TreeWAS – [S29] Other and unspecified injuries of thorax

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S29

Other and unspecified injuries of thorax

Parent term	S20-S29 Injuries to the thorax
Nested terms	S29.0 Injury of muscle and tendon at thorax level S29.7 Multiple injuries of thorax S29.8 Other specified injuries of thorax S29.9 Unspecified injury of thorax

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Variant effects

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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`	0.956	0.044	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.923	0.077	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.916	0.084	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.887	0.113	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.884	0.116	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.856	0.144	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.841	0.159	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.839	0.161	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.835	0.165	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.833	0.166	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.830	0.170	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.826	0.174	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.821	0.179	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.815	0.185	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.814	0.186	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.811	0.188	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.810	0.190	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.809	0.191	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.807	0.193	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.804	0.196	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.803	0.197	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.802	0.198	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.801	0.199	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.801	0.199	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.798	0.202	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.798	0.202	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.798	0.202	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.797	0.203	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.796	0.203	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.796	0.204	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.793	0.207	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.791	0.209	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.790	0.210	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.789	0.211	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.785	0.215	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.782	0.218	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.779	0.221	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.778	0.222	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.778	0.222	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.777	0.223	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.777	0.223	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.776	0.224	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.774	0.226	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.231	0.769
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.769	0.231	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.769	0.231	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.768	0.232	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.766	0.234	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.765	0.235	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.763	0.237	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.763	0.237	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.762	0.238	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.762	0.238	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.761	0.239	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.760	0.240	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.759	0.240	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.759	0.241	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.759	0.241	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.758	0.242	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.758	0.242	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.757	0.243	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.756	0.244	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.755	0.244	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.755	0.245	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.754	0.245	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.754	0.246	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.753	0.247	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.753	0.247	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.753	0.247	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.752	0.248	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.752	0.248	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.751	0.248	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.751	0.249	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.751	0.249	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.750	0.250	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.749	0.250	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.749	0.251	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.748	0.252	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.253	0.747
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.747	0.253	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.746	0.254	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.745	0.254	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.745	0.255	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.745	0.255	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.744	0.256	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.744	0.256	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.743	0.257	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.743	0.257	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.742	0.258	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.742	0.258	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.741	0.259	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.741	0.259	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.740	0.260	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.739	0.260	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.739	0.261	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.739	0.261	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.739	0.261	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.739	0.261	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.739	0.261	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.739	0.261	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.738	0.262	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.737	0.263	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.736	0.263	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.736	0.264	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.736	0.264	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.735	0.265	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.735	0.265	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.734	0.265	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.734	0.266	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.734	0.266	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.734	0.266	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.734	0.266	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.733	0.267	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.732	0.268	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.732	0.268	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.732	0.268	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.731	0.268	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.731	0.269	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.731	0.269	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.731	0.269	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.730	0.270	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.729	0.271	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.729	0.271	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.729	0.271	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.728	0.271	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.728	0.272	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.728	0.272	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.728	0.272	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.728	0.272	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.728	0.272	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.727	0.273	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.727	0.273	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.727	0.273	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.727	0.273	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.727	0.273	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.726	0.274	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.726	0.274	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.725	0.275	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.725	0.275	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.724	0.276	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.724	0.276	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.724	0.276	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.724	0.276	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.724	0.276	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.723	0.277	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.723	0.277	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.723	0.277	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.723	0.277	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.722	0.278	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.722	0.278	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.722	0.278	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.721	0.279	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.721	0.279	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.721	0.279	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.721	0.279	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.720	0.280	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.720	0.280	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.720	0.280	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.720	0.280	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.719	0.280	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.719	0.281	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.719	0.281	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.719	0.281	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.718	0.282	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.718	0.282	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.717	0.283	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.717	0.283	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.716	0.283	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.716	0.284	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.716	0.284	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.716	0.284	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.716	0.284	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.715	0.285	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.715	0.285	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.714	0.286	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.714	0.286	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.714	0.286	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.714	0.286	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.714	0.286	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.713	0.287	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.713	0.287	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.713	0.287	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.712	0.288	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.712	0.288	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.712	0.288	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.711	0.289	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.711	0.289	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.711	0.289	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.710	0.290	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.710	0.290	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.709	0.291	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.708	0.292	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.708	0.292	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.708	0.292	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.708	0.292	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.708	0.292	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.708	0.292	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.707	0.293	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.707	0.293	0.000
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rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.671	0.328	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.671	0.329	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.671	0.329	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.671	0.329	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.671	0.329	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.671	0.329	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.671	0.329	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.671	0.329	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.670	0.330	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.670	0.330	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.669	0.330	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.669	0.331	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.669	0.331	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.669	0.331	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.669	0.331	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.669	0.331	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.669	0.331	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.669	0.331	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.669	0.331	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.669	0.331	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.669	0.331	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.668	0.331	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.668	0.331	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.668	0.332	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.668	0.332	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.668	0.332	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.668	0.332	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.668	0.332	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.668	0.332	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.668	0.332	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.668	0.332	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.668	0.332	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.667	0.332	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.667	0.332	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.667	0.333	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.667	0.333	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.667	0.333	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.667	0.333	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.667	0.333	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.667	0.333	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.667	0.333	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.666	0.333	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.666	0.334	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.666	0.334	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.666	0.334	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.666	0.334	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.666	0.334	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.666	0.334	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.666	0.334	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.666	0.334	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.665	0.334	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.665	0.335	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.665	0.335	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.665	0.335	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.665	0.335	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.665	0.335	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.665	0.335	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.665	0.335	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.665	0.335	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.665	0.335	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.664	0.336	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.664	0.336	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.664	0.336	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.664	0.336	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.664	0.336	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.664	0.336	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.664	0.336	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.664	0.336	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.664	0.336	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.663	0.337	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.663	0.337	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.663	0.337	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.663	0.337	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.663	0.337	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.663	0.337	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.663	0.337	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.662	0.338	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.662	0.338	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.662	0.338	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.662	0.338	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.662	0.338	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.662	0.338	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.662	0.338	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.662	0.338	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.661	0.339	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.661	0.339	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.661	0.339	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.661	0.339	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.661	0.339	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.661	0.339	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.661	0.339	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.661	0.339	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.661	0.339	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.661	0.339	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.661	0.339	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.660	0.340	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.660	0.340	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.660	0.340	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.660	0.340	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

