TreeWAS – [C53.9] Cervix uteri, unspecified

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
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.979	0.021	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.960	0.040	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.898	0.102	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.864	0.136	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.859	0.141	0.000
rs12140275 lBF = `1.29665` Chr`1` : `38,633,879`	0.000	0.182	0.818
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.806	0.194	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.799	0.201	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.797	0.203	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.796	0.204	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.792	0.208	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.791	0.209	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.789	0.211	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.776	0.224	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.775	0.225	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.757	0.243	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.749	0.251	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.747	0.253	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.743	0.257	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.743	0.257	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.734	0.266	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.734	0.266	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.729	0.271	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.728	0.272	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.726	0.274	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.726	0.274	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.725	0.275	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.717	0.283	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.714	0.286	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.712	0.288	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.711	0.289	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.710	0.290	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.710	0.290	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.709	0.291	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.709	0.291	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.708	0.292	0.000
rs28534808 lBF = `16.0989` Chr`6` : `32,633,855`	0.000	0.295	0.705
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.701	0.299	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.698	0.302	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.697	0.303	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.696	0.304	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.693	0.307	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.692	0.308	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.691	0.309	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.690	0.310	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.688	0.312	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.685	0.315	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.685	0.315	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.679	0.321	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.678	0.322	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.324	0.676
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.674	0.326	0.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.329	0.671
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.669	0.330	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.668	0.332	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.000	0.334	0.666
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.664	0.336	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.663	0.337	0.000
rs116571774 lBF = `18.8021` Chr`6` : `32,594,612`	0.000	0.338	0.662
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.658	0.342	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.656	0.344	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.656	0.344	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.656	0.344	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.656	0.344	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.654	0.346	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.653	0.347	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.652	0.347	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.652	0.348	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.649	0.351	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.649	0.351	0.000
rs115070742 lBF = `19.7652` Chr`6` : `32,522,053`	0.000	0.352	0.648
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.647	0.353	0.000
rs2050189 lBF = `49.4345` Chr`6` : `32,339,647`	0.645	0.355	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.644	0.356	0.000
rs77015620 lBF = `18.4816` Chr`6` : `32,583,783`	0.000	0.356	0.644
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.644	0.356	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.643	0.357	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.642	0.358	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.641	0.359	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.641	0.359	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.640	0.360	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.639	0.361	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.638	0.362	0.000
rs2297603 lBF = `6.02943` Chr`9` : `101,778,265`	0.637	0.363	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.635	0.365	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.635	0.365	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.635	0.365	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.634	0.366	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.632	0.368	0.000
rs73729108 lBF = `17.2585` Chr`6` : `32,514,607`	0.000	0.368	0.632
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.632	0.368	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.631	0.369	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.628	0.372	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.628	0.372	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.628	0.372	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.627	0.373	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.626	0.374	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.625	0.375	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.625	0.375	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.625	0.375	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.624	0.375	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.623	0.377	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.623	0.377	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.621	0.379	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.621	0.379	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.620	0.380	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.619	0.381	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.619	0.381	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.619	0.381	0.000
rs12131057 lBF = `1.07199` Chr`1` : `38,624,129`	0.000	0.382	0.618
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.618	0.382	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.617	0.383	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.617	0.383	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.617	0.383	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.617	0.383	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.615	0.384	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.615	0.385	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.612	0.387	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.611	0.389	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.610	0.389	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.610	0.390	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.610	0.390	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.609	0.390	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.608	0.392	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.608	0.392	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.607	0.393	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.606	0.394	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.605	0.395	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.604	0.395	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.604	0.396	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.602	0.398	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.602	0.398	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.599	0.401	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.598	0.402	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.597	0.403	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.596	0.404	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.595	0.405	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.595	0.405	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.594	0.406	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.594	0.406	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.594	0.406	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.593	0.406	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.593	0.407	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.592	0.408	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.591	0.409	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.591	0.409	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.590	0.410	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.590	0.410	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.589	0.411	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.589	0.411	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.588	0.412	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.588	0.412	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.587	0.412	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.586	0.413	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.585	0.414	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.585	0.415	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.585	0.415	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.585	0.415	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.584	0.416	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.584	0.416	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.584	0.416	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.583	0.416	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.583	0.417	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.582	0.418	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.582	0.418	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.581	0.419	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.580	0.420	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.579	0.421	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.579	0.421	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.578	0.422	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.577	0.423	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.576	0.424	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.575	0.425	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.575	0.425	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.575	0.425	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.574	0.426	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.573	0.427	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.572	0.428	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.572	0.428	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.572	0.428	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.572	0.428	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.572	0.428	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.571	0.429	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.570	0.430	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.570	0.430	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.569	0.431	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.569	0.431	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.569	0.431	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.569	0.431	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.567	0.433	0.000
rs114946066 lBF = `5.04818` Chr`3` : `185,653,097`	0.567	0.433	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.566	0.434	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.565	0.435	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.565	0.435	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.565	0.435	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.564	0.435	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.564	0.436	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.564	0.436	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.564	0.436	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.563	0.437	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.560	0.439	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.560	0.440	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.559	0.441	0.000
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rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.482	0.518	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.482	0.518	0.000
rs16886181 lBF = `28.4213` Chr`5` : `56,029,243`	0.482	0.518	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.482	0.518	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.482	0.518	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.482	0.518	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.481	0.519	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.481	0.519	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.481	0.519	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.481	0.519	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.480	0.519	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.480	0.520	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.480	0.520	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.480	0.520	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.479	0.520	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.479	0.521	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.479	0.521	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.479	0.521	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.479	0.521	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.478	0.522	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.478	0.522	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.478	0.522	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.478	0.522	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.477	0.522	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.477	0.523	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.477	0.523	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.477	0.523	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.477	0.523	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.476	0.524	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.476	0.524	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.475	0.524	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.475	0.524	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.475	0.525	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.475	0.525	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.475	0.525	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.475	0.525	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.474	0.525	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.474	0.526	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.473	0.526	0.000
rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.473	0.526	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.473	0.527	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.473	0.527	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.473	0.527	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.473	0.527	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.472	0.528	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.471	0.529	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.471	0.529	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.471	0.529	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.471	0.529	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.471	0.529	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.470	0.530	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.470	0.530	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.470	0.530	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.469	0.531	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.469	0.531	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.468	0.532	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.468	0.532	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.468	0.532	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.468	0.532	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.467	0.533	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.466	0.533	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.466	0.534	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.466	0.534	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.466	0.534	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.466	0.534	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.466	0.534	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.465	0.534	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.465	0.534	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.465	0.534	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.465	0.535	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.464	0.535	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.464	0.535	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.464	0.536	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.464	0.536	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.464	0.536	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.464	0.536	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.464	0.536	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.464	0.536	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.464	0.536	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.464	0.536	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.463	0.537	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.463	0.537	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.463	0.537	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.462	0.538	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.462	0.538	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.462	0.538	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.462	0.538	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.461	0.538	0.000
rs16886165 lBF = `27.661` Chr`5` : `56,023,083`	0.461	0.539	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.461	0.539	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.461	0.539	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.460	0.539	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.460	0.539	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.460	0.540	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.460	0.540	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

