TreeWAS – [Z96.4] Presence of endocrine implants

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
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.715	0.285	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.696	0.304	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.673	0.327	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.662	0.338	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.658	0.342	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.652	0.348	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.651	0.349	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.650	0.350	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.648	0.352	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.643	0.357	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.624	0.376	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.623	0.376	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.622	0.378	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.605	0.395	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.603	0.397	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.577	0.422	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.550	0.450	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.539	0.460	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.505	0.495	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.503	0.497	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.477	0.523	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.474	0.525	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.458	0.542	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.440	0.560	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.435	0.565	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.424	0.575	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.424	0.576	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.417	0.583	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.410	0.590	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.401	0.599	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.400	0.600	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.399	0.600	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.395	0.605	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.389	0.611	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.361	0.639	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.345	0.655	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.334	0.666	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.330	0.670	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.309	0.690	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.288	0.712	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.287	0.713	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.278	0.721	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.277	0.722	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.270	0.729	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.263	0.737	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.741	0.259
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.259	0.741	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.240	0.760	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.236	0.764	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.233	0.766	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.231	0.769	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.227	0.773	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.222	0.778	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.221	0.779	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.207	0.793	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.202	0.798	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.194	0.806	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.188	0.812	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.178	0.822	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.170	0.830	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.165	0.835	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.160	0.839	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.146	0.853	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.137	0.863	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.121	0.879	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.120	0.880	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.115	0.885	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.104	0.896	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.102	0.898	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.101	0.898	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.099	0.900	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.099	0.901	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.099	0.901	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.085	0.915	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.078	0.922	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.073	0.927	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.068	0.932	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.061	0.938	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.061	0.939	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.059	0.941	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.056	0.944	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.054	0.946	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.052	0.947	0.000
rs3782089 lBF = `0.193981` Chr`11` : `65,336,819`	0.000	0.948	0.052
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.051	0.949	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.051	0.949	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.049	0.950	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.042	0.958	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.039	0.961	0.000
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.035	0.965	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.035	0.965	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.034	0.965	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.033	0.967	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.032	0.968	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.028	0.972	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.026	0.974	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.024	0.976	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.022	0.977	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.022	0.978	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.022	0.978	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.022	0.978	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.021	0.979	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.021	0.979	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.020	0.980	0.000
