TreeWAS – [N85.3] Subinvolution of uterus

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
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.616	0.384	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.607	0.393	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.599	0.401	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`	0.587	0.413	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.569	0.431	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.566	0.434	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
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.489	0.511
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
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.449	0.551	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	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`	0.421	0.579	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.411	0.589	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.403	0.597	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
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.372	0.627	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.360	0.640	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.356	0.644	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.355	0.645	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.354	0.646	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.347	0.653	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
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.305	0.695	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.299	0.700	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.293	0.706	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.264	0.736	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
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.254	0.746	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.747	0.252
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.237	0.763	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
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.216	0.784	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
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.204	0.795	0.001
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
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.184	0.816	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.172	0.828	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.158	0.841	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.158	0.842	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`	0.154	0.846	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.854	0.146
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`	0.091	0.909	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`	0.083	0.917	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.077	0.923	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.076	0.924	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.074	0.926	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`	0.054	0.946	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`	0.025	0.952	0.023
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.042	0.958	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.041	0.959	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.039	0.961	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.039	0.961	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.036	0.963	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.035	0.965	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.031	0.968	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.031	0.969	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.031	0.969	0.000
rs564036233 lBF = `3.5658` Chr`11` : `30,319,008`	0.000	0.970	0.030
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.028	0.971	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.026	0.974	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.026	0.974	0.000
rs11034653 lBF = `0.0205526` Chr`11` : `38,288,593`	0.020	0.979	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.020	0.980	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.019	0.981	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.018	0.982	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.016	0.984	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.016	0.984	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.015	0.985	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	0.987	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.010	0.990	0.000
rs11031006 lBF = `3.64731` Chr`11` : `30,226,528`	0.000	0.990	0.010
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
rs11031005 lBF = `3.69185` Chr`11` : `30,226,356`	0.000	0.991	0.009
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`	0.007	0.992	0.000
