TreeWAS – [Z88] Personal history of allergy to drugs, medicaments and biologocal substances

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
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	1.000	0.000	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	1.000	0.000	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.987	0.013	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.987	0.013	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.987	0.013	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.971	0.029	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.966	0.034	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.952	0.048	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.944	0.056	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.930	0.070	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.930	0.070	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.908	0.092	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.901	0.099	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.899	0.101	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.898	0.102	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.894	0.106	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.880	0.119	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.828	0.172	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.821	0.179	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.816	0.184	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.805	0.195	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.792	0.208	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.754	0.246	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.723	0.277	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.722	0.278	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.703	0.297	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.683	0.317	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.630	0.370	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.618	0.382	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.602	0.398	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.596	0.404	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.541	0.459	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.471	0.529	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.470	0.530	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.405	0.595	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.401	0.599	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.397	0.603	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.391	0.609	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.343	0.657	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.329	0.671	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.313	0.687	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.294	0.706	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.274	0.726	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.253	0.747	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.230	0.770	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.230	0.770	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.220	0.780	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.219	0.781	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.217	0.783	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.202	0.798	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.199	0.801	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.191	0.809	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.174	0.826	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.163	0.837	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.161	0.839	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.160	0.840	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.156	0.844	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.151	0.849	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.146	0.854	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.141	0.859	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.140	0.860	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.138	0.862	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.136	0.864	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.133	0.867	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.133	0.867	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.122	0.878	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.108	0.892	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.108	0.892	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.108	0.892	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.094	0.906	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.093	0.906	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.085	0.915	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.068	0.932	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.933	0.067
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.065	0.935	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.062	0.938	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.061	0.939	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.056	0.942	0.001
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.057	0.943	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.054	0.946	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.050	0.950	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.041	0.959	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.031	0.969	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.029	0.971	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.028	0.972	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.028	0.972	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.027	0.973	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.024	0.976	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.023	0.977	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	0.977	0.023
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.021	0.979	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.005	0.980	0.015
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.018	0.982	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.017	0.983	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.016	0.983	0.001
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.016	0.984	0.000
rs10991437 lBF = `-0.0258699` Chr`9` : `107,735,920`	0.000	0.984	0.016
