TreeWAS – [K27.0] Acute with haemorrhage

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
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.577	0.423	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.567	0.433	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.556	0.443	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.525	0.475	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.514	0.486	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.514	0.486	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.506	0.494	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.496	0.504	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.000	0.504	0.496
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.489	0.511	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.479	0.521	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.460	0.539	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.444	0.556	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.443	0.556	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.441	0.559	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.432	0.568	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.427	0.572	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.427	0.573	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.416	0.584	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.409	0.591	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.408	0.592	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.405	0.595	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.387	0.613	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.380	0.620	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.378	0.622	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.339	0.661	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.336	0.664	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.319	0.681	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.270	0.730	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.265	0.734	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
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.245	0.755	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.234	0.766	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.232	0.768	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.165	0.835	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.160	0.840	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.147	0.853	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.144	0.856	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.137	0.863	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.119	0.881	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.118	0.882	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.096	0.904	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.094	0.905	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.089	0.911	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.085	0.914	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.001	0.919	0.081
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.081	0.919	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.078	0.921	0.000
rs2444240 lBF = `1.83382` Chr`11` : `120,040,442`	0.075	0.925	0.001
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.073	0.927	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.068	0.931	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.065	0.935	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.062	0.937	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.054	0.946	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.053	0.947	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.002	0.949	0.048
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.048	0.952	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.044	0.955	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.043	0.957	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.042	0.958	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.042	0.958	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.040	0.960	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.036	0.964	0.000
rs142535958 lBF = `0.0306832` Chr`11` : `101,876,343`	0.035	0.965	0.000
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.033	0.967	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.033	0.967	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.030	0.970	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.030	0.970	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.029	0.971	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.028	0.972	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.024	0.975	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.024	0.975	0.000
rs341075 lBF = `0.1134` Chr`11` : `72,257,963`	0.023	0.976	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.023	0.977	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.022	0.977	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.022	0.978	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.021	0.979	0.000
rs188240612 lBF = `0.0409753` Chr`11` : `101,944,494`	0.021	0.979	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.980	0.019
