TreeWAS – [S00.4] Superficial injury of ear

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
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.852	0.148	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.834	0.166	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.829	0.171	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.828	0.172	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.827	0.173	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.825	0.175	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.821	0.179	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.817	0.183	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.812	0.188	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.811	0.189	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.809	0.191	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.805	0.195	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.800	0.200	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.799	0.201	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.203	0.797
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.796	0.204	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.794	0.206	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.784	0.216	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.774	0.226	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.769	0.231	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.766	0.234	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.764	0.236	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.759	0.241	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.758	0.242	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.755	0.245	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.750	0.249	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.750	0.250	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.745	0.255	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.745	0.255	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.744	0.256	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.739	0.261	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.735	0.265	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.731	0.269	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.723	0.277	0.000
rs12046289 lBF = `24.5034` Chr`1` : `114,451,386`	0.722	0.278	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.718	0.282	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.716	0.284	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.716	0.284	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.715	0.285	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.714	0.285	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.714	0.286	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.714	0.286	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.713	0.287	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.713	0.287	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.712	0.288	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.711	0.289	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.711	0.289	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.711	0.289	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.711	0.289	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.711	0.289	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.711	0.289	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.710	0.290	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.709	0.291	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.708	0.291	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.708	0.292	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.708	0.292	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.708	0.292	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.707	0.292	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.707	0.293	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.706	0.293	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.706	0.294	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.706	0.294	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.706	0.294	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.705	0.295	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.705	0.295	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.705	0.295	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.704	0.295	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.703	0.296	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.703	0.297	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.703	0.297	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.703	0.297	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.702	0.298	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.702	0.298	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.702	0.298	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.702	0.298	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.702	0.298	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.702	0.298	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.702	0.298	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.701	0.299	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.701	0.299	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.701	0.299	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.700	0.300	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.700	0.300	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.700	0.300	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.700	0.300	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.700	0.300	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.699	0.301	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.698	0.301	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.698	0.302	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.698	0.302	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.698	0.302	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.697	0.302	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.697	0.303	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.697	0.303	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.697	0.303	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.696	0.304	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.696	0.304	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.696	0.304	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.696	0.304	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.696	0.304	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.695	0.304	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.695	0.305	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.695	0.305	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.695	0.305	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.694	0.305	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.694	0.306	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.694	0.306	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.693	0.306	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.693	0.306	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.693	0.307	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.693	0.307	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.692	0.307	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.692	0.308	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.692	0.308	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.691	0.308	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.691	0.309	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.691	0.309	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.691	0.309	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.691	0.309	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.690	0.310	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.690	0.310	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.690	0.310	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.689	0.310	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.689	0.311	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.689	0.311	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.689	0.311	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.689	0.311	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.689	0.311	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.689	0.311	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.689	0.311	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.689	0.311	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.689	0.311	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.688	0.312	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.688	0.312	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.688	0.312	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.688	0.312	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.688	0.312	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.688	0.312	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.688	0.312	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.687	0.313	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.687	0.313	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.687	0.313	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.687	0.313	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.687	0.313	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.687	0.313	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.687	0.313	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.686	0.313	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.686	0.314	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.686	0.314	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.686	0.314	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.686	0.314	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.685	0.315	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.685	0.315	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.685	0.315	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.685	0.315	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.684	0.315	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.684	0.316	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.684	0.316	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.684	0.316	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.683	0.317	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.683	0.317	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.683	0.317	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.683	0.317	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.683	0.317	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.683	0.317	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.683	0.317	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.683	0.317	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.683	0.317	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.681	0.319	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.681	0.319	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.681	0.319	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.681	0.319	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.681	0.319	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.681	0.319	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.680	0.320	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.680	0.320	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.680	0.320	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.680	0.320	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.680	0.320	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.679	0.320	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.679	0.321	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.679	0.321	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.679	0.321	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.679	0.321	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.679	0.321	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.678	0.321	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.678	0.322	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.678	0.322	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.678	0.322	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.678	0.322	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.678	0.322	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.677	0.323	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.677	0.323	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.677	0.323	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.677	0.323	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.676	0.323	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.676	0.324	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.676	0.324	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.676	0.324	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.676	0.324	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.675	0.325	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.675	0.325	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.675	0.325	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.675	0.325	0.000
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rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.637	0.363	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.637	0.363	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.636	0.364	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.636	0.364	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.364	0.636
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.635	0.364	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.635	0.365	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.635	0.365	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.635	0.365	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.635	0.365	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.635	0.365	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.635	0.365	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.634	0.366	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.634	0.366	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.634	0.366	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.634	0.366	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.634	0.366	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.634	0.366	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.633	0.367	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.633	0.367	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.633	0.367	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.632	0.368	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.632	0.368	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.632	0.368	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.632	0.368	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.632	0.368	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.632	0.368	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.632	0.368	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.632	0.368	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.632	0.368	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.632	0.368	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.631	0.369	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.631	0.369	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.631	0.369	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.631	0.369	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.631	0.369	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.631	0.369	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.630	0.370	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.630	0.370	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.630	0.370	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.630	0.370	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.629	0.371	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.629	0.371	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.629	0.371	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.628	0.371	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.628	0.372	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.628	0.372	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.628	0.372	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.628	0.372	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.628	0.372	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.627	0.373	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.627	0.373	0.000
rs115277907 lBF = `44.632` Chr`6` : `31,901,090`	0.627	0.373	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.627	0.373	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.627	0.373	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.626	0.374	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.626	0.374	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.626	0.374	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.626	0.374	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.626	0.374	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.626	0.374	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.625	0.375	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.625	0.375	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.624	0.375	0.000
rs2005108 lBF = `1.55637` Chr`11` : `102,770,353`	0.624	0.376	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.624	0.376	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.624	0.376	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.000	0.376	0.624
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.624	0.376	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.623	0.377	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.623	0.377	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.623	0.377	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.623	0.377	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.623	0.377	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.623	0.377	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.622	0.377	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.622	0.378	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.622	0.378	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.622	0.378	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.622	0.378	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.622	0.378	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.621	0.378	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.621	0.379	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.621	0.379	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.620	0.379	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.620	0.380	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.620	0.380	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.620	0.380	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.000	0.380	0.620
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.620	0.380	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.620	0.380	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.620	0.380	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.620	0.380	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.620	0.380	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

