TreeWAS – [T82.7] Infection and inflammatory reaction due to other cardiac and vascular devices, implants and grafts

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.988	0.012	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.983	0.017	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.981	0.019	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.979	0.021	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.979	0.021	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.976	0.024	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.975	0.025	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.971	0.029	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.970	0.030	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.966	0.034	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.966	0.034	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.965	0.035	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.964	0.036	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.962	0.038	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.957	0.043	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.957	0.043	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.957	0.043	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.955	0.045	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.955	0.045	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.954	0.046	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.953	0.047	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.951	0.049	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.951	0.049	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.950	0.050	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.950	0.050	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.946	0.054	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.945	0.055	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.943	0.057	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.942	0.058	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.942	0.058	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.941	0.059	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.941	0.059	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.937	0.063	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.936	0.064	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.935	0.065	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.935	0.065	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.934	0.066	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.933	0.067	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.932	0.068	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.932	0.068	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.932	0.068	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.931	0.069	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.929	0.071	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.929	0.071	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.928	0.072	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.928	0.072	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.927	0.073	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.927	0.073	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.926	0.074	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.926	0.074	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.923	0.077	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.923	0.077	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.921	0.079	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.921	0.079	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.921	0.079	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.921	0.079	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.920	0.080	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.919	0.081	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.919	0.081	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.918	0.082	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.917	0.083	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.917	0.083	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.915	0.085	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.914	0.086	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.913	0.087	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.913	0.087	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.913	0.087	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.913	0.087	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.911	0.089	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.910	0.090	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.908	0.092	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.908	0.092	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.905	0.095	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.904	0.096	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.904	0.096	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.903	0.097	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.900	0.100	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.900	0.100	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.899	0.101	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.899	0.101	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.898	0.102	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.897	0.103	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.896	0.104	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.896	0.104	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.896	0.104	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.895	0.105	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.895	0.105	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.894	0.106	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.893	0.107	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.890	0.110	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.889	0.111	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.889	0.111	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.888	0.112	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.888	0.112	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.887	0.113	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.887	0.113	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.885	0.115	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.883	0.117	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.883	0.117	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.883	0.117	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.882	0.118	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.882	0.118	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.882	0.118	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.881	0.119	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.881	0.119	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.880	0.120	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.879	0.121	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.878	0.122	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.877	0.123	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.877	0.123	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.877	0.123	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.877	0.123	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.876	0.124	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.876	0.124	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.874	0.126	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.874	0.126	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.874	0.126	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.873	0.126	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.873	0.127	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.873	0.127	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.872	0.128	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.872	0.128	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.871	0.129	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.870	0.130	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.870	0.130	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.870	0.130	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.869	0.131	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.869	0.131	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.868	0.132	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.867	0.133	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.867	0.133	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.866	0.134	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.865	0.135	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.865	0.135	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.865	0.135	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.865	0.135	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.864	0.136	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.864	0.136	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.863	0.137	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.862	0.138	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.862	0.138	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.861	0.139	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.861	0.139	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.860	0.140	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.858	0.142	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.858	0.142	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.858	0.142	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.143	0.857
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.856	0.144	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.855	0.145	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.855	0.145	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.855	0.145	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.855	0.145	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.854	0.146	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.853	0.147	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.853	0.147	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.853	0.147	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.852	0.148	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.852	0.148	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.851	0.149	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.851	0.149	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.849	0.151	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.849	0.151	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.849	0.151	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.849	0.151	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.848	0.152	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.848	0.152	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.847	0.153	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.847	0.153	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.847	0.153	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.846	0.154	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.846	0.154	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.845	0.155	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.845	0.155	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.844	0.156	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.844	0.156	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.844	0.156	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.844	0.156	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.843	0.157	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.842	0.158	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.841	0.159	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.841	0.159	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.841	0.159	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.840	0.160	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.840	0.160	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.840	0.160	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.840	0.160	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.838	0.162	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.838	0.162	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.838	0.162	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.836	0.164	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.835	0.165	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.835	0.165	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.835	0.165	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.835	0.165	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.834	0.166	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.834	0.166	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.834	0.166	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.834	0.166	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.833	0.167	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.833	0.167	0.000
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rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.736	0.264	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.736	0.264	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.736	0.264	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.735	0.265	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.734	0.266	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.734	0.266	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.734	0.266	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.734	0.266	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.734	0.266	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.733	0.266	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.733	0.267	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.733	0.267	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.733	0.267	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.733	0.267	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.732	0.267	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.732	0.268	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.732	0.268	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.731	0.268	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.731	0.268	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.731	0.269	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.731	0.269	0.000
rs185934952 lBF = `1.00439` Chr`3` : `6,811,321`	0.731	0.269	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.731	0.269	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.731	0.269	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.730	0.270	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.729	0.271	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.729	0.271	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.729	0.271	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.728	0.272	0.000
rs4378452 lBF = `20.7259` Chr`12` : `111,504,033`	0.728	0.272	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.728	0.272	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.728	0.272	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.727	0.273	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.727	0.273	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.727	0.273	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.726	0.274	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.726	0.274	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.726	0.274	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.725	0.275	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.725	0.275	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.725	0.275	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.724	0.276	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.724	0.276	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.723	0.276	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.723	0.276	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.723	0.277	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.723	0.277	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.723	0.277	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.721	0.279	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.721	0.279	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.721	0.279	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.721	0.279	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.720	0.280	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.720	0.280	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.720	0.280	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.719	0.281	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.719	0.281	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.718	0.282	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.718	0.282	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.718	0.282	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.717	0.283	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.717	0.283	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.717	0.283	0.000
rs187478995 lBF = `0.685641` Chr`11` : `23,434,935`	0.717	0.283	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.717	0.283	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.716	0.284	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.716	0.284	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.716	0.284	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.715	0.285	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.715	0.285	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.715	0.285	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.714	0.286	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.714	0.286	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.713	0.287	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.713	0.287	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.713	0.287	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.713	0.287	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.713	0.287	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.712	0.288	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.712	0.288	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.711	0.288	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.711	0.289	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.711	0.289	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.711	0.289	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.711	0.289	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.710	0.290	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.710	0.290	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.710	0.290	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.710	0.290	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.710	0.290	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.709	0.291	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.709	0.291	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.709	0.291	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.709	0.291	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.709	0.291	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.708	0.292	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.708	0.292	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.708	0.292	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8568

