TreeWAS – [K91.1] Postgastric surgery syndromes

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
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.798	0.202	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.793	0.207	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.770	0.230	0.000
rs2239802 lBF = `227.934` Chr`6` : `32,411,846`	0.000	0.230	0.770
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.758	0.241	0.000
rs2395182 lBF = `227.918` Chr`6` : `32,413,317`	0.000	0.246	0.754
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.741	0.259	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.740	0.260	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.738	0.262	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.738	0.262	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.737	0.263	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.729	0.265	0.006
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.733	0.267	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.274	0.726
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.724	0.276	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.721	0.278	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.716	0.284	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.716	0.284	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.714	0.286	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.710	0.289	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.703	0.297	0.000
rs3130955 lBF = `179.933` Chr`6` : `31,054,511`	0.702	0.298	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.700	0.299	0.000
rs2299851 lBF = `25.8886` Chr`6` : `31,718,602`	0.699	0.301	0.000
rs9267798 lBF = `25.63` Chr`6` : `32,044,834`	0.697	0.302	0.001
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.695	0.305	0.000
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	0.308	0.692
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.689	0.310	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.687	0.313	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.686	0.314	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.684	0.316	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.680	0.320	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.680	0.320	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.676	0.324	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.674	0.326	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.673	0.327	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.672	0.328	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.671	0.329	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.669	0.331	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.669	0.331	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.668	0.332	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.665	0.335	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.660	0.339	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.657	0.343	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.655	0.345	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.654	0.345	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.654	0.345	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.652	0.348	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.652	0.348	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.652	0.348	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.349	0.650
rs9271640 lBF = `222.488` Chr`6` : `32,592,200`	0.649	0.351	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.649	0.351	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.648	0.352	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.630	0.353	0.017
rs113647600 lBF = `93.0002` Chr`6` : `32,553,626`	0.646	0.353	0.001
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.646	0.354	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.638	0.354	0.009
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.646	0.354	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.643	0.357	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.641	0.359	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.640	0.359	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.640	0.360	0.000
rs9276826 lBF = `16.7625` Chr`6` : `32,830,568`	0.000	0.361	0.639
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.639	0.361	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.361	0.639
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.638	0.362	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.636	0.364	0.000
rs3095245 lBF = `173.422` Chr`6` : `31,213,902`	0.635	0.365	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.635	0.365	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.634	0.366	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.634	0.366	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.632	0.368	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.632	0.368	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.631	0.369	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.630	0.369	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.629	0.371	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.628	0.372	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.627	0.373	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.626	0.373	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.626	0.373	0.000
rs66525318 lBF = `102.285` Chr`6` : `32,504,136`	0.625	0.374	0.001
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.626	0.374	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.625	0.375	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.625	0.375	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.625	0.375	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.623	0.376	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.623	0.377	0.000
rs9268199 lBF = `193.144` Chr`6` : `32,278,635`	0.000	0.378	0.622
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.378	0.622
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.621	0.379	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.621	0.379	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.620	0.379	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.619	0.380	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.619	0.380	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.619	0.381	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.619	0.381	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.619	0.381	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.618	0.381	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.617	0.383	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.617	0.383	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.617	0.383	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.616	0.384	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.615	0.384	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.615	0.385	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.615	0.385	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.612	0.388	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.611	0.388	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.611	0.389	0.000
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.389	0.611
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.610	0.390	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.610	0.390	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.610	0.390	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.609	0.390	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.608	0.391	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.608	0.391	0.000
rs60552083 lBF = `9.92833` Chr`1` : `67,561,772`	0.000	0.392	0.608
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.606	0.394	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.604	0.396	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.604	0.396	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.604	0.396	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.603	0.397	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.602	0.398	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.601	0.398	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.600	0.399	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.600	0.400	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.600	0.400	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.599	0.401	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.599	0.401	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.599	0.401	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.578	0.402	0.020
rs41291798 lBF = `46.7943` Chr`6` : `32,431,558`	0.000	0.402	0.598
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.598	0.402	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.598	0.402	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.597	0.403	0.000
rs113979555 lBF = `93.7374` Chr`6` : `32,583,188`	0.595	0.404	0.001
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.581	0.404	0.016
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.596	0.404	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.596	0.404	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.595	0.405	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.595	0.405	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.595	0.405	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.594	0.406	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.594	0.406	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.594	0.406	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.592	0.408	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.591	0.408	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.590	0.410	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.589	0.411	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.589	0.411	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.588	0.412	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.588	0.412	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.588	0.412	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.587	0.413	0.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	0.587	0.413	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.587	0.413	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.585	0.415	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.585	0.415	0.000
rs945144 lBF = `1.15538` Chr`6` : `6,476,278`	0.000	0.415	0.585
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.584	0.415	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.584	0.416	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.583	0.416	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.583	0.417	0.000
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	0.418	0.582
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.582	0.418	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.582	0.418	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.581	0.419	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.581	0.419	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.580	0.419	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.580	0.419	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.580	0.420	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.579	0.421	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.578	0.422	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.578	0.422	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.577	0.422	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.577	0.423	0.000
