TreeWAS – [C67.4] Posterior wall of bladder

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
rs31489 lBF = `53.5032` Chr`5` : `1,342,714`	0.000	0.001	0.999
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.003	0.997
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.004	0.996
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.005	0.995
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.007	0.993
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.008	0.992
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.009	0.991
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.986	0.014	0.000
rs402710 lBF = `32.4629` Chr`5` : `1,320,722`	0.000	0.016	0.984
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.977	0.023	0.000
rs2736098 lBF = `34.4547` Chr`5` : `1,294,086`	0.977	0.023	0.000
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.977	0.023	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.976	0.024	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.968	0.032	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.960	0.040	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.960	0.040	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.957	0.043	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.956	0.044	0.000
rs1799796 lBF = `7.32489` Chr`14` : `104,165,927`	0.955	0.045	0.000
rs4906356 lBF = `7.54691` Chr`14` : `104,138,701`	0.954	0.046	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.944	0.056	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.000	0.078	0.922
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.911	0.089	0.000
rs7034200 lBF = `2.08621` Chr`9` : `4,289,050`	0.910	0.090	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.091	0.909
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.900	0.100	0.000
rs12887734 lBF = `2.62934` Chr`14` : `104,046,834`	0.897	0.103	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.895	0.105	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.110	0.890
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.890	0.110	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.886	0.114	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.880	0.120	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.876	0.124	0.000
rs710521 lBF = `1.02237` Chr`3` : `189,645,933`	0.000	0.125	0.875
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.872	0.128	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.871	0.129	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.870	0.130	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.866	0.134	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.863	0.137	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.863	0.137	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.862	0.138	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.851	0.149	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.848	0.152	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.847	0.153	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.847	0.153	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.844	0.156	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.843	0.157	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.839	0.161	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.839	0.161	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.836	0.164	0.000
rs13192471 lBF = `84.1735` Chr`6` : `32,671,103`	0.000	0.164	0.836
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.835	0.165	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.171	0.829
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.828	0.172	0.000
rs17588027 lBF = `5.22086` Chr`2` : `195,753,154`	0.827	0.173	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.827	0.173	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.826	0.174	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.825	0.175	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.825	0.175	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.825	0.175	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.824	0.176	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.824	0.176	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.823	0.177	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.821	0.179	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.820	0.180	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.820	0.180	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.818	0.182	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.816	0.184	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.813	0.187	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.813	0.187	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.812	0.188	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.809	0.191	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.808	0.192	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	0.194	0.806
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.806	0.194	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.804	0.196	0.000
rs4927850 lBF = `1.2555` Chr`3` : `195,751,630`	0.000	0.196	0.804
rs140584594 lBF = `14.6193` Chr`1` : `110,232,983`	0.000	0.197	0.803
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.802	0.198	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.802	0.198	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.801	0.199	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.797	0.203	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.797	0.203	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.796	0.204	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.794	0.206	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.793	0.207	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.792	0.208	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.789	0.211	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.788	0.212	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.788	0.212	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.787	0.213	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.786	0.214	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.784	0.216	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.783	0.217	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.783	0.217	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.783	0.217	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.782	0.218	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.781	0.219	0.000
rs798766 lBF = `3.92974` Chr`4` : `1,734,239`	0.000	0.220	0.780
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.778	0.222	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.778	0.222	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.778	0.222	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.777	0.223	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.777	0.223	0.000
rs514716 lBF = `0.811812` Chr`9` : `3,929,424`	0.000	0.224	0.776
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.773	0.227	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.771	0.229	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.768	0.232	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.767	0.233	0.000
rs7020673 lBF = `0.904211` Chr`9` : `4,291,747`	0.767	0.233	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.766	0.234	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.765	0.235	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.764	0.236	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.764	0.236	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.763	0.237	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.761	0.239	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.760	0.240	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.760	0.240	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.759	0.241	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.758	0.242	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.757	0.243	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.754	0.246	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.753	0.247	0.000
rs9383938 lBF = `4.23359` Chr`6` : `151,987,357`	0.749	0.251	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.748	0.252	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.747	0.253	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.746	0.254	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.744	0.256	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.744	0.256	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.741	0.259	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.740	0.260	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.740	0.260	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.739	0.261	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.736	0.264	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.736	0.264	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.735	0.265	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.734	0.266	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.734	0.266	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.732	0.268	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.730	0.270	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.729	0.271	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.729	0.271	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.727	0.273	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.727	0.273	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.724	0.275	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.724	0.276	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.724	0.276	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.722	0.278	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.722	0.278	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.720	0.280	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.719	0.280	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.718	0.282	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.717	0.283	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.717	0.283	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.717	0.283	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.717	0.283	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.717	0.283	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.716	0.284	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.716	0.284	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.715	0.285	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.715	0.285	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.713	0.287	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.713	0.287	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.712	0.288	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.712	0.288	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.712	0.288	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.711	0.289	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.711	0.289	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.710	0.290	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.709	0.291	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.708	0.292	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.708	0.292	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.707	0.293	0.000
rs9276826 lBF = `16.7625` Chr`6` : `32,830,568`	0.000	0.294	0.706
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.705	0.294	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.705	0.295	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.705	0.295	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.705	0.295	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.705	0.295	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.704	0.296	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.703	0.297	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.702	0.298	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.702	0.298	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.701	0.299	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.701	0.299	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.701	0.299	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.700	0.300	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.700	0.300	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.699	0.300	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.699	0.301	0.000
rs1545552 lBF = `1.57281` Chr`2` : `33,360,338`	0.000	0.302	0.698
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.697	0.303	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.697	0.303	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.697	0.303	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.697	0.303	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.696	0.304	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.000	0.304	0.696
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.693	0.307	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.693	0.307	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.693	0.307	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.692	0.307	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.691	0.309	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.690	0.310	0.000
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rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.401	0.599
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.599	0.401	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.599	0.401	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.599	0.401	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.598	0.402	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.598	0.402	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.597	0.403	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.597	0.403	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.597	0.403	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.597	0.403	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.597	0.403	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.596	0.404	0.000
rs527409 lBF = `0.599652` Chr`1` : `58,757,915`	0.000	0.405	0.595
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.595	0.405	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.000	0.406	0.594
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.594	0.406	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.594	0.406	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.593	0.406	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.593	0.407	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.592	0.408	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.592	0.408	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.592	0.408	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.592	0.408	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.591	0.408	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.591	0.408	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.591	0.409	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.591	0.409	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.591	0.409	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.590	0.410	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.590	0.410	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.590	0.410	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.589	0.411	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.589	0.411	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.589	0.411	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.588	0.412	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.588	0.412	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.588	0.412	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.588	0.412	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.587	0.412	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.587	0.413	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.587	0.413	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.586	0.414	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.586	0.414	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.585	0.415	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.585	0.415	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.585	0.415	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.584	0.415	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.584	0.416	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.583	0.417	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.583	0.417	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.417	0.583
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.582	0.418	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.582	0.418	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.582	0.418	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.582	0.418	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.582	0.418	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.582	0.418	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.582	0.418	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.581	0.418	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.581	0.419	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.581	0.419	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.581	0.419	0.000
rs1505771 lBF = `1.43363` Chr`4` : `145,238,985`	0.000	0.419	0.581
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.580	0.419	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.580	0.420	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.580	0.420	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.580	0.420	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.580	0.420	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.579	0.421	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.578	0.422	0.000
rs11622887 lBF = `0.565548` Chr`14` : `95,942,447`	0.000	0.423	0.577
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.577	0.423	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.577	0.423	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.577	0.423	0.000
rs4256190 lBF = `1.37883` Chr`4` : `145,236,426`	0.000	0.424	0.576
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.576	0.424	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.576	0.424	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.424	0.576
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.575	0.424	0.000
rs6854014 lBF = `1.36499` Chr`4` : `145,236,237`	0.000	0.425	0.575
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.575	0.425	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.575	0.425	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.575	0.425	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.574	0.426	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.573	0.426	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.573	0.427	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.573	0.427	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.572	0.428	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.572	0.428	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.571	0.429	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.571	0.429	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.571	0.429	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.571	0.429	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.570	0.430	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.569	0.431	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9935