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.019	0.981	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.018	0.981	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.018	0.981	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.017	0.982	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.017	0.983	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.017	0.983	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.015	0.985	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.015	0.985	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.014	0.986	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.013	0.987	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.013	0.987	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.012	0.987	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.012	0.988	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.012	0.988	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.012	0.988	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.011	0.989	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.011	0.989	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.011	0.989	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.010	0.989	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.009	0.990	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.009	0.991	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.009	0.991	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.008	0.992	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.008	0.992	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.007	0.992	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.007	0.992	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.007	0.993	0.000
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.006	0.994	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.006	0.994	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.006	0.994	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.006	0.994	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.005	0.994	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.005	0.995	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.005	0.995	0.000
rs55904328 lBF = `-0.0335371` Chr`11` : `76,267,477`	0.005	0.995	0.000
rs11032483 lBF = `33.5508` Chr`11` : `4,515,024`	0.000	0.995	0.005
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.004	0.995	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.004	0.995	0.000
rs6592645 lBF = `9.03817` Chr`11` : `76,271,005`	0.004	0.996	0.000
rs7130588 lBF = `9.52639` Chr`11` : `76,270,683`	0.004	0.996	0.000
rs11231017 lBF = `-0.0354165` Chr`11` : `62,061,349`	0.004	0.996	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.004	0.996	0.000
rs931127 lBF = `0.188492` Chr`11` : `65,405,300`	0.004	0.996	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.003	0.996	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.003	0.996	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.003	0.997	0.000
rs2212434 lBF = `18.7953` Chr`11` : `76,281,593`	0.003	0.997	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.003	0.997	0.000
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
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.003	0.997	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.003	0.997	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.003	0.997	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.003	0.997	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.003	0.997	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.003	0.997	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.003	0.997	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.002	0.997	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.003	0.997	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.002	0.997	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.002	0.997	0.000
rs61893460 lBF = `18.3707` Chr`11` : `76,291,154`	0.002	0.997	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.002	0.997	0.000
rs7112383 lBF = `0.00706339` Chr`11` : `26,741,262`	0.002	0.997	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.002	0.997	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.002	0.997	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.002	0.998	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.002	0.998	0.001
rs11236797 lBF = `18.4853` Chr`11` : `76,299,649`	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
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.002	0.998	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.002	0.998	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.002	0.998	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.002	0.998	0.000
rs7927997 lBF = `9.71466` Chr`11` : `76,301,375`	0.002	0.998	0.000
rs11825259 lBF = `0.00141418` Chr`11` : `33,806,822`	0.000	0.998	0.002
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.002	0.998	0.000
rs1944146 lBF = `-0.0156224` Chr`11` : `130,690,162`	0.000	0.998	0.002
rs7927894 lBF = `9.5645` Chr`11` : `76,301,316`	0.002	0.998	0.000
rs10751226 lBF = `0.392421` Chr`11` : `73,312,252`	0.002	0.998	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.002	0.998	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.002	0.998	0.000
rs78894156 lBF = `0.00106884` Chr`11` : `17,642,129`	0.001	0.998	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.002	0.998	0.000
rs1155410 lBF = `0.117768` Chr`11` : `96,667,409`	0.002	0.998	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.002	0.998	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.002	0.998	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.001	0.998	0.000
rs2075291 lBF = `0.00120857` Chr`11` : `116,661,392`	0.001	0.998	0.000
rs139675748 lBF = `0.00416191` Chr`11` : `43,633,208`	0.001	0.998	0.000
rs11034653 lBF = `0.0205526` Chr`11` : `38,288,593`	0.001	0.998	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.001	0.998	0.000
rs12291066 lBF = `0.00106971` Chr`11` : `12,235,160`	0.001	0.998	0.000
rs12294076 lBF = `0.00089461` Chr`11` : `103,127,065`	0.001	0.998	0.000
