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Genome-Wide Analysis in Over 1 Million Individuals of European Ancestry Yields Improved Polygenic Risk Scores for Blood Pressure Traits Publisher Pubmed

Summary: In over 1M people, researchers found 113 new genetic links to blood pressure. Risk scores based on these genes may improve hypertension prediction. #Genomics #HeartHealth

Keaton JM1, 2 ; Kamali Z3, 4 ; Xie T3 ; Vaez A3, 4 ; Williams A1 ; Goleva SB1 ; Ani A3, 4 ; Evangelou E5, 6, 7 ; Hellwege JN8, 9, 10 ; Yengo L11 ; Young WJ12, 13 ; Traylor M12, 14 ; Giri A2, 15 ; Zheng Z11, 16 Show All Authors
Authors
  1. Keaton JM1, 2
  2. Kamali Z3, 4
  3. Xie T3
  4. Vaez A3, 4
  5. Williams A1
  6. Goleva SB1
  7. Ani A3, 4
  8. Evangelou E5, 6, 7
  9. Hellwege JN8, 9, 10
  10. Yengo L11
  11. Young WJ12, 13
  12. Traylor M12, 14
  13. Giri A2, 15
  14. Zheng Z11, 16
  15. Zeng J11
  16. Chasman DI17, 18
  17. Morris AP19
  18. Caulfield MJ12, 20
  19. Hwang SJ21, 22
  20. Kooner JS23
  21. Conen D24
  22. Attia JR25
  23. Morrison AC26
  24. Loos RJF27, 28, 29
  25. Kristiansson K30
  26. Schmidt R31
  27. Hicks AA32, 33
  28. Pramstaller PP32, 33
  29. Nelson CP34, 35
  30. Samani NJ33, 34, 35
  31. Risch L35, 36, 37
  32. Gyllensten U38
  33. Melander O38, 39, 40
  34. Riese H41
  35. Wilson JF42, 43
  36. Campbell H42
  37. Rich SS44
  38. Psaty BM45
  39. Lu Y46
  40. Rotter JI47
  41. Guo X47
  42. Rice KM48
  43. Vollenweider P49
  44. Sundstrom J50, 51
  45. Langenberg C52, 53, 54
  46. Tobin MD55, 56
  47. Giedraitis V57
  48. Luan J52
  49. Tuomilehto J30, 58, 59
  50. Kutalik Z59, 60, 61
  51. Ripatti S61, 62, 63
  52. Salomaa V30
  53. Girotto G64, 65
  54. Trompet S66, 67
  55. Jukema JW67, 68
  56. Van Der Harst P68, 69, 70
  57. Ridker PM17, 18
  58. Giulianini F17
  59. Vitart V43
  60. Goel A71, 72
  61. Watkins H71, 72
  62. Harris SE73
  63. Deary IJ73
  64. Van Der Most PJ3
  65. Oldehinkel AJ74
  66. Keavney BD75, 76
  67. Hayward C43, 77
  68. Campbell A77, 78
  69. Boehnke M79
  70. Scott LJ79
  71. Boutin T43
  72. Mamasoula C80
  73. Jarvelin MR81, 82, 83
  74. Peters A84, 85
  75. Gieger C86
  76. Lakatta EG87
  77. Cucca F88
  78. Hui J89, 90
  79. Knekt P91
  80. Enroth S92
  81. De Borst MH92, 93
  82. Polasek O93, 94, 95
  83. Concas MP65
  84. Catamo E65
  85. Cocca M65
  86. Ligao R96
  87. Hofer E97, 98
  88. Schmidt H99
  89. Spedicati B64
  90. Waldenberger M85, 86, 100
  91. Strachan DP101
  92. Laan M102
  93. Teumer A103, 104
  94. Dorr M104, 105
  95. Gudnason V106, 107
  96. Cook JP108
  97. Ruggiero D109, 110
  98. Kolcic I95, 111
  99. Boerwinkle E26, 112
  100. Traglia M113
  101. Lehtimaki T113, 114, 115
  102. Raitakari OT115, 116, 117
  103. Johnson AD21, 118
  104. Newtoncheh C16, 119
  105. Brown MJ12
  106. Dominiczak AF120
  107. Sever PJ121
  108. Poulter N122
  109. Chambers JC122, 123
  110. Elosua R124, 125, 126
  111. Siscovick D127
  112. Esko T128
  113. Metspalu A128
  114. Strawbridge RJ129, 130, 131
  115. Laakso M132, 133
  116. Hamsten A131
  117. Hottenga JJ134
  118. De Geus E134, 135
  119. Morris AD136, 137
  120. Palmer CNA138
  121. Nolte IM3
  122. Milaneschi Y139
  123. Marten J77
  124. Wright A77
  125. Zeggini E140, 141
  126. Howson JMM14, 142
  127. Odonnell CJ143
  128. Spector T144
  129. Nalls MA145, 146, 147
  130. Simonsick EM148
  131. Liu Y149
  132. Van Duijn CM150
  133. Butterworth AS141, 142, 151, 152, 153, 154
  134. Danesh JN141, 142, 151, 152, 153, 154, 155
  135. Menni C156
  136. Wareham NJ52
  137. Khaw KT157
  138. Sun YV158, 159
  139. Wilson PWF160, 164
  140. Cho K161, 162, 163
  141. Visscher PM11
  142. Denny JC1
  143. Munroe PB12, 20
  144. Warren HR12, 20
  145. Zeggini E140, 141
  146. Ruggiero D109, 110
  147. Levy D21, 117
  148. Edwards TL2
  149. Snieder H3

Source: Nature Genetics Published:2024


Abstract

Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10−8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5–18.2 mmHg, P = 2.22 × 10−126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54–9.70; P = 4.13 × 10−44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781–0.801) to 0.826 (95% CI, 0.817–0.836, ∆AUROC, 0.035, P = 1.98 × 10−34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research. © The Author(s) 2024.
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