TreeWAS – [S32.71] Multiple fractures of lumbar spine and pelvis (open)

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
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.626	0.373	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.609	0.391	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.607	0.393	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.595	0.405	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.591	0.409	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.587	0.413	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.584	0.416	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.582	0.418	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.582	0.418	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.580	0.420	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.576	0.424	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.573	0.427	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.570	0.429	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.568	0.432	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.564	0.435	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.562	0.438	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.560	0.440	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.559	0.441	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.557	0.443	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.556	0.444	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.555	0.445	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.552	0.448	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.552	0.448	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.552	0.448	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.551	0.449	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.550	0.450	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.549	0.451	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.541	0.459	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.539	0.461	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.535	0.465	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.535	0.465	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.533	0.466	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.532	0.468	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.531	0.469	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.531	0.469	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.527	0.473	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.527	0.473	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.524	0.476	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.524	0.476	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.523	0.477	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.521	0.479	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.521	0.479	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.519	0.481	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.517	0.482	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.517	0.482	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.517	0.483	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.515	0.485	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.513	0.487	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.512	0.488	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.512	0.488	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.511	0.488	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.509	0.491	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.509	0.491	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.508	0.491	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.508	0.492	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.507	0.492	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.507	0.493	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.507	0.493	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.506	0.493	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.505	0.494	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.505	0.494	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.505	0.495	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.505	0.495	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.503	0.497	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.502	0.497	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.502	0.498	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.501	0.499	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.500	0.499	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.500	0.500	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.499	0.500	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.498	0.502	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.498	0.502	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.498	0.502	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.497	0.502	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.497	0.503	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.496	0.504	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.496	0.504	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.494	0.505	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.494	0.505	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.494	0.506	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.493	0.507	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.492	0.508	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.490	0.509	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.490	0.510	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.489	0.511	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.485	0.514	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.485	0.515	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.485	0.515	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.485	0.515	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.484	0.516	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.484	0.516	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.484	0.516	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.483	0.517	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.481	0.518	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.481	0.519	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.481	0.519	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.481	0.519	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.481	0.519	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.480	0.519	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.480	0.520	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.480	0.520	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.480	0.520	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.480	0.520	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.479	0.521	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.479	0.521	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.478	0.521	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.478	0.522	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.477	0.523	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.476	0.523	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.476	0.524	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.476	0.524	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.476	0.524	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.474	0.526	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.472	0.527	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.472	0.527	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.472	0.528	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.472	0.528	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.472	0.528	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.471	0.528	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.471	0.529	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.471	0.529	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.471	0.529	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.470	0.530	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.470	0.530	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.470	0.530	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.469	0.530	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.469	0.530	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.469	0.531	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.469	0.531	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.468	0.532	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.468	0.532	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.467	0.532	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.466	0.534	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.465	0.535	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.465	0.535	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.465	0.535	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.464	0.536	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.463	0.537	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.463	0.537	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.463	0.537	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.462	0.538	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.462	0.538	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.461	0.538	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.461	0.538	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.461	0.538	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.461	0.539	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.461	0.539	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.461	0.539	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.461	0.539	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.461	0.539	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.461	0.539	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.460	0.539	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.460	0.540	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.460	0.540	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.460	0.540	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.459	0.540	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.459	0.541	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.459	0.541	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.459	0.541	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.458	0.541	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.458	0.542	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.458	0.542	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.458	0.542	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.458	0.542	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.457	0.542	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.457	0.542	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.457	0.543	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.457	0.543	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.457	0.543	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.457	0.543	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.456	0.543	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.455	0.545	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.455	0.545	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.455	0.545	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.455	0.545	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.454	0.546	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.454	0.546	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.453	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
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.453	0.547	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.453	0.547	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	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
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.451	0.549	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.451	0.549	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.451	0.549	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.451	0.549	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.450	0.549	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.450	0.550	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.450	0.550	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.450	0.550	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.450	0.550	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.450	0.550	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.450	0.550	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.450	0.550	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.449	0.551	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.449	0.551	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.448	0.551	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.448	0.551	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.448	0.552	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.448	0.552	0.000
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rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.413	0.587	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.413	0.587	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.412	0.587	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.412	0.588	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.412	0.588	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.412	0.588	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.412	0.588	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.412	0.588	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.411	0.588	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.411	0.588	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.411	0.588	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.411	0.589	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.411	0.589	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.411	0.589	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.411	0.589	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.410	0.589	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.410	0.590	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.410	0.590	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.410	0.590	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.410	0.590	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.410	0.590	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.410	0.590	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.410	0.590	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.409	0.590	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.409	0.590	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.409	0.591	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.409	0.591	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.409	0.591	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.408	0.591	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.408	0.591	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.408	0.592	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.408	0.592	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.408	0.592	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.408	0.592	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.408	0.592	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.408	0.592	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.407	0.592	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.407	0.592	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.407	0.593	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.407	0.593	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.407	0.593	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.407	0.593	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.407	0.593	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.406	0.593	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.406	0.594	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.406	0.594	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.406	0.594	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.406	0.594	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.406	0.594	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.406	0.594	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.406	0.594	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.406	0.594	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.405	0.594	0.000
rs9257890 lBF = `17.4967` Chr`6` : `29,486,908`	0.406	0.594	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.405	0.594	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.405	0.595	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.405	0.595	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.405	0.595	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.405	0.595	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.405	0.595	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.405	0.595	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.405	0.595	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.405	0.595	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.405	0.595	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.404	0.595	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.404	0.595	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.404	0.596	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.404	0.596	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.404	0.596	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.403	0.596	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.403	0.596	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.403	0.597	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.403	0.597	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.403	0.597	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.403	0.597	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.403	0.597	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.403	0.597	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.402	0.597	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.402	0.597	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.402	0.598	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.402	0.598	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.402	0.598	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.402	0.598	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.402	0.598	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.402	0.598	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.402	0.598	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.401	0.598	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.401	0.598	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.599	0.401
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.401	0.599	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.401	0.599	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.401	0.599	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.401	0.599	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.401	0.599	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.401	0.599	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.400	0.599	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

