TreeWAS – [S32.20] Fracture of coccyx (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
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.646	0.354	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.513	0.487	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.504	0.496	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.503	0.497	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.503	0.497	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.503	0.497	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.500	0.500	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.496	0.504	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.495	0.505	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.494	0.506	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.493	0.507	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.492	0.507	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.491	0.509	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.490	0.510	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.489	0.510	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.489	0.511	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.488	0.512	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.488	0.512	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.487	0.513	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.487	0.513	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.485	0.514	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.485	0.515	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.485	0.515	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.484	0.516	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.483	0.517	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.483	0.517	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.483	0.517	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.482	0.518	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.481	0.519	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.481	0.519	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.479	0.520	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.479	0.521	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.477	0.522	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.477	0.523	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.477	0.523	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.474	0.526	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.474	0.526	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.473	0.527	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.473	0.527	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.473	0.527	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.472	0.528	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.472	0.528	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.472	0.528	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.471	0.529	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.471	0.529	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.471	0.529	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.470	0.530	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.470	0.530	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.469	0.530	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.469	0.531	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.468	0.532	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.467	0.532	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.467	0.532	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.467	0.533	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.466	0.533	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.466	0.534	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.466	0.534	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.465	0.535	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.465	0.535	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.464	0.535	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.464	0.536	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.464	0.536	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.463	0.537	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.463	0.537	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.463	0.537	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.462	0.538	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.462	0.538	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.461	0.538	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.461	0.539	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.461	0.539	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.460	0.539	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.460	0.540	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.460	0.540	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.460	0.540	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.460	0.540	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.460	0.540	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.459	0.541	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.459	0.541	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.459	0.541	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.459	0.541	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.458	0.541	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.458	0.541	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.457	0.543	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.457	0.543	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.456	0.543	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.456	0.543	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.456	0.544	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.456	0.544	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.455	0.544	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.455	0.545	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.455	0.545	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.455	0.545	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.454	0.546	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.454	0.546	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.454	0.546	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.453	0.546	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.453	0.547	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.453	0.547	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.453	0.547	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.453	0.547	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.452	0.547	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.452	0.547	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.452	0.547	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.452	0.548	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.452	0.548	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.451	0.548	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.451	0.548	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.451	0.549	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.451	0.549	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.450	0.549	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.450	0.549	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.450	0.549	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.450	0.549	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.450	0.550	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.450	0.550	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.450	0.550	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.449	0.550	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.449	0.551	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.449	0.551	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.448	0.551	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.448	0.552	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.448	0.552	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.448	0.552	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.448	0.552	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.447	0.553	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.447	0.553	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.447	0.553	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.447	0.553	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.446	0.553	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.446	0.553	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.446	0.553	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.446	0.554	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.446	0.554	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.445	0.555	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.444	0.555	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.444	0.556	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.444	0.556	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.444	0.556	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.444	0.556	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.443	0.557	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.443	0.557	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.443	0.557	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.443	0.557	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.443	0.557	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.443	0.557	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.442	0.558	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.441	0.559	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.441	0.559	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.440	0.560	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.440	0.560	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.440	0.560	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.440	0.560	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.439	0.560	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.439	0.560	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.439	0.561	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.438	0.562	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.438	0.562	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.438	0.562	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.438	0.562	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.437	0.562	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.437	0.562	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.437	0.563	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.437	0.563	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.437	0.563	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.437	0.563	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.436	0.564	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.436	0.564	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.436	0.564	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.436	0.564	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.435	0.564	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.435	0.565	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.435	0.565	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.435	0.565	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.435	0.565	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.435	0.565	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.434	0.566	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.434	0.566	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.434	0.566	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.434	0.566	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.434	0.566	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.434	0.566	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.434	0.566	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.434	0.566	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.434	0.566	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.433	0.566	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.433	0.567	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.433	0.567	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.432	0.567	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.432	0.567	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.432	0.567	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.432	0.567	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.432	0.568	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.432	0.568	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.432	0.568	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.431	0.568	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.431	0.569	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.431	0.569	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.431	0.569	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.431	0.569	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.431	0.569	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.431	0.569	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.430	0.569	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.430	0.569	0.000
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rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.401	0.599	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.401	0.599	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.400	0.599	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.400	0.599	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.400	0.600	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.400	0.600	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.400	0.600	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.400	0.600	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.400	0.600	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.400	0.600	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.400	0.600	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.400	0.600	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.400	0.600	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.400	0.600	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.399	0.600	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.399	0.600	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.399	0.600	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.399	0.600	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.399	0.601	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.399	0.601	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.399	0.601	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.399	0.601	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.398	0.601	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.398	0.601	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.398	0.601	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.398	0.602	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.398	0.602	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.398	0.602	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.398	0.602	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.398	0.602	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.397	0.602	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.397	0.603	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.397	0.603	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.396	0.603	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.396	0.603	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.396	0.604	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.396	0.604	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.395	0.604	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.395	0.604	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.395	0.604	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.395	0.605	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.395	0.605	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.395	0.605	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.395	0.605	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.394	0.605	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.394	0.606	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.394	0.606	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.394	0.606	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.394	0.606	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.394	0.606	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.394	0.606	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.393	0.606	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.393	0.606	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.393	0.606	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.393	0.607	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.393	0.607	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.393	0.607	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.393	0.607	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.393	0.607	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.393	0.607	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.392	0.607	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.392	0.608	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.392	0.608	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.392	0.608	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.392	0.608	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.392	0.608	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.391	0.608	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.391	0.608	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.391	0.608	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.391	0.609	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.391	0.609	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.391	0.609	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.391	0.609	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.391	0.609	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.391	0.609	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.391	0.609	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.391	0.609	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.390	0.609	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.390	0.609	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.390	0.610	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.390	0.610	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.390	0.610	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.390	0.610	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.390	0.610	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.389	0.611	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.389	0.611	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.389	0.611	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.389	0.611	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.389	0.611	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.389	0.611	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.388	0.611	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.388	0.611	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.388	0.611	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.388	0.612	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.388	0.612	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

