TreeWAS – [Z97.4] Presence of external hearing-aid

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
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.759	0.241	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.741	0.259	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.682	0.318	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.664	0.336	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.656	0.344	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.652	0.348	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.631	0.369	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.623	0.376	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.621	0.379	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.617	0.383	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.612	0.388	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.601	0.399	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.601	0.399	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.597	0.403	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.578	0.422	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.577	0.423	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.571	0.429	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.567	0.432	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.565	0.435	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.564	0.436	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.562	0.438	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.548	0.452	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.540	0.460	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.539	0.461	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.538	0.462	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.533	0.467	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.525	0.475	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.514	0.486	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.508	0.491	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.504	0.496	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.503	0.497	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.502	0.498	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.501	0.499	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.500	0.499	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.500	0.499	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.499	0.501	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.492	0.508	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.487	0.513	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.481	0.519	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.475	0.525	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.468	0.531	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.467	0.533	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.464	0.535	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.464	0.535	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.455	0.545	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.453	0.547	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.448	0.552	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.448	0.552	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.444	0.556	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.435	0.565	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.418	0.582	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.403	0.597	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.396	0.604	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.377	0.623	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.371	0.629	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.367	0.632	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.365	0.635	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.362	0.637	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.349	0.650	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.349	0.651	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.347	0.652	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.338	0.662	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.316	0.684	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.297	0.703	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.297	0.703	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.291	0.709	0.001
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.280	0.720	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.271	0.728	0.001
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.248	0.752	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.229	0.770	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.194	0.805	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.194	0.806	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.181	0.818	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.179	0.821	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.173	0.827	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.162	0.837	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.160	0.840	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.159	0.840	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.140	0.860	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.120	0.880	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.120	0.880	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.103	0.897	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.102	0.898	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.096	0.903	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.094	0.905	0.001
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.087	0.913	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.087	0.913	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.081	0.919	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.076	0.924	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.075	0.925	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.074	0.926	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.073	0.927	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.073	0.927	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.070	0.930	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.069	0.931	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.062	0.938	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.061	0.939	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.060	0.940	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.944	0.056
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.055	0.945	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.048	0.952	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.046	0.954	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.045	0.955	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.044	0.956	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.043	0.957	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.035	0.965	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.033	0.967	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.033	0.967	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.030	0.969	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.030	0.970	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.030	0.970	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.029	0.971	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.028	0.972	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.027	0.973	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.026	0.974	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.025	0.975	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.024	0.976	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.978	0.022
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.021	0.979	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.021	0.979	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.980	0.020
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.020	0.980	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.982	0.018
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.018	0.982	0.000
rs514024 lBF = `0.0337033` Chr`9` : `130,504,070`	0.018	0.982	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.018	0.982	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.016	0.984	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.984	0.016
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.014	0.985	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.012	0.988	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.011	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.011	0.989	0.000
rs7868228 lBF = `0.313335` Chr`9` : `21,667,762`	0.000	0.989	0.011
rs10908907 lBF = `-0.0622742` Chr`9` : `92,249,584`	0.000	0.989	0.011
