TreeWAS – [I33.0] Acute and subacute infective endocarditis

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
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.867	0.133	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.845	0.155	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.843	0.157	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.842	0.158	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.828	0.172	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.827	0.173	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.822	0.178	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.820	0.180	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.813	0.187	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.811	0.189	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.803	0.197	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.803	0.197	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.801	0.199	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.799	0.201	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.798	0.202	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.797	0.203	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.795	0.205	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.794	0.206	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.790	0.210	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.789	0.211	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.788	0.212	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.784	0.216	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.782	0.218	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.776	0.224	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.775	0.225	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.772	0.228	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.771	0.229	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.769	0.231	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.767	0.233	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.765	0.235	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.765	0.235	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.764	0.236	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.763	0.236	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.763	0.237	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.762	0.237	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.762	0.238	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.761	0.239	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.761	0.239	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.758	0.242	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.757	0.243	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.755	0.245	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.755	0.245	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.755	0.245	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.752	0.248	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.751	0.249	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.750	0.250	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.750	0.250	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.749	0.251	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.747	0.253	0.000
rs294914 lBF = `3.44115` Chr`6` : `159,629,045`	0.000	0.254	0.746
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.744	0.256	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.743	0.256	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.743	0.257	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.742	0.258	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.741	0.259	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.740	0.260	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.739	0.261	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.739	0.261	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.738	0.262	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.737	0.263	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.737	0.263	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.736	0.264	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.734	0.266	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.734	0.266	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.733	0.267	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.732	0.268	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.732	0.268	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.730	0.270	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.730	0.270	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.725	0.275	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.724	0.275	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.724	0.276	0.000
rs77009508 lBF = `13.9319` Chr`6` : `161,004,972`	0.000	0.277	0.723
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.720	0.280	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.720	0.280	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.719	0.281	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.718	0.282	0.000
rs483465 lBF = `19.2338` Chr`3` : `136,047,977`	0.717	0.283	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.715	0.285	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.713	0.287	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.713	0.287	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.709	0.291	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.709	0.291	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.708	0.292	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.707	0.293	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.706	0.294	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.705	0.295	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.704	0.295	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.704	0.296	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.702	0.298	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.701	0.299	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.701	0.299	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.700	0.300	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.699	0.300	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.697	0.303	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.696	0.304	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.696	0.304	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.695	0.304	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.693	0.307	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.693	0.307	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.693	0.307	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.693	0.307	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.692	0.308	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.692	0.308	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.691	0.309	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.691	0.309	0.000
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.309	0.691
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.690	0.310	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.689	0.311	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.689	0.311	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.689	0.311	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.689	0.311	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.689	0.311	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.689	0.311	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.688	0.312	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.687	0.313	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.687	0.313	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.686	0.314	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.686	0.314	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.685	0.315	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.683	0.317	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.683	0.317	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.683	0.317	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.682	0.318	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.682	0.318	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.682	0.318	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.680	0.320	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.680	0.320	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.680	0.320	0.000
rs11577931 lBF = `38.4581` Chr`1` : `109,820,884`	0.000	0.320	0.680
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.680	0.320	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.679	0.321	0.000
rs2936052 lBF = `14.2487` Chr`1` : `222,802,376`	0.000	0.322	0.678
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.678	0.322	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.678	0.322	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.678	0.322	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.677	0.323	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.677	0.323	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.676	0.324	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.675	0.325	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.325	0.675
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.675	0.325	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.675	0.325	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.675	0.325	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.674	0.326	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.673	0.327	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.673	0.327	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.673	0.327	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.672	0.328	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.672	0.328	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.671	0.329	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.671	0.329	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.671	0.329	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.671	0.329	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.670	0.330	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.670	0.330	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.668	0.332	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.667	0.333	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.666	0.334	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.666	0.334	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.334	0.666
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.666	0.334	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.666	0.334	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.666	0.334	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.665	0.334	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.665	0.335	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.665	0.335	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.664	0.336	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.664	0.336	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.663	0.337	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.663	0.337	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.663	0.337	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.663	0.337	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.661	0.339	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.661	0.339	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.661	0.339	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.660	0.340	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.660	0.340	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.660	0.340	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.659	0.341	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.658	0.342	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.657	0.343	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.657	0.343	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.657	0.343	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.657	0.343	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.656	0.344	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.656	0.344	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.655	0.345	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.655	0.345	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.655	0.345	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.653	0.347	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.650	0.350	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.649	0.351	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.649	0.351	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.649	0.351	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.648	0.352	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.648	0.352	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.648	0.352	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.648	0.352	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.647	0.353	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.647	0.353	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.647	0.353	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.647	0.353	0.000
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rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.580	0.420	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.580	0.420	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.580	0.420	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.579	0.420	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.579	0.421	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.579	0.421	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.579	0.421	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.579	0.421	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.578	0.421	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.578	0.422	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.578	0.422	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.578	0.422	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.577	0.423	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.577	0.423	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.577	0.423	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.577	0.423	0.000
rs3213545 lBF = `7.8099` Chr`12` : `121,471,337`	0.576	0.423	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.576	0.424	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.576	0.424	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.576	0.424	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.576	0.424	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.575	0.424	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.575	0.425	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.575	0.425	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.575	0.425	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.575	0.425	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.575	0.425	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.574	0.426	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.574	0.426	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.574	0.426	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.574	0.426	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.574	0.426	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.574	0.426	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.573	0.427	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.573	0.427	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.573	0.427	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.572	0.427	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.572	0.428	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.572	0.428	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.572	0.428	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.572	0.428	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.572	0.428	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.572	0.428	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.572	0.428	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.571	0.429	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.571	0.429	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.571	0.429	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.571	0.429	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.570	0.430	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.570	0.430	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.570	0.430	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.570	0.430	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.569	0.430	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.569	0.430	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.569	0.431	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.568	0.431	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.568	0.432	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.568	0.432	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.568	0.432	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.568	0.432	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.567	0.432	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.567	0.433	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.567	0.433	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.567	0.433	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.567	0.433	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.567	0.433	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.566	0.434	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.566	0.434	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.565	0.435	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.565	0.435	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.565	0.435	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.565	0.435	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.564	0.435	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.564	0.435	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.564	0.436	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.564	0.436	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.564	0.436	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.563	0.437	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.563	0.437	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.562	0.438	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.562	0.438	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.562	0.438	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.561	0.439	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.561	0.439	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.561	0.439	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.560	0.440	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.560	0.440	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.560	0.440	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.559	0.440	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.559	0.441	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.559	0.441	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.559	0.441	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.559	0.441	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.559	0.441	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.441	0.559
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.558	0.442	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.3649

