TreeWAS – [I31.8] Other specified diseases of pericardium

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
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.707	0.293	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.702	0.298	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.701	0.299	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.697	0.303	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.696	0.304	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.695	0.304	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.695	0.305	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.694	0.306	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.693	0.307	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.693	0.307	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.689	0.311	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.689	0.311	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.687	0.313	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.687	0.313	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.686	0.314	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.686	0.314	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.685	0.314	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.683	0.316	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.683	0.317	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.683	0.317	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.682	0.318	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.681	0.319	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.681	0.319	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.680	0.320	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.680	0.320	0.000
rs41272114 lBF = `9.8013` Chr`6` : `161,006,077`	0.000	0.321	0.679
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	0.679	0.321	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.678	0.322	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.677	0.323	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.675	0.325	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.673	0.326	0.000
rs2315065 lBF = `275.304` Chr`6` : `161,108,144`	0.673	0.327	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.671	0.329	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.670	0.330	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.667	0.333	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.667	0.333	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	0.000	0.333	0.667
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.666	0.334	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.666	0.334	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.666	0.334	0.000
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.336	0.664
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.664	0.336	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.664	0.336	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.663	0.337	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.662	0.338	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.661	0.339	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.660	0.340	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.660	0.340	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.660	0.340	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.659	0.341	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.658	0.341	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.658	0.342	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.657	0.343	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.657	0.343	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.657	0.343	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.656	0.344	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.655	0.345	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.654	0.345	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.654	0.346	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.653	0.347	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	0.347	0.653
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.653	0.347	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.653	0.347	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.652	0.347	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.652	0.347	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.652	0.348	0.000
rs3131283 lBF = `148.813` Chr`6` : `32,119,898`	0.000	0.349	0.651
rs483465 lBF = `19.2338` Chr`3` : `136,047,977`	0.651	0.349	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.651	0.349	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.650	0.349	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.650	0.350	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.650	0.350	0.000
rs3130283 lBF = `157.559` Chr`6` : `32,138,545`	0.000	0.350	0.650
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.649	0.351	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.649	0.351	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.648	0.352	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.647	0.353	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.647	0.353	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.646	0.354	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.646	0.354	0.000
rs1800684 lBF = `146.577` Chr`6` : `32,151,994`	0.000	0.355	0.645
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.644	0.356	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.644	0.356	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.643	0.357	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.642	0.357	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.642	0.358	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.642	0.358	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.642	0.358	0.000
rs3134943 lBF = `147.398` Chr`6` : `32,147,761`	0.000	0.358	0.642
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.642	0.358	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.642	0.358	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.642	0.358	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.641	0.358	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.641	0.358	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.640	0.359	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.640	0.360	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.640	0.360	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.640	0.360	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.640	0.360	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.639	0.360	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.639	0.361	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.639	0.361	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.639	0.361	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.638	0.362	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.638	0.362	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.636	0.363	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.636	0.363	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.636	0.364	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.636	0.364	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.635	0.365	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.634	0.365	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.634	0.366	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.634	0.366	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.633	0.366	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.633	0.367	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.633	0.367	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.633	0.367	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.633	0.367	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.633	0.367	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.632	0.368	0.000
rs12209307 lBF = `5.28684` Chr`6` : `95,418,039`	0.632	0.368	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.632	0.368	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.632	0.368	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.632	0.368	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.632	0.368	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.631	0.369	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.631	0.369	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.631	0.369	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.631	0.369	0.000
rs3134604 lBF = `138.673` Chr`6` : `32,122,386`	0.000	0.369	0.631
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.631	0.369	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.631	0.369	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.630	0.369	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.630	0.370	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.630	0.370	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.630	0.370	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.630	0.370	0.000
rs3132946 lBF = `156.439` Chr`6` : `32,190,028`	0.000	0.370	0.630
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.629	0.371	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.629	0.371	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.628	0.372	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.628	0.372	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.627	0.373	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.627	0.373	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.627	0.373	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.627	0.373	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.627	0.373	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.627	0.373	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.626	0.374	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.626	0.374	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.626	0.374	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.625	0.374	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.625	0.375	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.625	0.375	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.625	0.375	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.625	0.375	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.625	0.375	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.625	0.375	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.624	0.376	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.624	0.376	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.624	0.376	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.624	0.376	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.623	0.376	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.623	0.377	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.623	0.377	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.623	0.377	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.622	0.378	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.622	0.378	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.622	0.378	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.622	0.378	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.621	0.378	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.621	0.379	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.621	0.379	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.621	0.379	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.621	0.379	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.620	0.380	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.620	0.380	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.620	0.380	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.619	0.380	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.619	0.380	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.618	0.381	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.618	0.382	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.618	0.382	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.617	0.382	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.617	0.383	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.616	0.384	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.616	0.384	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.615	0.384	0.000
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.615	0.385	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.615	0.385	0.000
rs3132940 lBF = `160.057` Chr`6` : `32,161,396`	0.000	0.385	0.615
rs1044506 lBF = `157.763` Chr`6` : `32,172,065`	0.000	0.385	0.615
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.614	0.386	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.614	0.386	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.613	0.387	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.613	0.387	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.613	0.387	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.612	0.387	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.612	0.388	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.612	0.388	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.612	0.388	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.611	0.389	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.611	0.389	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.611	0.389	0.000
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rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.566	0.434	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.565	0.434	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.565	0.435	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.565	0.435	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.565	0.435	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.565	0.435	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.564	0.435	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.564	0.435	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.564	0.436	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.564	0.436	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.564	0.436	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.564	0.436	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.564	0.436	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.564	0.436	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.563	0.437	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.563	0.437	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.563	0.437	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.562	0.437	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.562	0.437	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.562	0.438	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.562	0.438	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.562	0.438	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.562	0.438	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.561	0.438	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.561	0.438	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.561	0.439	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.561	0.439	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.561	0.439	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.561	0.439	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.561	0.439	0.000
rs3134954 lBF = `147.413` Chr`6` : `32,071,893`	0.000	0.439	0.560
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.560	0.440	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.560	0.440	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.560	0.440	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.560	0.440	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.560	0.440	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.560	0.440	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.560	0.440	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.560	0.440	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.560	0.440	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.559	0.441	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.559	0.441	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.559	0.441	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.559	0.441	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.558	0.441	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.558	0.442	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.558	0.442	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.558	0.442	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.558	0.442	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.558	0.442	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.558	0.442	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.558	0.442	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.557	0.443	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.557	0.443	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.557	0.443	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.557	0.443	0.000
rs2039631 lBF = `5.35076` Chr`1` : `9,068,020`	0.557	0.443	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.557	0.443	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.556	0.444	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.556	0.444	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.556	0.444	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.556	0.444	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.556	0.444	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.556	0.444	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.556	0.444	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.556	0.444	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.555	0.444	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.555	0.444	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.555	0.445	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.555	0.445	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.554	0.445	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.555	0.445	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.554	0.445	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.446	0.554
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.554	0.446	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.553	0.446	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.553	0.447	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.553	0.447	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.553	0.447	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.553	0.447	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.553	0.447	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.553	0.447	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.552	0.447	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.552	0.448	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.552	0.448	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.551	0.448	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.551	0.448	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.551	0.449	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.551	0.449	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.551	0.449	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.551	0.449	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.551	0.449	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.551	0.449	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.551	0.449	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4928

