TreeWAS – [K40.3] Unilateral or unspecified inguinal hernia, with obstruction, without 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
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.637	0.362	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.589	0.411	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.516	0.484	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.469	0.531	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.417	0.583	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.378	0.622	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.371	0.629	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.370	0.630	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.346	0.654	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.339	0.661	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.293	0.707	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.271	0.729	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.249	0.751	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.236	0.764	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.233	0.767	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.219	0.781	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.208	0.792	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.206	0.794	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.204	0.796	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.201	0.798	0.001
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.199	0.800	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.191	0.808	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.187	0.813	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.148	0.852	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.145	0.855	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.140	0.859	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.140	0.859	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.140	0.860	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.140	0.860	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.139	0.860	0.001
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.139	0.861	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.137	0.863	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.135	0.865	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.134	0.866	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.132	0.868	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.129	0.871	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.117	0.883	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.111	0.889	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.108	0.892	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.104	0.896	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.103	0.897	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.098	0.902	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.098	0.902	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.096	0.903	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.095	0.904	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.091	0.908	0.001
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.086	0.914	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.086	0.914	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.085	0.914	0.001
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.082	0.918	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.079	0.921	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.077	0.923	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.076	0.924	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.076	0.924	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.071	0.929	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.070	0.930	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.070	0.930	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.069	0.930	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.066	0.934	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.065	0.935	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.065	0.935	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.063	0.937	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.062	0.938	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.062	0.938	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.061	0.938	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.061	0.938	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.059	0.941	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.055	0.945	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.052	0.948	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.051	0.949	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.051	0.949	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.047	0.953	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.046	0.954	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.011	0.955	0.033
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.043	0.956	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.043	0.957	0.001
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.040	0.960	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.039	0.961	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.037	0.962	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.037	0.963	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.037	0.963	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.035	0.964	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.033	0.966	0.001
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.033	0.966	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.033	0.967	0.001
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.031	0.969	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.028	0.972	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.028	0.972	0.001
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.027	0.972	0.001
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.027	0.972	0.001
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.027	0.973	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.027	0.973	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.026	0.973	0.001
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.027	0.973	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.026	0.974	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.024	0.976	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.022	0.977	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.020	0.980	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.017	0.981	0.002
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.019	0.981	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.018	0.981	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.018	0.982	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.015	0.985	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	0.985	0.014
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.013	0.986	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.012	0.987	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.011	0.988	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.011	0.989	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.009	0.991	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.009	0.991	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.009	0.991	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.009	0.991	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.008	0.992	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.008	0.992	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.008	0.992	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.008	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.007	0.993	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.007	0.993	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.006	0.993	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.007	0.993	0.000
