TreeWAS – [S29.7] Multiple injuries of thorax

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
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.685	0.315	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.662	0.338	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.656	0.343	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.636	0.364	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.634	0.366	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.613	0.386	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.603	0.397	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.601	0.399	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.599	0.401	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.598	0.402	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.595	0.405	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.592	0.408	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.589	0.411	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.585	0.415	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.584	0.416	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.582	0.418	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.581	0.419	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.580	0.420	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.579	0.421	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.576	0.424	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.576	0.424	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.575	0.425	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.574	0.426	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.574	0.426	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.572	0.428	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.572	0.428	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.572	0.428	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.571	0.429	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.571	0.429	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.571	0.429	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.569	0.431	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.567	0.433	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.566	0.434	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.565	0.434	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.563	0.437	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.560	0.439	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.559	0.441	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.558	0.442	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.558	0.442	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.557	0.443	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.557	0.443	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.557	0.443	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.555	0.445	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.448	0.551
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.551	0.449	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.551	0.449	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.550	0.449	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.549	0.450	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.548	0.452	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.547	0.453	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.547	0.453	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.546	0.453	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.546	0.454	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.546	0.454	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.545	0.455	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.544	0.455	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.544	0.455	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.544	0.456	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.544	0.456	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.543	0.456	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.543	0.457	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.542	0.458	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.542	0.458	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.541	0.459	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.541	0.459	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.541	0.459	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.540	0.460	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.540	0.460	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.540	0.460	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.539	0.461	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.539	0.461	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.539	0.461	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.538	0.461	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.538	0.462	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.537	0.462	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.537	0.462	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.537	0.463	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.536	0.463	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.464	0.535
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.535	0.464	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.535	0.465	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.534	0.465	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.534	0.465	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.534	0.466	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.534	0.466	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.534	0.466	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.533	0.467	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.532	0.467	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.532	0.468	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.532	0.468	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.532	0.468	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.531	0.469	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.530	0.469	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.530	0.470	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.530	0.470	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.530	0.470	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.530	0.470	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.530	0.470	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.530	0.470	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.529	0.470	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.529	0.471	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.528	0.472	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.528	0.472	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.528	0.472	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.527	0.472	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.527	0.473	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.527	0.473	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.527	0.473	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.527	0.473	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.526	0.473	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.526	0.474	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.526	0.474	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.526	0.474	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.525	0.475	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.525	0.475	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.524	0.475	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.524	0.475	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.524	0.476	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.524	0.476	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.524	0.476	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.523	0.477	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.523	0.477	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.523	0.477	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.523	0.477	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.522	0.478	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.522	0.478	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.522	0.478	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.522	0.478	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.522	0.478	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.522	0.478	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.521	0.478	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.521	0.478	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.521	0.479	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.521	0.479	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.521	0.479	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.521	0.479	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.520	0.479	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.520	0.480	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.520	0.480	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.519	0.481	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.519	0.481	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.519	0.481	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.519	0.481	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.519	0.481	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.518	0.481	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.518	0.481	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.518	0.482	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.518	0.482	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.518	0.482	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.518	0.482	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.517	0.482	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.517	0.483	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.517	0.483	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.517	0.483	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.517	0.483	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.516	0.483	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.516	0.483	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.516	0.484	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.516	0.484	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.516	0.484	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.515	0.484	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.515	0.484	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.515	0.484	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.515	0.485	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.515	0.485	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.514	0.486	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.514	0.486	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.514	0.486	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.514	0.486	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.514	0.486	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.513	0.487	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.513	0.487	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.513	0.487	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.512	0.487	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.512	0.488	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.512	0.488	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.512	0.488	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.512	0.488	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.512	0.488	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.511	0.488	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.511	0.489	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.511	0.489	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.510	0.489	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.510	0.490	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.510	0.490	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.510	0.490	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.510	0.490	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.510	0.490	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.509	0.491	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.509	0.491	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.508	0.491	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.508	0.492	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.508	0.492	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.508	0.492	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.507	0.492	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.507	0.492	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.507	0.492	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.507	0.493	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.507	0.493	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.507	0.493	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.507	0.493	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.507	0.493	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.506	0.493	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.506	0.494	0.000
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rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.481	0.519	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.481	0.519	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.481	0.519	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.480	0.519	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.480	0.520	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.480	0.520	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.480	0.520	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.480	0.520	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.480	0.520	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.480	0.520	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.480	0.520	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.480	0.520	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.479	0.520	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.479	0.520	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.479	0.520	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.479	0.520	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.479	0.521	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.479	0.521	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.479	0.521	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.479	0.521	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.479	0.521	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.479	0.521	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.479	0.521	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.479	0.521	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.479	0.521	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.479	0.521	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.479	0.521	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.479	0.521	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.479	0.521	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.479	0.521	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.478	0.521	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.478	0.521	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.478	0.522	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.478	0.522	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.478	0.522	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.478	0.522	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.478	0.522	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.478	0.522	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.478	0.522	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.478	0.522	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.477	0.522	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.477	0.522	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.477	0.522	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.477	0.523	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.477	0.523	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.477	0.523	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.477	0.523	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.477	0.523	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.477	0.523	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.477	0.523	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.477	0.523	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.477	0.523	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.477	0.523	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.477	0.523	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.477	0.523	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.476	0.523	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.476	0.524	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.476	0.524	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.476	0.524	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.476	0.524	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.476	0.524	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.476	0.524	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.476	0.524	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.476	0.524	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.476	0.524	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.476	0.524	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.476	0.524	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.475	0.524	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.475	0.524	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.475	0.524	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.475	0.525	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.475	0.525	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.475	0.525	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.475	0.525	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.475	0.525	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.475	0.525	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.475	0.525	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.475	0.525	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.474	0.525	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.474	0.526	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.474	0.526	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.474	0.526	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.474	0.526	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.474	0.526	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.474	0.526	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.474	0.526	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.474	0.526	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.474	0.526	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.474	0.526	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.474	0.526	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.473	0.526	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.473	0.526	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.473	0.526	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.473	0.527	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

