TreeWAS – [K46.1] Unspecified abdominal hernia with gangrene

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
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.514	0.486	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.508	0.492	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.508	0.492	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.503	0.497	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.480	0.520	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.458	0.542	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.449	0.550	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.399	0.601	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.393	0.607	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.390	0.609	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.370	0.629	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.368	0.632	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.360	0.640	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.349	0.651	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.346	0.653	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.337	0.663	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.336	0.664	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.321	0.679	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.317	0.683	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.317	0.683	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.306	0.693	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.305	0.695	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.295	0.705	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.292	0.708	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.277	0.723	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.270	0.729	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.242	0.758	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.237	0.763	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.232	0.768	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.217	0.783	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.211	0.789	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.210	0.790	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.184	0.816	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.183	0.817	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.179	0.821	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.175	0.825	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.173	0.827	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.172	0.828	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.171	0.829	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.170	0.829	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.170	0.830	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.168	0.832	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.167	0.833	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.161	0.838	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.157	0.843	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.156	0.844	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.152	0.847	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.149	0.851	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.146	0.853	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.141	0.858	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.141	0.859	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.140	0.860	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.140	0.860	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.139	0.861	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.135	0.865	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.135	0.865	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.134	0.865	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.129	0.871	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.127	0.872	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.127	0.872	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.127	0.873	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.126	0.874	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.122	0.878	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.121	0.879	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.118	0.882	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.111	0.889	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.107	0.893	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.103	0.897	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.102	0.898	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.100	0.900	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.096	0.904	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.093	0.907	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.091	0.909	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.089	0.911	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.086	0.914	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.082	0.917	0.001
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.082	0.918	0.001
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.081	0.918	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.077	0.922	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.071	0.928	0.001
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.071	0.929	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.070	0.930	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.069	0.931	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.069	0.931	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.065	0.935	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.064	0.935	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.063	0.936	0.001
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.061	0.939	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.060	0.940	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.059	0.940	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.055	0.945	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.050	0.949	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.049	0.951	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.047	0.953	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.045	0.954	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.042	0.958	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.035	0.958	0.007
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.040	0.959	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.039	0.961	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.038	0.962	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.037	0.962	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.037	0.963	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.036	0.964	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.036	0.964	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.034	0.966	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.031	0.968	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.026	0.974	0.001
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.025	0.975	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.022	0.977	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.022	0.977	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.021	0.979	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.019	0.980	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.018	0.981	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.018	0.982	0.001
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.017	0.983	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.016	0.983	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.015	0.985	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.015	0.985	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.015	0.985	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.014	0.986	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.012	0.988	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.012	0.988	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.011	0.989	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.011	0.989	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.010	0.990	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.010	0.990	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.002	0.990	0.008
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.009	0.990	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.009	0.991	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.008	0.992	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.008	0.992	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.008	0.992	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.007	0.992	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.007	0.993	0.000
