TreeWAS – [M23.31] Other meniscus derangements (Anterior cruciate ligament or Anterior horn of medial meniscus)

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
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.845	0.155	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.740	0.260	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.725	0.275	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.660	0.340	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.647	0.353	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.633	0.367	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.598	0.402	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.590	0.410	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.585	0.415	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.575	0.424	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.574	0.425	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.565	0.435	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.546	0.454	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.532	0.468	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.530	0.470	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.529	0.471	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.527	0.473	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.522	0.478	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.515	0.485	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.511	0.489	0.000
rs17199964 lBF = `7.22049` Chr`4` : `102,707,791`	0.502	0.498	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.496	0.504	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.492	0.508	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.490	0.510	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.482	0.518	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.478	0.522	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.477	0.523	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.475	0.524	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.474	0.526	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.472	0.528	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.463	0.537	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.461	0.539	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.460	0.539	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.457	0.543	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.445	0.555	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.442	0.558	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.437	0.562	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.435	0.565	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.435	0.565	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.435	0.565	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.434	0.566	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.432	0.568	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.429	0.571	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.428	0.572	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.415	0.585	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.400	0.600	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.389	0.611	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.385	0.615	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.383	0.617	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.376	0.623	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.371	0.629	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.350	0.650	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.346	0.654	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.339	0.661	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.338	0.661	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.338	0.662	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.327	0.672	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.326	0.674	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.321	0.678	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.316	0.684	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.313	0.686	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.688	0.312
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.311	0.689	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.310	0.690	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.307	0.693	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.300	0.699	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.300	0.699	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.291	0.709	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.289	0.711	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.286	0.713	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.283	0.717	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.281	0.719	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.278	0.721	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.277	0.723	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.273	0.727	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.270	0.730	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.269	0.731	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.268	0.732	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.267	0.733	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.266	0.734	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.265	0.735	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.264	0.736	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.263	0.737	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.257	0.742	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.255	0.745	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.252	0.748	0.000