rs17133858 lBF = `0.281418` Chr`11` : `74,971,557`	0.007	0.992	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.007	0.993	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.007	0.993	0.000
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.007	0.993	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.006	0.993	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.006	0.994	0.000
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.005	0.994	0.000
rs12791447 lBF = `-0.00968622` Chr`11` : `7,556,577`	0.005	0.994	0.000
rs11231693 lBF = `2.11871` Chr`11` : `63,862,612`	0.005	0.995	0.000
rs12806663 lBF = `0.123172` Chr`11` : `62,001,414`	0.005	0.995	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.005	0.995	0.000
rs10160399 lBF = `-0.0325215` Chr`11` : `4,516,576`	0.005	0.995	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.005	0.995	0.000
rs606458 lBF = `-0.0134082` Chr`11` : `64,546,391`	0.005	0.995	0.000
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.004	0.995	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.004	0.996	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.004	0.996	0.000
rs11031002 lBF = `2.08514` Chr`11` : `30,215,261`	0.000	0.996	0.004
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.004	0.996	0.000
rs188168326 lBF = `0.00614555` Chr`11` : `112,262,964`	0.004	0.996	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.003	0.996	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.003	0.997	0.000
rs10501920 lBF = `0.00134775` Chr`11` : `99,493,173`	0.000	0.997	0.003
rs4963452 lBF = `-0.0173121` Chr`11` : `61,815,803`	0.000	0.997	0.003
rs7112383 lBF = `0.00706339` Chr`11` : `26,741,262`	0.003	0.997	0.000
rs545610 lBF = `-0.0632451` Chr`11` : `30,508,108`	0.000	0.997	0.003
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.002	0.997	0.001
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.003	0.997	0.000
rs7111562 lBF = `-0.0521623` Chr`11` : `19,051,872`	0.003	0.997	0.000
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
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.000	0.997	0.003
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.003	0.997	0.000
rs3842770 lBF = `0.00315047` Chr`11` : `2,178,670`	0.002	0.997	0.000
rs4148613 lBF = `0.00146786` Chr`11` : `17,476,460`	0.002	0.997	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.002	0.998	0.000
rs11603160 lBF = `-0.0619782` Chr`11` : `72,894,273`	0.000	0.998	0.002
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.002	0.998	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.000	0.998	0.002
rs35152987 lBF = `0.00152562` Chr`11` : `5,255,582`	0.002	0.998	0.000
rs2130017 lBF = `-0.0727342` Chr`11` : `89,502,376`	0.002	0.998	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.998	0.002
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
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
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.002	0.998	0.000
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.002	0.998	0.000
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
rs12288023 lBF = `0.00978277` Chr`11` : `67,421,341`	0.000	0.998	0.002
rs74342245 lBF = `21.2769` Chr`11` : `68,938,776`	0.000	0.998	0.002
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.000	0.998	0.002
rs190169131 lBF = `0.00742957` Chr`11` : `127,268,602`	0.000	0.998	0.002
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
rs1042602 lBF = `1.64166` Chr`11` : `88,911,696`	0.000	0.998	0.001
rs12294104 lBF = `0.43523` Chr`11` : `30,382,899`	0.000	0.998	0.001
rs12291066 lBF = `0.00106971` Chr`11` : `12,235,160`	0.001	0.998	0.000
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
rs61902539 lBF = `0.0126933` Chr`11` : `113,113,152`	0.001	0.999	0.000
rs12099085 lBF = `0.00084586` Chr`11` : `63,666,944`	0.001	0.999	0.000
rs12294076 lBF = `0.00089461` Chr`11` : `103,127,065`	0.001	0.999	0.000
rs11213935 lBF = `0.00005326` Chr`11` : `111,411,608`	0.001	0.999	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	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
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.001	0.999	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.000	0.999	0.001
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.001	0.999	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.001	0.999	0.001
rs16914280 lBF = `0.0003181` Chr`11` : `88,321,724`	0.001	0.999	0.000
rs7124972 lBF = `0.228288` Chr`11` : `81,002,799`	0.001	0.999	0.000
rs16912210 lBF = `0.00032303` Chr`11` : `5,263,853`	0.001	0.999	0.000
rs7129461 lBF = `18.7667` Chr`11` : `32,518,198`	0.001	0.999	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.000	0.999	0.001
rs150829342 lBF = `0.101576` Chr`11` : `83,818,329`	0.001	0.999	0.000