rs447578 lBF = `-0.023863` Chr`9` : `10,054,522`	0.007	0.993	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.003	0.993	0.004
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.006	0.994	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.006	0.994	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.006	0.994	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.006	0.994	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.994	0.006
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.005	0.994	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.005	0.994	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.005	0.995	0.001
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.005	0.995	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.005	0.995	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.005	0.995	0.000
rs11789015 lBF = `0.101262` Chr`9` : `96,716,028`	0.004	0.995	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.004	0.995	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.004	0.996	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.004	0.996	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.004	0.996	0.000
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	0.996	0.004
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.003	0.996	0.001
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.003	0.997	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.003	0.997	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	0.997	0.003
rs10821136 lBF = `0.434416` Chr`9` : `96,238,731`	0.000	0.997	0.003
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.003	0.997	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.003	0.997	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.003	0.997	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.003	0.997	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.002	0.997	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.002	0.997	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.002	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.002	0.997	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.002	0.997	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.002	0.997	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.002	0.998	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs7851726 lBF = `0.703435` Chr`9` : `97,503,985`	0.000	0.998	0.002
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.002	0.998	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.002	0.998	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.002	0.998	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.002	0.998	0.000
rs10125737 lBF = `-0.0994123` Chr`9` : `81,083,897`	0.000	0.998	0.002
rs7025486 lBF = `-0.0535816` Chr`9` : `124,422,403`	0.002	0.998	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	0.998	0.002
rs4878712 lBF = `-0.102975` Chr`9` : `37,654,257`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.001	0.998	0.000
rs71321217 lBF = `0.03113` Chr`9` : `10,036,568`	0.001	0.998	0.000
rs10821415 lBF = `0.997759` Chr`9` : `97,713,459`	0.001	0.998	0.000
rs649057 lBF = `0.130024` Chr`9` : `102,234,323`	0.001	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.001	0.998	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.001	0.998	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	0.998	0.001
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.999	0.000
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.001	0.999	0.000
rs1858231 lBF = `-0.0583609` Chr`9` : `109,676,893`	0.000	0.999	0.001
rs10809457 lBF = `-0.080016` Chr`9` : `11,402,319`	0.000	0.999	0.001
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.001	0.999	0.000
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rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.000	0.999	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	0.999	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.000	0.999	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.000	0.999	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.000	0.999	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.000	0.999	0.000
rs7044529 lBF = `0.134957` Chr`9` : `137,568,051`	0.000	0.999	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	0.999	0.000
rs10117734 lBF = `-0.0734668` Chr`9` : `4,404,786`	0.000	0.999	0.000
rs2381416 lBF = `42.5806` Chr`9` : `6,193,455`	0.000	0.999	0.000
rs10975479 lBF = `35.199` Chr`9` : `6,197,377`	0.000	0.999	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.000	0.999	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	0.999	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	0.999	0.000
rs10512248 lBF = `0.035425` Chr`9` : `98,259,703`	0.000	0.999	0.000
rs10983238 lBF = `0.021247` Chr`9` : `119,333,683`	0.000	0.999	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	0.999	0.000
rs150611042 lBF = `0.00705816` Chr`9` : `117,083,803`	0.000	0.999	0.000
rs16914811 lBF = `-0.0722886` Chr`9` : `101,076,627`	0.000	0.999	0.000
rs1547201 lBF = `-0.0901987` Chr`9` : `98,816,484`	0.000	0.999	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.000	0.999	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.000	0.999	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	0.999	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.000	0.999	0.000
rs12552736 lBF = `0.863679` Chr`9` : `25,449,122`	0.000	0.999	0.000
rs1575972 lBF = `0.147061` Chr`9` : `22,301,092`	0.000	0.999	0.000
rs7027203 lBF = `0.10647` Chr`9` : `96,562,563`	0.000	0.999	0.000
rs4448343 lBF = `0.0341325` Chr`9` : `98,266,370`	0.000	0.999	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	0.999	0.000
rs7032871 lBF = `0.0124349` Chr`9` : `32,422,690`	0.000	0.999	0.000
rs1771792 lBF = `-0.042262` Chr`9` : `125,221,224`	0.000	0.999	0.000
rs2475335 lBF = `-0.0442115` Chr`9` : `10,260,263`	0.000	0.999	0.000
rs7869550 lBF = `-0.0592271` Chr`9` : `119,134,796`	0.000	0.999	0.000
rs12339966 lBF = `-0.0664146` Chr`9` : `11,641,243`	0.000	0.999	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.000	0.999	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.000	0.999	0.000
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.000	0.999	0.000
rs7872515 lBF = `0.93142` Chr`9` : `94,822,540`	0.000	0.999	0.000
rs35775808 lBF = `0.734475` Chr`9` : `102,225,544`	0.000	0.999	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	0.999	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	0.999	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	0.999	0.000
rs10988449 lBF = `0.00172677` Chr`9` : `132,370,360`	0.000	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	0.999	0.000
rs2515629 lBF = `-0.0149636` Chr`9` : `107,594,364`	0.000	0.999	0.000
rs1407508 lBF = `-0.0168105` Chr`9` : `101,644,538`	0.000	0.999	0.000
rs11790388 lBF = `-0.0353163` Chr`9` : `129,740,283`	0.000	0.999	0.000
rs7868992 lBF = `-0.0552473` Chr`9` : `116,991,071`	0.000	0.999	0.000
rs1572299 lBF = `-0.0955674` Chr`9` : `121,346,417`	0.000	0.999	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.000	0.999	0.000
rs7032572 lBF = `35.2316` Chr`9` : `6,172,380`	0.000	0.999	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	0.999	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	0.999	0.000
rs7849270 lBF = `0.180582` Chr`9` : `131,874,641`	0.000	0.999	0.000
rs2378383 lBF = `0.163868` Chr`9` : `82,039,362`	0.000	0.999	0.000
rs3905000 lBF = `0.130695` Chr`9` : `107,657,070`	0.000	0.999	0.000
rs736893 lBF = `0.12449` Chr`9` : `4,217,028`	0.000	0.999	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	0.999	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	0.999	0.000
rs7042950 lBF = `0.0188612` Chr`9` : `77,149,837`	0.000	0.999	0.000
rs669484 lBF = `-0.0102665` Chr`9` : `10,433,023`	0.000	0.999	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	0.999	0.000
rs10819643 lBF = `-0.0143786` Chr`9` : `102,037,970`	0.000	0.999	0.000
rs9408926 lBF = `-0.0158922` Chr`9` : `123,914,874`	0.000	0.999	0.000
rs4744712 lBF = `-0.0750718` Chr`9` : `71,434,707`	0.000	0.999	0.000
rs10813960 lBF = `-0.0788014` Chr`9` : `33,180,362`	0.000	0.999	0.000
rs10812641 lBF = `-0.0903935` Chr`9` : `2,777,384`	0.000	0.999	0.000
rs12555345 lBF = `-0.101594` Chr`9` : `27,630,562`	0.000	0.999	0.000
rs1342326 lBF = `36.626` Chr`9` : `6,190,076`	0.000	0.999	0.000
rs739447 lBF = `6.23807` Chr`9` : `136,477,511`	0.000	0.999	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.999	0.000
rs1570582 lBF = `3.29743` Chr`9` : `85,910,512`	0.000	0.999	0.000
rs10987145 lBF = `0.564978` Chr`9` : `128,853,643`	0.000	0.999	0.000
rs12349081 lBF = `0.551151` Chr`9` : `21,951,902`	0.000	0.999	0.000
rs7873102 lBF = `0.289787` Chr`9` : `38,041,142`	0.000	0.999	0.000
rs2472386 lBF = `0.104768` Chr`9` : `107,601,541`	0.000	0.999	0.000