rs2579330 lBF = `0.275472` Chr`4` : `72,126,889`	0.250	0.750	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.243	0.757	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.242	0.758	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.241	0.759	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.236	0.764	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.232	0.768	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.229	0.771	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.224	0.775	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.224	0.776	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.223	0.776	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.222	0.778	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.221	0.779	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.214	0.786	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.213	0.787	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.212	0.788	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.211	0.789	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.208	0.792	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.208	0.792	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.206	0.794	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.205	0.795	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.202	0.798	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.199	0.801	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.199	0.801	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.198	0.802	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.195	0.805	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.192	0.807	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.191	0.808	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.191	0.808	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.191	0.809	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.189	0.810	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.187	0.812	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.183	0.817	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.182	0.817	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.178	0.822	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.175	0.825	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.173	0.827	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.172	0.828	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.170	0.829	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.170	0.830	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.169	0.831	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.168	0.832	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.166	0.834	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.163	0.837	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.163	0.837	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.160	0.840	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.159	0.841	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.158	0.842	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.157	0.842	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.156	0.844	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.153	0.846	0.001
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.153	0.847	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.153	0.847	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.153	0.847	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.153	0.847	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.153	0.847	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.153	0.847	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.153	0.847	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.153	0.847	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.153	0.847	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.153	0.847	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.153	0.847	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.150	0.849	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.149	0.851	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.148	0.852	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.147	0.852	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.146	0.853	0.001
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.144	0.856	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.142	0.857	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.140	0.860	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.138	0.862	0.001
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.138	0.862	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.136	0.864	0.000
rs60217712 lBF = `0.296479` Chr`4` : `98,553,816`	0.133	0.867	0.000
rs2078362 lBF = `0.296479` Chr`4` : `98,552,759`	0.133	0.867	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.132	0.868	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.130	0.869	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.130	0.869	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.130	0.869	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.130	0.870	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.128	0.872	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.127	0.873	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.124	0.876	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.120	0.880	0.001
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.120	0.880	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.118	0.882	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.112	0.888	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.111	0.888	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.110	0.890	0.000
rs17026850 lBF = `0.237653` Chr`4` : `98,550,873`	0.109	0.890	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.109	0.891	0.000
rs78681061 lBF = `0.230505` Chr`4` : `98,545,626`	0.107	0.893	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.103	0.896	0.001
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.104	0.896	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.099	0.901	0.001
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.098	0.902	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.097	0.902	0.001
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.096	0.903	0.001
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.096	0.903	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.097	0.903	0.000
rs17484474 lBF = `0.150019` Chr`4` : `82,126,121`	0.096	0.904	0.000
rs72890876 lBF = `0.195334` Chr`4` : `98,565,579`	0.094	0.906	0.000
rs148460633 lBF = `0.195334` Chr`4` : `98,556,782`	0.094	0.906	0.000
rs1012333 lBF = `0.195334` Chr`4` : `98,562,157`	0.094	0.906	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.094	0.906	0.000
rs902464 lBF = `0.590214` Chr`4` : `155,316,122`	0.000	0.906	0.093
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.093	0.907	0.000
rs7672495 lBF = `0.343551` Chr`4` : `4,992,367`	0.089	0.911	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.089	0.911	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.089	0.911	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.088	0.912	0.000
rs2136082 lBF = `0.181636` Chr`4` : `98,551,993`	0.087	0.912	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.086	0.914	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.086	0.914	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.084	0.916	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.083	0.916	0.001
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.083	0.917	0.000
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rs10015415 lBF = `1.91565` Chr`4` : `89,928,203`	0.000	0.998	0.002
