TreeWAS – [L89.1] Stage II decubitus ulcer

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
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	0.987	0.013	0.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	0.977	0.023	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.975	0.025	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.973	0.027	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	0.971	0.029	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.969	0.031	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.968	0.032	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.966	0.034	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.965	0.035	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.964	0.036	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.964	0.036	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.960	0.040	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.958	0.042	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.955	0.045	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.953	0.047	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.952	0.048	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.948	0.052	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.943	0.057	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.939	0.061	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.932	0.068	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	0.932	0.068	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.927	0.073	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.922	0.078	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.899	0.101	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.889	0.111	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.887	0.113	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.878	0.122	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.877	0.123	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.876	0.124	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.876	0.124	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.875	0.125	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.868	0.132	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.866	0.134	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.863	0.137	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	0.858	0.142	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.842	0.158	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.842	0.158	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.841	0.159	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.841	0.159	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.838	0.162	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.833	0.167	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.829	0.171	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.827	0.173	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.827	0.173	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.826	0.174	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.825	0.175	0.000
rs10212419 lBF = `1.19271` Chr`3` : `139,004,920`	0.000	0.177	0.823
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.822	0.178	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.822	0.178	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.819	0.181	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.817	0.183	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.815	0.185	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.815	0.185	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.813	0.187	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.813	0.187	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.812	0.188	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.808	0.192	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.808	0.192	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.803	0.197	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.794	0.206	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.792	0.208	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.790	0.210	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.788	0.212	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.787	0.213	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.787	0.213	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.786	0.214	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.786	0.214	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.785	0.215	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.785	0.215	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.783	0.217	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.781	0.219	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.779	0.221	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.779	0.221	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.778	0.222	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.777	0.223	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.777	0.223	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.777	0.223	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.775	0.225	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.770	0.230	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.770	0.230	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.769	0.231	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.768	0.232	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.766	0.234	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.764	0.235	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.764	0.236	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.763	0.237	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.757	0.243	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.756	0.244	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.755	0.245	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.753	0.247	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.752	0.248	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.751	0.249	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.750	0.249	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.749	0.251	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.747	0.253	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.744	0.256	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.739	0.261	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.739	0.261	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.736	0.264	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.735	0.265	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.735	0.265	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.733	0.266	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.733	0.267	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.731	0.269	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.730	0.270	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.729	0.271	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.728	0.272	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.726	0.274	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.726	0.274	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.725	0.275	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.725	0.275	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.723	0.277	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.722	0.278	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.721	0.279	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.720	0.280	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.716	0.284	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.715	0.285	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.714	0.286	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.712	0.288	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.709	0.291	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.708	0.292	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.708	0.292	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.708	0.292	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.705	0.295	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.704	0.296	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.702	0.298	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.701	0.299	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.701	0.299	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.700	0.300	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.699	0.301	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.699	0.301	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.699	0.301	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.699	0.301	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.698	0.302	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.696	0.304	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.694	0.306	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.694	0.306	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.692	0.308	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.691	0.309	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.691	0.309	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.691	0.309	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.688	0.312	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.687	0.312	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.687	0.313	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.687	0.313	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.684	0.315	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.684	0.316	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.684	0.316	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.683	0.317	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.682	0.318	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.682	0.318	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.680	0.320	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.680	0.320	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.679	0.321	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.678	0.322	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.677	0.323	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.676	0.324	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.676	0.324	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.676	0.324	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.675	0.325	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.675	0.325	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.674	0.326	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.674	0.326	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.671	0.329	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.670	0.330	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.670	0.330	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.670	0.330	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.669	0.331	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.669	0.331	0.000
rs805293 lBF = `115.956` Chr`6` : `31,688,518`	0.000	0.333	0.667
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.667	0.333	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.667	0.333	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.667	0.333	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.666	0.334	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.665	0.335	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.663	0.337	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.663	0.337	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.663	0.337	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.663	0.337	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.662	0.338	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.662	0.338	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.659	0.341	0.000
rs2050188 lBF = `209.683` Chr`6` : `32,339,897`	0.000	0.341	0.659
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.659	0.341	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.657	0.342	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.657	0.343	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.656	0.344	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.654	0.346	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.654	0.346	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.653	0.347	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.652	0.348	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.651	0.348	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.651	0.349	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.651	0.349	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.650	0.349	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.650	0.350	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.650	0.350	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.650	0.350	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.649	0.351	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.352	0.648
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.646	0.354	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.646	0.354	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.645	0.355	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.644	0.356	0.000
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rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.557	0.443	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.557	0.443	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.556	0.444	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.556	0.444	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.556	0.444	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.555	0.445	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.555	0.445	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.555	0.445	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.554	0.446	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.554	0.446	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.553	0.447	0.000
rs5026743 lBF = `300.008` Chr`6` : `32,439,964`	0.000	0.447	0.553
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.553	0.447	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.553	0.447	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.553	0.447	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.553	0.447	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.552	0.448	0.000
rs9461741 lBF = `0.79149` Chr`6` : `32,370,587`	0.552	0.448	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.552	0.448	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.552	0.448	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.551	0.449	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.550	0.449	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.550	0.450	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.550	0.450	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.550	0.450	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.550	0.450	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.550	0.450	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.550	0.450	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.549	0.451	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.549	0.451	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.549	0.451	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.548	0.452	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.548	0.452	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.548	0.452	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.547	0.453	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.547	0.453	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.546	0.453	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.546	0.454	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.546	0.454	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.546	0.454	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.545	0.455	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.545	0.455	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.545	0.455	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.545	0.455	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.544	0.456	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.544	0.456	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.544	0.456	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.544	0.456	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.543	0.456	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.543	0.457	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.543	0.457	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.543	0.457	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.542	0.458	0.000
rs707938 lBF = `236.606` Chr`6` : `31,729,359`	0.542	0.458	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.542	0.458	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.542	0.458	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.542	0.458	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.542	0.458	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.542	0.458	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.541	0.459	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.541	0.459	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.541	0.459	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.539	0.460	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.539	0.461	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.539	0.461	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.539	0.461	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.539	0.461	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.539	0.461	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.539	0.461	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.538	0.462	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.538	0.462	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.537	0.463	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.537	0.463	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.537	0.463	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.536	0.464	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.536	0.464	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.536	0.464	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.534	0.465	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.534	0.465	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.534	0.466	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.534	0.466	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.534	0.466	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.533	0.467	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.532	0.467	0.000
rs28367687 lBF = `10.6064` Chr`6` : `31,275,211`	0.000	0.467	0.533
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.532	0.467	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.532	0.468	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.532	0.468	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.531	0.469	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.531	0.469	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.531	0.469	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.531	0.469	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.530	0.470	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.530	0.470	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

