TreeWAS – [S88] Traumatic amputation of lower leg

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S88

Traumatic amputation of lower leg

Parent term	S80-S89 Injuries to the knee and lower leg
Nested terms	S88.0 Traumatic amputation at knee level S88.1 Traumatic amputation at level between knee and ankle S88.9 Traumatic amputation of lower leg, level unspecified

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Variant effects

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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
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.717	0.283	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.716	0.283	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.716	0.284	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.716	0.284	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.716	0.284	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.716	0.284	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.715	0.284	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.715	0.285	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.715	0.285	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.715	0.285	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.715	0.285	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.715	0.285	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.715	0.285	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.714	0.286	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.714	0.286	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.714	0.286	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.714	0.286	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.714	0.286	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.714	0.286	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.714	0.286	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.714	0.286	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.713	0.287	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.713	0.287	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.713	0.287	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.713	0.287	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.713	0.287	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.713	0.287	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.713	0.287	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.713	0.287	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.713	0.287	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.713	0.287	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.713	0.287	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.712	0.287	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.712	0.288	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.712	0.288	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.712	0.288	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.712	0.288	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.712	0.288	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.712	0.288	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.288	0.711
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.711	0.288	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.711	0.288	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.711	0.288	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.711	0.288	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.711	0.289	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.711	0.289	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.711	0.289	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.711	0.289	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.711	0.289	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.711	0.289	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.711	0.289	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.710	0.290	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.710	0.290	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.710	0.290	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.710	0.290	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.710	0.290	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.710	0.290	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.710	0.290	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.709	0.291	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.709	0.291	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.709	0.291	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.709	0.291	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.709	0.291	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.709	0.291	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.708	0.292	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.708	0.292	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.708	0.292	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.708	0.292	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.708	0.292	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.707	0.292	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.707	0.292	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.707	0.292	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.707	0.293	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.707	0.293	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.707	0.293	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.707	0.293	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.707	0.293	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.707	0.293	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.706	0.293	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.706	0.294	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.706	0.294	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.706	0.294	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.705	0.295	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.705	0.295	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.705	0.295	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.705	0.295	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.705	0.295	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.705	0.295	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.705	0.295	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.704	0.296	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.704	0.296	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.704	0.296	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.703	0.296	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.703	0.296	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.703	0.296	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.703	0.296	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.703	0.297	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.703	0.297	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.703	0.297	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.703	0.297	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.702	0.297	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.702	0.298	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.702	0.298	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.702	0.298	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.702	0.298	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.702	0.298	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.701	0.298	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.701	0.298	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.701	0.298	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.701	0.298	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.701	0.299	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.701	0.299	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.701	0.299	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.701	0.299	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.701	0.299	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.701	0.299	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.701	0.299	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.700	0.300	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.700	0.300	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.700	0.300	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.700	0.300	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.699	0.300	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.699	0.301	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.699	0.301	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.699	0.301	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.699	0.301	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.699	0.301	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.698	0.301	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.698	0.302	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.698	0.302	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.698	0.302	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.698	0.302	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.698	0.302	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.698	0.302	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.698	0.302	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.698	0.302	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.698	0.302	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.698	0.302	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.698	0.302	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.698	0.302	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.697	0.302	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.697	0.303	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.697	0.303	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.697	0.303	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.697	0.303	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.697	0.303	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.303	0.697
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.697	0.303	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.697	0.303	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.697	0.303	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.697	0.303	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.696	0.304	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.696	0.304	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.696	0.304	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.304	0.696
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.696	0.304	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.695	0.305	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.695	0.305	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.695	0.305	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.695	0.305	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.695	0.305	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.695	0.305	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.695	0.305	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.694	0.306	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.694	0.306	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.694	0.306	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.694	0.306	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.694	0.306	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.694	0.306	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.694	0.306	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.694	0.306	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.694	0.306	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.694	0.306	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.694	0.306	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.693	0.306	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.693	0.306	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.693	0.307	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.693	0.307	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.693	0.307	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.692	0.307	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.692	0.307	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.692	0.307	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.692	0.308	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.692	0.308	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.692	0.308	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.692	0.308	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.692	0.308	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.692	0.308	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.692	0.308	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.692	0.308	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.691	0.308	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.691	0.308	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.691	0.309	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.691	0.309	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.691	0.309	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.691	0.309	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.691	0.309	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.691	0.309	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.691	0.309	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.691	0.309	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.691	0.309	0.000
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rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.668	0.332	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.668	0.332	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.668	0.332	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.668	0.332	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.668	0.332	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.668	0.332	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.667	0.332	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.667	0.332	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.667	0.333	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.667	0.333	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.667	0.333	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.667	0.333	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.667	0.333	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.667	0.333	0.000
rs35555795 lBF = `149.56` Chr`6` : `26,509,382`	0.667	0.333	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.667	0.333	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.667	0.333	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.667	0.333	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.666	0.333	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.666	0.333	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.666	0.334	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.666	0.334	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.666	0.334	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.666	0.334	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.666	0.334	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.666	0.334	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.666	0.334	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.666	0.334	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.666	0.334	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.666	0.334	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.666	0.334	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.666	0.334	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.666	0.334	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.665	0.334	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.665	0.335	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.665	0.335	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.665	0.335	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.665	0.335	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.665	0.335	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.665	0.335	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.665	0.335	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.665	0.335	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.665	0.335	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.664	0.335	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.664	0.335	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.664	0.336	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.664	0.336	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.664	0.336	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.664	0.336	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.664	0.336	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.664	0.336	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.664	0.336	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.664	0.336	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.664	0.336	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.664	0.336	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.664	0.336	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.663	0.336	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.663	0.337	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.663	0.337	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.663	0.337	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.663	0.337	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.663	0.337	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.663	0.337	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.663	0.337	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.663	0.337	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.663	0.337	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.662	0.337	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.662	0.337	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.662	0.338	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.662	0.338	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.662	0.338	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.662	0.338	0.000
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.661	0.338	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.661	0.338	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.661	0.338	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.661	0.338	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.338	0.661
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.661	0.338	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.661	0.339	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.661	0.339	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.661	0.339	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.661	0.339	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.661	0.339	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.660	0.339	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.660	0.340	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.660	0.340	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.660	0.340	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.660	0.340	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.660	0.340	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.660	0.340	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.660	0.340	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.660	0.340	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.660	0.340	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.660	0.340	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.659	0.341	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.659	0.341	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.659	0.341	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6970

