TreeWAS – [S00.7] Multiple superficial injuries of head

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
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.888	0.112	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.874	0.126	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.860	0.140	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.853	0.147	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.849	0.151	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.848	0.152	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.848	0.152	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.847	0.153	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.845	0.155	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.843	0.157	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.839	0.160	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.836	0.164	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.831	0.169	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.830	0.170	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.827	0.173	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.824	0.176	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.819	0.181	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.814	0.186	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.811	0.189	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.000	0.190	0.810
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.804	0.196	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.799	0.201	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.000	0.202	0.798
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.798	0.202	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.796	0.203	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.796	0.204	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.000	0.207	0.793
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.792	0.208	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.791	0.209	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.791	0.209	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.791	0.209	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.791	0.209	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.790	0.210	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.785	0.215	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.783	0.217	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.781	0.219	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.781	0.219	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.780	0.220	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.780	0.220	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.780	0.220	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.780	0.220	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.778	0.222	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.774	0.226	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.774	0.226	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.000	0.227	0.773
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.773	0.227	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.772	0.228	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.771	0.229	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.771	0.229	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.771	0.229	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.771	0.229	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.769	0.231	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.769	0.231	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.768	0.232	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.768	0.232	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.768	0.232	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.767	0.233	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.767	0.233	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.767	0.233	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.764	0.236	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.764	0.236	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.763	0.237	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.763	0.237	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.762	0.238	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.761	0.239	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.761	0.239	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.761	0.239	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.760	0.240	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.760	0.240	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.758	0.242	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.758	0.242	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.755	0.245	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.755	0.245	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.754	0.246	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.754	0.246	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.753	0.247	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.753	0.247	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.753	0.247	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.752	0.248	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.752	0.248	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.752	0.248	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.752	0.248	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.749	0.251	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.749	0.251	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.749	0.251	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.749	0.251	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.749	0.251	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.747	0.253	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.747	0.253	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.746	0.254	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.745	0.255	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.745	0.255	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.744	0.256	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.744	0.256	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.744	0.256	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.742	0.258	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.741	0.259	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.741	0.259	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.739	0.261	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.261	0.739
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.738	0.262	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.738	0.262	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.738	0.262	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.736	0.264	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.736	0.264	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.735	0.265	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.735	0.265	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.734	0.266	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.734	0.266	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.734	0.266	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.733	0.267	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.733	0.267	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.732	0.268	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.732	0.268	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.731	0.269	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.731	0.269	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.730	0.270	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.730	0.270	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.729	0.271	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.729	0.271	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.728	0.272	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.728	0.272	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.727	0.273	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.727	0.273	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.727	0.273	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.726	0.274	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.726	0.274	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.726	0.274	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.725	0.275	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.724	0.276	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.724	0.276	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.724	0.276	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.724	0.276	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.723	0.277	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.722	0.278	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.722	0.278	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.722	0.278	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.721	0.279	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.720	0.280	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.720	0.280	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.719	0.281	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.718	0.282	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.718	0.282	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.718	0.282	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.718	0.282	0.000
rs3869132 lBF = `110.641` Chr`6` : `31,410,948`	0.000	0.282	0.718
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.717	0.283	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.717	0.283	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.716	0.284	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.716	0.284	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.716	0.284	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.715	0.285	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.715	0.285	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.714	0.286	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.714	0.286	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.714	0.286	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.714	0.286	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.713	0.287	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.713	0.287	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.713	0.287	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.713	0.287	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.713	0.287	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.712	0.288	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.712	0.288	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.712	0.288	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.712	0.288	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.288	0.712
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.711	0.289	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.711	0.289	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.711	0.289	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.711	0.289	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.711	0.289	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.711	0.289	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.710	0.290	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.710	0.290	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.710	0.290	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.710	0.290	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.708	0.292	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.708	0.292	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.707	0.293	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.707	0.293	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.707	0.293	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.706	0.294	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.706	0.294	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.706	0.294	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.705	0.295	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.705	0.295	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.705	0.295	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.705	0.295	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.704	0.296	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.704	0.296	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.704	0.296	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.704	0.296	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.704	0.296	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.703	0.296	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.703	0.297	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.702	0.298	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.702	0.298	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.702	0.298	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.702	0.298	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.701	0.299	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.701	0.299	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.701	0.299	0.000
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rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.653	0.347	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.653	0.347	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.653	0.347	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.652	0.347	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.652	0.347	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.652	0.347	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.652	0.348	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.652	0.348	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.652	0.348	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.651	0.348	0.000
rs4696584 lBF = `0.72602` Chr`4` : `155,397,517`	0.651	0.349	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.651	0.349	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.651	0.349	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.651	0.349	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.651	0.349	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.651	0.349	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.650	0.349	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.650	0.349	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.650	0.349	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.650	0.350	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.650	0.350	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.650	0.350	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.650	0.350	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.650	0.350	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.650	0.350	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.650	0.350	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.650	0.350	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.649	0.350	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.649	0.351	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.649	0.351	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.649	0.351	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.649	0.351	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.649	0.351	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.648	0.351	0.000
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.648	0.351	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.648	0.352	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.648	0.352	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.648	0.352	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.648	0.352	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.648	0.352	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.647	0.353	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.647	0.353	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.646	0.353	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.646	0.354	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.646	0.354	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.646	0.354	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.646	0.354	0.000
rs17207370 lBF = `31.3786` Chr`6` : `31,678,691`	0.645	0.354	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.645	0.355	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.645	0.355	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.645	0.355	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.645	0.355	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.645	0.355	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.645	0.355	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.644	0.356	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.644	0.356	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.644	0.356	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.644	0.356	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.643	0.357	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.643	0.357	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.642	0.357	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.642	0.357	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.642	0.357	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.642	0.358	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.642	0.358	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.642	0.358	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.642	0.358	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.641	0.358	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.641	0.359	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.641	0.359	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.641	0.359	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.641	0.359	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.641	0.359	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.641	0.359	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.641	0.359	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.641	0.359	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.640	0.360	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.640	0.360	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.640	0.360	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.639	0.360	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.639	0.360	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.638	0.361	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.638	0.362	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.638	0.362	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.638	0.362	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.638	0.362	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.638	0.362	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.638	0.362	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.637	0.363	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.637	0.363	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.637	0.363	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.636	0.364	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.636	0.364	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.636	0.364	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.636	0.364	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

