TreeWAS – [K25.1] 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
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.697	0.302	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.690	0.310	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.675	0.325	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.592	0.407	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.591	0.409	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.583	0.417	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.560	0.439	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.547	0.452	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.541	0.459	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.505	0.495	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.504	0.496	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.499	0.501	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.490	0.509	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.484	0.516	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.476	0.524	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.445	0.554	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.424	0.576	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.397	0.603	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.390	0.610	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.382	0.617	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.377	0.623	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.361	0.639	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.340	0.659	0.001
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.000	0.675	0.324
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.315	0.685	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.308	0.691	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.285	0.715	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.264	0.736	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.252	0.748	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.248	0.752	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.245	0.755	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.241	0.759	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.213	0.786	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.207	0.792	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.193	0.807	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.166	0.833	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.153	0.846	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.131	0.869	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.119	0.881	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.110	0.890	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.108	0.892	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.107	0.893	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.104	0.896	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.101	0.899	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.098	0.901	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.091	0.909	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.088	0.912	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.001	0.926	0.074
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.064	0.936	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.062	0.938	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.062	0.938	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.054	0.946	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.053	0.947	0.000
rs142535958 lBF = `0.0306832` Chr`11` : `101,876,343`	0.049	0.951	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.048	0.952	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.048	0.952	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.047	0.952	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.042	0.958	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.042	0.958	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.041	0.959	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.002	0.961	0.037
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.036	0.964	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.034	0.966	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.033	0.967	0.000
rs188240612 lBF = `0.0409753` Chr`11` : `101,944,494`	0.033	0.967	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.032	0.968	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.032	0.968	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.032	0.968	0.000
rs341075 lBF = `0.1134` Chr`11` : `72,257,963`	0.031	0.969	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.030	0.969	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.030	0.970	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.028	0.971	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.028	0.972	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.975	0.025
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.024	0.976	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.021	0.979	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.021	0.979	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.020	0.980	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.019	0.980	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.019	0.981	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.017	0.983	0.000