rs4086867 lBF = `-0.0215479` Chr`11` : `26,012,232`	0.001	0.999	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.001	0.999	0.000
rs184485201 lBF = `0.00033936` Chr`11` : `62,141,691`	0.001	0.999	0.000
rs12364177 lBF = `0.00014088` Chr`11` : `22,898,977`	0.001	0.999	0.000
rs115301024 lBF = `0.00011721` Chr`11` : `60,121,741`	0.001	0.999	0.000
rs35694355 lBF = `0.00021843` Chr`11` : `831,883`	0.001	0.999	0.000
rs187858337 lBF = `0.00015232` Chr`11` : `56,481,044`	0.001	0.999	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.001	0.999	0.000
rs7121039 lBF = `9.59243` Chr`11` : `2,232,911`	0.000	0.999	0.001
rs1461503 lBF = `0.429349` Chr`11` : `122,845,075`	0.000	0.999	0.001
rs7928794 lBF = `0.00017236` Chr`11` : `35,701,236`	0.001	0.999	0.000
rs78972067 lBF = `-0.00006807` Chr`11` : `70,058,419`	0.001	0.999	0.000
rs183974900 lBF = `0.00014776` Chr`11` : `122,269,614`	0.001	0.999	0.000
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rs11231991 lBF = `0.715367` Chr`11` : `79,962,149`	0.000	1.000	0.000
rs17147674 lBF = `0.460285` Chr`11` : `84,589,922`	0.000	1.000	0.000
rs7937106 lBF = `0.119253` Chr`11` : `107,354,312`	0.000	1.000	0.000
rs35974940 lBF = `0.0788177` Chr`11` : `131,245,087`	0.000	1.000	0.000
rs11827962 lBF = `-0.00392062` Chr`11` : `22,312,566`	0.000	1.000	0.000
rs4611189 lBF = `-0.00435884` Chr`11` : `40,837,713`	0.000	1.000	0.000
rs11601602 lBF = `-0.0281876` Chr`11` : `28,233,768`	0.000	1.000	0.000
rs1079467 lBF = `-0.0317969` Chr`11` : `7,969,711`	0.000	1.000	0.000
rs11212260 lBF = `-0.0583415` Chr`11` : `107,347,277`	0.000	1.000	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.000	1.000	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.000	1.000	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.000	1.000	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.000	1.000	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.000	1.000	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.000	1.000	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.000	1.000	0.000
rs174574 lBF = `5.04789` Chr`11` : `61,600,342`	0.000	1.000	0.000
rs174537 lBF = `4.70984` Chr`11` : `61,552,680`	0.000	1.000	0.000
rs174578 lBF = `4.34393` Chr`11` : `61,605,499`	0.000	1.000	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.000	1.000	0.000
rs74360883 lBF = `1.78422` Chr`11` : `45,550,753`	0.000	1.000	0.000
rs2851682 lBF = `1.07476` Chr`11` : `61,616,012`	0.000	1.000	0.000
rs630923 lBF = `0.825991` Chr`11` : `118,754,353`	0.000	1.000	0.000
rs2075292 lBF = `0.734099` Chr`11` : `116,732,512`	0.000	1.000	0.000
rs117983694 lBF = `0.079172` Chr`11` : `85,396,880`	0.000	1.000	0.000
rs11041530 lBF = `0.00760206` Chr`11` : `7,701,503`	0.000	1.000	0.000
rs2077224 lBF = `-0.0510003` Chr`11` : `62,197,427`	0.000	1.000	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.000	1.000	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.000	1.000	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.000	1.000	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.000	1.000	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.000	1.000	0.000
rs907611 lBF = `5.99062` Chr`11` : `1,874,072`	0.000	1.000	0.000
rs2845885 lBF = `4.30722` Chr`11` : `63,869,062`	0.000	1.000	0.000
rs174577 lBF = `4.1944` Chr`11` : `61,604,814`	0.000	1.000	0.000
rs174541 lBF = `3.76991` Chr`11` : `61,565,908`	0.000	1.000	0.000
rs174528 lBF = `2.74158` Chr`11` : `61,543,499`	0.000	1.000	0.000
rs174529 lBF = `2.55834` Chr`11` : `61,543,961`	0.000	1.000	0.000
rs7941030 lBF = `0.574121` Chr`11` : `122,522,375`	0.000	1.000	0.000
rs150267141 lBF = `0.244935` Chr`11` : `70,088,299`	0.000	1.000	0.000
rs117509195 lBF = `0.230797` Chr`11` : `60,387,018`	0.000	1.000	0.000
rs117020818 lBF = `0.0207717` Chr`11` : `13,129,163`	0.000	1.000	0.000
rs117325735 lBF = `0.00328616` Chr`11` : `105,277,570`	0.000	1.000	0.000
rs1483121 lBF = `0.00326408` Chr`11` : `48,333,360`	0.000	1.000	0.000
rs35329661 lBF = `-0.00486759` Chr`11` : `74,974,990`	0.000	1.000	0.000
rs78015633 lBF = `-0.0203305` Chr`11` : `40,876,586`	0.000	1.000	0.000
rs11215400 lBF = `-0.0359817` Chr`11` : `115,052,635`	0.000	1.000	0.000
rs1488864 lBF = `-0.0367931` Chr`11` : `6,342,329`	0.000	1.000	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.000	1.000	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.000	1.000	0.000
rs174550 lBF = `4.79425` Chr`11` : `61,571,478`	0.000	1.000	0.000
rs174545 lBF = `4.79333` Chr`11` : `61,569,306`	0.000	1.000	0.000
rs174551 lBF = `4.79116` Chr`11` : `61,573,684`	0.000	1.000	0.000
rs174576 lBF = `4.5783` Chr`11` : `61,603,510`	0.000	1.000	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.000	1.000	0.000
rs4246215 lBF = `3.48466` Chr`11` : `61,564,299`	0.000	1.000	0.000
rs2521572 lBF = `0.392798` Chr`11` : `61,711,475`	0.000	1.000	0.000