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.016	0.984	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.015	0.985	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.014	0.986	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.013	0.986	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.013	0.987	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.013	0.987	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.012	0.988	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.010	0.990	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.010	0.990	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.010	0.990	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.010	0.990	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.009	0.990	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.009	0.990	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.008	0.992	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.008	0.992	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.006	0.994	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.006	0.994	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.005	0.995	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.005	0.995	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.004	0.995	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.996	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.004	0.996	0.000
rs13300284 lBF = `0.0100083` Chr`9` : `25,452,812`	0.004	0.996	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.003	0.997	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.997	0.003
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.003	0.997	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	0.997	0.003
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.002	0.997	0.001
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.003	0.997	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.002	0.997	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.002	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.002	0.998	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.002	0.998	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.002	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.002	0.998	0.000
rs16937883 lBF = `0.00563359` Chr`9` : `20,098,711`	0.002	0.998	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.002	0.998	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.002	0.998	0.000
rs7027071 lBF = `-0.0325208` Chr`9` : `126,305,042`	0.002	0.998	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.002	0.998	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.001	0.998	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.002	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.001	0.999	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.001	0.999	0.001
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.001	0.999	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.000	0.999	0.001
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs149406381 lBF = `0.00003907` Chr`9` : `30,915,159`	0.001	0.999	0.000
rs147368481 lBF = `0.00003907` Chr`9` : `30,912,421`	0.001	0.999	0.000
rs145444918 lBF = `0.00003907` Chr`9` : `30,934,829`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.001	0.999	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.001	0.999	0.000
rs75214736 lBF = `0.0000136` Chr`9` : `30,953,851`	0.001	0.999	0.000
rs184676284 lBF = `0.0000136` Chr`9` : `30,972,355`	0.001	0.999	0.000
rs151101851 lBF = `0.0000136` Chr`9` : `30,955,024`	0.001	0.999	0.000
rs184557780 lBF = `0.0000136` Chr`9` : `30,953,076`	0.001	0.999	0.000
rs141510725 lBF = `0.0000136` Chr`9` : `30,973,107`	0.001	0.999	0.000
rs74838144 lBF = `0.0000136` Chr`9` : `30,971,369`	0.001	0.999	0.000
rs151321188 lBF = `0.0000136` Chr`9` : `30,957,905`	0.001	0.999	0.000
rs77213524 lBF = `-0.00002607` Chr`9` : `30,975,832`	0.001	0.999	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.001	0.999	0.000
rs78589086 lBF = `-0.00000766` Chr`9` : `30,889,007`	0.001	0.999	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.001	0.999	0.000
rs564816 lBF = `0.00012888` Chr`9` : `4,015,370`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs186132788 lBF = `0.00025167` Chr`9` : `79,082,712`	0.000	0.999	0.001
rs12338076 lBF = `0.00017178` Chr`9` : `139,121,740`	0.001	0.999	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.001	0.999	0.000
rs10125337 lBF = `0.00010193` Chr`9` : `97,444,038`	0.001	0.999	0.000
rs16912725 lBF = `0.00005562` Chr`9` : `28,359,782`	0.000	0.999	0.001
rs115855507 lBF = `0.00004153` Chr`9` : `76,113,818`	0.001	0.999	0.000
rs185011186 lBF = `0.00004151` Chr`9` : `115,162,332`	0.001	0.999	0.000
rs9282541 lBF = `0.00003661` Chr`9` : `107,620,835`	0.001	0.999	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.999	0.000
rs59775286 lBF = `0.00002128` Chr`9` : `76,128,722`	0.001	0.999	0.000
rs116107739 lBF = `0.00002128` Chr`9` : `76,127,518`	0.001	0.999	0.000
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rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs1414253 lBF = `9.4812` Chr`9` : `21,755,630`	0.000	1.000	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.000	1.000	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.000	1.000	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.000	1.000	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.000	1.000	0.000
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.000	1.000	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.000	1.000	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	1.000	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.000	1.000	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	1.000	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.000	1.000	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	1.000	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.000	1.000	0.000
rs10124550 lBF = `1.03279` Chr`9` : `16,512,748`	0.000	1.000	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	1.000	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	1.000	0.000
rs867559 lBF = `0.642133` Chr`9` : `129,465,325`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs60588302 lBF = `0.264102` Chr`9` : `7,900,777`	0.000	1.000	0.000
rs4978053 lBF = `0.235917` Chr`9` : `26,208,857`	0.000	1.000	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.000	1.000	0.000
rs4742971 lBF = `0.166645` Chr`9` : `108,655,096`	0.000	1.000	0.000
rs944961 lBF = `0.153842` Chr`9` : `122,572,896`	0.000	1.000	0.000
rs1575972 lBF = `0.147061` Chr`9` : `22,301,092`	0.000	1.000	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	1.000	0.000
rs7853377 lBF = `0.102941` Chr`9` : `86,552,205`	0.000	1.000	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	1.000	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.000	1.000	0.000
rs2025875 lBF = `0.0783149` Chr`9` : `112,596,911`	0.000	1.000	0.000
rs12352279 lBF = `0.0736213` Chr`9` : `678,837`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	1.000	0.000
rs3802344 lBF = `0.0328771` Chr`9` : `133,534,279`	0.000	1.000	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	1.000	0.000
