TreeWAS – [T85.8] Other complications of internal prosthetic devices, implants and grafts, not elsewhere classified

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
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.992	0.008	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.961	0.039	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.956	0.044	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.945	0.055	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.945	0.055	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.941	0.059	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.938	0.062	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.930	0.070	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.921	0.079	0.000
rs1870323 lBF = `1.20012` Chr`11` : `86,188,152`	0.000	0.083	0.917
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.917	0.083	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.912	0.088	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.911	0.089	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.904	0.096	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.901	0.099	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.899	0.101	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.895	0.105	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.893	0.107	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.889	0.111	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.888	0.112	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.885	0.115	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.883	0.117	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.883	0.117	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.880	0.120	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.880	0.120	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.873	0.127	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.869	0.131	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.869	0.131	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.868	0.132	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.867	0.133	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.864	0.136	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.864	0.136	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.861	0.138	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.861	0.139	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.861	0.139	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.859	0.141	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.859	0.141	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.858	0.142	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.857	0.143	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.856	0.144	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.856	0.144	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.854	0.146	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.853	0.147	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.852	0.148	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.851	0.149	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.851	0.149	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.851	0.149	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.849	0.151	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.847	0.153	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.847	0.153	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.845	0.155	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.842	0.158	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.842	0.158	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.842	0.158	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.842	0.158	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.840	0.160	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.839	0.161	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.839	0.161	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.838	0.162	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.837	0.163	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.836	0.164	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.836	0.164	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.836	0.164	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.835	0.164	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.835	0.165	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.834	0.166	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.834	0.166	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.833	0.167	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.833	0.167	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.830	0.170	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.828	0.172	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.827	0.173	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.826	0.174	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.826	0.174	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.825	0.175	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.825	0.175	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.824	0.176	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.822	0.178	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.821	0.179	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.821	0.179	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.818	0.182	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.817	0.182	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.817	0.183	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.816	0.184	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.815	0.185	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.815	0.185	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.814	0.186	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.813	0.187	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.811	0.189	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.809	0.191	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.809	0.191	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.808	0.192	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.807	0.193	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.807	0.193	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.807	0.193	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.807	0.193	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.805	0.195	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.805	0.195	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.804	0.196	0.000
rs116201121 lBF = `1.88745` Chr`6` : `9,993,737`	0.804	0.196	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.803	0.197	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.803	0.197	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.801	0.199	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.800	0.200	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.800	0.200	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.800	0.200	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.800	0.200	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.797	0.203	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.795	0.205	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.795	0.205	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.795	0.205	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.795	0.205	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.795	0.205	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.795	0.205	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.795	0.205	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.791	0.209	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.791	0.209	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.789	0.210	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.789	0.210	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.789	0.211	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.788	0.212	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.788	0.212	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.786	0.214	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.786	0.214	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.785	0.215	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.785	0.215	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.781	0.219	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.780	0.220	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.779	0.221	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.778	0.222	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.775	0.225	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.775	0.225	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.775	0.225	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.775	0.225	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.774	0.226	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.773	0.227	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.772	0.228	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.772	0.228	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.772	0.228	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.771	0.229	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.771	0.229	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.769	0.231	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.768	0.232	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.768	0.232	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.767	0.232	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.767	0.233	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.767	0.233	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.767	0.233	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.767	0.233	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.766	0.234	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.763	0.237	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.762	0.238	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.762	0.238	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.760	0.240	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.760	0.240	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.760	0.240	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.759	0.241	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.759	0.241	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.759	0.241	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.757	0.243	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.757	0.243	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.756	0.244	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.754	0.246	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.754	0.246	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.754	0.246	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.754	0.246	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.754	0.246	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.754	0.246	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.753	0.247	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.752	0.248	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.750	0.250	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.749	0.251	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.748	0.252	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.748	0.252	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.748	0.252	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.748	0.252	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.748	0.252	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.746	0.253	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.746	0.254	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.746	0.254	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.745	0.255	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.745	0.255	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.745	0.255	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.745	0.255	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.744	0.256	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.743	0.257	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.743	0.257	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.743	0.257	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.743	0.257	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.742	0.258	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.742	0.258	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.742	0.258	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.740	0.259	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.740	0.260	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.739	0.261	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.739	0.261	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.739	0.261	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.738	0.262	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.737	0.263	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.737	0.263	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.736	0.264	0.000
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rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.660	0.340	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.660	0.340	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.660	0.340	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.659	0.340	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.659	0.341	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.659	0.341	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.658	0.342	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.658	0.342	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.658	0.342	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.658	0.342	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.657	0.343	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.657	0.343	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.657	0.343	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.657	0.343	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.656	0.344	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.656	0.344	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.656	0.344	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.656	0.344	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.655	0.345	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.655	0.345	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.655	0.345	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.655	0.345	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.655	0.345	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.654	0.346	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.654	0.346	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.653	0.347	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.653	0.347	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.653	0.347	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.652	0.348	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.652	0.348	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.652	0.348	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.652	0.348	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.652	0.348	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.652	0.348	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.651	0.349	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.651	0.349	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.651	0.349	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.651	0.349	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.651	0.349	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.650	0.350	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.650	0.350	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.650	0.350	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.650	0.350	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.650	0.350	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.650	0.350	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.648	0.352	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.648	0.352	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.648	0.352	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.647	0.353	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.647	0.353	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.646	0.354	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.646	0.354	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.646	0.354	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.646	0.354	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.646	0.354	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.646	0.354	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.645	0.355	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.645	0.355	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.645	0.355	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.644	0.355	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.644	0.355	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.644	0.356	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.644	0.356	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.644	0.356	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.644	0.356	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.643	0.357	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.643	0.357	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.642	0.358	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.642	0.358	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.642	0.358	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.641	0.359	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.641	0.359	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.641	0.359	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.640	0.360	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.640	0.360	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.640	0.360	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.640	0.360	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.640	0.360	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.640	0.360	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.639	0.360	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.639	0.361	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.639	0.361	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.639	0.361	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.638	0.362	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.638	0.362	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.638	0.362	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.638	0.362	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.637	0.363	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.637	0.363	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.637	0.363	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.637	0.363	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.636	0.364	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.636	0.364	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.636	0.364	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.636	0.364	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.635	0.365	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.635	0.365	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.635	0.365	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7061

