TreeWAS – [Y83] Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.998	0.002	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.992	0.008	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.984	0.016	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.979	0.021	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.977	0.023	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.973	0.027	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.970	0.030	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.970	0.030	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.960	0.040	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.958	0.042	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.954	0.046	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.942	0.058	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.939	0.061	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.920	0.080	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.915	0.085	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.912	0.088	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.910	0.090	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.904	0.096	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.901	0.099	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.894	0.106	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.879	0.121	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.876	0.124	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.870	0.130	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.865	0.135	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.861	0.139	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.834	0.166	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.822	0.178	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.820	0.180	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.819	0.181	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.816	0.184	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.804	0.196	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.801	0.199	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.799	0.201	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.797	0.203	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.785	0.215	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.777	0.223	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.769	0.231	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.762	0.238	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.755	0.245	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.750	0.250	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.743	0.257	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.738	0.262	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.724	0.276	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.721	0.279	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.719	0.281	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.714	0.286	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.702	0.298	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.668	0.332	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.655	0.345	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.654	0.346	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.634	0.366	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.627	0.373	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.613	0.387	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.602	0.398	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.402	0.598
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.592	0.408	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.586	0.414	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.585	0.415	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.585	0.415	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.579	0.421	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.577	0.423	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.571	0.429	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.568	0.432	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.568	0.432	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.563	0.437	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.557	0.443	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.551	0.449	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.550	0.450	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.549	0.451	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.546	0.454	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.545	0.455	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.544	0.456	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.534	0.466	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.494	0.506	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.492	0.508	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.488	0.512	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.485	0.515	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.476	0.524	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.473	0.527	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.472	0.528	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.456	0.544	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.454	0.546	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.443	0.557	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.442	0.558	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.438	0.562	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.437	0.563	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.435	0.565	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.430	0.570	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.427	0.572	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.428	0.572	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.425	0.575	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.420	0.580	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.415	0.585	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.409	0.591	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.402	0.598	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.399	0.601	0.000
rs7694118 lBF = `0.346317` Chr`4` : `134,068,635`	0.000	0.604	0.396
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.385	0.615	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.380	0.620	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.373	0.627	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.361	0.639	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.356	0.644	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.353	0.647	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.353	0.647	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.351	0.649	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.346	0.654	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.340	0.660	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.334	0.666	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.327	0.673	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.318	0.682	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.305	0.695	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.300	0.700	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.293	0.706	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.292	0.708	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.292	0.708	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.290	0.710	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.285	0.715	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.285	0.715	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.284	0.716	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.284	0.716	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.281	0.719	0.000
