TreeWAS – [I82.0] Budd-Chiari syndrome

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
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.878	0.122	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.878	0.122	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.877	0.123	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.876	0.124	0.000
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.866	0.134	0.000
rs643434 lBF = `151.434` Chr`9` : `136,142,355`	0.865	0.135	0.000
rs8176719 lBF = `148.272` Chr`9` : `136,132,908`	0.854	0.146	0.000
rs633862 lBF = `50.6568` Chr`9` : `136,155,444`	0.839	0.161	0.000
rs581107 lBF = `48.1134` Chr`9` : `136,147,702`	0.000	0.165	0.835
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.794	0.206	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.786	0.214	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.736	0.264	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.729	0.271	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.721	0.279	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.720	0.280	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.714	0.286	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.713	0.287	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.712	0.288	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.710	0.290	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.709	0.290	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.709	0.291	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.706	0.294	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.705	0.295	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.678	0.322	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.675	0.325	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.672	0.327	0.000
rs6427196 lBF = `150.089` Chr`1` : `169,481,223`	0.000	0.335	0.664
rs8176749 lBF = `14.8273` Chr`9` : `136,131,188`	0.664	0.336	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.664	0.336	0.000
rs8176693 lBF = `14.3653` Chr`9` : `136,137,657`	0.664	0.336	0.000
rs8176743 lBF = `14.2128` Chr`9` : `136,131,415`	0.663	0.337	0.000
rs688976 lBF = `14.1937` Chr`9` : `136,136,770`	0.000	0.353	0.647
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.645	0.355	0.000
rs4656682 lBF = `59.9666` Chr`1` : `169,463,518`	0.644	0.356	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.642	0.358	0.000
rs114113732 lBF = `13.53` Chr`1` : `170,152,756`	0.641	0.359	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.636	0.363	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.636	0.364	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.634	0.366	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.633	0.367	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.633	0.367	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.632	0.367	0.000
rs638756 lBF = `14.2843` Chr`9` : `136,134,472`	0.000	0.371	0.629
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.000	0.371	0.628
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.627	0.373	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.624	0.376	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.622	0.378	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.618	0.382	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.617	0.383	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.616	0.383	0.001
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.616	0.384	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.613	0.387	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.613	0.387	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.613	0.387	0.000
Affx-33347130 lBF = `13.4651` Chr`9` : `136,135,238`	0.000	0.388	0.612
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.612	0.388	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.610	0.390	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.610	0.390	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.000	0.392	0.608
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.605	0.395	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.605	0.395	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.604	0.396	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.602	0.398	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.598	0.402	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.597	0.403	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.596	0.403	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.596	0.403	0.000
rs9320598 lBF = `0.930012` Chr`6` : `98,019,080`	0.595	0.405	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.592	0.408	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.591	0.409	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.589	0.411	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.588	0.412	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.588	0.412	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.586	0.413	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.584	0.415	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.583	0.417	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.582	0.418	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.580	0.419	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.579	0.421	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.578	0.422	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.578	0.422	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.577	0.422	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.577	0.423	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.577	0.423	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.576	0.424	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.576	0.424	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.576	0.424	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.575	0.425	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.573	0.426	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.573	0.427	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.573	0.427	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.573	0.427	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.572	0.428	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.571	0.429	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.570	0.430	0.000
rs9266515 lBF = `15.1976` Chr`6` : `31,341,340`	0.569	0.431	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.569	0.431	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.567	0.432	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.567	0.432	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.567	0.433	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.567	0.433	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.566	0.434	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.566	0.434	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.565	0.435	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.565	0.435	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.564	0.435	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.564	0.436	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.563	0.437	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.562	0.438	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.561	0.439	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.561	0.439	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.560	0.440	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.560	0.440	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.559	0.441	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.559	0.441	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.559	0.441	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.557	0.443	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.557	0.443	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.556	0.444	0.000
rs7853989 lBF = `7.17616` Chr`9` : `136,131,592`	0.555	0.444	0.001
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.556	0.444	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.555	0.444	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.555	0.445	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.555	0.445	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.555	0.445	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.553	0.447	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.552	0.448	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.552	0.448	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.551	0.448	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.551	0.449	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.550	0.450	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.550	0.450	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.550	0.450	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.550	0.450	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.550	0.450	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.550	0.450	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.549	0.450	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.549	0.451	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.549	0.451	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.548	0.451	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.548	0.452	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.548	0.452	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.547	0.452	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.547	0.452	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.547	0.453	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.547	0.453	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.546	0.454	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.546	0.454	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.546	0.454	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.546	0.454	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.546	0.454	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.546	0.454	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.545	0.455	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.545	0.455	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.545	0.455	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.545	0.455	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.545	0.455	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.544	0.455	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.544	0.455	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.544	0.455	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.544	0.456	0.000
Affx-4564118 lBF = `58.8162` Chr`1` : `114,448,389`	0.543	0.457	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.543	0.457	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.543	0.457	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.543	0.457	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.542	0.457	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.542	0.458	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.542	0.458	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.541	0.459	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.540	0.460	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.539	0.460	0.000
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.539	0.461	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.539	0.461	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.538	0.461	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.538	0.462	0.000
rs9266417 lBF = `17.1829` Chr`6` : `31,336,994`	0.538	0.462	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.538	0.462	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.537	0.463	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.536	0.463	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.536	0.464	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.535	0.465	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.535	0.465	0.000
rs2358994 lBF = `56.0385` Chr`1` : `114,429,461`	0.535	0.465	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.535	0.465	0.000
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	0.465	0.535
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.534	0.466	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.534	0.466	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.533	0.466	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.533	0.467	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.533	0.467	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.533	0.467	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.532	0.467	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.532	0.468	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.531	0.469	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.531	0.469	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.531	0.469	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.531	0.469	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.531	0.469	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.530	0.470	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.530	0.470	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.529	0.471	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.529	0.471	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.528	0.471	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.528	0.472	0.000
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rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.482	0.518	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.482	0.518	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.482	0.518	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.482	0.518	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.481	0.518	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.481	0.519	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.481	0.519	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.481	0.519	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.481	0.519	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.481	0.519	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.481	0.519	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.481	0.519	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.480	0.519	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.480	0.519	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.480	0.519	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.480	0.520	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.480	0.520	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.480	0.520	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.480	0.520	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.480	0.520	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.479	0.520	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.479	0.521	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.479	0.521	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.479	0.521	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.478	0.522	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.478	0.522	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.477	0.522	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.477	0.523	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.477	0.523	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.476	0.523	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.476	0.524	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.476	0.524	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.476	0.524	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.476	0.524	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.475	0.524	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.475	0.524	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.475	0.525	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.475	0.525	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.475	0.525	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.475	0.525	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.475	0.525	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.475	0.525	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.474	0.526	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.474	0.526	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.474	0.526	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.474	0.526	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.473	0.526	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.473	0.526	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.473	0.527	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.473	0.527	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.473	0.527	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.473	0.527	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.472	0.527	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.472	0.528	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.472	0.528	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.472	0.528	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.472	0.528	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.472	0.528	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.472	0.528	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.472	0.528	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.472	0.528	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.471	0.528	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.471	0.529	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.471	0.529	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.471	0.529	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.470	0.530	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.470	0.530	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.470	0.530	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.470	0.530	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.469	0.530	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	0.531	0.469
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.469	0.531	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.469	0.531	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.468	0.531	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.468	0.532	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.468	0.532	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.468	0.532	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.467	0.533	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.467	0.533	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.467	0.533	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.467	0.533	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.467	0.533	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.467	0.533	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.467	0.533	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.466	0.533	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.466	0.534	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.466	0.534	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.466	0.534	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.466	0.534	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.466	0.534	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.534	0.465
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.465	0.535	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.464	0.535	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.464	0.535	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4299