0.4134

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2130

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7079

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7017

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6903

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6894

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6837

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6802

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6799

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6770

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6770

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6741

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6704

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6682

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6655

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6646

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6639

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6582

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6553

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6500

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6436

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6420

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6371

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6335

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6321

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6319

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6230

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6215

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6213

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6206

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6174

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6167

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6159

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6158

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6123

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6025

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6010

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5982

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5958

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5938

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5935

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5877

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5873

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5800

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5758

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5723

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5712

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5702

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5697

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5664

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5631

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5614

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5591

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5578

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5564

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5498

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5491

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5475

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5431

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5419

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5328

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5271

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5268

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5261

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5253

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5213

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5173

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5163

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5163

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5146

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5142

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5136

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5133

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5122

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5115

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5017

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4988

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4969

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4964

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4936

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4934

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4894

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4866

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4862

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4830

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4827

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4808

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4786

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4753

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4750

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4742

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4726

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4700

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4692

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4690

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4689

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4674

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4648

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4620

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4606

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4581

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4557

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4517

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4516

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4512

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4487

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4470

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4459

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4457

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4418

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4405

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4375

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4372

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4333

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4324

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4320

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4285

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4273

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4269

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4200

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4197

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4187

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4091

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4081

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4080

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4046

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4004

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3998

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3965

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3951

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3939

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3885

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3730

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 X0293

log Bayes Factor = 169.051

contains 7 variants

0.3663

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3647

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3640

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3575

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3563

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3521

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3514

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3475

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3449

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3412

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3405

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3401

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3395

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3249

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3175

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3175

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3113

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3096

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3070

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3067

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3030

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2983

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2962

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2930

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2894

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 X0205

log Bayes Factor = 674.183

contains 18 variants

0.2806

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2803

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2764

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2678

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2602

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2570

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2535

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2529

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2521

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2307

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2289

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2233

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2217

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2206

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2185

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2176

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2166

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2113

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2108

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2062

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2042

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2010

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1960

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1943

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1936

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1862

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1855

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1826

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1805

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1763

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1694

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1631

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1489

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1402

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1300

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1257

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1221

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1181

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1136

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1002

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0890

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0859

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0840

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0743

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0729

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0703

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0571

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`)