rs11213935 lBF = `0.00005326` Chr`11` : `111,411,608`	0.001	0.998	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.001	0.998	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.001	0.998	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.001	0.998	0.000
rs510398 lBF = `0.0006326` Chr`11` : `66,054,823`	0.001	0.998	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.001	0.998	0.000
rs1528753 lBF = `0.0037669` Chr`11` : `90,884,339`	0.000	0.998	0.001
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.001	0.999	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.001	0.999	0.000
rs111321694 lBF = `0.0678669` Chr`11` : `110,950,386`	0.001	0.999	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.001	0.999	0.000
rs12801636 lBF = `3.74717` Chr`11` : `65,391,317`	0.001	0.999	0.000
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.001	0.999	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.001	0.999	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.001	0.999	0.000
rs58950470 lBF = `0.0625203` Chr`11` : `65,383,755`	0.000	0.999	0.001
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.001	0.999	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.001	0.999	0.000
rs2078267 lBF = `-0.0674601` Chr`11` : `64,334,114`	0.001	0.999	0.000
rs4287304 lBF = `0.00044063` Chr`11` : `16,559,630`	0.001	0.999	0.000
rs1355223 lBF = `-0.0384717` Chr`11` : `34,764,479`	0.001	0.999	0.000
rs2271001 lBF = `-0.0864267` Chr`11` : `19,167,850`	0.001	0.999	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	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
rs11038167 lBF = `-0.00734023` Chr`11` : `44,843,134`	0.001	0.999	0.000
rs2155219 lBF = `20.9847` Chr`11` : `76,299,194`	0.000	0.999	0.001
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rs474951 lBF = `0.0957292` Chr`11` : `59,838,621`	0.000	0.999	0.000
rs12281359 lBF = `0.0524276` Chr`11` : `70,417,181`	0.000	0.999	0.000
rs12421301 lBF = `0.0183694` Chr`11` : `41,219,414`	0.000	0.999	0.000
rs4938933 lBF = `-0.0417139` Chr`11` : `60,034,429`	0.000	0.999	0.000
rs1996369 lBF = `-0.0551592` Chr`11` : `35,495,441`	0.000	0.999	0.000
rs505404 lBF = `-0.0761997` Chr`11` : `243,268`	0.000	0.999	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.000	0.999	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.000	0.999	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.000	0.999	0.000
rs174555 lBF = `2.86791` Chr`11` : `61,579,760`	0.001	0.999	0.000
rs174549 lBF = `2.76752` Chr`11` : `61,571,382`	0.001	0.999	0.000
rs147831109 lBF = `0.459381` Chr`11` : `23,382,361`	0.000	0.999	0.000
rs4307732 lBF = `0.380343` Chr`11` : `126,244,955`	0.000	0.999	0.000
rs2072114 lBF = `0.364143` Chr`11` : `61,605,215`	0.000	0.999	0.000
rs1346220 lBF = `-0.00088597` Chr`11` : `12,480,087`	0.000	0.999	0.000
rs595018 lBF = `-0.028221` Chr`11` : `60,592,276`	0.000	0.999	0.000
rs1562990 lBF = `-0.0452338` Chr`11` : `60,023,087`	0.000	0.999	0.000
rs77988765 lBF = `-0.0500799` Chr`11` : `70,057,585`	0.000	0.999	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.000	0.999	0.000
rs7350481 lBF = `11.4127` Chr`11` : `116,586,283`	0.000	0.999	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.000	0.999	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.000	0.999	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.000	0.999	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.000	0.999	0.000
rs957140 lBF = `2.69115` Chr`11` : `89,201,627`	0.000	0.999	0.000
rs58688157 lBF = `2.66143` Chr`11` : `625,085`	0.000	0.999	0.000
rs739401 lBF = `0.0170058` Chr`11` : `3,036,324`	0.000	0.999	0.000
rs7107217 lBF = `0.0118577` Chr`11` : `129,473,690`	0.000	0.999	0.000
rs117767473 lBF = `0.00381954` Chr`11` : `70,326,593`	0.000	0.999	0.000
rs4910742 lBF = `-0.00170378` Chr`11` : `5,306,509`	0.000	0.999	0.000
rs7947981 lBF = `-0.00475743` Chr`11` : `2,626,334`	0.000	0.999	0.000
rs472926 lBF = `-0.0250718` Chr`11` : `125,905,258`	0.000	0.999	0.000
rs874426 lBF = `-0.0417713` Chr`11` : `19,569,563`	0.000	0.999	0.000
rs10501570 lBF = `-0.0672731` Chr`11` : `84,417,846`	0.000	0.999	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.000	0.999	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.000	0.999	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.000	0.999	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.999	0.000
rs1352075 lBF = `0.613911` Chr`11` : `69,457,293`	0.000	0.999	0.000
rs4569005 lBF = `0.0499382` Chr`11` : `21,058,731`	0.000	0.999	0.000
rs498872 lBF = `0.0386697` Chr`11` : `118,477,367`	0.000	0.999	0.000
rs28362944 lBF = `0.0322119` Chr`11` : `57,365,723`	0.000	0.999	0.000
rs1670685 lBF = `-0.00512014` Chr`11` : `83,892,524`	0.000	0.999	0.000
rs11026318 lBF = `-0.0376708` Chr`11` : `21,896,880`	0.000	0.999	0.000
rs2077224 lBF = `-0.0510003` Chr`11` : `62,197,427`	0.000	0.999	0.000
rs6578985 lBF = `-0.0512918` Chr`11` : `2,138,139`	0.000	0.999	0.000
rs2857891 lBF = `-0.0599076` Chr`11` : `6,962,957`	0.000	0.999	0.000
rs652722 lBF = `-0.0774771` Chr`11` : `31,905,534`	0.000	0.999	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.000	0.999	0.000
rs28927680 lBF = `7.57541` Chr`11` : `116,619,073`	0.000	0.999	0.000
rs11825181 lBF = `7.077` Chr`11` : `116,626,258`	0.000	0.999	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.000	0.999	0.000
rs7932354 lBF = `1.31806` Chr`11` : `46,722,221`	0.000	0.999	0.000
rs2852894 lBF = `0.908148` Chr`11` : `102,155,474`	0.000	0.999	0.000
rs80040504 lBF = `0.731954` Chr`11` : `120,337,712`	0.000	0.999	0.000
rs77216358 lBF = `0.569425` Chr`11` : `120,311,157`	0.000	0.999	0.000
rs747650 lBF = `0.292388` Chr`11` : `47,176,005`	0.000	0.999	0.000