0.6231

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3484

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.1189

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9877

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9120

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8974

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8728

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8686

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8570

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8389

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8376

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8165

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8076

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7886

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7830

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7805

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7693

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7537

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7453

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7384

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7294

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7168

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7168

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7168

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7168

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7168

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7167

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7167

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7166

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7166

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7166

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7165

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7164

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7164

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7164

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7162

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7160

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7159

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7158

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7156

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7155

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7151

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7150

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7139

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7136

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7130

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7130

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7120

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7120

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7114

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7113

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7108

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7090

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7077

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7056

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7045

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7037

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7036

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7024

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7017

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6987

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6953

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6939

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6920

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6914

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6912

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6907

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6881

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6831

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 X0098

log Bayes Factor = 246.226

contains 8 variants

0.6783

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6730

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6712

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6708

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6653

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6622

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6612

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6558

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6532

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6527

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6514

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6467

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6430

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 X0110

log Bayes Factor = 721.325

contains 13 variants

0.6380

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6374

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6337

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6262

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6252

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6223

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6205

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6133

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6122

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6109

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6104

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6095

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5990

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5945

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5929

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5911

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5893

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5873

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5847

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5837

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5745

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5741

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5690

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5654

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5614

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5589

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5548

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5366

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5278

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5255

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5255

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5206

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5201

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5139

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5101

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5096

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4982

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4981

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4926

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4828

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4802

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4610

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4521

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4455

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4405

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4371

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4296

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4245

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4103

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4090

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4068

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4002

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3990

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3962

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3941

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3764

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 X0020

log Bayes Factor = 557.721

contains 18 variants

0.3432

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3207

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3043

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2852

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2672

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2625

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2552

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2543

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2488

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2249

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2193

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2148

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1862

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1858

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1843

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1827

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1598

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1517

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1416

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1413

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1240

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1083

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1033

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0963

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0891

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0826

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0802

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0791

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0639

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0586

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`)