rs1795720 lBF = `1.91334` Chr`4` : `89,929,254`	0.000	0.998	0.002
rs2178586 lBF = `1.91309` Chr`4` : `89,925,320`	0.000	0.998	0.002
rs6852288 lBF = `1.91307` Chr`4` : `89,925,810`	0.000	0.998	0.002
rs6852928 lBF = `1.91248` Chr`4` : `89,926,193`	0.000	0.998	0.002
rs6849143 lBF = `1.9121` Chr`4` : `89,928,489`	0.000	0.998	0.002
rs1708667 lBF = `1.91185` Chr`4` : `89,929,610`	0.000	0.998	0.002
rs1795739 lBF = `1.91092` Chr`4` : `89,930,313`	0.000	0.998	0.002
rs187455071 lBF = `-0.0123179` Chr`4` : `106,805,884`	0.000	0.998	0.002
rs2904259 lBF = `-0.055513` Chr`4` : `89,885,714`	0.001	0.998	0.001
rs72673891 lBF = `-0.0238306` Chr`4` : `106,814,302`	0.000	0.998	0.002
rs2013701 lBF = `-0.0550925` Chr`4` : `89,885,086`	0.001	0.998	0.001
rs346923 lBF = `-0.0605706` Chr`4` : `53,412,129`	0.000	0.998	0.002
rs7671167 lBF = `-0.0532206` Chr`4` : `89,883,979`	0.002	0.998	0.000
rs6449353 lBF = `0.0635743` Chr`4` : `18,033,488`	0.002	0.998	0.000
rs17331332 lBF = `-0.0165546` Chr`4` : `106,808,107`	0.000	0.998	0.002
rs11730660 lBF = `-0.00964963` Chr`4` : `106,800,379`	0.000	0.998	0.002
rs72673888 lBF = `-0.0169597` Chr`4` : `106,808,181`	0.000	0.998	0.002
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.998	0.002
rs185538822 lBF = `-0.0114097` Chr`4` : `106,803,682`	0.000	0.998	0.002
rs151317012 lBF = `-0.015814` Chr`4` : `106,806,194`	0.000	0.998	0.002
rs10007186 lBF = `-0.0734869` Chr`4` : `79,589,045`	0.000	0.998	0.002
rs72673889 lBF = `-0.0134124` Chr`4` : `106,810,547`	0.000	0.998	0.002
rs7682431 lBF = `0.0810085` Chr`4` : `89,765,661`	0.002	0.998	0.000
rs1964516 lBF = `-0.00582168` Chr`4` : `89,875,909`	0.002	0.998	0.000
rs10021465 lBF = `0.118379` Chr`4` : `89,750,361`	0.002	0.998	0.000
rs113082832 lBF = `0.0644437` Chr`4` : `25,443,604`	0.002	0.998	0.000
rs9284954 lBF = `1.46178` Chr`4` : `176,648,332`	0.000	0.998	0.001
rs72671852 lBF = `-0.0326642` Chr`4` : `106,646,349`	0.000	0.998	0.002
rs6830970 lBF = `0.292345` Chr`4` : `89,777,081`	0.002	0.998	0.000
rs28455964 lBF = `0.265806` Chr`4` : `89,770,909`	0.002	0.998	0.000
rs10015037 lBF = `-0.0506077` Chr`4` : `97,882,320`	0.002	0.998	0.000
rs6599389 lBF = `-0.00806278` Chr`4` : `939,113`	0.002	0.998	0.000
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.001	0.998	0.000
rs6830062 lBF = `0.0659888` Chr`4` : `18,017,730`	0.002	0.998	0.000
rs17039065 lBF = `0.0692023` Chr`4` : `109,385,403`	0.002	0.998	0.000
rs17036129 lBF = `-0.0243921` Chr`4` : `106,624,529`	0.000	0.998	0.001
rs11727735 lBF = `-0.02572` Chr`4` : `106,631,870`	0.000	0.998	0.001
rs76419734 lBF = `-0.0258052` Chr`4` : `106,624,285`	0.000	0.998	0.001
rs72671826 lBF = `-0.0258052` Chr`4` : `106,624,502`	0.000	0.998	0.001
rs2677780 lBF = `0.0632711` Chr`4` : `16,022,540`	0.001	0.998	0.000
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.998	0.000
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs1481012 lBF = `25.0033` Chr`4` : `89,039,082`	0.001	0.998	0.000
rs28595532 lBF = `0.35255` Chr`4` : `119,716,950`	0.000	0.998	0.001
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.001	0.999	0.000
rs11248060 lBF = `0.00452447` Chr`4` : `964,359`	0.000	0.999	0.001
rs78647349 lBF = `0.136071` Chr`4` : `5,237,153`	0.000	0.999	0.001
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.999	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.001	0.999	0.000
rs77389579 lBF = `0.0218785` Chr`4` : `143,538,511`	0.001	0.999	0.000
rs6446315 lBF = `0.677623` Chr`4` : `5,035,587`	0.001	0.999	0.000
rs2389202 lBF = `0.0765926` Chr`4` : `117,254,289`	0.000	0.999	0.001
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.001	0.999	0.001
rs61793204 lBF = `-0.0524579` Chr`4` : `31,290,282`	0.001	0.999	0.000
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs12646107 lBF = `-0.0680296` Chr`4` : `174,515,682`	0.001	0.999	0.000
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs17638464 lBF = `-0.0158926` Chr`4` : `162,602,209`	0.000	0.999	0.001
rs13118159 lBF = `-0.0605695` Chr`4` : `1,365,127`	0.000	0.999	0.001
rs6828740 lBF = `0.0298342` Chr`4` : `118,334,619`	0.001	0.999	0.000
rs17834666 lBF = `-0.0254012` Chr`4` : `181,229,200`	0.001	0.999	0.000
rs2048161 lBF = `-0.0360072` Chr`4` : `146,853,165`	0.001	0.999	0.000
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs10026364 lBF = `-0.00359658` Chr`4` : `135,522,740`	0.001	0.999	0.000
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs10516173 lBF = `-0.0912065` Chr`4` : `5,153,145`	0.000	0.999	0.001
rs6812193 lBF = `-0.0963287` Chr`4` : `77,198,986`	0.000	0.999	0.001
rs1380294 lBF = `0.0515609` Chr`4` : `18,024,121`	0.001	0.999	0.000
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.001	0.999	0.000
rs1494950 lBF = `0.0153812` Chr`4` : `14,967,169`	0.001	0.999	0.000
rs13133845 lBF = `0.0140746` Chr`4` : `95,594,616`	0.001	0.999	0.000
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs4276324 lBF = `0.108217` Chr`4` : `185,879,730`	0.000	0.999	0.001
rs2531154 lBF = `0.0783062` Chr`4` : `16,018,324`	0.001	0.999	0.000
rs148915469 lBF = `0.0646552` Chr`4` : `100,395,414`	0.000	0.999	0.001
rs4148155 lBF = `25.1893` Chr`4` : `89,054,667`	0.001	0.999	0.000
rs2736990 lBF = `0.603344` Chr`4` : `90,678,541`	0.000	0.999	0.001
rs75588466 lBF = `0.21892` Chr`4` : `145,410,793`	0.000	0.999	0.001
rs16871289 lBF = `-0.00003337` Chr`4` : `21,511,383`	0.001	0.999	0.000
rs182442984 lBF = `-0.0122007` Chr`4` : `83,093,230`	0.000	0.999	0.001
rs1850744 lBF = `0.208262` Chr`4` : `9,790,712`	0.001	0.999	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.001	0.999	0.000
rs907499 lBF = `0.00137205` Chr`4` : `26,137,019`	0.000	0.999	0.001
rs11933531 lBF = `-0.00348644` Chr`4` : `92,415,529`	0.000	0.999	0.001
rs7685921 lBF = `0.0504748` Chr`4` : `72,028,545`	0.001	0.999	0.000
rs4466078 lBF = `0.00632379` Chr`4` : `40,973,527`	0.000	0.999	0.001
rs7669806 lBF = `0.00025535` Chr`4` : `78,346,377`	0.001	0.999	0.000
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.001	0.999	0.000
rs17218161 lBF = `0.00027201` Chr`4` : `59,213,845`	0.001	0.999	0.000
rs7656730 lBF = `0.0002306` Chr`4` : `40,159,617`	0.001	0.999	0.000
rs1443170 lBF = `0.00019434` Chr`4` : `128,320,908`	0.001	0.999	0.000
rs1868245 lBF = `0.0014785` Chr`4` : `87,848,739`	0.001	0.999	0.001
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs117802898 lBF = `0.00025648` Chr`4` : `94,006,769`	0.001	0.999	0.000
rs143324395 lBF = `0.00024182` Chr`4` : `94,013,991`	0.001	0.999	0.000
rs117932668 lBF = `0.00024182` Chr`4` : `94,015,689`	0.001	0.999	0.000
rs191493117 lBF = `0.00021266` Chr`4` : `147,360,131`	0.001	0.999	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.1992