rs66723041 lBF = `214.427` Chr`6` : `32,520,707`	0.000	0.423	0.577
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.577	0.423	0.000
rs1050529 lBF = `28.548` Chr`6` : `31,324,615`	0.000	0.423	0.577
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.576	0.424	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.575	0.425	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.575	0.425	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.575	0.425	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.574	0.425	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.574	0.426	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.574	0.426	0.000
rs3129860 lBF = `212.976` Chr`6` : `32,401,079`	0.000	0.426	0.574
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.573	0.427	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.573	0.427	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.573	0.427	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.573	0.427	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.572	0.428	0.000
rs34451186 lBF = `94.4703` Chr`6` : `32,542,638`	0.571	0.428	0.002
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.572	0.428	0.000
rs9270984 lBF = `225.558` Chr`6` : `32,573,991`	0.572	0.428	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.571	0.428	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.571	0.429	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.571	0.429	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.571	0.429	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.571	0.429	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.570	0.429	0.000
rs28530648 lBF = `100.891` Chr`6` : `32,527,079`	0.569	0.430	0.002
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.569	0.430	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.569	0.431	0.000
Affx-52341719 lBF = `201.372` Chr`6` : `32,552,146`	0.000	0.431	0.569
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rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.568	0.432	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.567	0.433	0.000
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rs9271683 lBF = `209.106` Chr`6` : `32,592,950`	0.000	0.434	0.566
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rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.565	0.435	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.565	0.435	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.565	0.435	0.000
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rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.564	0.436	0.000
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rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.562	0.438	0.000
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rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.561	0.439	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.560	0.440	0.000
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rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.559	0.440	0.000
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rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.559	0.441	0.000
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rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.558	0.442	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.558	0.442	0.000
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rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.557	0.443	0.000
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rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.556	0.444	0.000
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rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.553	0.447	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.552	0.448	0.000
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rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.551	0.449	0.000
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rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.550	0.450	0.000
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rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.549	0.451	0.000
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rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.548	0.452	0.000
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rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.545	0.455	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.545	0.455	0.000
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Affx-28459705 lBF = `94.4448` Chr`6` : `31,555,130`	0.000	0.464	0.536
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Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.533	0.467	0.000
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rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.507	0.492	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.507	0.493	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.507	0.493	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.506	0.494	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.505	0.494	0.000
rs3117182 lBF = `136.187` Chr`6` : `32,066,819`	0.000	0.495	0.505
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.504	0.496	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.504	0.496	0.000
rs3129934 lBF = `192.051` Chr`6` : `32,336,187`	0.504	0.496	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.504	0.496	0.000
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.503	0.497	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.503	0.497	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.503	0.497	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.502	0.498	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.502	0.498	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.502	0.498	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.501	0.499	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.501	0.499	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.501	0.499	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.500	0.500	0.000
rs3135391 lBF = `205.982` Chr`6` : `32,410,987`	0.000	0.500	0.500
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.500	0.500	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.499	0.500	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.499	0.501	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.499	0.501	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.499	0.501	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.499	0.501	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.499	0.501	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.498	0.501	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.497	0.502	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.497	0.503	0.000
rs116065238 lBF = `1.13019` Chr`1` : `171,451,422`	0.497	0.503	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.497	0.503	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.496	0.504	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.496	0.504	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.424	0.504	0.072
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.495	0.505	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.495	0.505	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.494	0.506	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.494	0.506	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.493	0.507	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.492	0.507	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.492	0.507	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.492	0.507	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.492	0.508	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.492	0.508	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.490	0.509	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.490	0.510	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.511	0.489
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.489	0.511	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.488	0.511	0.000
rs9270022 lBF = `213.905` Chr`6` : `32,553,142`	0.000	0.512	0.488
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.488	0.512	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.488	0.512	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.487	0.512	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.487	0.513	0.000
rs9269910 lBF = `215.553` Chr`6` : `32,551,350`	0.000	0.514	0.486
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.486	0.514	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.485	0.515	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.485	0.515	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.485	0.515	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.485	0.515	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.485	0.515	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.485	0.515	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.484	0.515	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.484	0.516	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.484	0.516	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.483	0.517	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.482	0.518	0.000
rs17577980 lBF = `23.6531` Chr`6` : `32,359,821`	0.000	0.518	0.482
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.481	0.518	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.481	0.518	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.481	0.519	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.481	0.519	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.480	0.519	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.480	0.519	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.480	0.520	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.479	0.520	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.479	0.520	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.479	0.520	0.000
rs1044506 lBF = `157.763` Chr`6` : `32,172,065`	0.000	0.521	0.479
rs2596501 lBF = `101.935` Chr`6` : `31,321,211`	0.000	0.521	0.479
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.479	0.521	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.479	0.521	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.479	0.521	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.478	0.522	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.477	0.523	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.477	0.523	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.477	0.523	0.000
rs9270050 lBF = `184.692` Chr`6` : `32,553,740`	0.000	0.523	0.476
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.476	0.524	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.475	0.525	0.000
rs36192217 lBF = `213.352` Chr`6` : `32,522,339`	0.000	0.525	0.475
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.475	0.525	0.000
rs3132940 lBF = `160.057` Chr`6` : `32,161,396`	0.000	0.525	0.474