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3546

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3451

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1994

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9919

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9890

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9838

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9808

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9764

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9718

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9609

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9580

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9503

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9460

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9422

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9404

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9364

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9324

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9319

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9309

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9287

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9275

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9260

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9258

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9215

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9198

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9065

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9006

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8905

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8863

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8859

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8790

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8780

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8737

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8717

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8627

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8551

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8516

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8461

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8440

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8389

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8311

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8282

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8266

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8250

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8229

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8175

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8102

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7850

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7786

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7673

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7652

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7632

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7553

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7540

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7454

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7451

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7347

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7257

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7241

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7233

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7120

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7023

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6952

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6857

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6831

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6663

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6648

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6623

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6621

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6594

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6577

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6574

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6543

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6396

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6382

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6275

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6194

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6097

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6067

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5926

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5919

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5857

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5713

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5584

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5561

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5553

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5551

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5536

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5494

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5420

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5374

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5362

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5067

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4916

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4881

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4817

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4810

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4677

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4470

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4343

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4337

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4163

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4152

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4085

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3931

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3830

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3701

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3651

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3609

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3411

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3398

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3103

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2979

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2849

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2730

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2630

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2603

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2498

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2488

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2454

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2381

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2375

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2246

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2244

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2163

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2023

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1963

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1912

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1839

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1831

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1801

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1320

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1303

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1274

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1195

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0921

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0845

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0843

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0788

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0655

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0581

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0507

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`)