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.281	0.719	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.275	0.725	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.263	0.737	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.256	0.744	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.255	0.745	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.253	0.747	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.249	0.751	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.249	0.751	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.248	0.752	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.244	0.756	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.241	0.759	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.236	0.764	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.236	0.764	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.234	0.766	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.229	0.771	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.217	0.782	0.001
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.205	0.795	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.200	0.800	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.199	0.801	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.194	0.806	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.193	0.806	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.193	0.807	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.193	0.807	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.191	0.809	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.188	0.812	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.180	0.820	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.179	0.820	0.001
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.177	0.823	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.175	0.825	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.170	0.830	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.164	0.836	0.000
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.164	0.836	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.163	0.837	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.163	0.837	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.157	0.843	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.157	0.843	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.156	0.844	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.149	0.851	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.147	0.853	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.145	0.855	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.144	0.856	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.137	0.863	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.133	0.867	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.132	0.868	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.132	0.868	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.132	0.868	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.871	0.129
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.128	0.872	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.126	0.874	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.126	0.874	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.125	0.875	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.124	0.875	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.123	0.877	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.123	0.877	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.123	0.877	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.123	0.877	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.123	0.877	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.123	0.877	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.123	0.877	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.123	0.877	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.123	0.877	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.123	0.877	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.123	0.877	0.000
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.123	0.877	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.119	0.881	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.114	0.886	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.114	0.886	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.110	0.889	0.001
rs2078362 lBF = `0.296479` Chr`4` : `98,552,759`	0.108	0.892	0.000
rs60217712 lBF = `0.296479` Chr`4` : `98,553,816`	0.108	0.892	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.108	0.892	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.108	0.892	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.107	0.893	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.106	0.893	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.105	0.895	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.103	0.897	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.102	0.898	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.099	0.901	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.098	0.902	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.098	0.902	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.096	0.904	0.000
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rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.001	0.999	0.000
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.001	0.999	0.000
rs117802898 lBF = `0.00025648` Chr`4` : `94,006,769`	0.001	0.999	0.000
rs117932668 lBF = `0.00024182` Chr`4` : `94,015,689`	0.001	0.999	0.000
rs143324395 lBF = `0.00024182` Chr`4` : `94,013,991`	0.001	0.999	0.000
rs191493117 lBF = `0.00021266` Chr`4` : `147,360,131`	0.001	0.999	0.000
rs186873296 lBF = `0.00017005` Chr`4` : `144,702,474`	0.001	0.999	0.000
rs75764011 lBF = `0.00013191` Chr`4` : `149,574,749`	0.001	0.999	0.000
rs9997524 lBF = `0.00016238` Chr`4` : `43,052,186`	0.001	0.999	0.000
rs6832720 lBF = `0.0275606` Chr`4` : `58,148,386`	0.000	0.999	0.001
rs73838658 lBF = `0.00005513` Chr`4` : `105,887,308`	0.001	0.999	0.000
rs115426111 lBF = `0.000012` Chr`4` : `38,161,064`	0.000	0.999	0.001
rs73839334 lBF = `0` Chr`4` : `105,651,538`	0.001	0.999	0.001
rs144575900 lBF = `0` Chr`4` : `58,872,912`	0.001	0.999	0.001
rs190569495 lBF = `0` Chr`4` : `4,657,542`	0.001	0.999	0.001
rs73838634 lBF = `0` Chr`4` : `105,794,045`	0.001	0.999	0.001
rs73838654 lBF = `0` Chr`4` : `105,874,544`	0.001	0.999	0.001
rs73838071 lBF = `0` Chr`4` : `106,196,977`	0.001	0.999	0.001
rs148386737 lBF = `0` Chr`4` : `43,890,440`	0.001	0.999	0.001
rs114120854 lBF = `0` Chr`4` : `67,360,667`	0.001	0.999	0.001
rs1859156 lBF = `0` Chr`4` : `95,834,034`	0.001	0.999	0.001
rs73838646 lBF = `0` Chr`4` : `105,834,498`	0.001	0.999	0.001
rs73836179 lBF = `0` Chr`4` : `105,754,540`	0.001	0.999	0.001
rs73838653 lBF = `0` Chr`4` : `105,871,725`	0.001	0.999	0.001
rs186974661 lBF = `0` Chr`4` : `67,336,420`	0.001	0.999	0.001
rs7665957 lBF = `0` Chr`4` : `12,498,887`	0.001	0.999	0.001
rs73838644 lBF = `0` Chr`4` : `105,825,134`	0.001	0.999	0.001