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

0.4891

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9673

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8363

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8051

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8036

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8003

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7950

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7942

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7724

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7574

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7168

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7167

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7167

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7167

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7165

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7160

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7157

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7152

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7148

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7143

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7128

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7080

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6995

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6993

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6988

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6917

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6771

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6701

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6667

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6654

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6629

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6588

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6570

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6486

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6462

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6421

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6341

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6331

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6296

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6273

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6130

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6044

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6017

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5981

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5946

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5908

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5863

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5845

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5759

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5649

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5622

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5524

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5521

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5349

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5272

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5256

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5226

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5130

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5082

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4983

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4866

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4846

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4789

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4507

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4237

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3967

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3869

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3845

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3513

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3390

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3226

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3172

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3113

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3041

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3024

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3003

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2928

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2807

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2678

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2630

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2562

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2467

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2353

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2339

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2267

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2257

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2249

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2248

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2232

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2217

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2159

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2067

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2029

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2021

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1947

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1859

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1818

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1718

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1687

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1637

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1541

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1517

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1497

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1386

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1289

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1240

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1230

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1228

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1214

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1150

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1100

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1028

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0973

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0904

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0903

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0891

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0855

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0836

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0816

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0802

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0716

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0709

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0691

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0690

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0683

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0683

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0667

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0665

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0599

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0586

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0553

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0533

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0528

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`)