TreeWAS – [K28.1] Acute with perforation

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
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.514	0.486	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.514	0.486	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.513	0.487	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.513	0.487	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.513	0.487	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.512	0.487	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.512	0.488	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.512	0.488	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.506	0.493	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.504	0.496	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.500	0.500	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.473	0.527	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.458	0.542	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.456	0.543	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.455	0.545	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.422	0.578	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.414	0.586	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.343	0.657	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.317	0.682	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.293	0.707	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.278	0.721	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.272	0.727	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.238	0.762	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.234	0.766	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.226	0.774	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.207	0.793	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.205	0.795	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.196	0.804	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.188	0.812	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.172	0.828	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.164	0.836	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.160	0.839	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.160	0.840	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.148	0.852	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.134	0.866	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.133	0.867	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.132	0.868	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.122	0.877	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.113	0.887	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.099	0.900	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.094	0.906	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.084	0.916	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.083	0.916	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.081	0.919	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.080	0.920	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.072	0.928	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.071	0.929	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.071	0.929	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.070	0.930	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.056	0.944	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.056	0.944	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.054	0.946	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.050	0.950	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.047	0.952	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.047	0.953	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.042	0.958	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.036	0.964	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.032	0.967	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.032	0.967	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.030	0.970	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.027	0.972	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.027	0.972	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.025	0.975	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.024	0.976	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.021	0.979	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.020	0.980	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.019	0.981	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.019	0.981	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	0.981	0.019
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.019	0.981	0.000
rs62578126 lBF = `4.4764` Chr`9` : `129,375,338`	0.019	0.981	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.018	0.981	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.017	0.983	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.017	0.983	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.016	0.983	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.016	0.984	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.015	0.985	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.015	0.985	0.000
rs10760442 lBF = `5.00715` Chr`9` : `129,383,900`	0.014	0.986	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.014	0.986	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.014	0.986	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.013	0.986	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.013	0.987	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.013	0.987	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.012	0.987	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.011	0.988	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.011	0.989	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.011	0.989	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.010	0.990	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.009	0.991	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	0.991	0.009
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.008	0.991	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.008	0.992	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.008	0.992	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.007	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.993	0.000
rs3829849 lBF = `3.6952` Chr`9` : `129,390,800`	0.007	0.993	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.002	0.993	0.005
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.006	0.993	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.006	0.994	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.005	0.994	0.001