rs7025162 lBF = `0.211559` Chr`9` : `136,166,346`	0.007	0.993	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.006	0.994	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.006	0.994	0.001
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.006	0.994	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.006	0.994	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.005	0.994	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.006	0.994	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.005	0.995	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.005	0.995	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.005	0.995	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.001	0.995	0.004
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.005	0.995	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.004	0.995	0.001
rs1547201 lBF = `-0.0901987` Chr`9` : `98,816,484`	0.000	0.995	0.005
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.005	0.995	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.004	0.995	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.004	0.995	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.004	0.996	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.004	0.996	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.004	0.996	0.000
rs9785234 lBF = `-0.0285285` Chr`9` : `98,930,250`	0.004	0.996	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.004	0.996	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.003	0.997	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.997	0.003
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.003	0.997	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.003	0.997	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.003	0.997	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.003	0.997	0.000
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.003	0.997	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.003	0.997	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.002	0.997	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.002	0.997	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.002	0.997	0.000
rs41313321 lBF = `-0.0398379` Chr`9` : `131,051,316`	0.003	0.997	0.000
rs10760187 lBF = `-0.053406` Chr`9` : `124,565,820`	0.003	0.997	0.000
rs4258076 lBF = `-0.079586` Chr`9` : `19,664,081`	0.002	0.998	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.002	0.998	0.000
rs1360695 lBF = `-0.078645` Chr`9` : `122,549,086`	0.000	0.998	0.002
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.002	0.998	0.000
rs4879670 lBF = `0.241986` Chr`9` : `33,205,408`	0.002	0.998	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	0.998	0.002
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.002	0.998	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.002	0.998	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.002	0.998	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.002	0.998	0.000
rs2782931 lBF = `-0.0688358` Chr`9` : `114,850,190`	0.000	0.998	0.002
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	0.998	0.002
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.001	0.998	0.001
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.002	0.998	0.000
rs3789867 lBF = `2.17607` Chr`9` : `117,875,688`	0.002	0.998	0.000
rs3789868 lBF = `2.21391` Chr`9` : `117,875,681`	0.002	0.998	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	0.998	0.002
rs10125737 lBF = `-0.0994123` Chr`9` : `81,083,897`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.998	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.001	0.998	0.000
rs2378383 lBF = `0.163868` Chr`9` : `82,039,362`	0.002	0.998	0.000
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	0.998	0.002
rs514716 lBF = `0.811812` Chr`9` : `3,929,424`	0.000	0.998	0.002
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.001	0.999	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs7047865 lBF = `-0.0653472` Chr`9` : `78,665,776`	0.000	0.999	0.001
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.999	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.000	0.999	0.001
rs11138220 lBF = `0.0232714` Chr`9` : `82,060,528`	0.001	0.999	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.001	0.999	0.001
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs1873747 lBF = `-0.0415349` Chr`9` : `94,395,860`	0.000	0.999	0.001
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.001	0.999	0.001
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.000	0.999	0.001
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.000	0.999	0.001
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.001	0.999	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.001	0.999	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	0.999	0.001
rs117000167 lBF = `0.00350061` Chr`9` : `124,678,821`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.999	0.000
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rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.000	0.999	0.000
rs12001137 lBF = `-0.00100269` Chr`9` : `11,964,872`	0.000	0.999	0.001
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	0.999	0.000
rs10785877 lBF = `-0.0647976` Chr`9` : `137,125,501`	0.001	0.999	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.000	0.999	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.000	0.999	0.000
rs343476 lBF = `9.40989` Chr`9` : `6,072,597`	0.000	0.999	0.001
rs4838320 lBF = `0.163612` Chr`9` : `128,831,097`	0.000	0.999	0.000
rs62529502 lBF = `0.0806811` Chr`9` : `9,142,493`	0.000	0.999	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	0.999	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	0.999	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	0.999	0.000
rs10982156 lBF = `-0.012601` Chr`9` : `117,088,064`	0.000	0.999	0.000
rs12344488 lBF = `-0.0338799` Chr`9` : `78,425,925`	0.000	0.999	0.000
rs10972341 lBF = `-0.0659519` Chr`9` : `35,141,705`	0.001	0.999	0.000
rs10491678 lBF = `-0.0829272` Chr`9` : `29,568,686`	0.000	0.999	0.001
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.000	0.999	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.000	0.999	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	0.999	0.000
rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.000	0.999	0.001
rs11574914 lBF = `-0.143562` Chr`9` : `34,710,338`	0.000	0.999	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.000	1.000	0.000
rs10961534 lBF = `0.0604802` Chr`9` : `14,470,833`	0.000	1.000	0.000
rs71321217 lBF = `0.03113` Chr`9` : `10,036,568`	0.000	1.000	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	1.000	0.000
rs1831521 lBF = `0.00905263` Chr`9` : `93,409,357`	0.000	1.000	0.000
rs16922670 lBF = `-0.0231292` Chr`9` : `106,024,220`	0.000	1.000	0.000
rs2475335 lBF = `-0.0442115` Chr`9` : `10,260,263`	0.000	1.000	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	1.000	0.000
rs4741652 lBF = `-0.0638895` Chr`9` : `2,194,227`	0.000	1.000	0.000
rs2812378 lBF = `-0.146168` Chr`9` : `34,710,260`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	1.000	0.000
