TreeWAS – [C66] Malignant neoplasm of ureter

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	0.023	0.977
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.027	0.973
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.030	0.970
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.033	0.967
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.040	0.960
rs402710 lBF = `32.4629` Chr`5` : `1,320,722`	0.000	0.054	0.946
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.088	0.912
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.907	0.093	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.000	0.102	0.898
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.890	0.110	0.000
rs2736098 lBF = `34.4547` Chr`5` : `1,294,086`	0.878	0.122	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.876	0.124	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.875	0.125	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.869	0.131	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.869	0.131	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.867	0.133	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.134	0.866
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.865	0.135	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.848	0.152	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.842	0.158	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.841	0.159	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.837	0.163	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.833	0.167	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.832	0.168	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.831	0.169	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.828	0.172	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.826	0.174	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.822	0.178	0.000
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.820	0.180	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.819	0.181	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.818	0.182	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.817	0.183	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.816	0.184	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.815	0.184	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.813	0.187	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.812	0.188	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.812	0.188	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.810	0.190	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.809	0.191	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.807	0.193	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.804	0.196	0.000
rs17588027 lBF = `5.22086` Chr`2` : `195,753,154`	0.801	0.199	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.799	0.200	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.797	0.203	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.794	0.206	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.790	0.210	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.789	0.211	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.789	0.211	0.000
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.211	0.789
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.788	0.212	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.788	0.212	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.788	0.212	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.785	0.215	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.784	0.216	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.783	0.217	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.782	0.218	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.780	0.220	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.780	0.220	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.778	0.221	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.778	0.222	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.777	0.223	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.776	0.224	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.776	0.224	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.776	0.224	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.776	0.224	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.775	0.225	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.774	0.226	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.772	0.228	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.772	0.228	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.772	0.228	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.771	0.229	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.771	0.229	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.230	0.770
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.769	0.231	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.768	0.232	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.768	0.232	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.768	0.232	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.767	0.233	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.766	0.234	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.766	0.234	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.765	0.235	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.764	0.236	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.763	0.237	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.763	0.237	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.761	0.238	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.761	0.239	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.761	0.239	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.760	0.240	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.759	0.241	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.758	0.242	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.758	0.242	0.000
rs140584594 lBF = `14.6193` Chr`1` : `110,232,983`	0.000	0.242	0.758
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.758	0.242	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.756	0.244	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.756	0.244	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.756	0.244	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.756	0.244	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.755	0.245	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.755	0.245	0.000
rs6670062 lBF = `2.87632` Chr`1` : `247,261,125`	0.754	0.246	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.754	0.246	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.753	0.247	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.753	0.247	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.752	0.248	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.752	0.248	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.752	0.248	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.752	0.248	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.748	0.252	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.748	0.252	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.253	0.747
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.746	0.253	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.746	0.254	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.745	0.255	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.745	0.255	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.745	0.255	0.000
rs565229 lBF = `1.36315` Chr`11` : `122,189,465`	0.745	0.255	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.745	0.255	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.744	0.256	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.744	0.256	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.743	0.257	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.742	0.258	0.000
rs9383938 lBF = `4.23359` Chr`6` : `151,987,357`	0.742	0.258	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.742	0.258	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.741	0.259	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.740	0.259	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.740	0.260	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.739	0.261	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.739	0.261	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.738	0.262	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.738	0.262	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.737	0.263	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.737	0.263	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.737	0.263	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.736	0.264	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.736	0.264	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.736	0.264	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.736	0.264	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.736	0.264	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.735	0.265	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.735	0.265	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.734	0.266	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.733	0.266	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.733	0.267	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.733	0.267	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.733	0.267	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.732	0.268	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.732	0.268	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.731	0.269	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.731	0.269	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.731	0.269	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.730	0.270	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.730	0.270	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.272	0.728
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.728	0.272	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.728	0.272	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.727	0.272	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.727	0.272	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.725	0.275	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.725	0.275	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.725	0.275	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.724	0.275	0.000
rs514716 lBF = `0.811812` Chr`9` : `3,929,424`	0.000	0.276	0.724
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.724	0.276	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.724	0.276	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.723	0.277	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.723	0.277	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.723	0.277	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.723	0.277	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.722	0.277	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.722	0.278	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.721	0.279	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.718	0.281	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.717	0.283	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.717	0.283	0.000
rs588779 lBF = `8.03801` Chr`2` : `67,665,951`	0.716	0.284	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.715	0.285	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.715	0.285	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.714	0.286	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.714	0.286	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.713	0.287	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.713	0.287	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.713	0.287	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.713	0.287	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.713	0.287	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.713	0.287	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.712	0.287	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.712	0.288	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.712	0.288	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.712	0.288	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.712	0.288	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.711	0.288	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.711	0.289	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.711	0.289	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.710	0.289	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.710	0.290	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.710	0.290	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.710	0.290	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.710	0.290	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.710	0.290	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.709	0.291	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.709	0.291	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.709	0.291	0.000
rs11126117 lBF = `5.81076` Chr`2` : `67,479,214`	0.709	0.291	0.000
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rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.660	0.340	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.660	0.340	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.659	0.340	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.659	0.341	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.659	0.341	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.659	0.341	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.659	0.341	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.659	0.341	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.659	0.341	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.658	0.341	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.658	0.342	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.658	0.342	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.657	0.342	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.657	0.342	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.657	0.342	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.657	0.343	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.657	0.343	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.657	0.343	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.657	0.343	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.657	0.343	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.657	0.343	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.657	0.343	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.657	0.343	0.000
rs17391694 lBF = `1.85741` Chr`1` : `78,623,626`	0.656	0.344	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.656	0.344	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.656	0.344	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.655	0.345	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.655	0.345	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.655	0.345	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.655	0.345	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.654	0.345	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.654	0.346	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.654	0.346	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.654	0.346	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.654	0.346	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.654	0.346	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.654	0.346	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.653	0.347	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.653	0.347	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.653	0.347	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.653	0.347	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.653	0.347	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.653	0.347	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.652	0.347	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.652	0.348	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.652	0.348	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.652	0.348	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.652	0.348	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.651	0.349	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.651	0.349	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.651	0.349	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.651	0.349	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.651	0.349	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.651	0.349	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.651	0.349	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.651	0.349	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.651	0.349	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.651	0.349	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.651	0.349	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.651	0.349	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.650	0.349	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.650	0.349	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.650	0.350	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.650	0.350	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.650	0.350	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.650	0.350	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.650	0.350	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.650	0.350	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.649	0.350	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.649	0.350	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.351	0.649
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.649	0.351	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.649	0.351	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.648	0.352	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.648	0.352	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.648	0.352	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.648	0.352	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.648	0.352	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.648	0.352	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.648	0.352	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.648	0.352	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.648	0.352	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.648	0.352	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.647	0.352	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.647	0.353	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.647	0.353	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.647	0.353	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.647	0.353	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.646	0.353	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.646	0.353	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.646	0.353	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.646	0.354	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.646	0.354	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.646	0.354	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.646	0.354	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.646	0.354	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