0.2190

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1380

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9996

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9995

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9993

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9990

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9962

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9952

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9947

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9941

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9930

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9918

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9880

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9876

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9866

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9858

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9847

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9840

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9828

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9807

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9803

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9797

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9791

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9778

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9759

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9713

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9706

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9686

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9646

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9633

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9617

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9609

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9576

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9547

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9545

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9522

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9515

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9453

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9444

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9414

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9306

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9297

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9280

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9275

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9225

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9186

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9089

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9023

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8973

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8941

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8915

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8816

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8714

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8703

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8640

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8556

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8540

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8468

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8105

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8083

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8076

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8047

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7837

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7816

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7797

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7779

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7758

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7563

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7435

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7413

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7301

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7261

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7171

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6938

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6514

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6480

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6470

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6464

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6449

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6345

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6262

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6198

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6187

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6173

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6172

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6144

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6022

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5495

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5441

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5381

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5354

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5236

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5162

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5039

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4953

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4812

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4415

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4353

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4331

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4331

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4305

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4109

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4045

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3930

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3913

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3820

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3783

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3745

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3724

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3690

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3637

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3626

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3413

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3371

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3184

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3063

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3034

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2964

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2916

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2878

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2751

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2493

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2421

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2236

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2151

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2104

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2050

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1936

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1924

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1812

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1780

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1684

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1678

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1638

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1635

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1625

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1409

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1240

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1047

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0944

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0924

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0922

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0904

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0844

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0820

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0794

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0773

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0711

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0688

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0655

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0604

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0525

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0508

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`)