TreeWAS – [N85.9] Noninflammatory disorder of uterus, unspecified

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
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.710	0.290	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.689	0.311	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.613	0.387	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.610	0.390	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.595	0.405	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.577	0.423	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.569	0.431	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.559	0.440	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.555	0.445	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.538	0.462	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.538	0.462	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.537	0.463	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.535	0.464	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.534	0.466	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.474	0.526	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.470	0.530	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.468	0.532	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.549	0.451
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.449	0.551	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.439	0.561	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.439	0.561	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.425	0.575	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.420	0.580	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.419	0.581	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.411	0.589	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.395	0.604	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.390	0.610	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.387	0.613	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.385	0.614	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.375	0.625	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.355	0.645	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.353	0.647	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.347	0.653	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.342	0.658	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.339	0.661	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.323	0.676	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.320	0.680	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.315	0.685	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.305	0.695	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.284	0.716	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.265	0.735	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.261	0.738	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.261	0.739	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.739	0.261
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.254	0.746	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.253	0.746	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.235	0.765	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.235	0.765	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.225	0.774	0.001
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.216	0.784	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.214	0.785	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.205	0.794	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.204	0.795	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.201	0.799	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.196	0.803	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.167	0.833	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.164	0.836	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.157	0.843	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.156	0.844	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.154	0.846	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.852	0.148
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.114	0.885	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.102	0.896	0.002