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.005	0.994	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.005	0.994	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.005	0.995	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.005	0.995	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.005	0.995	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.005	0.995	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.005	0.995	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.004	0.995	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.004	0.995	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.004	0.995	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.004	0.996	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.004	0.996	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.996	0.004
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.000	0.996	0.004
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.003	0.996	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.003	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.003	0.997	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.001	0.997	0.002
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.003	0.997	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.003	0.997	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.003	0.997	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.002	0.997	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.002	0.997	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.002	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.002	0.998	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.002	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.002	0.998	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.002	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.002	0.998	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.000	0.998	0.002
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.002	0.998	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.002	0.998	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.998	0.002
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.002	0.998	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.001	0.998	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.001	0.998	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	0.998	0.001
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.000	0.998	0.001
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.001	0.999	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.999	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.000	0.999	0.001
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.001	0.999	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.999	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.000	0.999	0.001
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.001	0.999	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.001	0.999	0.000
rs12338076 lBF = `0.00017178` Chr`9` : `139,121,740`	0.001	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.001	0.999	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	0.999	0.001
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs60634637 lBF = `0.00003216` Chr`9` : `110,873,780`	0.001	0.999	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.000	0.999	0.001
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.001	0.999	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.001	0.999	0.000
rs186132788 lBF = `0.00025167` Chr`9` : `79,082,712`	0.000	0.999	0.001
rs564816 lBF = `0.00012888` Chr`9` : `4,015,370`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs145444918 lBF = `0.00003907` Chr`9` : `30,934,829`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
rs149406381 lBF = `0.00003907` Chr`9` : `30,915,159`	0.001	0.999	0.000
rs147368481 lBF = `0.00003907` Chr`9` : `30,912,421`	0.001	0.999	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.001	0.999	0.000
rs184676284 lBF = `0.0000136` Chr`9` : `30,972,355`	0.001	0.999	0.000
rs151101851 lBF = `0.0000136` Chr`9` : `30,955,024`	0.001	0.999	0.000
rs184557780 lBF = `0.0000136` Chr`9` : `30,953,076`	0.001	0.999	0.000
rs141510725 lBF = `0.0000136` Chr`9` : `30,973,107`	0.001	0.999	0.000
rs74838144 lBF = `0.0000136` Chr`9` : `30,971,369`	0.001	0.999	0.000
rs151321188 lBF = `0.0000136` Chr`9` : `30,957,905`	0.001	0.999	0.000
rs75214736 lBF = `0.0000136` Chr`9` : `30,953,851`	0.001	0.999	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.001	0.999	0.000
rs10125337 lBF = `0.00010193` Chr`9` : `97,444,038`	0.001	0.999	0.000
rs16912725 lBF = `0.00005562` Chr`9` : `28,359,782`	0.001	0.999	0.001
rs115855507 lBF = `0.00004153` Chr`9` : `76,113,818`	0.001	0.999	0.000
rs185011186 lBF = `0.00004151` Chr`9` : `115,162,332`	0.001	0.999	0.000
rs9282541 lBF = `0.00003661` Chr`9` : `107,620,835`	0.001	0.999	0.000
rs116107739 lBF = `0.00002128` Chr`9` : `76,127,518`	0.001	0.999	0.000
rs58710288 lBF = `0.00002128` Chr`9` : `76,128,756`	0.001	0.999	0.000
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rs7857709 lBF = `0.260127` Chr`9` : `31,394,025`	0.000	0.999	0.000
rs10970305 lBF = `0.245937` Chr`9` : `31,372,583`	0.000	0.999	0.000
rs8176720 lBF = `0.244702` Chr`9` : `136,132,873`	0.000	0.999	0.000
rs10984447 lBF = `0.157799` Chr`9` : `121,984,553`	0.000	0.999	0.000
rs2090409 lBF = `0.108903` Chr`9` : `108,967,088`	0.000	0.999	0.000
rs7039377 lBF = `0.0790853` Chr`9` : `38,675,465`	0.000	0.999	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.999	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	0.999	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	0.999	0.000
rs12001137 lBF = `-0.00100269` Chr`9` : `11,964,872`	0.000	0.999	0.000
rs10809650 lBF = `-0.00109626` Chr`9` : `1,202,371`	0.000	0.999	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	0.999	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs12552369 lBF = `-0.00950218` Chr`9` : `135,632,493`	0.000	0.999	0.000
rs2151145 lBF = `-0.0319378` Chr`9` : `82,345,881`	0.000	0.999	0.000
rs10512385 lBF = `-0.0338249` Chr`9` : `111,455,575`	0.000	0.999	0.000
rs10980854 lBF = `-0.0365583` Chr`9` : `114,050,357`	0.000	0.999	0.000
rs10453225 lBF = `-0.0453113` Chr`9` : `108,920,220`	0.000	0.999	0.000
rs6478106 lBF = `-0.0559086` Chr`9` : `117,545,666`	0.000	0.999	0.000
rs7865468 lBF = `-0.0706559` Chr`9` : `10,274,080`	0.000	0.999	0.000
rs10760321 lBF = `-0.0707031` Chr`9` : `126,864,196`	0.000	0.999	0.000
rs2769967 lBF = `-0.083725` Chr`9` : `81,889,358`	0.000	0.999	0.000
rs10987149 lBF = `-0.098129` Chr`9` : `128,857,851`	0.000	0.999	0.000
rs10781380 lBF = `-0.10469` Chr`9` : `79,408,144`	0.000	0.999	0.000
rs717423 lBF = `-0.104788` Chr`9` : `3,844,061`	0.000	0.999	0.000
rs4075163 lBF = `-0.105383` Chr`9` : `91,599,103`	0.000	0.999	0.000
rs6475216 lBF = `-0.11927` Chr`9` : `18,444,138`	0.000	0.999	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	0.999	0.000
rs573687 lBF = `96.1061` Chr`9` : `22,011,642`	0.000	0.999	0.000
rs2095044 lBF = `42.5068` Chr`9` : `6,192,796`	0.000	0.999	0.000
rs1412425 lBF = `25.8146` Chr`9` : `6,188,740`	0.000	0.999	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.000	0.999	0.000
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.000	0.999	0.000
rs36051895 lBF = `13.7128` Chr`9` : `4,981,866`	0.000	0.999	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.000	0.999	0.000
