TreeWAS – [S06.00] Concussion (without open intracranial wound)

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
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.820	0.180	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.719	0.281	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.707	0.293	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.705	0.295	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.702	0.298	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.696	0.304	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.689	0.311	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.689	0.311	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.688	0.311	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.685	0.315	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.683	0.317	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.670	0.330	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.666	0.334	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.660	0.340	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.660	0.340	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.658	0.342	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.658	0.342	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.655	0.345	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.652	0.348	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.652	0.348	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.652	0.348	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.648	0.352	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.646	0.354	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.642	0.358	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.635	0.365	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.635	0.365	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.634	0.366	0.000
rs12046289 lBF = `24.5034` Chr`1` : `114,451,386`	0.634	0.366	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.633	0.366	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.633	0.367	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.633	0.367	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.633	0.367	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.632	0.368	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.632	0.368	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.623	0.377	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.623	0.377	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.623	0.377	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.622	0.378	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.619	0.381	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.619	0.381	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.617	0.383	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.617	0.383	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.617	0.383	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.614	0.386	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.614	0.386	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.613	0.387	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.612	0.388	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.610	0.390	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.608	0.392	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.605	0.395	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.605	0.395	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.604	0.395	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.598	0.402	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.597	0.403	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.596	0.404	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.589	0.411	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.587	0.413	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.587	0.413	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.587	0.413	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.585	0.415	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.584	0.416	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.584	0.416	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.583	0.417	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.583	0.417	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.583	0.417	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.582	0.418	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.581	0.419	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.579	0.420	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.579	0.421	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.579	0.421	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.579	0.421	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.577	0.423	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.577	0.423	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.576	0.424	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.575	0.425	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.575	0.425	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.574	0.426	0.000
rs12725009 lBF = `3.38119` Chr`1` : `3,413,997`	0.573	0.427	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.570	0.430	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.570	0.430	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.569	0.431	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.569	0.431	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.569	0.431	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.567	0.433	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.567	0.433	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.566	0.434	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.565	0.435	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.563	0.437	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.562	0.438	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.562	0.438	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.561	0.439	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.560	0.440	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.559	0.441	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.559	0.441	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.559	0.441	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.557	0.443	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.557	0.443	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.555	0.445	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.554	0.446	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.553	0.446	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.553	0.447	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.552	0.448	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.448	0.552
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.551	0.449	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.551	0.449	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.549	0.451	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.549	0.451	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.547	0.453	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.546	0.454	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.545	0.455	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.545	0.455	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.544	0.456	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.544	0.456	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.544	0.456	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.544	0.456	0.000
rs116039626 lBF = `1.7111` Chr`2` : `236,353,735`	0.543	0.457	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.543	0.457	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.542	0.458	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.542	0.458	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.542	0.458	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.541	0.459	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.541	0.459	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.541	0.459	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.540	0.459	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.540	0.459	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.540	0.460	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.540	0.460	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.539	0.461	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.539	0.461	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.538	0.462	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.538	0.462	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.538	0.462	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.538	0.462	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.536	0.463	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.535	0.465	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.534	0.466	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.533	0.467	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.533	0.467	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.533	0.467	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.532	0.467	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.532	0.468	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.531	0.469	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.530	0.470	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.530	0.470	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.529	0.471	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.528	0.472	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.528	0.472	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.528	0.472	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.527	0.473	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.527	0.473	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.527	0.473	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.525	0.475	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.525	0.475	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.525	0.475	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.524	0.475	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.524	0.476	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.524	0.476	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.524	0.476	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.524	0.476	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.524	0.476	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.522	0.478	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.522	0.478	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.521	0.479	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.520	0.480	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.520	0.480	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.519	0.481	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.517	0.483	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.516	0.484	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.516	0.484	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.516	0.484	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.515	0.485	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.515	0.485	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.515	0.485	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.514	0.486	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.511	0.489	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.511	0.489	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.511	0.489	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.511	0.489	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.511	0.489	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.508	0.492	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.507	0.493	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.507	0.493	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.507	0.493	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.506	0.494	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.506	0.494	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.505	0.495	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.505	0.495	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.505	0.495	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.504	0.496	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.503	0.496	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.503	0.497	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.503	0.497	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.503	0.497	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.503	0.497	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.503	0.497	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.503	0.497	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.502	0.498	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.502	0.498	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.501	0.498	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.501	0.499	0.000
rs4696584 lBF = `0.72602` Chr`4` : `155,397,517`	0.501	0.499	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.501	0.499	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.500	0.500	0.000
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rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.454	0.546	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.453	0.546	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.453	0.546	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.453	0.547	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.453	0.547	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.453	0.547	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.453	0.547	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.452	0.548	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.452	0.548	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.451	0.548	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.451	0.548	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.451	0.549	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.451	0.549	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.450	0.549	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.450	0.549	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.450	0.549	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.450	0.550	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.450	0.550	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.450	0.550	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.449	0.551	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.449	0.551	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.449	0.551	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.448	0.551	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.448	0.551	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.448	0.551	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.448	0.552	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.448	0.552	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.448	0.552	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.447	0.553	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.447	0.553	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.447	0.553	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.447	0.553	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.446	0.553	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.446	0.554	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.446	0.554	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.446	0.554	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.446	0.554	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.445	0.554	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.445	0.554	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.445	0.554	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.445	0.554	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.445	0.554	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.445	0.555	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.445	0.555	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.445	0.555	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.445	0.555	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.445	0.555	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.445	0.555	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.445	0.555	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.445	0.555	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.444	0.555	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.444	0.556	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.444	0.556	0.000
rs114113732 lBF = `13.53` Chr`1` : `170,152,756`	0.444	0.556	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.444	0.556	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.444	0.556	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.444	0.556	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.444	0.556	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.444	0.556	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.444	0.556	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.443	0.557	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.443	0.557	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.443	0.557	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.443	0.557	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.442	0.557	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.442	0.558	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.442	0.558	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.442	0.558	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.442	0.558	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.442	0.558	0.000
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.442	0.558	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.441	0.558	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.441	0.558	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.441	0.558	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.441	0.558	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.441	0.558	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.441	0.559	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.441	0.559	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.441	0.559	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.441	0.559	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.440	0.559	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.440	0.560	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.440	0.560	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.440	0.560	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.440	0.560	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.440	0.560	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.440	0.560	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.439	0.560	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.439	0.560	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.439	0.560	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.439	0.561	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.438	0.562	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.438	0.562	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.437	0.562	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.438	0.562	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