rs7128198 lBF = `0.228521` Chr`11` : `122,526,601`	0.000	1.000	0.000
rs1488902 lBF = `0.095932` Chr`11` : `89,345,025`	0.000	1.000	0.000
rs11018874 lBF = `0.0499118` Chr`11` : `89,875,437`	0.000	1.000	0.000
rs1350171 lBF = `0.0351818` Chr`11` : `86,644,389`	0.000	1.000	0.000
rs141218484 lBF = `0.0266478` Chr`11` : `62,248,663`	0.000	1.000	0.000
rs73469144 lBF = `0.00308599` Chr`11` : `21,504,900`	0.000	1.000	0.000
rs11027293 lBF = `0.00062009` Chr`11` : `23,552,453`	0.000	1.000	0.000
rs12800752 lBF = `-0.00288427` Chr`11` : `100,406,640`	0.000	1.000	0.000
rs117557854 lBF = `-0.0169193` Chr`11` : `100,139,171`	0.000	1.000	0.000
rs7116495 lBF = `-0.0262441` Chr`11` : `71,762,085`	0.000	1.000	0.000
rs17556665 lBF = `-0.045864` Chr`11` : `14,098,482`	0.000	1.000	0.000
rs10891354 lBF = `-0.0678148` Chr`11` : `112,263,503`	0.000	1.000	0.000
rs17655730 lBF = `-0.0802216` Chr`11` : `270,715`	0.000	1.000	0.000
rs712022 lBF = `-0.107672` Chr`11` : `22,843,155`	0.000	1.000	0.000
rs1917445 lBF = `-0.131604` Chr`11` : `103,589,094`	0.000	1.000	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.000	1.000	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.000	1.000	0.000
rs3135506 lBF = `8.9619` Chr`11` : `116,662,407`	0.000	1.000	0.000
rs12272004 lBF = `8.29713` Chr`11` : `116,603,724`	0.000	1.000	0.000
rs35120633 lBF = `8.18477` Chr`11` : `116,655,600`	0.000	1.000	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.000	1.000	0.000
rs3902018 lBF = `5.78455` Chr`11` : `74,269,817`	0.000	1.000	0.000
rs174547 lBF = `4.82307` Chr`11` : `61,570,783`	0.000	1.000	0.000
rs174554 lBF = `4.57936` Chr`11` : `61,579,463`	0.000	1.000	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.000	1.000	0.000
rs17197710 lBF = `1.91517` Chr`11` : `47,225,996`	0.000	1.000	0.000
rs34324219 lBF = `1.25451` Chr`11` : `59,623,378`	0.000	1.000	0.000
rs2526678 lBF = `0.469944` Chr`11` : `61,623,793`	0.000	1.000	0.000
rs10894294 lBF = `0.168555` Chr`11` : `130,830,748`	0.000	1.000	0.000
rs10160242 lBF = `0.0580343` Chr`11` : `108,498,885`	0.000	1.000	0.000
rs11602337 lBF = `0.0574919` Chr`11` : `25,113,781`	0.000	1.000	0.000
rs10892151 lBF = `0.00700115` Chr`11` : `117,531,731`	0.000	1.000	0.000
rs77406754 lBF = `0.00544667` Chr`11` : `60,041,989`	0.000	1.000	0.000
rs11032423 lBF = `-0.00027425` Chr`11` : `33,868,607`	0.000	1.000	0.000
rs11825709 lBF = `-0.00448214` Chr`11` : `93,704,049`	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 X0067

log Bayes Factor = 179.381

contains 8 variants

0.7168

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7166

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7164

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7129

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7091

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7056

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6623

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6619

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.6322

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5911

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5696

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5384

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5186

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4748

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4643

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4250

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3473

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3365

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3177

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3109

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2352

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2338

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2263

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2234

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2117

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1935

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1900

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1859

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1766

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1697

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1550

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1461

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1389

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1096

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1040

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0981

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0791

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0784

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0641

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`)