TreeWAS – [S92.20] Fracture of other tarsal bone(s) (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
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.765	0.235	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.741	0.259	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.682	0.318	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.677	0.323	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.671	0.329	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.664	0.336	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.663	0.337	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.657	0.343	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.655	0.345	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.651	0.349	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.650	0.350	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.647	0.353	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.640	0.360	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.634	0.366	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.617	0.383	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.607	0.393	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.602	0.398	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.595	0.405	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.594	0.406	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.593	0.407	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.592	0.408	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.591	0.409	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.590	0.410	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.588	0.412	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.587	0.413	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.580	0.420	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.577	0.423	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.577	0.423	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.576	0.424	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.573	0.426	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.573	0.427	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.569	0.431	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.568	0.432	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.568	0.432	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.566	0.433	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.563	0.437	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.563	0.437	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.562	0.438	0.000
rs7775861 lBF = `0.594125` Chr`6` : `51,068,717`	0.558	0.442	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.557	0.443	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.557	0.443	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.555	0.445	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.554	0.446	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.554	0.446	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.554	0.446	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.551	0.449	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.551	0.449	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.551	0.449	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.548	0.452	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.548	0.452	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.543	0.457	0.000
rs17368890 lBF = `2.18377` Chr`11` : `102,752,600`	0.543	0.457	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.542	0.458	0.000
rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.542	0.458	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.540	0.459	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.540	0.460	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.540	0.460	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.539	0.461	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.539	0.461	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.538	0.462	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.538	0.462	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.537	0.463	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.537	0.463	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.535	0.465	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.535	0.465	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.534	0.466	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.534	0.466	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.533	0.467	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.532	0.468	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.531	0.469	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.531	0.469	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.530	0.469	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.529	0.471	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.528	0.472	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.526	0.474	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.526	0.474	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.525	0.475	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.523	0.477	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.523	0.477	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.522	0.478	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.520	0.480	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.517	0.483	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.516	0.483	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.516	0.483	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.516	0.484	0.000
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.516	0.484	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.515	0.485	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.515	0.485	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.512	0.488	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.510	0.490	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.510	0.490	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.509	0.491	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.508	0.492	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.508	0.492	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.507	0.492	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.503	0.496	0.000
rs13195402 lBF = `163.895` Chr`6` : `26,463,575`	0.503	0.497	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.501	0.498	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.501	0.499	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.500	0.500	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.499	0.501	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.499	0.501	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.498	0.502	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.498	0.502	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.497	0.502	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.497	0.503	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.496	0.504	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.496	0.504	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.494	0.506	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.494	0.506	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.492	0.508	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.492	0.508	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.488	0.511	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.488	0.512	0.000
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.487	0.513	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.486	0.514	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.485	0.515	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.484	0.516	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.484	0.516	0.000
rs13219354 lBF = `133.323` Chr`6` : `27,185,664`	0.483	0.517	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.481	0.519	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.481	0.519	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.481	0.519	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.481	0.519	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.480	0.519	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.480	0.520	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.480	0.520	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.480	0.520	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.480	0.520	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.480	0.520	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.479	0.521	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.477	0.523	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.477	0.523	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.476	0.524	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.476	0.524	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.475	0.524	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.474	0.526	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.474	0.526	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.473	0.526	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.473	0.527	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.473	0.527	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.472	0.528	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.472	0.528	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.472	0.528	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.472	0.528	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.471	0.529	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.470	0.530	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.469	0.530	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.469	0.531	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.469	0.531	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.469	0.531	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.469	0.531	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.469	0.531	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.468	0.531	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.468	0.532	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.467	0.533	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.465	0.535	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.464	0.535	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.464	0.535	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.464	0.536	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.463	0.537	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.463	0.537	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.461	0.539	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.461	0.539	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.461	0.539	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.460	0.540	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.460	0.540	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.459	0.540	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.459	0.541	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.458	0.542	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.457	0.542	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.457	0.543	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.456	0.544	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.456	0.544	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.455	0.544	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.454	0.546	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.454	0.546	0.000
rs9267798 lBF = `25.63` Chr`6` : `32,044,834`	0.454	0.546	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.453	0.546	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.453	0.546	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.453	0.547	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.453	0.547	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.453	0.547	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.453	0.547	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.452	0.548	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.452	0.548	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.452	0.548	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.451	0.548	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.451	0.549	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.451	0.549	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.451	0.549	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.451	0.549	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.450	0.550	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.450	0.550	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.450	0.550	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.450	0.550	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.449	0.551	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.448	0.552	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.448	0.552	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.447	0.552	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.446	0.553	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.446	0.554	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.445	0.555	0.000
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rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.404	0.595	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.404	0.596	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.404	0.596	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.404	0.596	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.404	0.596	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.404	0.596	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.404	0.596	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.403	0.597	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.403	0.597	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.403	0.597	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.403	0.597	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.403	0.597	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.403	0.597	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.402	0.597	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.403	0.597	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.402	0.598	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.402	0.598	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.402	0.598	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.402	0.598	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.402	0.598	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.402	0.598	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.402	0.598	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.598	0.402
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.401	0.598	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.402	0.598	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.401	0.598	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.401	0.599	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.401	0.599	0.000
rs17361668 lBF = `3.61942` Chr`11` : `102,720,344`	0.401	0.599	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.401	0.599	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.401	0.599	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.401	0.599	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.400	0.599	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.400	0.599	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.400	0.599	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.400	0.600	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.400	0.600	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.400	0.600	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.399	0.600	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.399	0.600	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.399	0.600	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.399	0.600	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.399	0.601	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.399	0.601	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.399	0.601	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.399	0.601	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.399	0.601	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.398	0.601	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.399	0.601	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.398	0.601	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.398	0.601	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.398	0.602	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.398	0.602	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.398	0.602	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.398	0.602	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.398	0.602	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.398	0.602	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.398	0.602	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.397	0.602	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.397	0.603	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.397	0.603	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.397	0.603	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.397	0.603	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.397	0.603	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.396	0.604	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.396	0.604	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.396	0.604	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.396	0.604	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.396	0.604	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.396	0.604	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.395	0.604	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.395	0.604	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.395	0.605	0.000
rs17368659 lBF = `3.2217` Chr`11` : `102,742,761`	0.395	0.605	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.395	0.605	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.395	0.605	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.395	0.605	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.395	0.605	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.394	0.605	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.394	0.605	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.394	0.606	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.394	0.606	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.394	0.606	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.394	0.606	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.394	0.606	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.394	0.606	0.000
rs17368582 lBF = `3.25453` Chr`11` : `102,738,075`	0.394	0.606	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.394	0.606	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.394	0.606	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.393	0.606	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.393	0.607	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.393	0.607	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.393	0.607	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.393	0.607	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.392	0.607	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2669