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.010	0.990	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.009	0.991	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.009	0.991	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.008	0.991	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.008	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.007	0.993	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.007	0.993	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.007	0.993	0.000
rs57994353 lBF = `-0.0119348` Chr`9` : `139,356,987`	0.000	0.993	0.007
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.007	0.993	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.006	0.993	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.006	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.006	0.994	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.994	0.006
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.005	0.995	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.995	0.005
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.995	0.001
rs290986 lBF = `0.261516` Chr`9` : `93,563,536`	0.000	0.995	0.005
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	0.996	0.004
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.004	0.996	0.000
rs11795343 lBF = `0.82369` Chr`9` : `32,523,737`	0.004	0.996	0.000
rs10760442 lBF = `5.00715` Chr`9` : `129,383,900`	0.004	0.996	0.000
rs8176720 lBF = `0.244702` Chr`9` : `136,132,873`	0.000	0.996	0.004
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.996	0.004
Affx-33347130 lBF = `13.4651` Chr`9` : `136,135,238`	0.000	0.996	0.004
rs865686 lBF = `3.12841` Chr`9` : `110,888,478`	0.004	0.996	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.004	0.996	0.000
rs512770 lBF = `8.25329` Chr`9` : `136,133,506`	0.000	0.996	0.004
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.003	0.996	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.003	0.997	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.000	0.997	0.003
rs12551906 lBF = `-0.0806597` Chr`9` : `102,119,090`	0.003	0.997	0.000
rs688976 lBF = `14.1937` Chr`9` : `136,136,770`	0.000	0.997	0.003
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.003	0.997	0.000
rs523340 lBF = `-0.046508` Chr`9` : `111,854,246`	0.003	0.997	0.000
rs10435736 lBF = `0.156121` Chr`9` : `31,419,915`	0.000	0.997	0.003
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	0.997	0.003
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.002	0.997	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.002	0.997	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.002	0.997	0.000
rs2273788 lBF = `-0.0277475` Chr`9` : `114,348,617`	0.000	0.997	0.003
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.003	0.997	0.000
rs13289810 lBF = `0.0569486` Chr`9` : `12,396,731`	0.000	0.997	0.003
rs638756 lBF = `14.2843` Chr`9` : `136,134,472`	0.000	0.997	0.003
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.000	0.998	0.002
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.002	0.998	0.000
rs3829849 lBF = `3.6952` Chr`9` : `129,390,800`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs8176740 lBF = `14.2006` Chr`9` : `136,131,472`	0.000	0.998	0.002
rs10760649 lBF = `-0.0501117` Chr`9` : `132,714,968`	0.002	0.998	0.000
rs17459044 lBF = `0.10655` Chr`9` : `131,853,624`	0.002	0.998	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.002	0.998	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.002	0.998	0.000
rs2777777 lBF = `0.00854426` Chr`9` : `84,213,160`	0.000	0.998	0.002
rs10967505 lBF = `-0.0461572` Chr`9` : `26,737,656`	0.002	0.998	0.000
rs62578126 lBF = `4.4764` Chr`9` : `129,375,338`	0.002	0.998	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.002	0.998	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs2225614 lBF = `-0.045702` Chr`9` : `24,111,280`	0.000	0.998	0.002
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
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rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.001	0.999	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	0.999	0.001
rs78496360 lBF = `-0.00327034` Chr`9` : `31,499,713`	0.000	0.999	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.001	0.999	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.001	0.999	0.000
rs1331623 lBF = `-0.113332` Chr`9` : `122,199,203`	0.000	0.999	0.001
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.000	0.999	0.000
rs6478282 lBF = `0.0259314` Chr`9` : `119,925,095`	0.000	0.999	0.001
rs187116366 lBF = `-0.00124602` Chr`9` : `73,915,452`	0.000	0.999	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.001	0.999	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.000	0.999	0.001
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.000	0.999	0.001
rs2090409 lBF = `0.108903` Chr`9` : `108,967,088`	0.001	0.999	0.000
rs11790388 lBF = `-0.0353163` Chr`9` : `129,740,283`	0.000	0.999	0.001
rs16914811 lBF = `-0.0722886` Chr`9` : `101,076,627`	0.000	0.999	0.001
rs7864648 lBF = `-0.0903524` Chr`9` : `16,368,732`	0.000	0.999	0.001
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	0.999	0.001
rs573687 lBF = `96.1061` Chr`9` : `22,011,642`	0.000	0.999	0.001
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	0.999	0.000
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.001	0.999	0.000
rs4149268 lBF = `0.215556` Chr`9` : `107,647,220`	0.000	0.999	0.001
rs62544595 lBF = `0.1588` Chr`9` : `27,135,718`	0.001	0.999	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.000	0.999	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.001	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs59677118 lBF = `-0.0120804` Chr`9` : `14,441,677`	0.001	0.999	0.000
rs1319535 lBF = `-0.076085` Chr`9` : `28,181,085`	0.001	0.999	0.000
rs7873389 lBF = `41.0789` Chr`9` : `100,609,230`	0.000	0.999	0.001
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.000	0.999	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.001	0.999	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	0.999	0.001
rs10984561 lBF = `0.0474393` Chr`9` : `122,258,577`	0.000	0.999	0.001
rs1412239 lBF = `0.0152357` Chr`9` : `28,425,515`	0.001	0.999	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	0.999	0.000
rs10816359 lBF = `0.00477971` Chr`9` : `108,757,670`	0.001	0.999	0.000
rs7045881 lBF = `-0.026197` Chr`9` : `26,935,996`	0.001	0.999	0.000
rs3118667 lBF = `-0.119986` Chr`9` : `136,291,063`	0.001	0.999	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.001	0.999	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.001	0.999	0.000
rs1450679 lBF = `0.83174` Chr`9` : `107,026,812`	0.001	0.999	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	0.999	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	0.999	0.001
rs2273720 lBF = `-0.00037112` Chr`9` : `27,209,469`	0.000	0.999	0.000
rs7861820 lBF = `-0.0297725` Chr`9` : `108,936,674`	0.001	0.999	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	0.999	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	0.999	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.001	0.999	0.000
rs7855088 lBF = `0.907888` Chr`9` : `100,742,253`	0.001	0.999	0.000
rs17584499 lBF = `0.0492266` Chr`9` : `8,879,118`	0.001	0.999	0.000
rs2779551 lBF = `0.00679964` Chr`9` : `101,253,226`	0.001	0.999	0.000
rs3739821 lBF = `-0.012789` Chr`9` : `130,702,477`	0.001	0.999	0.000
rs7853970 lBF = `-0.0287689` Chr`9` : `86,715,566`	0.001	0.999	0.000
rs41313321 lBF = `-0.0398379` Chr`9` : `131,051,316`	0.000	0.999	0.000
rs2274870 lBF = `-0.0886892` Chr`9` : `107,515,214`	0.000	0.999	0.000
rs1547201 lBF = `-0.0901987` Chr`9` : `98,816,484`	0.001	0.999	0.000
rs2812378 lBF = `-0.146168` Chr`9` : `34,710,260`	0.000	0.999	0.001
rs4636294 lBF = `14.3539` Chr`9` : `21,747,803`	0.001	0.999	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	0.999	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.000	0.999	0.000
rs17425572 lBF = `0.62179` Chr`9` : `88,006,338`	0.001	0.999	0.000
rs4879670 lBF = `0.241986` Chr`9` : `33,205,408`	0.000	0.999	0.001
rs914715 lBF = `0.108219` Chr`9` : `82,310,898`	0.000	0.999	0.001
rs10814275 lBF = `0.043786` Chr`9` : `35,758,578`	0.000	0.999	0.001
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	0.999	0.000
rs8177812 lBF = `-0.072232` Chr`9` : `116,151,527`	0.000	0.999	0.001
rs10970976 lBF = `-0.0932967` Chr`9` : `32,433,526`	0.001	0.999	0.000
rs4075163 lBF = `-0.105383` Chr`9` : `91,599,103`	0.001	0.999	0.000
rs1348386 lBF = `41.6856` Chr`9` : `100,612,807`	0.000	0.999	0.001
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.001	0.999	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.000	0.999	0.000
rs340928 lBF = `9.63219` Chr`9` : `6,086,913`	0.000	0.999	0.000
rs12341542 lBF = `5.44813` Chr`9` : `16,788,253`	0.000	0.999	0.001
rs1570582 lBF = `3.29743` Chr`9` : `85,910,512`	0.000	0.999	0.000
rs17461620 lBF = `0.49764` Chr`9` : `88,963,008`	0.000	0.999	0.001
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.000	0.999	0.001