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.095	0.905	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.090	0.909	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.080	0.920	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.080	0.920	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.078	0.922	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.070	0.930	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.068	0.932	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.061	0.939	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.052	0.948	0.000
rs16933829 lBF = `0.0824378` Chr`11` : `17,115,676`	0.049	0.950	0.000
rs11032483 lBF = `33.5508` Chr`11` : `4,515,024`	0.023	0.954	0.023
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.041	0.959	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.038	0.962	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.036	0.963	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.034	0.965	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.033	0.967	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.033	0.967	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.032	0.968	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.032	0.968	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.031	0.969	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.031	0.969	0.000
rs564036233 lBF = `3.5658` Chr`11` : `30,319,008`	0.000	0.973	0.027
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.022	0.978	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.021	0.978	0.000
rs11034653 lBF = `0.0205526` Chr`11` : `38,288,593`	0.020	0.979	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.020	0.980	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.019	0.980	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.017	0.983	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.016	0.984	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.015	0.985	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.014	0.986	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.013	0.986	0.001
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.012	0.988	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.011	0.989	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.009	0.991	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.009	0.991	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.008	0.991	0.000
rs66714249 lBF = `0.0490168` Chr`11` : `7,400,566`	0.000	0.991	0.008
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.008	0.992	0.001
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.008	0.992	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.008	0.992	0.000
rs12806663 lBF = `0.123172` Chr`11` : `62,001,414`	0.007	0.993	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.007	0.993	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.007	0.993	0.000
rs17133858 lBF = `0.281418` Chr`11` : `74,971,557`	0.007	0.993	0.000
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.007	0.993	0.000
rs11031006 lBF = `3.64731` Chr`11` : `30,226,528`	0.000	0.993	0.007
rs10160399 lBF = `-0.0325215` Chr`11` : `4,516,576`	0.006	0.994	0.000
rs11231693 lBF = `2.11871` Chr`11` : `63,862,612`	0.006	0.994	0.000
rs12791447 lBF = `-0.00968622` Chr`11` : `7,556,577`	0.006	0.994	0.000
rs11031005 lBF = `3.69185` Chr`11` : `30,226,356`	0.000	0.994	0.006
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.005	0.994	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.005	0.994	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.005	0.995	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.005	0.995	0.000
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.004	0.995	0.000
rs606458 lBF = `-0.0134082` Chr`11` : `64,546,391`	0.005	0.995	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.004	0.996	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.004	0.996	0.000
rs1042602 lBF = `1.64166` Chr`11` : `88,911,696`	0.000	0.996	0.004
rs188168326 lBF = `0.00614555` Chr`11` : `112,262,964`	0.004	0.996	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.004	0.996	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.000	0.996	0.004
rs4930103 lBF = `-0.133227` Chr`11` : `2,024,544`	0.000	0.996	0.004
rs11031002 lBF = `2.08514` Chr`11` : `30,215,261`	0.000	0.997	0.003
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.003	0.997	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.003	0.997	0.000
rs2130017 lBF = `-0.0727342` Chr`11` : `89,502,376`	0.003	0.997	0.000
rs7112383 lBF = `0.00706339` Chr`11` : `26,741,262`	0.003	0.997	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.002	0.997	0.001