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4533

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1530

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0526

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7167

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7164

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7158

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7156

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7154

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7147

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7141

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7100

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7090

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7084

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7059

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7051

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7043

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7034

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7022

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7009

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7005

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6997

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6969

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6922

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6857

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6787

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6593

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6552

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6398

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6395

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6290

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6273

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6234

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6154

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6130

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6020

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6014

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6008

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5962

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5929

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5850

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5827

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5790

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5763

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5657

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5595

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5514

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5395

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5373

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5314

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5280

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5234

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5226

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5113

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5047

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5045

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5039

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4955

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4926

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4876

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4846

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4837

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4763

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4662

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4555

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4491

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4483

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.4381

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4367

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4213

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4201

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4159

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3980

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3958

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3939

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3893

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3869

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3855

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3836

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3797

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3757

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3693

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3514

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3497

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3419

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3396

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3334

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3250

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3191

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3129

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3105

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3039

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2999

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2909

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2806

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2722

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2631

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2550

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2539

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2538

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2525

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2404

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2380

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2354

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2222

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2187

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2139

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2139

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2041

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2015

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2010

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1986

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1971

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1962

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1943

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1937

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1780

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1722

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1671

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1654

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1636

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1554

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1503

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1497

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1454

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1447

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1438

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1429

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1397

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1369

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1364

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1356

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1339

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1332

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1282

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1277

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1265

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1223

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1223

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1221

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1143

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1091

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1045

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1040

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0998

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0968

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0932

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0920

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0655

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0508

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`)