eva C. Schulte
  91. J. Brent Richards
  92. Kerstin U. Ludwig
  93. Michael Marks-Hultström
  94. Hugo Zeberg
  95. Hanna M. Ollila

Summary

Infections can lead to persistent symptoms and diseases such as shingles after varicella zoster or rheumatic fever after streptococcal infections. Similarly, severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection can result in long coronavirus disease (COVID), typically manifesting as fatigue, pulmonary symptoms and cognitive dysfunction. The biological mechanisms behind long COVID remain unclear. We performed a genome-wide association study for long COVID including up to 6,450 long COVID cases and 1,093,995 population controls from 24 studies across 16 countries. We discovered an association of FOXP4 with long COVID, independent of its previously identified association with severe COVID-19. The signal was replicated in 9,500 long COVID cases and 798,835 population controls. Given the transcription factor FOXP4’s role in lung physiology and pathology, our findings highlight the importance of lung function in the pathophysiology of long COVID.

Volume and page numbers

Volume: 57 , p.1402 -1417

Subjects

Notes

Open Access
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/.

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