0.7428

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3484

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.1089

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9993

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9842

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9748

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9713

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9690

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9642

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9641

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9623

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9591

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9470

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9408

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9362

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9327

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9293

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9253

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9246

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9243

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9233

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9216

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9197

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9160

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9128

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9104

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9091

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9067

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9057

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9050

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8981

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8975

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8968

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8943

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8930

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8917

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8848

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8845

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8823

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8789

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8718

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8699

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8686

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8676

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8661

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8543

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8527

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8509

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8444

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8413

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8400

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8376

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8359

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8301

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8300

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8256

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8239

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8239

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8235

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8234

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8188

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8162

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8150

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8092

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8051

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8049

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8026

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7921

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7906

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7902

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7843

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7812

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7804

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7718

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7635

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7618

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7582

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7577

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7517

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7506

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7461

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7251

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7235

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7202

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7166

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7166

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7159

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7159

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7156

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7150

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7120

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7090

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7064

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7064

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7063

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7037

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7036

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6981

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6980

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6903

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6825

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6820

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6806

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6768

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6765

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6701

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6697

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6664

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6601

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6561

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6452

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6424

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6380

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6376

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6321

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6313

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6310

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6240

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6236

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6197

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6178

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6140

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6011

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5893

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5821

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5758

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5733

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5652

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5626

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5547

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5547

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5466

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5409

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5366

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5357

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5255

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5229

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5206

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5131

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5035

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4920

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4793

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4668

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4642

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4638

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4610

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4610

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4534

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4521

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4521

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4446

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4405

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4354

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4151

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3962

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3927

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3585

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3534

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3207

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2916

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2769

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2714

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2667

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2621

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2536

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2392

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2148

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1791

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1789

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1646

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1445

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1339

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1318

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1304

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1111

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1046

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1023

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0998

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0737

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0723

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0651

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0596

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0513

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`)