TreeWAS – [N64.3] Galactorrhoea not associated with childbirth

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
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.664	0.336	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.662	0.338	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.563	0.436	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.549	0.451	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.515	0.485	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.492	0.507	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.491	0.509	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.487	0.513	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.480	0.520	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.478	0.522	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.476	0.524	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.474	0.526	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.474	0.526	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.460	0.540	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.459	0.541	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.457	0.543	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.456	0.544	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.446	0.554	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.439	0.561	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.430	0.570	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.423	0.577	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.383	0.617	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.380	0.620	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.376	0.624	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.371	0.629	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.360	0.640	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.355	0.644	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.354	0.646	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.351	0.649	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.351	0.649	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.345	0.655	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.345	0.655	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.344	0.656	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.343	0.657	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.343	0.657	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.333	0.666	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.318	0.682	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.303	0.697	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.297	0.702	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.287	0.713	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.284	0.716	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.277	0.723	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.277	0.723	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.274	0.726	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.274	0.726	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.269	0.730	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.242	0.758	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.237	0.763	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.236	0.763	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.235	0.764	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.226	0.774	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.225	0.775	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.224	0.776	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.221	0.779	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.215	0.784	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.211	0.789	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.211	0.789	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.210	0.790	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.202	0.798	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.199	0.801	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.198	0.801	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.197	0.803	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.188	0.812	0.001
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.180	0.820	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.160	0.840	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.141	0.859	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.134	0.866	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.129	0.870	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.128	0.871	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.124	0.876	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.106	0.894	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.104	0.896	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.092	0.907	0.001
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.087	0.912	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.083	0.917	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.080	0.920	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.071	0.928	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.070	0.930	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.070	0.930	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.064	0.936	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.061	0.939	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.058	0.942	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.057	0.943	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.051	0.947	0.002
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	0.949	0.051
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.050	0.949	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.045	0.955	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.044	0.956	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.041	0.956	0.003
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.037	0.962	0.001
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.036	0.963	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.036	0.964	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.035	0.965	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.028	0.972	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.027	0.973	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.024	0.975	0.001
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.024	0.976	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	0.977	0.023
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.019	0.981	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.016	0.984	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.015	0.985	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.013	0.987	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.013	0.987	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.011	0.988	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.011	0.989	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.009	0.990	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.009	0.991	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.009	0.991	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.007	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.007	0.992	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.007	0.992	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.007	0.993	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.006	0.994	0.000
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.000	0.994	0.005
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.000	0.995	0.005
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	0.995	0.005
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.005	0.995	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.004	0.995	0.001
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.005	0.995	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.004	0.995	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.003	0.996	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.004	0.996	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.003	0.996	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.997	0.003
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.003	0.997	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.003	0.997	0.000
rs12449964 lBF = `-0.0610517` Chr`17` : `17,544,704`	0.000	0.997	0.003
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.000	0.997	0.003
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.002	0.997	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.997	0.002
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.002	0.998	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	0.998	0.002
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.998	0.002
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.002	0.998	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	0.998	0.002
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.002	0.998	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.002	0.998	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.998	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.002	0.998	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	0.998	0.001
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.002	0.998	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.998	0.001
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.001	0.998	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.001	0.999	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.001	0.999	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	0.999	0.001
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.001	0.999	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.001	0.999	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.001	0.999	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.001	0.999	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.000	0.999	0.001
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.001	0.999	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	0.999	0.001
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.001	0.999	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.001	0.999	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.001	0.999	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.001	0.999	0.000
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.000	0.999	0.001
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.001	0.999	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	0.999	0.001
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.001	0.999	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
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rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.000	1.000	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	1.000	0.000
rs684232 lBF = `-0.0892809` Chr`17` : `618,965`	0.000	1.000	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	1.000	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	1.000	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	1.000	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.000	1.000	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	1.000	0.000
rs227584 lBF = `0.397184` Chr`17` : `42,225,547`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	1.000	0.000
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	1.000	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	1.000	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	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

0.5277

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4716

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3500

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7167

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7161

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7154

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7145

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7142

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7120

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7097

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7095

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7038

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7010

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6998

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6992

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6906

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6860

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6850

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6810

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6740

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6484

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6482

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6420

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6380

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6321

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6258

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6251

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6210

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6172

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6103

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6063

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6059

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5971

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5967

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5895

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5855

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5842

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5737

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5513

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5407

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5381

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5199

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4938

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4765

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4644

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4544

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4512

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4230

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4105

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3974

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3888

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3373

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3302

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3242

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3130

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3106

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3057

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2973

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2905

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2816

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2652

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2600

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2519

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2403

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2326

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2272

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2256

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2197

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2175

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1864

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1751

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1639

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1538

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1297

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1138

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1107

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0911

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0903

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0723

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0679

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0659

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0647

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0642

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0636

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0632

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0553

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0538

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0517

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`)