rs6836944 lBF = `0` Chr`4` : `65,273,840`	0.001	0.999	0.001
rs188160653 lBF = `0` Chr`4` : `89,676,780`	0.001	0.999	0.001
rs145368269 lBF = `0` Chr`4` : `156,887,189`	0.001	0.999	0.001
rs6820368 lBF = `0` Chr`4` : `100,137,494`	0.001	0.999	0.001
rs78736651 lBF = `0` Chr`4` : `105,736,259`	0.001	0.999	0.001
rs73838651 lBF = `0` Chr`4` : `105,867,915`	0.001	0.999	0.001
rs186822321 lBF = `0` Chr`4` : `130,400,775`	0.001	0.999	0.001
rs4693974 lBF = `0` Chr`4` : `89,810,395`	0.001	0.999	0.001
rs188006861 lBF = `0` Chr`4` : `7,850,843`	0.001	0.999	0.001
rs73838638 lBF = `0` Chr`4` : `105,811,700`	0.001	0.999	0.001
rs142846286 lBF = `0` Chr`4` : `38,504,737`	0.001	0.999	0.001
rs908084 lBF = `0` Chr`4` : `183,543,648`	0.001	0.999	0.001
rs182823009 lBF = `0` Chr`4` : `54,939,942`	0.001	0.999	0.001
rs16996151 lBF = `0` Chr`4` : `89,978,800`	0.001	0.999	0.001
rs181310918 lBF = `0` Chr`4` : `105,727,392`	0.001	0.999	0.001
rs61068760 lBF = `0` Chr`4` : `105,851,876`	0.001	0.999	0.001
rs35141484 lBF = `0` Chr`4` : `39,088,341`	0.001	0.999	0.001
rs139070430 lBF = `0` Chr`4` : `62,181,774`	0.001	0.999	0.001
rs184650103 lBF = `0` Chr`4` : `74,850,649`	0.001	0.999	0.001
rs6537275 lBF = `0` Chr`4` : `145,242,662`	0.001	0.999	0.001
rs150450027 lBF = `0` Chr`4` : `14,126,743`	0.001	0.999	0.001
rs115971165 lBF = `0` Chr`4` : `25,640,372`	0.001	0.999	0.001
rs56404102 lBF = `0` Chr`4` : `105,795,516`	0.001	0.999	0.001
rs73838655 lBF = `0` Chr`4` : `105,874,586`	0.001	0.999	0.001
rs142210607 lBF = `0` Chr`4` : `55,751,694`	0.001	0.999	0.001
rs144063842 lBF = `0` Chr`4` : `67,400,255`	0.001	0.999	0.001
rs181995593 lBF = `0` Chr`4` : `21,883,085`	0.001	0.999	0.001
rs73839333 lBF = `0` Chr`4` : `105,648,102`	0.001	0.999	0.001
rs147515761 lBF = `0` Chr`4` : `105,843,919`	0.001	0.999	0.001
rs73838632 lBF = `0` Chr`4` : `105,783,389`	0.001	0.999	0.001
rs56235007 lBF = `0` Chr`4` : `105,873,783`	0.001	0.999	0.001
rs148684605 lBF = `0` Chr`4` : `67,341,625`	0.001	0.999	0.001
rs61095879 lBF = `0` Chr`4` : `105,579,101`	0.001	0.999	0.001
rs192264222 lBF = `0` Chr`4` : `105,825,450`	0.001	0.999	0.001
rs148635969 lBF = `0` Chr`4` : `72,316,967`	0.001	0.999	0.001
rs1812175 lBF = `0` Chr`4` : `145,574,844`	0.001	0.999	0.001
rs73836173 lBF = `0` Chr`4` : `105,749,533`	0.001	0.999	0.001
rs73838652 lBF = `0` Chr`4` : `105,871,450`	0.001	0.999	0.001
rs114681481 lBF = `0` Chr`4` : `67,330,261`	0.001	0.999	0.001
rs191540052 lBF = `0` Chr`4` : `4,887,114`	0.001	0.999	0.001
rs145688504 lBF = `0` Chr`4` : `93,704,690`	0.001	0.999	0.001
rs80127210 lBF = `0` Chr`4` : `36,441,974`	0.001	0.999	0.001
rs73838643 lBF = `0` Chr`4` : `105,822,559`	0.001	0.999	0.001
rs192046469 lBF = `0` Chr`4` : `54,944,743`	0.001	0.999	0.001
rs186699656 lBF = `0` Chr`4` : `147,040,943`	0.001	0.999	0.001
rs77285130 lBF = `0` Chr`4` : `105,729,020`	0.001	0.999	0.001
rs76187983 lBF = `0` Chr`4` : `105,853,122`	0.001	0.999	0.001
rs17643636 lBF = `0` Chr`4` : `122,921,045`	0.001	0.999	0.001
rs1512282 lBF = `0` Chr`4` : `145,431,497`	0.001	0.999	0.001
rs140671052 lBF = `0` Chr`4` : `93,101,088`	0.001	0.999	0.001
rs73838636 lBF = `0` Chr`4` : `105,806,096`	0.001	0.999	0.001
rs74341662 lBF = `0` Chr`4` : `105,879,194`	0.001	0.999	0.001
rs193113980 lBF = `0` Chr`4` : `54,889,383`	0.001	0.999	0.001
rs12510524 lBF = `-0.00000937` Chr`4` : `8,643,085`	0.000	0.999	0.001
rs17031671 lBF = `-0.000013` Chr`4` : `155,389,247`	0.001	0.999	0.000
rs141644443 lBF = `-0.00001439` Chr`4` : `147,976,724`	0.000	0.999	0.001
rs17002342 lBF = `-0.00001526` Chr`4` : `77,955,205`	0.000	0.999	0.001
rs16838131 lBF = `-0.00098846` Chr`4` : `6,058,497`	0.001	0.999	0.000
rs181519890 lBF = `0.0005955` Chr`4` : `87,683,715`	0.001	0.999	0.000
rs77708442 lBF = `-0.00005477` Chr`4` : `153,896,160`	0.001	0.999	0.000
rs28583512 lBF = `6.97733` Chr`4` : `20,124,487`	0.001	0.999	0.000
rs72711240 lBF = `-0.0249757` Chr`4` : `135,695,807`	0.000	0.999	0.001
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.001	0.999	0.000
rs141863958 lBF = `0.0204011` Chr`4` : `21,293,437`	0.001	0.999	0.000
rs115694618 lBF = `0.149902` Chr`4` : `88,076,129`	0.000	0.999	0.001
rs1487630 lBF = `0.688599` Chr`4` : `38,335,823`	0.001	0.999	0.000
rs955943 lBF = `-0.030599` Chr`4` : `16,514,408`	0.001	0.999	0.000
rs17026425 lBF = `0.121231` Chr`4` : `150,672,514`	0.001	0.999	0.000
rs58281712 lBF = `-0.00206534` Chr`4` : `89,810,956`	0.001	0.999	0.000
rs12648534 lBF = `-0.00641821` Chr`4` : `89,799,206`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9563

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2291

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9997

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9997

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9994

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9989

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9980

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9963

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9940

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9904

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9875

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9753

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9700

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9667

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9482

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9362

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9336

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9306

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9282

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9144

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8959

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7908

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7357

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6712

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5205

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3448

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3351

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3213

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2465

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2439

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2320

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2216

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2120

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2042

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1974

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1818

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1767

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1759

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1604

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1574

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1522

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1407

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1218

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1013

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0870

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0775

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0716

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0562

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0538

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0525

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`)