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3587

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7168

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7168

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7168

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7168

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7168

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7168

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7168

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7168

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7167

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7167

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7166

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7166

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7166

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7165

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7165

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7165

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7164

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7162

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7161

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7159

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7158

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7156

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7156

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7156

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7155

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7155

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7155

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7153

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7153

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7153

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7152

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7152

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7151

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7151

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7144

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7143

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7143

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7140

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7137

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7134

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7133

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7130

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7125

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7125

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7114

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7112

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7107

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7104

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7099

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7096

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7094

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7087

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7086

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7069

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7065

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7054

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7047

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7046

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7044

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7042

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7040

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7037

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7036

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7027

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7023

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7019

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7016

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7006

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7003

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6992

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6968

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6954

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6944

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6943

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6925

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6911

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6907

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6893

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6888

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6882

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6860

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6851

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6835

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6824

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6822

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6805

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6786

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6768

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6767

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6758

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6738

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6714

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6703

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6700

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6674

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6671

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6660

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6660

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6649

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6634

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6580

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6542

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6536

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6535

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6528

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6515

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6470

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6445

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6397

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6384

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6362

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6304

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6280

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6244

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6154

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6012

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5883

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5840

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5795

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5708

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5616

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5586

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5495

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5495

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5475

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5455

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5275

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5265

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5191

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4892

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4836

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4719

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4466

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4453

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4396

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4371

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4287

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4090

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4024

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3981

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3725

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3704

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3604

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3601

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3463

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3460

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3149

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3126

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2823

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2568

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2070

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1931

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1809

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1799

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1636

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1584

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1474

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1436

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1328

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1220

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1106

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1074

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0962

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0860

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0848

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0677

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0582

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)

Hospitalization Episode Statistics (`HES`)