rs12797960 lBF = `0.147696` Chr`11` : `12,841,771`	0.003	0.997	0.000
rs1996369 lBF = `-0.0551592` Chr`11` : `35,495,441`	0.003	0.997	0.000
rs545610 lBF = `-0.0632451` Chr`11` : `30,508,108`	0.000	0.997	0.003
rs589691 lBF = `-0.00504472` Chr`11` : `64,525,216`	0.003	0.997	0.000
rs1474107 lBF = `0.00057069` Chr`11` : `36,790,685`	0.002	0.997	0.000
rs3842770 lBF = `0.00315047` Chr`11` : `2,178,670`	0.002	0.997	0.000
rs1350171 lBF = `0.0351818` Chr`11` : `86,644,389`	0.000	0.997	0.003
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.002	0.997	0.000
rs10501920 lBF = `0.00134775` Chr`11` : `99,493,173`	0.000	0.997	0.002
rs4148613 lBF = `0.00146786` Chr`11` : `17,476,460`	0.002	0.997	0.000
rs10838687 lBF = `2.49523` Chr`11` : `47,312,892`	0.000	0.998	0.002
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.002	0.998	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.002	0.998	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.002	0.998	0.000
rs10894239 lBF = `-0.0617323` Chr`11` : `130,629,122`	0.000	0.998	0.002
rs7111562 lBF = `-0.0521623` Chr`11` : `19,051,872`	0.002	0.998	0.000
rs7121800 lBF = `-0.0832655` Chr`11` : `30,564,577`	0.000	0.998	0.002
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.002	0.998	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.998	0.002
rs7129461 lBF = `18.7667` Chr`11` : `32,518,198`	0.002	0.998	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.000	0.998	0.002
rs3794087 lBF = `1.00727` Chr`11` : `35,329,615`	0.000	0.998	0.002
rs4963452 lBF = `-0.0173121` Chr`11` : `61,815,803`	0.000	0.998	0.002
rs35152987 lBF = `0.00152562` Chr`11` : `5,255,582`	0.002	0.998	0.000
rs192772225 lBF = `0.00472722` Chr`11` : `84,048,202`	0.002	0.998	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.000	0.998	0.002
rs548181 lBF = `-0.0586995` Chr`11` : `125,461,709`	0.002	0.998	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.000	0.998	0.001
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.002	0.998	0.000
rs10840270 lBF = `-0.105171` Chr`11` : `9,629,553`	0.000	0.998	0.002
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.002	0.998	0.000
rs60349741 lBF = `0.00021555` Chr`11` : `17,796,111`	0.002	0.998	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.002	0.998	0.000
rs78894156 lBF = `0.00106884` Chr`11` : `17,642,129`	0.001	0.998	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.001	0.998	0.001
rs12282107 lBF = `-0.00052085` Chr`11` : `124,539,273`	0.001	0.998	0.000
rs2075291 lBF = `0.00120857` Chr`11` : `116,661,392`	0.001	0.998	0.000
rs600550 lBF = `-0.0620732` Chr`11` : `59,997,666`	0.000	0.998	0.002
rs10835923 lBF = `9.29468` Chr`11` : `32,499,831`	0.002	0.998	0.000
rs12291066 lBF = `0.00106971` Chr`11` : `12,235,160`	0.001	0.998	0.000
rs17221829 lBF = `-0.082685` Chr`11` : `89,466,732`	0.002	0.998	0.000
rs74342245 lBF = `21.2769` Chr`11` : `68,938,776`	0.000	0.998	0.001
rs510398 lBF = `0.0006326` Chr`11` : `66,054,823`	0.001	0.998	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.001	0.999	0.000
rs1484948 lBF = `-0.0693563` Chr`11` : `41,852,664`	0.000	0.999	0.001
rs10751667 lBF = `0.101085` Chr`11` : `941,941`	0.001	0.999	0.000
rs12099085 lBF = `0.00084586` Chr`11` : `63,666,944`	0.001	0.999	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.001	0.999	0.000
rs12294076 lBF = `0.00089461` Chr`11` : `103,127,065`	0.001	0.999	0.000
rs1488864 lBF = `-0.0367931` Chr`11` : `6,342,329`	0.001	0.999	0.000
rs61902539 lBF = `0.0126933` Chr`11` : `113,113,152`	0.001	0.999	0.000
rs190169131 lBF = `0.00742957` Chr`11` : `127,268,602`	0.000	0.999	0.001
rs7940866 lBF = `-0.0713567` Chr`11` : `130,817,579`	0.000	0.999	0.001
rs11213935 lBF = `0.00005326` Chr`11` : `111,411,608`	0.001	0.999	0.000
rs7107977 lBF = `-0.00024455` Chr`11` : `915,764`	0.001	0.999	0.000
rs12294104 lBF = `0.43523` Chr`11` : `30,382,899`	0.000	0.999	0.001
rs11603160 lBF = `-0.0619782` Chr`11` : `72,894,273`	0.000	0.999	0.001
rs4569005 lBF = `0.0499382` Chr`11` : `21,058,731`	0.001	0.999	0.000
rs2924679 lBF = `0.515629` Chr`11` : `68,556,782`	0.001	0.999	0.001
rs11825259 lBF = `0.00141418` Chr`11` : `33,806,822`	0.000	0.999	0.001
rs117601636 lBF = `0.00063792` Chr`11` : `2,642,037`	0.001	0.999	0.000
rs4287304 lBF = `0.00044063` Chr`11` : `16,559,630`	0.001	0.999	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.001	0.999	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.000	0.999	0.001
rs7124972 lBF = `0.228288` Chr`11` : `81,002,799`	0.001	0.999	0.000