rs74342245 lBF = `21.2769` Chr`11` : `68,938,776`	0.019	0.981	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.019	0.981	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.019	0.981	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.018	0.982	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.014	0.984	0.003
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.015	0.985	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.013	0.987	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.013	0.987	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.012	0.988	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.011	0.989	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.010	0.990	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.009	0.991	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.008	0.992	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.007	0.993	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.007	0.993	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.006	0.994	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.006	0.994	0.000
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.006	0.994	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.005	0.994	0.000
rs116875324 lBF = `0.721333` Chr`11` : `121,206,449`	0.005	0.995	0.000
rs3847541 lBF = `11.2744` Chr`11` : `92,579,416`	0.005	0.995	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.005	0.995	0.000
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.005	0.995	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.005	0.995	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.005	0.995	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.004	0.996	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.004	0.996	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.004	0.996	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.003	0.996	0.000
rs139675748 lBF = `0.00416191` Chr`11` : `43,633,208`	0.000	0.997	0.003
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.003	0.997	0.000
rs3842770 lBF = `0.00315047` Chr`11` : `2,178,670`	0.003	0.997	0.000
rs11041530 lBF = `0.00760206` Chr`11` : `7,701,503`	0.003	0.997	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.003	0.997	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.003	0.997	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.002	0.997	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.002	0.998	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.002	0.998	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.002	0.998	0.000
rs17197710 lBF = `1.91517` Chr`11` : `47,225,996`	0.002	0.998	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.002	0.998	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.002	0.998	0.000
rs2290419 lBF = `14.6579` Chr`11` : `68,919,649`	0.002	0.998	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.002	0.998	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.002	0.998	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.002	0.998	0.000
rs11228530 lBF = `13.8992` Chr`11` : `68,918,985`	0.002	0.998	0.000
rs192772225 lBF = `0.00472722` Chr`11` : `84,048,202`	0.002	0.998	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.002	0.998	0.000
rs12099085 lBF = `0.00084586` Chr`11` : `63,666,944`	0.002	0.998	0.000
rs12291066 lBF = `0.00106971` Chr`11` : `12,235,160`	0.002	0.998	0.000
rs2075291 lBF = `0.00120857` Chr`11` : `116,661,392`	0.002	0.998	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.002	0.998	0.000
rs117601636 lBF = `0.00063792` Chr`11` : `2,642,037`	0.002	0.998	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.002	0.998	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.002	0.998	0.000
rs78894156 lBF = `0.00106884` Chr`11` : `17,642,129`	0.001	0.998	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.001	0.998	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.001	0.998	0.000
rs2863171 lBF = `-0.0626868` Chr`11` : `45,250,732`	0.000	0.998	0.002
rs7128311 lBF = `0.00968936` Chr`11` : `20,562,519`	0.000	0.998	0.001
rs510398 lBF = `0.0006326` Chr`11` : `66,054,823`	0.001	0.999	0.000
rs4287304 lBF = `0.00044063` Chr`11` : `16,559,630`	0.001	0.999	0.000
rs12294076 lBF = `0.00089461` Chr`11` : `103,127,065`	0.001	0.999	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.001	0.999	0.000
rs77502336 lBF = `-0.0643582` Chr`11` : `123,394,636`	0.001	0.999	0.000
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.000	0.999	0.001
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.001	0.999	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.001	0.999	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.001	0.999	0.000
rs16912210 lBF = `0.00032303` Chr`11` : `5,263,853`	0.001	0.999	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.001	0.999	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.001	0.999	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.001	0.999	0.000
rs78972067 lBF = `-0.00006807` Chr`11` : `70,058,419`	0.001	0.999	0.000
rs11827962 lBF = `-0.00392062` Chr`11` : `22,312,566`	0.000	0.999	0.001
rs144572046 lBF = `0.00003126` Chr`11` : `45,059,131`	0.001	0.999	0.000
rs16914280 lBF = `0.0003181` Chr`11` : `88,321,724`	0.001	0.999	0.000
rs11032423 lBF = `-0.00027425` Chr`11` : `33,868,607`	0.000	0.999	0.001
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.001	0.999	0.000
rs115301024 lBF = `0.00011721` Chr`11` : `60,121,741`	0.001	0.999	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.001	0.999	0.000
rs187858337 lBF = `0.00015232` Chr`11` : `56,481,044`	0.001	0.999	0.000
rs12364177 lBF = `0.00014088` Chr`11` : `22,898,977`	0.001	0.999	0.000
rs184485201 lBF = `0.00033936` Chr`11` : `62,141,691`	0.001	0.999	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.001	0.999	0.000
rs11825259 lBF = `0.00141418` Chr`11` : `33,806,822`	0.000	0.999	0.001
rs35694355 lBF = `0.00021843` Chr`11` : `831,883`	0.001	0.999	0.000
rs7116456 lBF = `0.00020018` Chr`11` : `23,955,313`	0.000	0.999	0.001
rs7928794 lBF = `0.00017236` Chr`11` : `35,701,236`	0.001	0.999	0.000
rs183974900 lBF = `0.00014776` Chr`11` : `122,269,614`	0.001	0.999	0.000
rs7930114 lBF = `0.00007438` Chr`11` : `104,041,611`	0.001	0.999	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.001	0.999	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.001	0.999	0.000
