TreeWAS – [T85.7] Infection and inflammatory reaction due to other internal prosthetic 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
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.979	0.021	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.977	0.023	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.966	0.034	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.962	0.038	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.951	0.049	0.000
rs2523512 lBF = `33.456` Chr`6` : `31,506,801`	0.949	0.051	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.948	0.052	0.000
rs2516489 lBF = `32.5039` Chr`6` : `31,488,038`	0.948	0.052	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.946	0.054	0.000
rs2516478 lBF = `31.7187` Chr`6` : `31,498,737`	0.943	0.057	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.939	0.061	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.938	0.062	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.933	0.067	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.930	0.070	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.930	0.070	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.929	0.071	0.000
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.928	0.072	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.926	0.074	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.924	0.076	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.924	0.076	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.921	0.079	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.920	0.080	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.920	0.080	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.920	0.080	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.919	0.081	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.918	0.082	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.916	0.084	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.915	0.085	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.914	0.086	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.911	0.089	0.000
rs1870323 lBF = `1.20012` Chr`11` : `86,188,152`	0.000	0.089	0.911
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.910	0.090	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.907	0.093	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.900	0.100	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.899	0.101	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.899	0.101	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.897	0.103	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.893	0.107	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.890	0.110	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.887	0.113	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.886	0.114	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.885	0.115	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.883	0.117	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.880	0.120	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.878	0.122	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.878	0.122	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.876	0.124	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.875	0.125	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.874	0.126	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.873	0.127	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.873	0.127	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.870	0.130	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.869	0.131	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.869	0.131	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.868	0.132	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.867	0.133	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.867	0.133	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.866	0.134	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.865	0.135	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.865	0.135	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.865	0.135	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.863	0.137	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.859	0.141	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.859	0.141	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.858	0.142	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.856	0.144	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.856	0.144	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.855	0.145	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.851	0.149	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.850	0.150	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.850	0.150	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.849	0.151	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.847	0.153	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.847	0.153	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.847	0.153	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.846	0.154	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.842	0.158	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.842	0.158	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.841	0.159	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.840	0.160	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.840	0.160	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.840	0.160	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.839	0.161	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.837	0.163	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.836	0.164	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.835	0.165	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.834	0.166	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.830	0.170	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.830	0.170	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.829	0.171	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.829	0.171	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.829	0.171	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.829	0.171	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.829	0.171	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.828	0.172	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.828	0.172	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.827	0.173	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.825	0.175	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.825	0.175	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.823	0.177	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.823	0.177	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.823	0.177	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.821	0.179	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.819	0.181	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.819	0.181	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.818	0.182	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.817	0.183	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.816	0.184	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.815	0.185	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.815	0.185	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.814	0.186	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.813	0.187	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.813	0.187	0.000
rs906628 lBF = `0.99732` Chr`11` : `134,738,270`	0.812	0.188	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.810	0.190	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.810	0.190	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.808	0.192	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.808	0.192	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.807	0.193	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.807	0.193	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.806	0.194	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.806	0.194	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.806	0.194	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.805	0.195	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.804	0.196	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.804	0.196	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.803	0.197	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.803	0.197	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.802	0.197	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.802	0.198	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.802	0.198	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.801	0.199	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.801	0.199	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.800	0.200	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.798	0.202	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.797	0.203	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.797	0.203	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.796	0.204	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.794	0.206	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.794	0.206	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.794	0.206	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.792	0.208	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.791	0.209	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.791	0.209	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.210	0.790
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.788	0.212	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.788	0.212	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.786	0.214	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.786	0.214	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.786	0.214	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.786	0.214	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.786	0.214	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.785	0.215	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.785	0.215	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.785	0.215	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.784	0.215	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.784	0.216	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.782	0.218	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.782	0.218	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.781	0.219	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.780	0.220	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.778	0.222	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.778	0.222	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.778	0.222	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.776	0.224	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.224	0.776
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.774	0.226	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.773	0.227	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.773	0.227	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.772	0.228	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.770	0.230	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.770	0.230	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.769	0.230	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.769	0.230	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.769	0.231	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.769	0.231	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.767	0.233	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.767	0.233	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.767	0.233	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.766	0.234	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.766	0.234	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.765	0.235	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.765	0.235	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.765	0.235	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.764	0.236	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.764	0.236	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.763	0.237	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.763	0.237	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.763	0.237	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.762	0.238	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.761	0.239	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.761	0.239	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.760	0.240	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.760	0.240	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.760	0.240	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.760	0.240	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.760	0.240	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.760	0.240	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.760	0.240	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.759	0.240	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.759	0.241	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.759	0.241	0.000
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rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.683	0.317	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.683	0.317	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.682	0.318	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.681	0.319	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.680	0.320	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.680	0.320	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.679	0.320	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.679	0.321	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.679	0.321	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.678	0.322	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.678	0.322	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.678	0.322	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.678	0.322	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.678	0.322	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.677	0.323	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.677	0.323	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.677	0.323	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.677	0.323	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.676	0.324	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.676	0.324	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.675	0.325	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.673	0.327	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.672	0.328	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.672	0.328	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.672	0.328	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.672	0.328	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.671	0.329	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.671	0.329	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.671	0.329	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.671	0.329	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.671	0.329	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.670	0.330	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.670	0.330	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.669	0.331	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.669	0.331	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.669	0.331	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.668	0.331	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.667	0.332	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.667	0.333	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.666	0.334	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.665	0.335	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.665	0.335	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.665	0.335	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.664	0.336	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.664	0.336	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.664	0.336	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.663	0.337	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.663	0.337	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.663	0.337	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.663	0.337	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.663	0.337	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.663	0.337	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.663	0.337	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.662	0.338	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.661	0.339	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.661	0.339	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.661	0.339	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.661	0.339	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.660	0.340	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.660	0.340	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.660	0.340	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.660	0.340	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.660	0.340	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.659	0.341	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.659	0.341	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.659	0.341	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.659	0.341	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.659	0.341	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.658	0.341	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.658	0.342	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.658	0.342	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.658	0.342	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.658	0.342	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.658	0.342	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.658	0.342	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.658	0.342	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.658	0.342	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.657	0.343	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.656	0.344	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.656	0.344	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.655	0.345	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.655	0.345	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.655	0.345	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.655	0.345	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.655	0.345	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.655	0.345	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.655	0.345	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.654	0.346	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.654	0.346	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.654	0.346	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.654	0.346	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.654	0.346	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.654	0.346	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.654	0.346	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.654	0.346	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.654	0.346	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.653	0.347	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