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1188

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9924

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9772

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9713

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9570

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9312

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8989

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8808

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8537

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8483

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8461

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8391

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8381

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8354

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8034

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8026

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8008

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7978

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7956

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7850

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7780

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7723

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7701

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7625

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7585

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7534

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7503

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7485

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7376

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7335

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7272

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7256

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7237

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7135

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7088

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7059

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7019

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6933

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6900

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6712

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6693

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6639

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6629

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6563

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6551

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6524

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6521

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6418

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6388

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6301

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6261

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6259

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6243

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6189

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6137

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6121

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6116

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5987

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5944

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5899

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5882

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5862

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5836

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5820

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5811

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5795

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5763

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5746

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5744

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5700

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5681

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5655

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5634

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5618

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5579

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5463

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5446

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5366

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5355

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5331

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5310

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5308

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5270

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5216

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5071

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5048

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5028

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5021

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4979

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4912

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4867

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4859

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4841

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4828

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4825

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4819

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4804

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4800

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4778

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4742

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4692

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4680

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4677

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4622

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4619

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4610

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4605

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4588

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4580

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4565

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4549

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4543

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4525

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4501

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4493

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4472

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4450

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4435

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4423

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4409

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4368

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4331

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4292

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4279

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4277

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4272

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4271

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4213

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4209

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4172

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4154

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4141

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4136

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4122

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4113

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4025

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4009

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3995

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3981

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3960

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3922

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3918

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3910

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3910

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3905

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3903

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3823

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3814

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3812

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3812

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3810

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3778

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3761

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3681

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3658

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3557

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3540

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3506

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3480

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3465

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3450

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3440

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3434

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3430

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3421

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3403

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3398

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3356

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3346

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3267

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3248

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3226

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3220

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3179

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3130

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3104

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3048

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3042

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3032

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3027

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2975

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2961

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2950

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2948

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2941

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2838

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2826

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2811

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2806

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2794

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2764

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2660

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2653

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2607

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2540

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2534

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2481

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2275

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2212

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2068

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2010

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2005

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1886

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1717

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1704

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1659

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1616

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1460

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1276

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1227

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1162

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0764

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0628

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0546

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`)