rs7027930 lBF = `0.02537` Chr`9` : `565,917`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs946053 lBF = `0.00945485` Chr`9` : `117,049,891`	0.000	1.000	0.000
rs1325154 lBF = `0.00855956` Chr`9` : `12,582,565`	0.000	1.000	0.000
rs4743820 lBF = `0.00585076` Chr`9` : `93,928,416`	0.000	1.000	0.000
rs11144688 lBF = `0.00352942` Chr`9` : `78,542,286`	0.000	1.000	0.000
rs12001137 lBF = `-0.00100269` Chr`9` : `11,964,872`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs10758892 lBF = `-0.0103615` Chr`9` : `7,734,250`	0.000	1.000	0.000
rs10988428 lBF = `-0.0203366` Chr`9` : `132,339,070`	0.000	1.000	0.000
rs436582 lBF = `-0.024077` Chr`9` : `118,956,668`	0.000	1.000	0.000
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.000	1.000	0.000
rs10119066 lBF = `-0.0342854` Chr`9` : `7,509,895`	0.000	1.000	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	1.000	0.000
rs473902 lBF = `-0.0419241` Chr`9` : `98,256,235`	0.000	1.000	0.000
rs4626664 lBF = `-0.0423973` Chr`9` : `9,261,737`	0.000	1.000	0.000
rs10969853 lBF = `-0.0427882` Chr`9` : `30,751,220`	0.000	1.000	0.000
rs320209 lBF = `-0.0483587` Chr`9` : `104,944,755`	0.000	1.000	0.000
rs364477 lBF = `-0.0522908` Chr`9` : `955,794`	0.000	1.000	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	1.000	0.000
rs756777 lBF = `-0.0573363` Chr`9` : `136,679,080`	0.000	1.000	0.000
rs1858231 lBF = `-0.0583609` Chr`9` : `109,676,893`	0.000	1.000	0.000
rs7021663 lBF = `-0.0602114` Chr`9` : `136,676,014`	0.000	1.000	0.000
rs4149310 lBF = `-0.060739` Chr`9` : `107,589,134`	0.000	1.000	0.000
rs16914931 lBF = `-0.0654028` Chr`9` : `101,092,316`	0.000	1.000	0.000
rs378363 lBF = `-0.0732188` Chr`9` : `9,020,223`	0.000	1.000	0.000
rs10970976 lBF = `-0.0932967` Chr`9` : `32,433,526`	0.000	1.000	0.000
rs1572299 lBF = `-0.0955674` Chr`9` : `121,346,417`	0.000	1.000	0.000
rs10738889 lBF = `-0.0966655` Chr`9` : `32,458,053`	0.000	1.000	0.000
rs4977844 lBF = `-0.0972981` Chr`9` : `23,295,899`	0.000	1.000	0.000
rs11789399 lBF = `-0.0980736` Chr`9` : `121,359,286`	0.000	1.000	0.000
rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.000	1.000	0.000
rs6560397 lBF = `-0.101569` Chr`9` : `71,471,912`	0.000	1.000	0.000
rs1889899 lBF = `-0.10378` Chr`9` : `26,789,940`	0.000	1.000	0.000
rs10781380 lBF = `-0.10469` Chr`9` : `79,408,144`	0.000	1.000	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	1.000	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.000	1.000	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.000	1.000	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.000	1.000	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.000	1.000	0.000
rs643434 lBF = `151.434` Chr`9` : `136,142,355`	0.000	1.000	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.000	1.000	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.000	1.000	0.000
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.000	1.000	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	1.000	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	1.000	0.000
rs8176719 lBF = `148.272` Chr`9` : `136,132,908`	0.000	1.000	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	1.000	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.000	1.000	0.000
rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.000	1.000	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	1.000	0.000
rs573687 lBF = `96.1061` Chr`9` : `22,011,642`	0.000	1.000	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.000	1.000	0.000
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.000	1.000	0.000
rs925489 lBF = `73.5008` Chr`9` : `100,546,600`	0.000	1.000	0.000
rs1443438 lBF = `72.9209` Chr`9` : `100,550,028`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.9999

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4893

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

1.0000

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

1.0000

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

1.0000

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9997

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9997

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9995

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9989

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9986

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9983

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9975

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9974

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9971

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9961

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9933

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9928

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9917

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9901

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9891

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9880

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9867

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9855

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9760

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9672

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9556

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9465

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9311

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9283

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9141

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9098

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8342

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7030

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6994

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6945

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6942

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6603

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6388

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6289

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6125

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5335

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5274

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4622

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4357

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4102

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1835

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1514

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1480

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1318

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1216

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1184

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0691

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0511

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`)