0.1577

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0573

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9958

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9838

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9777

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9671

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9646

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9199

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9173

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9073

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9052

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8909

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8865

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8860

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8855

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8752

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8719

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8714

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8650

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8417

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8415

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8268

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8208

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8099

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8085

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7991

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7978

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7662

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7524

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7435

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7404

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7401

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7309

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7214

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7201

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6989

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6858

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6614

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6488

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6479

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6436

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6186

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6045

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5934

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5894

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5785

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5723

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5641

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5524

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5501

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5326

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5270

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5232

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5206

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5012

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4988

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4755

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4638

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4561

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4555

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4550

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4489

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4447

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4275

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4241

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4219

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4213

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4196

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4186

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4182

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4149

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4116

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4043

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3947

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3899

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3868

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3848

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3838

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3836

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3767

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3736

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3721

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3628

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3621

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3506

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3426

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3422

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3412

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3406

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3367

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3366

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3278

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3276

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.3259

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3187

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3178

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3046

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3001

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2919

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2916

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2887

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2813

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2690

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2646

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2631

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2616

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2607

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2534

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2366

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2343

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2333

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2308

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2291

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2215

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2199

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2181

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2103

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2028

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1847

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1773

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1761

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1759

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1752

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1711

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1679

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1670

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1654

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1629

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1587

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1399

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1377

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1354

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1313

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1303

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1158

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1112

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1096

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0944

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0929

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0927

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0926

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0926

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0850

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0826

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0806

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0801

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0794

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0790

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0777

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0770

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0699

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0688

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0669

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0633

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0602

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0590

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0551

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0524

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`)