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6027

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

1.0000

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

1.0000

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9999

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9998

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9997

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9987

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9986

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9981

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9979

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9973

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9968

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9967

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9966

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9964

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9960

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9948

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9948

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9947

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9934

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9934

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9921

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9911

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9887

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9879

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9865

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9849

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9828

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9806

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9789

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9781

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9751

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9736

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9696

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9693

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9620

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9616

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9610

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9578

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9477

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9432

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9410

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9398

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9339

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9314

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9305

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9254

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9224

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9189

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9164

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9091

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8993

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8944

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8916

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8859

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8821

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8692

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8691

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8602

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.8562

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8431

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8378

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8237

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8202

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8159

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8003

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7941

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7844

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7829

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7783

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7776

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7662

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7435

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7309

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7190

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6981

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6900

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6715

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6611

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6586

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6325

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6273

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5884

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5745

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5684

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5644

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5580

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5545

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5539

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5510

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5478

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5384

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5308

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5203

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5199

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5179

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5151

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5098

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4679

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4603

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4508

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4383

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4125

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4016

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3967

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3848

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3418

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3281

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2881

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2802

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2332

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2212

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2208

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2141

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2118

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2071

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2069

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1997

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1880

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1775

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1728

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1531

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1363

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1302

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1178

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1132

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1115

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1092

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1083

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1050

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1001

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0901

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0883

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0881

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0810

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0713

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0670

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0664

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0652

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0649

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0635

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0583

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0523

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)