Cluster X0105

log Bayes Factor = 23.0031

contains 2 variants

0.5751

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5131

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3594

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9981

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.9963

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9899

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9888

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9877

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9854

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9821

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9806

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9766

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9745

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9669

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9588

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9572

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9491

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9491

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9467

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9456

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9449

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9440

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9382

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9374

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9373

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9313

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9300

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9286

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9255

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9252

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9180

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9097

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9073

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9026

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9015

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8987

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8985

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8960

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8937

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8907

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8871

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8846

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8834

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8830

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8809

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8808

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8745

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8741

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8631

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8586

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8516

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8509

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8483

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8447

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8423

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8335

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8322

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8271

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8189

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8056

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8045

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8029

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8021

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8020

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8014

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7950

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7899

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7890

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7861

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7806

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7665

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7627

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7627

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7618

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7582

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7569

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7544

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7537

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7516

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7509

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7371

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7354

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7323

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7312

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7209

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7199

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7194

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7086

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7017

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6968

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6963

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6898

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6897

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6829

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6777

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6727

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6713

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6696

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6672

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6613

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6514

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6498

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6386

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6115

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6099

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5965

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5843

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5774

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5715

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5631

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5481

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5467

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5401

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5251

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5146

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5058

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5050

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4937

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4852

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4773

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4757

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4757

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4744

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4723

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4691

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4637

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4618

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4579

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4311

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4094

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4086

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4066

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4002

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3855

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3805

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3740

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3577

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3565

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3551

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3429

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3407

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3335

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3307

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3290

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3198

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3119

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3078

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2925

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2762

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2620

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2528

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2374

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2348

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2194

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2177

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2153

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2142

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2061

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2059

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1949

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1946

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1930

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1881

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1746

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1665

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1628

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1593

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1514

Cluster X0316

log Bayes Factor = 72.3178

contains 4 variants

0.1512

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1456

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1422

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1285

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1152

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1132

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1103

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1055

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1003

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0873

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0848

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0699

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0666

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0609

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`)