0.4291

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2130

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5140

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5140

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5140

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5139

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5139

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5139

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5138

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5138

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5135

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5134

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5133

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5133

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5132

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5126

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5125

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5124

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5119

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5119

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5119

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5118

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5118

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5117

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5115

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5114

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5111

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5108

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5103

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5100

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5100

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5094

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5093

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5093

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5093

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5089

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5087

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5083

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5082

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5073

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5073

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5064

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5050

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5030

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5021

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5016

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5010

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4990

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4971

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4961

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4958

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4948

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4931

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4927

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4924

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4923

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4909

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4898

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4898

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4898

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4889

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4888

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4876

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4870

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4862

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4830

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4800

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4798

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4771

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4759

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4756

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4753

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4753

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4748

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4743

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4742

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4741

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4684

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4671

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4662

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4620

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4577

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4572

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4558

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4541

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4537

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4519

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4517

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4515

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4508

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4491

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4475

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4471

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4470

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4453

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4395

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4390

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4388

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4382

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4324

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4255

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4250

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4240

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4229

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4209

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4200

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4192

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4171

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4166

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4147

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4135

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4127

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4099

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4076

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4047

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4043

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4025

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4009

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4002

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4001

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3998

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3988

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3978

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3962

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3951

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3935

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3930

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3917

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3890

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3876

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3863

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3772

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3762

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3716

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3684

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3614

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3546

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3520

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3449

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3425

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3419

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3333

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3284

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3255

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3186

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3175

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3140

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3113

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3098

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3096

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3092

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3084

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3030

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3025

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2982

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2936

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2935

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2906

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2891

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2867

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2833

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2817

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2808

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2806

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2722

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2700

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2698

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2678

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2643

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2576

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2575

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2444

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2336

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2328

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2325

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2306

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2262

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2242

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2236

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2206

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2185

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2135

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2128

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2113

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2097

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1948

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1850

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1832

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1758

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1733

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1693

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1628

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1624

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1449

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1444

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1349

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1320

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1178

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1098

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1060

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1046

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1009

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0908

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0888

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0751

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0624

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0524

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0508

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`)