0.9603

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5295

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5095

Cluster X0105

log Bayes Factor = 23.0031

contains 2 variants

0.1597

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9942

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9929

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9926

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9865

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9840

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9782

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9771

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9757

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9644

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9630

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9614

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9590

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9581

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9549

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9536

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9531

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9486

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9393

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9351

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9303

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9290

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9289

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9266

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9243

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9219

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9181

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9152

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9127

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9092

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9050

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9043

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8976

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8973

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8959

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8954

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8912

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8907

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8857

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8838

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8801

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8766

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8761

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8750

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8702

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8664

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8632

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8580

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8576

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8573

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8562

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8512

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8487

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8424

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8388

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8374

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8365

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8355

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8350

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8350

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8333

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8309

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8259

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8256

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8240

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.8186

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8011

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7979

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7939

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7927

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7900

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7896

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7871

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7843

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7826

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7814

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7802

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7765

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7759

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7759

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7746

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7711

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7664

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7650

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7627

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7570

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7560

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7530

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7515

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7488

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7469

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7461

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7452

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7437

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7406

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7378

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7323

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7314

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7285

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7277

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7166

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7131

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7109

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7107

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7107

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7063

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7062

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7046

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6992

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6970

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6928

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6909

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6870

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6840

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6821

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6801

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6784

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6751

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6742

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6739

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6727

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6725

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6695

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6650

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6632

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6592

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6573

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6530

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6480

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6464

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6406

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6347

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6225

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6053

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6003

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5997

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5917

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5912

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5868

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5837

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5832

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5778

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5728

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5680

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5658

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5642

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5631

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5582

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5576

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5569

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5500

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5428

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5287

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5247

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5200

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5073

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4960

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4929

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4907

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4883

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4878

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4873

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4870

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4859

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4744

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.4593

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4568

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4538

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4534

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4400

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4277

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4142

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4093

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4049

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3948

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3836

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3612

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3441

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3351

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3303

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3287

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3009

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2960

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2959

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2862

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2806

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2799

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2717

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2507

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2482

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2145

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2050

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.2026

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2012

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1828

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1796

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1580

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1552

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1422

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1353

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1327

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1123

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1113

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0918

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0916

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0789

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0778

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0688

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0535

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0529

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`)