rs2444240 lBF = `1.83382` Chr`11` : `120,040,442`	0.016	0.984	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.016	0.984	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.016	0.984	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.015	0.984	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.015	0.985	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.014	0.985	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.014	0.986	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.013	0.986	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.013	0.987	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.013	0.987	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.012	0.987	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.012	0.988	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.012	0.988	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.011	0.989	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.010	0.990	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.010	0.990	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.010	0.990	0.000
rs12279250 lBF = `-0.0783881` Chr`11` : `21,565,079`	0.009	0.990	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.009	0.991	0.000
rs1128334 lBF = `-0.0275844` Chr`11` : `128,328,959`	0.009	0.991	0.000
rs433406 lBF = `-0.0509433` Chr`11` : `131,371,019`	0.009	0.991	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.008	0.992	0.000
rs10833905 lBF = `-0.0335163` Chr`11` : `23,044,592`	0.000	0.992	0.008
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.008	0.992	0.001
rs6590330 lBF = `-0.0252183` Chr`11` : `128,311,059`	0.007	0.993	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.007	0.993	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.007	0.993	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.006	0.994	0.000
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.006	0.994	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.006	0.994	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.006	0.994	0.001
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.006	0.994	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.005	0.995	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.005	0.995	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.005	0.995	0.000
rs1568889 lBF = `-0.0421139` Chr`11` : `28,009,463`	0.005	0.995	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.005	0.995	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.004	0.995	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.004	0.995	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.004	0.996	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.004	0.996	0.000
rs1318862 lBF = `-0.0800397` Chr`11` : `92,007,101`	0.004	0.996	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.004	0.996	0.000
rs11237982 lBF = `-0.0114556` Chr`11` : `79,441,694`	0.004	0.996	0.000
rs12803321 lBF = `-0.0230484` Chr`11` : `118,480,115`	0.004	0.996	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.004	0.996	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.003	0.996	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.003	0.996	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.000	0.996	0.003
rs2126709 lBF = `0.0684612` Chr`11` : `123,595,927`	0.000	0.997	0.003
rs1474107 lBF = `0.00057069` Chr`11` : `36,790,685`	0.003	0.997	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.003	0.997	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.003	0.997	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.003	0.997	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.003	0.997	0.000
rs11601602 lBF = `-0.0281876` Chr`11` : `28,233,768`	0.003	0.997	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.003	0.997	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.003	0.997	0.000
rs1791933 lBF = `-0.0335508` Chr`11` : `72,894,848`	0.003	0.997	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.002	0.997	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.002	0.997	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.002	0.997	0.000
rs11041816 lBF = `-0.0883044` Chr`11` : `8,243,798`	0.002	0.997	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.002	0.997	0.000
rs7112383 lBF = `0.00706339` Chr`11` : `26,741,262`	0.002	0.997	0.000
rs11032483 lBF = `33.5508` Chr`11` : `4,515,024`	0.000	0.997	0.002
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.002	0.998	0.000
rs192772225 lBF = `0.00472722` Chr`11` : `84,048,202`	0.002	0.998	0.000
rs3842770 lBF = `0.00315047` Chr`11` : `2,178,670`	0.002	0.998	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.001	0.998	0.001
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.002	0.998	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.002	0.998	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.002	0.998	0.000
rs2373115 lBF = `1.47489` Chr`11` : `78,091,150`	0.002	0.998	0.000
rs11825259 lBF = `0.00141418` Chr`11` : `33,806,822`	0.000	0.998	0.002
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.001	0.998	0.001
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.002	0.998	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.002	0.998	0.000
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.002	0.998	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.002	0.998	0.000
rs12789145 lBF = `0.0100017` Chr`11` : `94,407,736`	0.002	0.998	0.000
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.001	0.998	0.000
rs78894156 lBF = `0.00106884` Chr`11` : `17,642,129`	0.001	0.998	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.002	0.998	0.000
rs2075291 lBF = `0.00120857` Chr`11` : `116,661,392`	0.001	0.998	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.002	0.998	0.000
rs11034653 lBF = `0.0205526` Chr`11` : `38,288,593`	0.002	0.998	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.001	0.998	0.000