rs7018475 lBF = `11.7667` Chr`9` : `22,137,685`	0.000	0.999	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	0.999	0.000
rs17694493 lBF = `9.13598` Chr`9` : `22,041,998`	0.000	0.999	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.000	0.999	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.000	0.999	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.000	0.999	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	0.999	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.000	0.999	0.000
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.000	0.999	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	0.999	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	0.999	0.000
rs2282335 lBF = `0.377516` Chr`9` : `71,865,932`	0.000	0.999	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	0.999	0.000
rs10815381 lBF = `0.338114` Chr`9` : `6,226,289`	0.000	0.999	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	0.999	0.000
rs10780944 lBF = `0.313911` Chr`9` : `73,157,416`	0.000	0.999	0.000
rs1110183 lBF = `0.287755` Chr`9` : `38,456,365`	0.000	0.999	0.000
rs60588302 lBF = `0.264102` Chr`9` : `7,900,777`	0.000	0.999	0.000
rs7020553 lBF = `0.241302` Chr`9` : `76,710,284`	0.000	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	0.999	0.000
rs2378383 lBF = `0.163868` Chr`9` : `82,039,362`	0.000	0.999	0.000
rs7847231 lBF = `0.141595` Chr`9` : `118,209,071`	0.000	0.999	0.000
rs12379034 lBF = `0.109707` Chr`9` : `123,162,666`	0.000	0.999	0.000
rs11788518 lBF = `0.0996212` Chr`9` : `78,917,378`	0.000	0.999	0.000
rs2025875 lBF = `0.0783149` Chr`9` : `112,596,911`	0.000	0.999	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.000	0.999	0.000
rs961831 lBF = `0.0355171` Chr`9` : `22,362,104`	0.000	0.999	0.000
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.000	0.999	0.000
rs7020830 lBF = `0.0286682` Chr`9` : `37,085,184`	0.000	0.999	0.000
rs141215807 lBF = `0.0193868` Chr`9` : `19,213,634`	0.000	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	0.999	0.000
rs216345 lBF = `0.0130992` Chr`9` : `33,799,370`	0.000	0.999	0.000
rs10115586 lBF = `0.0123159` Chr`9` : `120,559,011`	0.000	0.999	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	0.999	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	0.999	0.000
rs2381628 lBF = `0.00781393` Chr`9` : `7,518,656`	0.000	0.999	0.000
rs16924631 lBF = `0.00615846` Chr`9` : `6,486,308`	0.000	0.999	0.000
rs4743820 lBF = `0.00585076` Chr`9` : `93,928,416`	0.000	0.999	0.000
rs10816359 lBF = `0.00477971` Chr`9` : `108,757,670`	0.000	0.999	0.000
rs10985375 lBF = `-0.00291493` Chr`9` : `124,549,642`	0.000	0.999	0.000
rs3919995 lBF = `-0.00926313` Chr`9` : `109,437,968`	0.000	0.999	0.000
rs912062 lBF = `-0.0103765` Chr`9` : `841,152`	0.000	0.999	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.000	0.999	0.000
rs10989661 lBF = `-0.0175431` Chr`9` : `104,622,868`	0.000	0.999	0.000
rs1888221 lBF = `-0.0206992` Chr`9` : `117,778,355`	0.000	0.999	0.000
rs296859 lBF = `-0.0255166` Chr`9` : `4,774,015`	0.000	0.999	0.000
rs7861820 lBF = `-0.0297725` Chr`9` : `108,936,674`	0.000	0.999	0.000
rs4979078 lBF = `-0.0336226` Chr`9` : `114,823,121`	0.000	0.999	0.000
rs10125054 lBF = `-0.0344302` Chr`9` : `114,798,037`	0.000	0.999	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	0.999	0.000
rs2777802 lBF = `-0.0467355` Chr`9` : `107,569,337`	0.000	0.999	0.000
rs17303101 lBF = `-0.054266` Chr`9` : `119,181,794`	0.000	0.999	0.000
rs59827721 lBF = `-0.0552673` Chr`9` : `13,844,678`	0.000	0.999	0.000
rs2820914 lBF = `-0.0559393` Chr`9` : `7,195,408`	0.000	0.999	0.000
rs4740829 lBF = `-0.0624501` Chr`9` : `5,881,364`	0.000	0.999	0.000
rs1147813 lBF = `-0.0661128` Chr`9` : `25,859,709`	0.000	0.999	0.000
rs10819861 lBF = `-0.0675875` Chr`9` : `98,867,813`	0.000	0.999	0.000
rs8177812 lBF = `-0.072232` Chr`9` : `116,151,527`	0.000	0.999	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

0.4802

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3831

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.5984

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5874

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5845

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5808

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5677

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5404

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5139

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5136

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5136

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5134

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5130

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5129

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5122

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5110

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5107

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5097

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5044

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5031

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4701

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4592

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4521

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4474

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4420

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4324

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4309

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4265

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4226

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3676

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2754

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2606

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2520

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2490

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2178

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2152

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2038

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1914

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1829

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1748

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1681

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1639

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1632

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1381

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1163

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1061

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0759

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0706

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0705

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0550

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0530

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0525

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`)