TreeWAS – [D14.0] Middle ear, nasal cavity and accessory sinuses

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
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.824	0.176	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.811	0.189	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.798	0.202	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.797	0.203	0.000
rs17246404 lBF = `1.39279` Chr`7` : `124,462,661`	0.000	0.221	0.779
rs727505 lBF = `1.29474` Chr`7` : `124,462,081`	0.000	0.231	0.769
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.751	0.249	0.000
rs1801516 lBF = `11.9523` Chr`11` : `108,175,462`	0.000	0.252	0.748
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.746	0.254	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	0.259	0.741
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.718	0.282	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.713	0.287	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.712	0.288	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.706	0.294	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.704	0.296	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.702	0.298	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.698	0.302	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.694	0.306	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.692	0.308	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.689	0.311	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.682	0.318	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.682	0.318	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.676	0.324	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.673	0.327	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.671	0.329	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.670	0.330	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.669	0.331	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.667	0.333	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.666	0.334	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.661	0.339	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.656	0.343	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.655	0.345	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.651	0.348	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.648	0.352	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.648	0.352	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.646	0.354	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.646	0.354	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.645	0.355	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.645	0.355	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.644	0.356	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.641	0.359	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.637	0.363	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.634	0.366	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.632	0.368	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.628	0.372	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.627	0.372	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.626	0.374	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.625	0.374	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.625	0.375	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.625	0.375	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.623	0.377	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.621	0.379	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.616	0.383	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.616	0.384	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.615	0.385	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.615	0.385	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.615	0.385	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.613	0.387	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.613	0.387	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.613	0.387	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.612	0.388	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.611	0.389	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.609	0.391	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.607	0.393	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.605	0.395	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.604	0.396	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.603	0.397	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.602	0.398	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.602	0.398	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.601	0.399	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.600	0.400	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.600	0.400	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.600	0.400	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.599	0.401	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.598	0.402	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.597	0.403	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.597	0.403	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.597	0.403	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.597	0.403	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.597	0.403	0.000
rs4754317 lBF = `11.7391` Chr`11` : `108,359,161`	0.000	0.405	0.595
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.594	0.406	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.593	0.407	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.593	0.407	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.592	0.407	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.592	0.408	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.592	0.408	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.589	0.411	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.589	0.411	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.588	0.412	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.587	0.413	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.586	0.414	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.584	0.416	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.583	0.417	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.583	0.417	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.582	0.418	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.582	0.418	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.581	0.419	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.581	0.419	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.581	0.419	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.580	0.419	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.580	0.420	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.579	0.420	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.579	0.421	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.578	0.422	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.577	0.423	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.577	0.423	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.576	0.424	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.575	0.425	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.575	0.425	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.574	0.426	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.574	0.426	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.574	0.426	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.574	0.426	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.574	0.426	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.574	0.426	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.573	0.427	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.572	0.428	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.571	0.429	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.571	0.429	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.571	0.429	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.570	0.430	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.569	0.430	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.569	0.431	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.569	0.431	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.569	0.431	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.568	0.431	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.568	0.432	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.567	0.433	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.566	0.434	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.566	0.434	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.565	0.434	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.565	0.435	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.564	0.435	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.564	0.436	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.563	0.437	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.563	0.437	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.561	0.439	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.560	0.440	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.560	0.440	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.559	0.441	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.559	0.441	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.558	0.442	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.557	0.443	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.556	0.444	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.555	0.445	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.555	0.445	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.554	0.446	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.554	0.446	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.554	0.446	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.553	0.446	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.553	0.446	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.553	0.447	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.553	0.447	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.552	0.448	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.552	0.448	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.551	0.449	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.550	0.450	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.549	0.451	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.549	0.451	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.549	0.451	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.548	0.452	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.547	0.452	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.547	0.453	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.547	0.453	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.545	0.454	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.543	0.457	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.543	0.457	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.543	0.457	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.542	0.457	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.458	0.542
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.542	0.458	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.542	0.458	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.542	0.458	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.540	0.460	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.540	0.460	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.538	0.462	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.538	0.462	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.538	0.462	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.537	0.463	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.537	0.463	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.536	0.464	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.535	0.465	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.534	0.466	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.533	0.467	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.532	0.468	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.532	0.468	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.531	0.469	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.531	0.469	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.529	0.470	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.529	0.471	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.528	0.472	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.528	0.472	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.527	0.472	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.526	0.474	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.525	0.475	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.524	0.475	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.524	0.476	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.524	0.476	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.524	0.476	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.523	0.477	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.522	0.478	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.521	0.479	0.000
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rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.490	0.510	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.490	0.510	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.489	0.510	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.489	0.510	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.489	0.510	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.489	0.510	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.489	0.511	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.489	0.511	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.489	0.511	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.488	0.512	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.488	0.512	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.487	0.513	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.487	0.513	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.487	0.513	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.487	0.513	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.486	0.513	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.486	0.514	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.486	0.514	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.486	0.514	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.485	0.515	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.485	0.515	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.485	0.515	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.483	0.517	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.483	0.517	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.483	0.517	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.482	0.517	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.482	0.517	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.482	0.518	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.482	0.518	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.482	0.518	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.481	0.519	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.480	0.520	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.480	0.520	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.480	0.520	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.479	0.521	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.479	0.521	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.479	0.521	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.479	0.521	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.479	0.521	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.479	0.521	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.478	0.521	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.478	0.521	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.478	0.522	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.478	0.522	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.478	0.522	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.478	0.522	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.478	0.522	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.477	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.477	0.523	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.477	0.523	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.477	0.523	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.477	0.523	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.476	0.523	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.476	0.523	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.476	0.524	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.476	0.524	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.476	0.524	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.476	0.524	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.475	0.525	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.475	0.525	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.475	0.525	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.475	0.525	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.474	0.525	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.474	0.526	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.474	0.526	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.474	0.526	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.474	0.526	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.474	0.526	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.474	0.526	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.474	0.526	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.473	0.526	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.473	0.527	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.473	0.527	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.473	0.527	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.473	0.527	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.472	0.528	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.472	0.528	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.472	0.528	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.472	0.528	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.472	0.528	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.472	0.528	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.471	0.529	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.2134

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1201

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9815

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9546

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9529

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9506

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9461

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9251

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9243

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9229

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9049

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8974

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8905

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8734

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8638

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8579

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8525

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8470

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8396

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8307

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8220

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8181

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8173

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7923

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7874

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7873

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7836

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7795

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7679

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7659

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7565

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7558

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7549

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7537

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7430

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7192

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7154

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7111

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7089

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7084

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7039

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7033

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6931

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6873

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6789

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6652

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6604

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6600

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6558

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6534

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6513

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6479

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6429

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6361

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6342

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6288

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6259

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6249

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6072

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5950

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5918

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5910

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5874

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5863

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5830

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5820

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5801

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5763

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5752

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5601

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5567

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5542

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5509

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5436

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5342

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5259

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5172

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5075

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4972

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4874

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4863

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4773

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4771

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4594

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4592

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4548

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4282

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4182

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4051

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4050

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4022

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4016

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3955

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3898

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3741

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3732

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3710

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3693

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3685

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3568

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3477

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3357

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3344

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3259

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3255

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3221

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3219

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3195

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3170

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3170

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2990

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2845

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2813

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2566

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2560

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2465

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2388

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2202

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2168

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2083

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2009

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1873

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1813

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1600

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1449

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1362

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1180

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1110

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1073

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1063

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1061

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1047

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0955

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0911

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0874

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0872

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0710

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0647

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0632

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0574

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0559

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0528

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`)