rs163184 lBF = `11.9611` Chr`11` : `2,847,069`	0.001	0.999	0.000
rs7945718 lBF = `0.0944487` Chr`11` : `12,748,819`	0.000	0.999	0.001
rs12288023 lBF = `0.00978277` Chr`11` : `67,421,341`	0.000	0.999	0.001
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rs7924357 lBF = `0.133642` Chr`11` : `102,628,052`	0.000	0.999	0.000
rs1047964 lBF = `-0.00426566` Chr`11` : `117,156,893`	0.000	0.999	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.000	0.999	0.001
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.000	0.999	0.000
rs3136441 lBF = `1.20651` Chr`11` : `46,743,247`	0.000	0.999	0.001
rs11216185 lBF = `0.968028` Chr`11` : `116,782,974`	0.001	0.999	0.000
rs7120118 lBF = `0.929998` Chr`11` : `47,286,290`	0.000	0.999	0.001
rs11231991 lBF = `0.715367` Chr`11` : `79,962,149`	0.000	0.999	0.001
rs34400381 lBF = `0.00343799` Chr`11` : `65,143,892`	0.000	0.999	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.000	0.999	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.000	0.999	0.000
rs11031767 lBF = `8.67358` Chr`11` : `32,427,428`	0.001	0.999	0.000
rs518167 lBF = `0.0126559` Chr`11` : `88,668,140`	0.000	0.999	0.000
rs7939886 lBF = `-0.0299526` Chr`11` : `56,242,261`	0.000	0.999	0.001
rs5128 lBF = `9.66539` Chr`11` : `116,703,640`	0.000	0.999	0.001
rs2521572 lBF = `0.392798` Chr`11` : `61,711,475`	0.000	0.999	0.000
rs141697342 lBF = `0.189136` Chr`11` : `129,567,902`	0.000	0.999	0.000
rs7395662 lBF = `-0.11084` Chr`11` : `48,518,893`	0.001	0.999	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.000	0.999	0.000
rs2137320 lBF = `8.11382` Chr`11` : `1,884,342`	0.001	0.999	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	0.000	0.999	0.000
rs174538 lBF = `2.62829` Chr`11` : `61,560,081`	0.000	0.999	0.000
rs147831109 lBF = `0.459381` Chr`11` : `23,382,361`	0.000	0.999	0.000
rs10502235 lBF = `0.423531` Chr`11` : `120,212,423`	0.001	0.999	0.000
rs3736228 lBF = `0.384114` Chr`11` : `68,201,295`	0.000	0.999	0.000
rs4307732 lBF = `0.380343` Chr`11` : `126,244,955`	0.000	0.999	0.000
rs11827818 lBF = `0.293204` Chr`11` : `120,198,728`	0.001	0.999	0.000
rs2027760 lBF = `0.210215` Chr`11` : `73,036,481`	0.000	0.999	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.999	0.000
rs35897606 lBF = `0.0552943` Chr`11` : `33,457,857`	0.000	0.999	0.000
rs992564 lBF = `-0.00362761` Chr`11` : `131,336,074`	0.000	0.999	0.000
rs17105932 lBF = `-0.00974397` Chr`11` : `106,543,465`	0.000	0.999	0.000
rs7129220 lBF = `-0.0591923` Chr`11` : `10,350,538`	0.000	0.999	0.000
rs7114000 lBF = `-0.0607528` Chr`11` : `126,607,580`	0.000	0.999	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.000	0.999	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.000	0.999	0.000
rs174570 lBF = `6.39826` Chr`11` : `61,597,212`	0.000	0.999	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.000	0.999	0.000
rs174535 lBF = `5.01621` Chr`11` : `61,551,356`	0.000	0.999	0.000
rs1461503 lBF = `0.429349` Chr`11` : `122,845,075`	0.000	0.999	0.000
rs10892565 lBF = `0.412964` Chr`11` : `120,235,560`	0.000	0.999	0.000
rs4938802 lBF = `0.3985` Chr`11` : `120,228,989`	0.000	0.999	0.000
rs11225154 lBF = `0.0136491` Chr`11` : `102,043,240`	0.000	0.999	0.000
rs9919625 lBF = `0.00850124` Chr`11` : `11,592,911`	0.000	0.999	0.000
rs10765792 lBF = `-0.0088881` Chr`11` : `95,866,700`	0.000	0.999	0.000
rs11602954 lBF = `-0.058039` Chr`11` : `202,856`	0.000	0.999	0.000
rs505404 lBF = `-0.0761997` Chr`11` : `243,268`	0.000	0.999	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.000	1.000	0.000
rs163177 lBF = `10.051` Chr`11` : `2,838,413`	0.000	1.000	0.000
rs11039798 lBF = `1.46665` Chr`11` : `48,540,223`	0.000	1.000	0.000
rs7105056 lBF = `1.0249` Chr`11` : `112,064,431`	0.000	1.000	0.000
rs113196862 lBF = `0.667721` Chr`11` : `58,082,609`	0.000	1.000	0.000
rs2072114 lBF = `0.364143` Chr`11` : `61,605,215`	0.000	1.000	0.000
rs2455601 lBF = `0.193448` Chr`11` : `8,899,400`	0.000	1.000	0.000
rs4129601 lBF = `0.11096` Chr`11` : `42,874,002`	0.000	1.000	0.000
rs55770291 lBF = `0.0173265` Chr`11` : `76,922,581`	0.000	1.000	0.000
rs11827962 lBF = `-0.00392062` Chr`11` : `22,312,566`	0.000	1.000	0.000
rs7120489 lBF = `-0.0218527` Chr`11` : `12,469,397`	0.000	1.000	0.000
rs2405657 lBF = `-0.0412282` Chr`11` : `97,682,564`	0.000	1.000	0.000
rs1386330 lBF = `-0.068262` Chr`11` : `87,819,427`	0.000	1.000	0.000
rs2845573 lBF = `3.80359` Chr`11` : `61,601,908`	0.000	1.000	0.000