rs12291066 lBF = `0.00106971` Chr`11` : `12,235,160`	0.001	0.998	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.001	0.998	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.001	0.998	0.001
rs12294076 lBF = `0.00089461` Chr`11` : `103,127,065`	0.001	0.998	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.001	0.998	0.001
rs139675748 lBF = `0.00416191` Chr`11` : `43,633,208`	0.001	0.998	0.000
rs648044 lBF = `-0.0515173` Chr`11` : `114,030,799`	0.001	0.998	0.000
rs11213935 lBF = `0.00005326` Chr`11` : `111,411,608`	0.001	0.998	0.000
rs4474465 lBF = `0.141255` Chr`11` : `78,204,380`	0.000	0.998	0.001
rs12098973 lBF = `0.061651` Chr`11` : `131,807,171`	0.001	0.998	0.000
rs510398 lBF = `0.0006326` Chr`11` : `66,054,823`	0.001	0.998	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.001	0.998	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.001	0.999	0.000
rs35295995 lBF = `0.0896418` Chr`11` : `21,046,427`	0.000	0.999	0.001
rs2463822 lBF = `0.129393` Chr`11` : `62,103,420`	0.001	0.999	0.000
rs11027293 lBF = `0.00062009` Chr`11` : `23,552,453`	0.001	0.999	0.000
rs12291225 lBF = `-0.0659913` Chr`11` : `14,256,184`	0.001	0.999	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.001	0.999	0.001
rs7129556 lBF = `0.545719` Chr`11` : `77,300,048`	0.000	0.999	0.001
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.001	0.999	0.000
rs4287304 lBF = `0.00044063` Chr`11` : `16,559,630`	0.001	0.999	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.001	0.999	0.000
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.001	0.999	0.000
rs12099085 lBF = `0.00084586` Chr`11` : `63,666,944`	0.001	0.999	0.000
rs117601636 lBF = `0.00063792` Chr`11` : `2,642,037`	0.001	0.999	0.000
rs2521269 lBF = `-0.0320644` Chr`11` : `2,321,095`	0.001	0.999	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.001	0.999	0.000
rs16912210 lBF = `0.00032303` Chr`11` : `5,263,853`	0.001	0.999	0.000
rs11022157 lBF = `-0.0653793` Chr`11` : `2,322,829`	0.000	0.999	0.001
rs4366490 lBF = `0.0112394` Chr`11` : `62,912,854`	0.001	0.999	0.000
rs11038167 lBF = `-0.00734023` Chr`11` : `44,843,134`	0.001	0.999	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.001	0.999	0.000
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rs12806663 lBF = `0.123172` Chr`11` : `62,001,414`	0.000	0.999	0.000
rs3829251 lBF = `0.0522889` Chr`11` : `71,194,559`	0.000	0.999	0.000
rs145803288 lBF = `-0.00159251` Chr`11` : `122,490,659`	0.000	0.999	0.000
rs4611189 lBF = `-0.00435884` Chr`11` : `40,837,713`	0.000	0.999	0.000
rs1943345 lBF = `-0.0475349` Chr`11` : `82,876,270`	0.000	0.999	0.000
rs10767942 lBF = `5.97094` Chr`11` : `32,522,007`	0.000	0.999	0.000
rs10500871 lBF = `0.155893` Chr`11` : `20,215,756`	0.000	0.999	0.000
rs17817600 lBF = `0.03386` Chr`11` : `85,677,471`	0.000	0.999	0.000
rs73469144 lBF = `0.00308599` Chr`11` : `21,504,900`	0.000	0.999	0.000
rs76239813 lBF = `-0.00589824` Chr`11` : `124,909,582`	0.000	0.999	0.000
rs4627050 lBF = `-0.0889888` Chr`11` : `18,822,037`	0.000	0.999	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.000	0.999	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.000	0.999	0.000
rs3741240 lBF = `0.425454` Chr`11` : `62,186,542`	0.000	0.999	0.000
rs4129601 lBF = `0.11096` Chr`11` : `42,874,002`	0.000	0.999	0.000
rs2237886 lBF = `0.0620385` Chr`11` : `2,810,731`	0.000	0.999	0.000
rs498872 lBF = `0.0386697` Chr`11` : `118,477,367`	0.000	0.999	0.000
rs61883261 lBF = `0.0348724` Chr`11` : `20,984,205`	0.000	0.999	0.000
rs117767473 lBF = `0.00381954` Chr`11` : `70,326,593`	0.000	0.999	0.000
rs110419 lBF = `-0.113915` Chr`11` : `8,252,853`	0.000	0.999	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.000	0.999	0.000
rs117020818 lBF = `0.0207717` Chr`11` : `13,129,163`	0.000	0.999	0.000
rs55770291 lBF = `0.0173265` Chr`11` : `76,922,581`	0.000	0.999	0.000
rs11037473 lBF = `0.0112504` Chr`11` : `43,576,067`	0.000	0.999	0.000
rs1483121 lBF = `0.00326408` Chr`11` : `48,333,360`	0.000	0.999	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.000	1.000	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.000	1.000	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.000	1.000	0.000
rs4754317 lBF = `11.7391` Chr`11` : `108,359,161`	0.000	1.000	0.000
rs3135506 lBF = `8.9619` Chr`11` : `116,662,407`	0.000	1.000	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.000	1.000	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.000	1.000	0.000
rs7107174 lBF = `3.41672` Chr`11` : `77,997,936`	0.000	1.000	0.000
rs1520896 lBF = `0.21579` Chr`11` : `20,269,390`	0.000	1.000	0.000
rs150829342 lBF = `0.101576` Chr`11` : `83,818,329`	0.000	1.000	0.000
rs5743894 lBF = `0.0829947` Chr`11` : `1,324,772`	0.000	1.000	0.000
rs7951870 lBF = `0.0569832` Chr`11` : `46,373,311`	0.000	1.000	0.000
rs77301713 lBF = `0.0111437` Chr`11` : `76,832,446`	0.000	1.000	0.000
rs61880854 lBF = `0.00868039` Chr`11` : `4,824,628`	0.000	1.000	0.000
rs138753278 lBF = `-0.00094256` Chr`11` : `60,194,814`	0.000	1.000	0.000
rs80315173 lBF = `-0.0103627` Chr`11` : `20,513,725`	0.000	1.000	0.000
rs7931462 lBF = `-0.0201558` Chr`11` : `92,784,203`	0.000	1.000	0.000
rs78015633 lBF = `-0.0203305` Chr`11` : `40,876,586`	0.000	1.000	0.000
rs10796849 lBF = `-0.052239` Chr`11` : `69,602,412`	0.000	1.000	0.000
rs2186903 lBF = `-0.0597725` Chr`11` : `107,756,551`	0.000	1.000	0.000
rs1945380 lBF = `-0.0697223` Chr`11` : `80,418,965`	0.000	1.000	0.000
rs286905 lBF = `-0.0790336` Chr`11` : `34,662,961`	0.000	1.000	0.000
rs11216435 lBF = `-0.0840038` Chr`11` : `117,388,932`	0.000	1.000	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.000	1.000	0.000
rs11019935 lBF = `2.26067` Chr`11` : `88,174,968`	0.000	1.000	0.000