rs377310910 lBF = `0.0488873` Chr`9` : `1,940,937`	0.000	0.999	0.000
rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.000	0.999	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	0.999	0.000
rs2273720 lBF = `-0.00037112` Chr`9` : `27,209,469`	0.000	0.999	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	0.999	0.000
rs9695226 lBF = `-0.00986366` Chr`9` : `22,759,396`	0.000	0.999	0.000
rs59677118 lBF = `-0.0120804` Chr`9` : `14,441,677`	0.000	0.999	0.000
rs7849973 lBF = `-0.0208065` Chr`9` : `22,819,576`	0.000	0.999	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.000	0.999	0.000
rs10980854 lBF = `-0.0365583` Chr`9` : `114,050,357`	0.000	0.999	0.000
rs10758161 lBF = `-0.0411922` Chr`9` : `32,755,028`	0.000	0.999	0.000
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	0.999	0.000
rs10785877 lBF = `-0.0647976` Chr`9` : `137,125,501`	0.000	0.999	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.000	0.999	0.000
rs7865468 lBF = `-0.0706559` Chr`9` : `10,274,080`	0.000	0.999	0.000
rs4641121 lBF = `-0.0813814` Chr`9` : `7,071,706`	0.000	0.999	0.000
rs15676 lBF = `-0.0842644` Chr`9` : `131,572,027`	0.000	0.999	0.000
rs888219 lBF = `-0.0944461` Chr`9` : `128,929,023`	0.000	0.999	0.000
rs4075163 lBF = `-0.105383` Chr`9` : `91,599,103`	0.000	0.999	0.000
rs928413 lBF = `44.0651` Chr`9` : `6,213,387`	0.000	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.2590

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1296

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7147

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7098

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6994

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6890

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6821

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6728

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6691

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6611

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6560

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6506

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6464

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6424

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6381

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6378

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6341

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6327

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6323

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6180

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.6176

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6113

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5978

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5942

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5919

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5852

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5704

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5704

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5673

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5581

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5424

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5391

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5263

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5256

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5175

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5044

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4737

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4691

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4517

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4443

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4427

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4399

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4321

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4286

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4208

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4161

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4105

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4104

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4090

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.3903

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3864

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3690

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3599

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3317

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2967

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2855

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2823

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2771

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2770

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2694

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2646

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2635

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2631

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2567

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2537

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2396

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2392

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2370

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2352

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2330

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2247

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2238

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2173

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1991

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1957

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1949

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1876

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1830

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1762

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1761

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1717

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1661

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1646

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1540

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1528

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1510

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1465

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1456

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1393

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1319

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1246

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1211

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1200

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1174

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1151

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1145

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1101

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1083

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1062

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1060

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1033

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1022

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0995

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0992

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0978

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0954

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0954

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.0838

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0801

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0761

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0739

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0723

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0697

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0695

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0686

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0683

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0676

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0628

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0619

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0618

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0605

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0585

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0569

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0554

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`)