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	0.999	0.000
rs4149311 lBF = `0.00594012` Chr`9` : `107,588,777`	0.001	0.999	0.000
rs10901296 lBF = `0.00589221` Chr`9` : `133,765,656`	0.000	0.999	0.001
rs643410 lBF = `0.00153414` Chr`9` : `111,799,563`	0.000	0.999	0.000
rs7849420 lBF = `-0.0223854` Chr`9` : `21,499,624`	0.001	0.999	0.000
rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.000	0.999	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	0.999	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.000	0.999	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.000	0.999	0.000
rs4132699 lBF = `1.06078` Chr`9` : `92,036,427`	0.000	0.999	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	0.999	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.999	0.000
rs10760279 lBF = `0.0500196` Chr`9` : `126,105,291`	0.000	0.999	0.001
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	0.999	0.000
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	0.999	0.000
rs1325154 lBF = `0.00855956` Chr`9` : `12,582,565`	0.000	0.999	0.000
rs10758892 lBF = `-0.0103615` Chr`9` : `7,734,250`	0.000	0.999	0.000
rs7865146 lBF = `-0.0335637` Chr`9` : `130,619,637`	0.001	0.999	0.000
rs17290760 lBF = `-0.0401607` Chr`9` : `32,556,380`	0.001	0.999	0.000
rs613391 lBF = `-0.0520333` Chr`9` : `22,670,715`	0.001	0.999	0.000
rs2025151 lBF = `-0.0584531` Chr`9` : `99,161,512`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5431

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3715

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1022

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9604

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9564

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9553

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9517

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9421

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9408

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9366

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9343

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9335

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9305

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9151

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9140

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9106

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9070

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8986

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8722

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8658

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8616

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8614

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8595

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8559

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8511

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8474

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8394

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8388

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8326

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8326

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8283

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8259

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8232

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8162

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8145

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8072

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8032

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7819

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7810

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7719

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7681

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7571

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7512

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7482

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7324

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7301

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7276

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7210

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7180

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7171

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7123

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7067

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7051

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7041

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7040

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6980

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6966

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6946

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6831

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6652

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6636

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6630

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6474

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6440

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6439

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6237

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6216

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6205

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6188

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6087

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6040

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5697

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5671

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5670

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5456

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5342

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5335

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5216

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5175

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5143

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5044

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4755

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4727

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4679

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4398

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4392

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4206

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4204

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4196

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3830

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3706

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3349

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3160

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3083

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3039

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2984

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2842

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2828

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2795

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2736

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2710

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2681

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2672

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2662

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2621

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2556

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2456

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2340

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2159

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2153

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2124

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2092

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2007

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1994

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1949

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1704

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1653

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1308

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1230

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1191

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1191

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1076

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1004

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0905

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0638

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0569

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`)