TreeWAS – [C65] Malignant neoplasm of renal pelvis

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
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.897	0.103	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.894	0.106	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.879	0.121	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.871	0.129	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.132	0.868
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.868	0.132	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.844	0.156	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.844	0.156	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.841	0.159	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.840	0.160	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.839	0.161	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.162	0.838
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.837	0.163	0.000
rs402710 lBF = `32.4629` Chr`5` : `1,320,722`	0.000	0.165	0.835
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.834	0.166	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.830	0.170	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.829	0.171	0.000
rs2736098 lBF = `34.4547` Chr`5` : `1,294,086`	0.826	0.174	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.824	0.176	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.823	0.177	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.820	0.180	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.819	0.181	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.815	0.185	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.815	0.185	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.814	0.186	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.813	0.187	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.810	0.190	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.810	0.190	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.806	0.194	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.803	0.197	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.800	0.200	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.799	0.201	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.000	0.203	0.797
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.792	0.208	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.792	0.208	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.789	0.211	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.788	0.212	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.788	0.212	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.783	0.217	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.778	0.222	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.777	0.223	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.777	0.223	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.777	0.223	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.775	0.225	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.774	0.226	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.773	0.227	0.000
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.772	0.228	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.769	0.231	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.767	0.233	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.766	0.234	0.000
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.236	0.764
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.764	0.236	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.762	0.238	0.000
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.241	0.759
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.759	0.241	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.758	0.242	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.757	0.242	0.000
rs31489 lBF = `53.5032` Chr`5` : `1,342,714`	0.000	0.244	0.756
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.756	0.244	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.756	0.244	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.755	0.245	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.754	0.246	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.754	0.246	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.753	0.247	0.000
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.247	0.753
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.752	0.248	0.000
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.750	0.250	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.749	0.250	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.748	0.251	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.748	0.252	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.747	0.252	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.745	0.255	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.744	0.256	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.743	0.257	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.743	0.257	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.742	0.258	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.741	0.259	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.740	0.260	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.740	0.260	0.000
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.261	0.739
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.738	0.262	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.738	0.262	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.737	0.263	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.737	0.263	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.737	0.263	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.736	0.264	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.736	0.264	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.735	0.265	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.734	0.266	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.733	0.267	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.268	0.732
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.731	0.269	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.729	0.271	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.729	0.271	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.729	0.271	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.728	0.272	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.725	0.275	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.724	0.276	0.000
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	0.723	0.276	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.723	0.277	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.723	0.277	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.722	0.278	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.722	0.278	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.721	0.279	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.721	0.279	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.721	0.279	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.720	0.280	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.720	0.280	0.000
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.280	0.720
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.718	0.282	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.717	0.283	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.283	0.717
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.717	0.283	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.717	0.283	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.716	0.284	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.716	0.284	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.716	0.284	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.715	0.285	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.715	0.285	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.715	0.285	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.715	0.285	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
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.713	0.287	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.713	0.287	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.713	0.287	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.712	0.288	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.711	0.288	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.710	0.289	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.710	0.289	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.710	0.290	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.710	0.290	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.709	0.291	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.709	0.291	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.709	0.291	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.708	0.292	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.708	0.292	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.708	0.292	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.708	0.292	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.708	0.292	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.707	0.292	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.707	0.292	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.707	0.293	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.707	0.293	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.707	0.293	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.707	0.293	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.707	0.293	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.707	0.293	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.707	0.293	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.706	0.293	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.706	0.293	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.706	0.294	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.706	0.294	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.706	0.294	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.706	0.294	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.706	0.294	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.706	0.294	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.705	0.295	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.705	0.295	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.705	0.295	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.705	0.295	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.705	0.295	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.704	0.296	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.704	0.296	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.704	0.296	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.703	0.297	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.703	0.297	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.702	0.298	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.702	0.298	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.701	0.298	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.701	0.299	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.701	0.299	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.701	0.299	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.700	0.300	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.699	0.300	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.699	0.301	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.699	0.301	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.698	0.302	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.698	0.302	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.698	0.302	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.698	0.302	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.697	0.302	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.698	0.302	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.697	0.302	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.697	0.303	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.697	0.303	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.697	0.303	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.696	0.303	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.696	0.303	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.696	0.304	0.000
rs10070303 lBF = `2.46087` Chr`5` : `177,840,382`	0.696	0.304	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.696	0.304	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.696	0.304	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.696	0.304	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.695	0.304	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.695	0.305	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.695	0.305	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.695	0.305	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.695	0.305	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.695	0.305	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.695	0.305	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.695	0.305	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.695	0.305	0.000
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rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.653	0.347	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.653	0.347	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.652	0.347	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.652	0.348	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.652	0.348	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.652	0.348	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.652	0.348	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.651	0.349	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.651	0.349	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.651	0.349	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.651	0.349	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.651	0.349	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.651	0.349	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.651	0.349	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.651	0.349	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.349	0.651
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
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.650	0.350	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.650	0.350	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	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
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.649	0.351	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.649	0.351	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.649	0.351	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	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
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.648	0.352	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	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
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.648	0.352	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	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
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.647	0.353	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	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
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.354	0.646
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.646	0.354	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.646	0.354	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.646	0.354	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.646	0.354	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.646	0.354	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.646	0.354	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.646	0.354	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.646	0.354	0.000
rs17391694 lBF = `1.85741` Chr`1` : `78,623,626`	0.645	0.354	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.645	0.355	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.645	0.355	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.645	0.355	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.645	0.355	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.645	0.355	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.645	0.355	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.645	0.355	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.644	0.356	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.644	0.356	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.644	0.356	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.644	0.356	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.644	0.356	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.644	0.356	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.644	0.356	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.643	0.357	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.643	0.357	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.643	0.357	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.642	0.357	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.642	0.358	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.642	0.358	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.642	0.358	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.642	0.358	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.642	0.358	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.642	0.358	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.642	0.358	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.641	0.358	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.641	0.359	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.641	0.359	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.640	0.360	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.640	0.360	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.640	0.360	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.640	0.360	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.639	0.360	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.639	0.361	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.639	0.361	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.639	0.361	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.639	0.361	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.639	0.361	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.639	0.361	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.639	0.361	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.638	0.361	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.638	0.361	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