0.6939

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4924

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9971

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9922

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9909

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9870

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9841

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9764

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9704

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9691

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9604

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9597

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9575

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9575

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9571

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9512

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9491

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9456

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9389

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9331

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9329

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9316

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9281

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9265

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9226

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9225

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9109

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9063

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9056

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9047

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9033

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9032

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9024

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9006

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8969

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8968

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8939

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8930

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8921

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8914

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8890

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8841

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8819

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8758

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8754

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8744

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8706

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8705

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8655

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8640

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8636

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8633

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8618

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8582

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8577

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8554

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8547

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8540

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8501

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8496

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8455

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8427

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8414

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8408

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8399

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8387

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8326

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8273

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8251

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8249

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8235

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8217

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8212

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8206

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8183

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8164

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8133

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8087

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8084

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7994

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7972

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7946

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7927

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7895

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7895

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7852

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7837

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7837

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7815

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7807

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7799

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7789

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7772

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7743

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7724

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7718

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7665

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7662

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7660

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7573

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7565

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7543

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7531

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7524

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7490

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7468

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7444

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7378

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7372

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7323

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7321

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7293

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7281

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7278

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7258

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7256

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7209

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7207

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7163

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7156

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7152

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7132

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7099

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7092

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7059

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7042

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7039

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7031

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6971

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6971

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6963

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6959

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6955

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6953

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6904

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6894

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6891

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6790

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6764

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6750

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6663

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6659

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6658

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6656

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6616

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6607

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6594

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6498

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6489

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6453

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6353

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6347

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6311

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6309

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6306

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6268

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6228

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6211

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6093

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6028

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5887

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5877

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5818

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5759

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5757

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5736

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5596

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5542

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5501

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5491

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5269

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5255

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5187

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5155

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5130

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5116

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5107

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5022

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4977

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4972

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4932

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4890

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4803

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4798

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4796

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4690

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4655

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4647

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4569

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4509

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4477

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4417

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4248

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4161

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4161

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4060

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4012

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.4003

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3670

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3566

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3496

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3398

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3232

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2687

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2513

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2421

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2320

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2276

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2243

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1468

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1368

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1307

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1224

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1043

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0863

Cluster X0160

log Bayes Factor = 99.5328

contains 9 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)

Hospitalization Episode Statistics (`HES`)