0.5203

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1454

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9824

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9744

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9655

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9576

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9552

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9482

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9418

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9406

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9350

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9315

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9312

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9307

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9271

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9166

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9163

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9157

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9157

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8958

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8956

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8898

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8892

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8868

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8660

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8628

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8626

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8532

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8364

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8351

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8269

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8258

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8235

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8218

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8200

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8189

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8150

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8075

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8041

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7985

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7974

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7910

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7872

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7803

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7788

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7721

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7696

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7623

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7600

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7595

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7583

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7563

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7553

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7549

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7543

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7501

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7487

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7472

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7421

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7414

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7371

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7330

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7316

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7283

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7277

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7246

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7232

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7216

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7156

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7021

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7015

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6997

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6966

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6931

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6820

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6815

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6705

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6678

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6652

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6627

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6603

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6596

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6585

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6583

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6577

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6576

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6560

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6536

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6489

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6372

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6345

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6256

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6252

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6179

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6166

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6136

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6101

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6028

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6010

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5994

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5993

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5991

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5929

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5919

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5814

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5590

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5537

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5524

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5468

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5443

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5422

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5396

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5236

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5212

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5186

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5105

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5093

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5068

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4919

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4813

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4799

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4776

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4765

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4735

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4703

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4648

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4623

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4616

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4594

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4473

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4464

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4307

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4227

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4158

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4138

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4118

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4060

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4031

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3990

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3868

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3800

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3760

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3728

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3694

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3647

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3568

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3553

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3351

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3191

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2854

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2747

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2717

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2696

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2563

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2383

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2365

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2263

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2235

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2184

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2176

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2021

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1969

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1941

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1818

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1736

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1653

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1643

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1537

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1384

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1371

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1242

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1129

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1082

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1077

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0961

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0959

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0902

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0866

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0813

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0772

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0761

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0549

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`)