rs11789015 lBF = `0.101262` Chr`9` : `96,716,028`	0.000	1.000	0.000
rs842304 lBF = `-0.0144229` Chr`9` : `7,682,601`	0.000	1.000	0.000
rs10125054 lBF = `-0.0344302` Chr`9` : `114,798,037`	0.000	1.000	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	1.000	0.000
rs10968562 lBF = `-0.0474651` Chr`9` : `28,402,043`	0.000	1.000	0.000
rs7849530 lBF = `-0.0530194` Chr`9` : `94,927,735`	0.000	1.000	0.000
rs2095044 lBF = `42.5068` Chr`9` : `6,192,796`	0.000	1.000	0.000
rs10811661 lBF = `27.8432` Chr`9` : `22,134,094`	0.000	1.000	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.000	1.000	0.000
rs10975519 lBF = `0.0449991` Chr`9` : `6,253,571`	0.000	1.000	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	1.000	0.000
rs10988449 lBF = `0.00172677` Chr`9` : `132,370,360`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	1.000	0.000
rs1771792 lBF = `-0.042262` Chr`9` : `125,221,224`	0.000	1.000	0.000
rs2270204 lBF = `-0.0466587` Chr`9` : `131,042,734`	0.000	1.000	0.000
rs320209 lBF = `-0.0483587` Chr`9` : `104,944,755`	0.000	1.000	0.000
rs12351590 lBF = `-0.0497806` Chr`9` : `12,108,916`	0.000	1.000	0.000
rs13439915 lBF = `-0.06716` Chr`9` : `114,918,170`	0.000	1.000	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.000	1.000	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.000	1.000	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs10980921 lBF = `-0.0418995` Chr`9` : `114,279,912`	0.000	1.000	0.000
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	1.000	0.000
rs10969375 lBF = `-0.0563838` Chr`9` : `29,783,989`	0.000	1.000	0.000
rs928413 lBF = `44.0651` Chr`9` : `6,213,387`	0.000	1.000	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs2075064 lBF = `0.176135` Chr`9` : `126,783,847`	0.000	1.000	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	1.000	0.000
rs824248 lBF = `-0.00866318` Chr`9` : `28,772,700`	0.000	1.000	0.000
rs2094962 lBF = `-0.0149877` Chr`9` : `137,816,459`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs773506 lBF = `-0.030785` Chr`9` : `93,975,471`	0.000	1.000	0.000
rs1953021 lBF = `-0.0336922` Chr`9` : `12,914,396`	0.000	1.000	0.000
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.000	1.000	0.000
rs861189 lBF = `-0.0358512` Chr`9` : `22,185,252`	0.000	1.000	0.000
rs4741343 lBF = `-0.0639454` Chr`9` : `14,075,095`	0.000	1.000	0.000
rs10973956 lBF = `-0.0712329` Chr`9` : `38,645,055`	0.000	1.000	0.000
rs1536482 lBF = `-0.0882092` Chr`9` : `137,440,528`	0.000	1.000	0.000
rs3132306 lBF = `-0.0890675` Chr`9` : `137,440,212`	0.000	1.000	0.000
rs7042370 lBF = `-0.0990923` Chr`9` : `12,785,073`	0.000	1.000	0.000
rs4878712 lBF = `-0.102975` Chr`9` : `37,654,257`	0.000	1.000	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.000	1.000	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.000	1.000	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	1.000	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	1.000	0.000
rs2286885 lBF = `0.838942` Chr`9` : `129,246,487`	0.000	1.000	0.000
rs867559 lBF = `0.642133` Chr`9` : `129,465,325`	0.000	1.000	0.000
rs10814275 lBF = `0.043786` Chr`9` : `35,758,578`	0.000	1.000	0.000
rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.000	1.000	0.000
rs2245641 lBF = `-0.0206232` Chr`9` : `15,309,928`	0.000	1.000	0.000
rs436582 lBF = `-0.024077` Chr`9` : `118,956,668`	0.000	1.000	0.000
rs13300483 lBF = `-0.0304824` Chr`9` : `117,643,362`	0.000	1.000	0.000
rs17266958 lBF = `-0.0318511` Chr`9` : `83,265,249`	0.000	1.000	0.000
rs11103429 lBF = `-0.0322924` Chr`9` : `137,506,578`	0.000	1.000	0.000
rs17290760 lBF = `-0.0401607` Chr`9` : `32,556,380`	0.000	1.000	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

0.9984

Cluster X0239

log Bayes Factor = 21.5431

contains 3 variants

0.8514

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.9989

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.8799

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8762

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8329

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7979

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6894

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5927

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5843

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5189

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4471

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3985

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3783

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3721

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3406

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3292

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2935

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2624

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2620

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2343

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2258

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2256

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2233

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2189

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2159

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2000

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1977

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1949

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1921

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1898

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1774

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1564

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1444

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1415

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1409

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1395

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1374

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1209

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1069

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1037

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1011

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0948

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0931

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0886

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0838

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0836

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0827

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0806

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0794

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0789

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0763

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0737

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0733

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0709

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0692

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0688

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0659

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0646

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0595

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0580

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0552

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0548

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0516

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0501

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`)