0.7758

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4144

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9986

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9985

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9982

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9979

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9957

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9943

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9904

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9850

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9818

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9799

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9697

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9679

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9654

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9601

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9600

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9568

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9483

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9474

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9454

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9450

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9336

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9328

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9263

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9192

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9163

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9112

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9086

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9039

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9034

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9024

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8979

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8923

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8921

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8819

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8802

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8784

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8611

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8463

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8455

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8389

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8301

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8213

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8200

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.8174

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8148

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8146

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7848

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7761

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7742

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7678

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7631

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7485

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7370

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7353

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7281

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7210

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7047

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7042

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6902

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6881

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6658

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6619

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6487

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6393

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6383

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6285

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6093

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6070

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5879

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5840

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5690

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5629

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5547

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5450

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5153

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4984

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4981

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4855

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4800

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4794

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4649

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4378

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4255

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4093

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3919

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3865

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3835

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3664

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3663

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3643

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3238

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3128

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3082

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3015

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2897

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2813

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2778

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2739

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2695

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2616

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2613

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2325

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2171

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2013

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1838

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1814

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1758

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1748

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1706

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1562

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1518

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1508

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1399

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1384

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1314

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1307

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1287

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1244

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1146

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1118

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1111

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1089

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0996

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0932

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0928

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0875

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0839

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0802

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0773

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0751

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0739

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0734

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0711

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0710

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0682

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0585

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0568

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0561

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0552

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0542

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0529

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`)