rs76809954 lBF = `0.00005852` Chr`11` : `83,580,306`	0.001	0.999	0.000
rs12274302 lBF = `0.00002933` Chr`11` : `90,586,900`	0.001	0.999	0.000
rs555091 lBF = `0.0000249` Chr`11` : `31,532,959`	0.001	0.999	0.000
rs17110679 lBF = `0.00001488` Chr`11` : `109,932,069`	0.000	0.999	0.001
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rs2403221 lBF = `-0.078816` Chr`11` : `9,852,475`	0.000	1.000	0.000
rs7101378 lBF = `-0.0827438` Chr`11` : `108,893,367`	0.000	1.000	0.000
rs7127399 lBF = `-0.0836791` Chr`11` : `124,461,274`	0.000	1.000	0.000
rs10839732 lBF = `-0.0852159` Chr`11` : `7,177,851`	0.000	1.000	0.000
rs11021504 lBF = `-0.095682` Chr`11` : `95,995,448`	0.000	1.000	0.000
rs4930144 lBF = `-0.103565` Chr`11` : `2,048,488`	0.000	1.000	0.000
rs163184 lBF = `11.9611` Chr`11` : `2,847,069`	0.000	1.000	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.000	1.000	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.000	1.000	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.000	1.000	0.000
rs58688157 lBF = `2.66143` Chr`11` : `625,085`	0.000	1.000	0.000
rs10047462 lBF = `2.4031` Chr`11` : `116,722,041`	0.000	1.000	0.000
rs11026407 lBF = `1.03415` Chr`11` : `22,105,030`	0.000	1.000	0.000
rs9633835 lBF = `0.973018` Chr`11` : `13,345,593`	0.000	1.000	0.000
rs7129556 lBF = `0.545719` Chr`11` : `77,300,048`	0.000	1.000	0.000
rs7112365 lBF = `0.205553` Chr`11` : `125,277,494`	0.000	1.000	0.000
rs1729407 lBF = `0.198726` Chr`11` : `116,677,370`	0.000	1.000	0.000
rs1148114 lBF = `0.0599782` Chr`11` : `123,498,735`	0.000	1.000	0.000
rs326946 lBF = `0.0372683` Chr`11` : `110,499,253`	0.000	1.000	0.000
rs10540 lBF = `0.0276988` Chr`11` : `494,662`	0.000	1.000	0.000
rs141218484 lBF = `0.0266478` Chr`11` : `62,248,663`	0.000	1.000	0.000
rs11037575 lBF = `-0.0555613` Chr`11` : `43,728,330`	0.000	1.000	0.000
rs2130017 lBF = `-0.0727342` Chr`11` : `89,502,376`	0.000	1.000	0.000
rs11021499 lBF = `-0.0836628` Chr`11` : `95,992,129`	0.000	1.000	0.000
rs163182 lBF = `10.6295` Chr`11` : `2,844,216`	0.000	1.000	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.000	1.000	0.000
rs174555 lBF = `2.86791` Chr`11` : `61,579,760`	0.000	1.000	0.000
rs174549 lBF = `2.76752` Chr`11` : `61,571,382`	0.000	1.000	0.000
rs174529 lBF = `2.55834` Chr`11` : `61,543,961`	0.000	1.000	0.000
rs10830265 lBF = `1.01842` Chr`11` : `89,112,650`	0.000	1.000	0.000
rs2060793 lBF = `0.564671` Chr`11` : `14,915,310`	0.000	1.000	0.000
rs10741657 lBF = `0.561779` Chr`11` : `14,914,878`	0.000	1.000	0.000
rs10898392 lBF = `0.269731` Chr`11` : `85,164,751`	0.000	1.000	0.000
rs10769783 lBF = `0.192769` Chr`11` : `7,396,191`	0.000	1.000	0.000
rs4474465 lBF = `0.141255` Chr`11` : `78,204,380`	0.000	1.000	0.000
rs7948661 lBF = `0.0354698` Chr`11` : `118,341,649`	0.000	1.000	0.000
rs518167 lBF = `0.0126559` Chr`11` : `88,668,140`	0.000	1.000	0.000
rs11038167 lBF = `-0.00734023` Chr`11` : `44,843,134`	0.000	1.000	0.000
rs34660913 lBF = `-0.0204253` Chr`11` : `13,158,010`	0.000	1.000	0.000
rs12576239 lBF = `-0.0443245` Chr`11` : `2,502,319`	0.000	1.000	0.000
rs2857891 lBF = `-0.0599076` Chr`11` : `6,962,957`	0.000	1.000	0.000
rs11027857 lBF = `-0.0670525` Chr`11` : `24,403,620`	0.000	1.000	0.000
rs11220082 lBF = `-0.110173` Chr`11` : `125,323,965`	0.000	1.000	0.000
rs7129461 lBF = `18.7667` Chr`11` : `32,518,198`	0.000	1.000	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.000	1.000	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.000	1.000	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.000	1.000	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.000	1.000	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.000	1.000	0.000
rs12364696 lBF = `8.20094` Chr`11` : `2,215,604`	0.000	1.000	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.000	1.000	0.000
rs174601 lBF = `3.59859` Chr`11` : `61,623,140`	0.000	1.000	0.000
rs174556 lBF = `2.82243` Chr`11` : `61,580,635`	0.000	1.000	0.000
rs108499 lBF = `1.90055` Chr`11` : `61,547,237`	0.000	1.000	0.000
rs187478995 lBF = `0.685641` Chr`11` : `23,434,935`	0.000	1.000	0.000
rs4944571 lBF = `0.302736` Chr`11` : `86,108,474`	0.000	1.000	0.000
rs117509195 lBF = `0.230797` Chr`11` : `60,387,018`	0.000	1.000	0.000
rs7124972 lBF = `0.228288` Chr`11` : `81,002,799`	0.000	1.000	0.000
rs2084637 lBF = `0.055106` Chr`11` : `122,391,187`	0.000	1.000	0.000
rs381815 lBF = `0.05429` Chr`11` : `16,902,268`	0.000	1.000	0.000
rs4569005 lBF = `0.0499382` Chr`11` : `21,058,731`	0.000	1.000	0.000
rs66714249 lBF = `0.0490168` Chr`11` : `7,400,566`	0.000	1.000	0.000
rs28362944 lBF = `0.0322119` Chr`11` : `57,365,723`	0.000	1.000	0.000
rs2592555 lBF = `0.0270547` Chr`11` : `36,371,757`	0.000	1.000	0.000
rs1019623 lBF = `0.0177683` Chr`11` : `127,686,353`	0.000	1.000	0.000
rs546131 lBF = `0.0170812` Chr`11` : `34,851,760`	0.000	1.000	0.000
rs2953196 lBF = `0.0110652` Chr`11` : `123,368,333`	0.000	1.000	0.000
rs34400381 lBF = `0.00343799` Chr`11` : `65,143,892`	0.000	1.000	0.000
rs2077224 lBF = `-0.0510003` Chr`11` : `62,197,427`	0.000	1.000	0.000
rs16930685 lBF = `-0.053491` Chr`11` : `37,870,981`	0.000	1.000	0.000
rs2032381 lBF = `-0.05865` Chr`11` : `81,235,150`	0.000	1.000	0.000
rs1945380 lBF = `-0.0697223` Chr`11` : `80,418,965`	0.000	1.000	0.000
rs10501765 lBF = `-0.0793996` Chr`11` : `91,657,276`	0.000	1.000	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.000	1.000	0.000
rs7107784 lBF = `14.0359` Chr`11` : `2,215,089`	0.000	1.000	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.000	1.000	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.000	1.000	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.000	1.000	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.000	1.000	0.000
rs7118248 lBF = `8.53999` Chr`11` : `92,623,349`	0.000	1.000	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.000	1.000	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.000	1.000	0.000
rs231362 lBF = `4.08051` Chr`11` : `2,691,471`	0.000	1.000	0.000
rs174541 lBF = `3.76991` Chr`11` : `61,565,908`	0.000	1.000	0.000
rs4246215 lBF = `3.48466` Chr`11` : `61,564,299`	0.000	1.000	0.000
rs174534 lBF = `1.85949` Chr`11` : `61,549,458`	0.000	1.000	0.000
rs74360883 lBF = `1.78422` Chr`11` : `45,550,753`	0.000	1.000	0.000
rs7112513 lBF = `1.67072` Chr`11` : `117,037,361`	0.000	1.000	0.000
rs10892761 lBF = `0.673296` Chr`11` : `121,497,884`	0.000	1.000	0.000
rs10767873 lBF = `0.620856` Chr`11` : `30,768,678`	0.000	1.000	0.000
rs11024074 lBF = `0.123988` Chr`11` : `16,917,219`	0.000	1.000	0.000
rs1109748 lBF = `0.090938` Chr`11` : `61,722,645`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6741

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2623

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0711

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8218

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8192

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8064

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8043

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8016

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7661

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7628

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7628

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7168

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7167

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7167

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7163

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7158

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7155

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7152

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7127

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7127

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7126

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7111

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7101

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7092

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7091

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7013

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7010

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6929

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6905

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6819

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6767

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6742

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6719

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6700

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6674

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6663

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6618

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6600

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6403

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6285

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6237

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6211

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6198

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6165

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6119

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6025

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5958

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5919

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5850

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5849

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5799

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5534

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5467

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5361

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5349

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5204

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5142

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5082

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5076

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4565

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4473

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4468

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4405

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4399

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4385

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4134

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4077

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3989

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3745

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3555

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3470

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3266

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3221

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2821

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2547

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2318

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2189

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2158

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2085

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1931

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1916

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1706

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1686

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1640

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1510

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1438

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1332

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1310

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1280

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1262

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1163

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1159

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1021

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1012

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1006

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0956

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0886

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0875

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0874

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0846

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0818

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0779

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0671

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0668

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0662

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0626

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0602

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0546

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`)