rs150829342 lBF = `0.101576` Chr`11` : `83,818,329`	0.000	0.999	0.000
rs117983694 lBF = `0.079172` Chr`11` : `85,396,880`	0.000	0.999	0.000
rs2507838 lBF = `0.0593346` Chr`11` : `58,472,799`	0.000	0.999	0.000
rs4756059 lBF = `0.0408302` Chr`11` : `46,150,619`	0.000	0.999	0.000
rs7111546 lBF = `0.0240769` Chr`11` : `22,829,757`	0.000	0.999	0.000
rs2727261 lBF = `0.0199689` Chr`11` : `61,712,131`	0.000	0.999	0.000
rs11037473 lBF = `0.0112504` Chr`11` : `43,576,067`	0.000	0.999	0.000
rs7128311 lBF = `0.00968936` Chr`11` : `20,562,519`	0.000	0.999	0.000
rs145803288 lBF = `-0.00159251` Chr`11` : `122,490,659`	0.000	0.999	0.000
rs11220463 lBF = `-0.0171344` Chr`11` : `126,248,211`	0.000	0.999	0.000
rs7121538 lBF = `-0.0500326` Chr`11` : `14,504,463`	0.000	0.999	0.000
rs7114467 lBF = `-0.0738889` Chr`11` : `15,457,467`	0.000	0.999	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.000	0.999	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.000	0.999	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.000	0.999	0.000
rs11820589 lBF = `7.83633` Chr`11` : `116,633,862`	0.000	0.999	0.000
rs61528732 lBF = `1.85783` Chr`11` : `120,212,601`	0.000	0.999	0.000
rs2305013 lBF = `1.62409` Chr`11` : `120,340,060`	0.000	0.999	0.000
rs116875324 lBF = `0.721333` Chr`11` : `121,206,449`	0.000	0.999	0.000
rs16912059 lBF = `0.715807` Chr`11` : `24,091,143`	0.000	0.999	0.000
rs187478995 lBF = `0.685641` Chr`11` : `23,434,935`	0.000	0.999	0.000
rs751984 lBF = `0.440118` Chr`11` : `61,278,246`	0.000	0.999	0.000
rs11024074 lBF = `0.123988` Chr`11` : `16,917,219`	0.000	0.999	0.000
rs10892324 lBF = `0.109732` Chr`11` : `118,903,039`	0.000	0.999	0.000
rs4639966 lBF = `0.0731093` Chr`11` : `118,573,519`	0.000	0.999	0.000
rs12098973 lBF = `0.061651` Chr`11` : `131,807,171`	0.000	0.999	0.000
rs527589 lBF = `-0.0092666` Chr`11` : `77,154,639`	0.000	0.999	0.000
rs4963452 lBF = `-0.0173121` Chr`11` : `61,815,803`	0.000	0.999	0.000
rs4083482 lBF = `-0.0188021` Chr`11` : `35,351,639`	0.000	0.999	0.000
rs11225055 lBF = `-0.0238272` Chr`11` : `101,771,433`	0.000	0.999	0.000
rs12792526 lBF = `-0.0381566` Chr`11` : `130,529,219`	0.000	0.999	0.000
rs663734 lBF = `-0.0793101` Chr`11` : `124,984,855`	0.000	0.999	0.000
rs1917445 lBF = `-0.131604` Chr`11` : `103,589,094`	0.000	0.999	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.000	0.999	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	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

0.5832

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3872

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6946

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6914

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6899

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6528

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6512

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6242

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6195

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6193

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6193

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5811

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5562

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5486

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5445

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5375

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5277

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5256

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5093

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5056

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4985

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4914

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4747

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4675

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4423

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3917

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3884

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3773

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3522

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3479

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3430

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3095

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3059

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3026

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2833

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2821

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2723

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2569

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2431

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2430

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2381

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2181

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2039

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1544

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1455

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1418

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1350

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1226

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0889

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0768

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0690

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0631

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0606

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0523

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`)