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9560

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9421

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9302

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9264

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9198

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9105

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9050

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8966

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8923

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8777

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8593

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8534

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8423

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8248

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8148

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8069

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8037

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.7907

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7902

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7709

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7575

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7391

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7345

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.7287

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7204

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7167

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7160

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7158

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7142

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7102

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7072

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7053

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7019

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6907

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6905

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6876

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6805

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6767

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6763

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6734

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6703

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6644

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6383

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6344

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6067

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5899

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5758

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5682

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5379

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5294

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5199

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5050

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4940

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4865

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4412

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4385

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4184

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3948

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3786

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3720

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3653

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3584

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3554

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3458

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3391

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3334

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3228

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3175

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3170

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3118

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3081

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2935

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2914

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2884

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2855

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2686

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2679

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2659

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2616

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2581

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2568

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2545

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2537

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2386

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2372

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2312

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2303

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2225

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2190

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2033

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1983

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1870

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1817

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1814

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1810

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1803

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1767

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1741

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1686

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1599

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1573

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1572

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1569

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1528

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1432

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1410

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1330

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1310

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1224

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1126

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1116

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1032

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0984

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0850

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0819

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0815

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0799

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0788

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0770

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0721

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0698

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0674

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0639

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0639

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0623

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0618

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0613

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0588

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0582

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0550

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0528

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0507

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0506

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`)