rs174575 lBF = `2.06497` Chr`11` : `61,602,003`	0.000	1.000	0.000
rs56693116 lBF = `0.901883` Chr`11` : `120,361,394`	0.000	1.000	0.000
rs12785387 lBF = `0.37279` Chr`11` : `120,221,987`	0.000	1.000	0.000
rs11824032 lBF = `0.354539` Chr`11` : `120,224,789`	0.000	1.000	0.000
rs7931462 lBF = `-0.0201558` Chr`11` : `92,784,203`	0.000	1.000	0.000
rs1240773 lBF = `-0.0423568` Chr`11` : `116,520,527`	0.000	1.000	0.000
rs11031122 lBF = `-0.0529862` Chr`11` : `30,547,438`	0.000	1.000	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.000	1.000	0.000
rs1535 lBF = `5.20177` Chr`11` : `61,597,972`	0.000	1.000	0.000
rs2845885 lBF = `4.30722` Chr`11` : `63,869,062`	0.000	1.000	0.000
rs11039571 lBF = `3.58346` Chr`11` : `48,207,259`	0.000	1.000	0.000
rs599083 lBF = `1.53679` Chr`11` : `68,192,346`	0.000	1.000	0.000
rs286499 lBF = `0.534486` Chr`11` : `85,193,869`	0.000	1.000	0.000
rs10160242 lBF = `0.0580343` Chr`11` : `108,498,885`	0.000	1.000	0.000
rs61883261 lBF = `0.0348724` Chr`11` : `20,984,205`	0.000	1.000	0.000
rs36093844 lBF = `0.0347861` Chr`11` : `85,576,127`	0.000	1.000	0.000
rs2322978 lBF = `-0.00439464` Chr`11` : `127,716,140`	0.000	1.000	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.000	1.000	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.000	1.000	0.000
rs174583 lBF = `5.17451` Chr`11` : `61,609,750`	0.000	1.000	0.000
rs10466351 lBF = `3.13913` Chr`11` : `92,697,981`	0.000	1.000	0.000
rs11227306 lBF = `1.05104` Chr`11` : `65,578,672`	0.000	1.000	0.000
rs7130144 lBF = `0.754036` Chr`11` : `130,480,592`	0.000	1.000	0.000
rs17147674 lBF = `0.460285` Chr`11` : `84,589,922`	0.000	1.000	0.000
rs1894116 lBF = `0.0360512` Chr`11` : `102,070,639`	0.000	1.000	0.000
rs11037473 lBF = `0.0112504` Chr`11` : `43,576,067`	0.000	1.000	0.000
rs4910742 lBF = `-0.00170378` Chr`11` : `5,306,509`	0.000	1.000	0.000
rs4611189 lBF = `-0.00435884` Chr`11` : `40,837,713`	0.000	1.000	0.000
rs3911569 lBF = `-0.0186231` Chr`11` : `95,096,035`	0.000	1.000	0.000
rs12797755 lBF = `-0.0206507` Chr`11` : `120,809,460`	0.000	1.000	0.000
rs1459104 lBF = `-0.0209414` Chr`11` : `55,312,533`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9834

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9210

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8966

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8565

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8489

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8325

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8082

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7451

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6953

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6687

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.6483

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6343

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5853

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5319

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4210

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3455

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3355

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3052

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2901

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2658

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2630

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2565

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2551

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2321

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2313

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2181

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2079

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1766

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1760

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1529

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1278

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1163

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1132

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1032

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0986

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0883

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0848

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0774

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`)