0.4975

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3531

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7148

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7113

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7104

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7076

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7055

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7000

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6957

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6948

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6885

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6880

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6865

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6865

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6862

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6819

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6804

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6779

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6731

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6690

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6688

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6679

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6654

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6642

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6615

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6614

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6531

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6498

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6492

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6486

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6476

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6475

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6469

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6456

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6430

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6430

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6409

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6402

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6395

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6391

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6374

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6338

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6323

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6279

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6276

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6269

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6242

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6240

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6205

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6194

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6192

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6189

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6178

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6153

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6149

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6133

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6128

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6123

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6095

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6091

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6062

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6042

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6032

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6028

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6021

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6013

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5970

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5931

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5916

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5914

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5904

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5891

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5887

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5884

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5866

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5853

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5831

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5798

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5796

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5731

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5716

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5697

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5683

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5661

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5660

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5630

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5619

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5619

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5603

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5597

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5592

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5584

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5572

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5552

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5538

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5534

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5495

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5494

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5492

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5429

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5424

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5408

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5400

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5395

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5370

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5354

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5337

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5290

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5250

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5249

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5229

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5220

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5218

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5204

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5202

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5169

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5167

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5136

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5131

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5127

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5113

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5090

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5084

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5061

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5061

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5049

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5046

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5041

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4998

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4998

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4992

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4990

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4987

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4985

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4950

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4943

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4941

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4868

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4850

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4840

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4777

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4775

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4774

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4772

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4744

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4737

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4728

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4659

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4653

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4627

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4609

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4555

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4551

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4525

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4524

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4521

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4494

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4465

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4453

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4369

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4322

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4221

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4214

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4172

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4129

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4128

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4113

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4013

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3974

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3944

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3937

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3778

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3768

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3719

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3696

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3679

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3668

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3662

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3601

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3569

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3565

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3536

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3506

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3444

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3440

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3439

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3363

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3338

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3332

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3276

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3233

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3210

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3167

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3046

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2984

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2984

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2912

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2877

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2870

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2632

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2557

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2507

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2437

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2318

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1927

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1802

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1737

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1664

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1633

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1609

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1053

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0982

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0938

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0879

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0749

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0620

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`)