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2098

Cluster X0136

log Bayes Factor = 105.47

contains 5 variants

0.0518

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.8781

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7163

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7163

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7158

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7154

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7154

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7153

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7153

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7151

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7149

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7148

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7147

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7141

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7140

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7136

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7134

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7125

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7120

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7120

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7112

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7112

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7109

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7085

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7078

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7068

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7049

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7042

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7030

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7023

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7022

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7015

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7014

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7010

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7010

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7009

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7003

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6987

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6956

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6952

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6943

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6938

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6927

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6912

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6898

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6880

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6879

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6865

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6860

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6853

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6843

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6841

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6823

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6794

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6784

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6778

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6765

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6764

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6764

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6760

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6734

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6725

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6724

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6708

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6679

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6678

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6671

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6639

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6555

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6554

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6547

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6469

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6464

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6438

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6427

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6426

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6416

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6402

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6386

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6350

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6332

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6327

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6327

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6272

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6269

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6267

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6248

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6240

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6239

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6233

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6225

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6214

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6210

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6205

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6189

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6187

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6179

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6144

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6133

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6126

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6125

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6091

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6074

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6063

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6054

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6033

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5964

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5903

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5888

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5805

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5790

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5764

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5760

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5729

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5715

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5706

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5666

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5517

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5481

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5435

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5401

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5388

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5339

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5307

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5302

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5292

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5244

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5211

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5173

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5136

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5102

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4965

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4949

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4881

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4745

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4603

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4564

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4533

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4412

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4061

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4023

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3909

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3887

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3791

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3674

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3492

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3135

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3046

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2835

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2516

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2496

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2485

Cluster X0135

log Bayes Factor = 161.721

contains 3 variants

0.2383

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2126

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2092

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1951

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1925

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1882

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1876

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1851

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1419

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1402

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1250

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1165

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1129

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1107

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1058

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1000

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0962

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0948

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0918

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0903

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0895

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0880

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0585

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0584

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0567

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`)