TreeWAS – [S32.40] Fracture of acetabulum (closed)

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
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.918	0.082	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.889	0.111	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.866	0.134	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.839	0.161	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.838	0.162	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.824	0.176	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.813	0.187	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.798	0.202	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.796	0.204	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.766	0.234	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.759	0.241	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.756	0.244	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.748	0.252	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.745	0.255	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.740	0.260	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.733	0.267	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.733	0.267	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.733	0.267	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.728	0.271	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.727	0.273	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.719	0.281	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.717	0.283	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.715	0.285	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.713	0.287	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.712	0.288	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.709	0.291	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.706	0.294	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.706	0.294	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.706	0.294	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.704	0.296	0.000
rs9257890 lBF = `17.4967` Chr`6` : `29,486,908`	0.704	0.296	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.694	0.306	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.693	0.307	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.692	0.308	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.691	0.309	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.687	0.313	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.682	0.318	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.682	0.318	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.680	0.320	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.680	0.320	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.679	0.321	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.679	0.321	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.679	0.321	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.679	0.321	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.678	0.322	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.677	0.323	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.677	0.323	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.676	0.324	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.676	0.324	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.675	0.325	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.672	0.328	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.671	0.329	0.000
rs2516478 lBF = `31.7187` Chr`6` : `31,498,737`	0.670	0.330	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.670	0.330	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.670	0.330	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.670	0.330	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.669	0.331	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.666	0.334	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.665	0.335	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.664	0.336	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.664	0.336	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.662	0.338	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.662	0.338	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.653	0.347	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.650	0.350	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.648	0.352	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.648	0.352	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.647	0.353	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.647	0.353	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.644	0.356	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.643	0.357	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.643	0.357	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.642	0.358	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.639	0.361	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.638	0.362	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.638	0.362	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.636	0.364	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.635	0.365	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.633	0.367	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.633	0.367	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.632	0.368	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.630	0.370	0.000
rs2516489 lBF = `32.5039` Chr`6` : `31,488,038`	0.629	0.371	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.628	0.372	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.628	0.372	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.628	0.372	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.627	0.373	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.626	0.374	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.625	0.375	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.625	0.375	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.623	0.377	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.621	0.379	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.619	0.381	0.000
rs2285792 lBF = `17.382` Chr`6` : `29,478,170`	0.618	0.382	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.617	0.382	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.616	0.384	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.616	0.384	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.615	0.385	0.000
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.615	0.385	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.614	0.386	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.613	0.387	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.613	0.387	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.612	0.387	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.613	0.387	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.612	0.387	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.612	0.388	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.611	0.389	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.611	0.389	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.611	0.389	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.610	0.389	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.610	0.390	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.610	0.390	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.609	0.390	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.609	0.391	0.000
rs17189441 lBF = `60.2526` Chr`6` : `30,758,555`	0.608	0.392	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.606	0.394	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.605	0.395	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.604	0.396	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.600	0.400	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.599	0.401	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.598	0.402	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.598	0.402	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.597	0.403	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.596	0.404	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.594	0.406	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.593	0.407	0.000
rs9257887 lBF = `18.6493` Chr`6` : `29,485,289`	0.593	0.407	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.593	0.407	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.592	0.408	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.591	0.409	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.591	0.409	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.590	0.410	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.590	0.410	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.589	0.411	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.588	0.411	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.588	0.411	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.588	0.412	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.588	0.412	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.588	0.412	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.586	0.414	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.585	0.415	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.584	0.416	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.584	0.416	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.583	0.417	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.582	0.418	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.581	0.419	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.580	0.420	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.580	0.420	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.579	0.421	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.578	0.422	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.578	0.422	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.577	0.423	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.577	0.423	0.000
rs1265883 lBF = `0.541191` Chr`1` : `160,464,911`	0.573	0.427	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.573	0.427	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.572	0.428	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.572	0.428	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.571	0.429	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.570	0.429	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.570	0.430	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.570	0.430	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.570	0.430	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.570	0.430	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.569	0.431	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.568	0.432	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.567	0.433	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.567	0.433	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.566	0.434	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.566	0.434	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.565	0.435	0.000
rs13220225 lBF = `59.7189` Chr`6` : `30,747,802`	0.565	0.435	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.565	0.435	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.565	0.435	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.565	0.435	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.564	0.436	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.563	0.437	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.563	0.437	0.000
rs3093668 lBF = `82.8967` Chr`6` : `31,546,495`	0.562	0.437	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.562	0.438	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.561	0.439	0.000
rs1511453 lBF = `0.95307` Chr`4` : `23,588,462`	0.560	0.440	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.559	0.441	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.558	0.442	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.557	0.443	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.557	0.443	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.557	0.443	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.555	0.445	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.555	0.445	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.554	0.446	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.553	0.446	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.553	0.447	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.552	0.448	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.550	0.450	0.000
rs8192579 lBF = `55.7891` Chr`6` : `32,163,799`	0.550	0.450	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.549	0.451	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.549	0.451	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.549	0.451	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.549	0.451	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.548	0.452	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.547	0.453	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.546	0.454	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.546	0.454	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.546	0.454	0.000
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rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.472	0.528	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.472	0.528	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.472	0.528	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.472	0.528	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.471	0.529	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.471	0.529	0.000
rs2523512 lBF = `33.456` Chr`6` : `31,506,801`	0.471	0.529	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.470	0.530	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.469	0.531	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.469	0.531	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.469	0.531	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.469	0.531	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.468	0.531	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.468	0.531	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.468	0.532	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.468	0.532	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.467	0.533	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.467	0.533	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.467	0.533	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.466	0.534	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.466	0.534	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.466	0.534	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.466	0.534	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.465	0.535	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.465	0.535	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.465	0.535	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.465	0.535	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.464	0.536	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.464	0.536	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.463	0.536	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.463	0.537	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.462	0.537	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.462	0.538	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.462	0.538	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.462	0.538	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.462	0.538	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.462	0.538	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.461	0.538	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.461	0.539	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.461	0.539	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.461	0.539	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.461	0.539	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.460	0.539	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.460	0.540	0.000
rs9488238 lBF = `2.8638` Chr`6` : `114,017,133`	0.460	0.540	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.460	0.540	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.460	0.540	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.459	0.541	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.459	0.541	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.459	0.541	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.459	0.541	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.459	0.541	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.458	0.541	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.458	0.542	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.458	0.542	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.458	0.542	0.000
rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.458	0.542	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.457	0.542	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.457	0.543	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.457	0.543	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.457	0.543	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.456	0.544	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.456	0.544	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.456	0.544	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.455	0.545	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.455	0.545	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.455	0.545	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.455	0.545	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.455	0.545	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.455	0.545	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.454	0.546	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.454	0.546	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.454	0.546	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.453	0.547	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.453	0.547	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.453	0.547	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.452	0.547	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.452	0.548	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.452	0.548	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.452	0.548	0.000
rs9257837 lBF = `17.6747` Chr`6` : `29,368,021`	0.452	0.548	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.451	0.549	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.451	0.549	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.451	0.549	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.451	0.549	0.000
rs12528017 lBF = `25.769` Chr`6` : `29,544,551`	0.451	0.549	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.451	0.549	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.450	0.550	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.449	0.551	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.449	0.551	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.449	0.551	0.000
rs41314643 lBF = `6.56273` Chr`1` : `183,255,908`	0.449	0.551	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.448	0.552	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.448	0.552	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5022