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6242

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9936

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9880

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9848

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9819

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9814

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9754

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9671

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9594

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9589

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9546

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9521

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9490

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9456

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9315

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9292

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.9214

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9204

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9104

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9083

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9031

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9017

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8964

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8838

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8813

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8792

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8738

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8480

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8376

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8332

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7897

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7847

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7655

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7589

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7464

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7388

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7343

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7192

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7189

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7156

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7147

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7091

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7035

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7019

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6824

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6771

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6723

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6561

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6524

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6482

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6396

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6284

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6203

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5832

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5831

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5791

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5754

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5387

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5386

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5198

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5150

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4967

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4475

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4470

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4384

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4317

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4307

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4194

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4193

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4143

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4031

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3958

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3762

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3733

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3722

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3636

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3377

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3337

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3302

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3255

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3250

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3154

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3041

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3008

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2954

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2940

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2877

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2820

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2782

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2716

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2567

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2495

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2421

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2397

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2228

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1931

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1758

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1710

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1706

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1640

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1626

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1507

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1434

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1382

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1379

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1351

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1306

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1294

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1294

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1284

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1248

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1236

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1233

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1115

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1111

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1067

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1051

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1039

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0979

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0967

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0940

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0929

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0896

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0879

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0875

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0835

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0770

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0703

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0672

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0638

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0624

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0620

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0568

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0562

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0545

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0526

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0519

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0510

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`)