rs7130144 lBF = `0.754036` Chr`11` : `130,480,592`	0.000	1.000	0.000
rs10437629 lBF = `0.503363` Chr`11` : `33,588,210`	0.000	1.000	0.000
rs750338 lBF = `0.50138` Chr`11` : `125,172,593`	0.000	1.000	0.000
rs16910421 lBF = `-0.0147157` Chr`11` : `12,070,665`	0.000	1.000	0.000
rs494459 lBF = `-0.0397651` Chr`11` : `118,574,675`	0.000	1.000	0.000
rs7129220 lBF = `-0.0591923` Chr`11` : `10,350,538`	0.000	1.000	0.000
rs606460 lBF = `-0.100179` Chr`11` : `75,248,457`	0.000	1.000	0.000
rs12799172 lBF = `-0.10953` Chr`11` : `6,750,057`	0.000	1.000	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.000	1.000	0.000
rs174570 lBF = `6.39826` Chr`11` : `61,597,212`	0.000	1.000	0.000
rs3902018 lBF = `5.78455` Chr`11` : `74,269,817`	0.000	1.000	0.000
rs638882 lBF = `0.0147037` Chr`11` : `115,764,045`	0.000	1.000	0.000
rs11041530 lBF = `0.00760206` Chr`11` : `7,701,503`	0.000	1.000	0.000
rs992564 lBF = `-0.00362761` Chr`11` : `131,336,074`	0.000	1.000	0.000
rs2566255 lBF = `-0.00874209` Chr`11` : `4,605,195`	0.000	1.000	0.000
rs4237643 lBF = `-0.0320566` Chr`11` : `43,648,368`	0.000	1.000	0.000
rs2847476 lBF = `-0.0829461` Chr`11` : `114,191,016`	0.000	1.000	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.000	1.000	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.000	1.000	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.000	1.000	0.000
rs11031942 lBF = `11.1061` Chr`11` : `32,722,089`	0.000	1.000	0.000
rs72910057 lBF = `5.59425` Chr`11` : `46,331,362`	0.000	1.000	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.000	1.000	0.000
rs12280753 lBF = `4.37892` Chr`11` : `116,613,660`	0.000	1.000	0.000
rs11031002 lBF = `2.08514` Chr`11` : `30,215,261`	0.000	1.000	0.000
rs954123 lBF = `1.41256` Chr`11` : `12,494,301`	0.000	1.000	0.000
rs7105056 lBF = `1.0249` Chr`11` : `112,064,431`	0.000	1.000	0.000
rs3903072 lBF = `0.725656` Chr`11` : `65,583,066`	0.000	1.000	0.000
rs116875324 lBF = `0.721333` Chr`11` : `121,206,449`	0.000	1.000	0.000
rs11826937 lBF = `0.375403` Chr`11` : `78,659,145`	0.000	1.000	0.000
rs4930561 lBF = `0.144082` Chr`11` : `67,931,761`	0.000	1.000	0.000
rs12786942 lBF = `0.123568` Chr`11` : `101,394,765`	0.000	1.000	0.000
rs477895 lBF = `0.113238` Chr`11` : `64,048,912`	0.000	1.000	0.000
rs4938642 lBF = `0.0964366` Chr`11` : `119,099,906`	0.000	1.000	0.000
rs7948661 lBF = `0.0354698` Chr`11` : `118,341,649`	0.000	1.000	0.000
rs544368 lBF = `0.0101347` Chr`11` : `124,537,995`	0.000	1.000	0.000
rs117325735 lBF = `0.00328616` Chr`11` : `105,277,570`	0.000	1.000	0.000
rs10501920 lBF = `0.00134775` Chr`11` : `99,493,173`	0.000	1.000	0.000
rs11825709 lBF = `-0.00448214` Chr`11` : `93,704,049`	0.000	1.000	0.000
rs11021169 lBF = `-0.0125748` Chr`11` : `95,200,427`	0.000	1.000	0.000
rs1426153 lBF = `-0.0534343` Chr`11` : `125,170,639`	0.000	1.000	0.000
rs7123770 lBF = `-0.0834801` Chr`11` : `127,558,438`	0.000	1.000	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.000	1.000	0.000
rs651821 lBF = `16.9488` Chr`11` : `116,662,579`	0.000	1.000	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4475

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4413

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7153

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7135

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7133

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7109

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7101

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7090

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7086

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6938

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6719

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6581

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6500

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6333

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6094

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6024

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5946

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5935

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5715

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5516

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4812

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4504

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4503

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4284

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3860

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3801

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3591

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3407

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3344

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3329

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2723

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2381

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2353

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2328

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2029

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1904

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1686

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1319

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0717

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0687

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0627

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0606

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0542

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`)