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1567

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9969

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9931

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9823

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9818

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9666

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9574

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9438

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9392

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9108

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8965

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8947

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8943

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8918

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8831

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8815

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8790

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8742

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8582

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8580

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8551

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8449

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8433

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8304

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8148

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8057

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8049

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7907

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7851

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7731

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7727

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7684

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7631

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7492

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7421

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7409

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7364

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7346

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7336

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7298

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7188

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7118

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7029

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6929

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6860

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6802

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6798

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6794

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6714

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6686

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6516

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6473

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6395

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6394

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6365

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6328

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6130

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6123

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6101

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6003

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5934

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5923

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5876

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5773

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5766

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5746

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5746

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5699

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5682

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5647

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5630

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5618

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5588

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5586

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5576

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5557

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5513

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5488

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5429

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5362

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5277

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5135

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5094

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5091

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5080

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5031

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5025

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5019

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4798

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4714

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4650

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4570

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4499

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4437

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4341

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4306

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4273

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4237

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4172

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4142

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4135

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4131

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4115

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4089

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4056

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3969

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3960

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3903

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3886

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3861

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3856

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3820

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3796

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3738

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3679

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3663

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3585

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3441

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3431

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3379

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3315

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3308

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3303

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3291

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3283

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3193

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3084

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3063

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3062

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2959

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2958

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2935

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2929

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2743

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2717

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2692

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2686

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2527

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2480

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2390

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2343

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2284

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2265

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2253

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2233

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2188

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2073

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1959

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1922

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1891

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1881

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1817

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1805

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1779

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1761

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1744

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1733

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1590

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1441

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1400

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1392

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1389

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1359

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1301

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1281

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1228

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1144

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1110

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1098

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1095

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1055

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0949

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0942

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0929

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0919

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0914

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0859

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0836

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0806

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0734

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0725

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0704

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0695

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0643

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0568

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0539

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0523

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0514

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0512

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`)