0.7528

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5200

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4607

Cluster X0105

log Bayes Factor = 23.0031

contains 2 variants

0.1003

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9734

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9671

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9653

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9575

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9461

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9447

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9346

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9308

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9263

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9210

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9079

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9071

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9047

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9033

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8985

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8949

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8896

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8853

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8833

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8802

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8787

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8779

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8759

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8686

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8683

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8626

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8622

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8598

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8557

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8515

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8510

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8489

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8481

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8368

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8345

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8340

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8338

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8285

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8270

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.8265

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8263

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8250

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8233

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8193

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8129

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8128

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8067

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8061

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8044

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8040

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7950

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7940

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7936

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7884

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7871

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.7857

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7785

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7717

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7710

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7706

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7687

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7676

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7673

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7633

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7546

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7535

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7465

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7465

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7457

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7425

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7424

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7405

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7398

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7342

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7325

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7277

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7252

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7178

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7168

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7167

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7166

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7165

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7160

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7159

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7157

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7149

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7148

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7148

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7147

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 X0174

log Bayes Factor = 214.209

contains 8 variants

0.7093

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7080

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7077

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7062

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7061

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7036

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7014

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7013

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6992

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6978

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6965

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6962

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6959

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6958

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6944

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6914

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6912

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6855

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6840

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6839

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6821

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6814

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6792

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 X0240

log Bayes Factor = 104.862

contains 6 variants

0.6721

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6650

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6648

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6620

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6616

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6573

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6485

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6440

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6399

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6381

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6365

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6299

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6297

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6288

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6225

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6138

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6126

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6053

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5981

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5957

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5950

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5937

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5912

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5847

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5845

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5833

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5736

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5732

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5711

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5632

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5573

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5569

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5507

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5406

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5368

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5200

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5197

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5087

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 X0045

log Bayes Factor = 446.264

contains 16 variants

0.4949

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4946

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4884

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4851

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4788

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4738

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4700

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4690

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4580

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4576

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4534

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4483

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4183

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4178

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4140

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 X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3997

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3709

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3698

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3655

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.3497

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3466

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3341

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3303

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3227

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3226

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3026

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2988

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2864

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2828

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2806

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2740

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2707

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.2659

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2592

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2590

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2462

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2286

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2248

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2040

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1864

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1637

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1560

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1325

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1247

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1245

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1130

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0775

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0739

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0681

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0645

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0522

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`)