TreeWAS – [C52] Malignant neoplasm of vagina

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
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.917	0.083	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.883	0.117	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.881	0.119	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.877	0.123	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.869	0.131	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.857	0.143	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.795	0.205	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.787	0.213	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.770	0.230	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.770	0.230	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.768	0.232	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.765	0.235	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.762	0.238	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.741	0.258	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.737	0.263	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.735	0.265	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.722	0.278	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.718	0.282	0.000
rs17391694 lBF = `1.85741` Chr`1` : `78,623,626`	0.715	0.285	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.715	0.285	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.715	0.285	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.715	0.285	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.712	0.288	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.712	0.288	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.712	0.288	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.711	0.289	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.709	0.291	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.708	0.292	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.707	0.293	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.707	0.293	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.706	0.293	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.704	0.294	0.002
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.704	0.296	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.704	0.296	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.704	0.296	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.704	0.296	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.703	0.296	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.703	0.297	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.703	0.297	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.703	0.297	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.702	0.297	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.702	0.298	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.701	0.298	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.700	0.300	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.700	0.300	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.699	0.301	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.698	0.302	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.698	0.302	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.697	0.303	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.697	0.303	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.696	0.304	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.696	0.304	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.695	0.305	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.695	0.305	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.695	0.305	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.695	0.305	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.695	0.305	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.694	0.306	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.694	0.306	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.693	0.306	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.693	0.307	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.692	0.308	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.692	0.308	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.692	0.308	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.692	0.308	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.692	0.308	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.691	0.309	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.690	0.310	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.689	0.310	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.689	0.311	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.689	0.311	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.687	0.311	0.001
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.687	0.312	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.687	0.313	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.686	0.313	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.686	0.314	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.686	0.314	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.686	0.314	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.686	0.314	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.685	0.315	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.683	0.317	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.683	0.317	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.683	0.317	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.682	0.318	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.681	0.319	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.681	0.319	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.680	0.320	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.680	0.320	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.680	0.320	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.679	0.321	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.679	0.321	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.679	0.321	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.679	0.321	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.678	0.322	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.678	0.322	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.678	0.322	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.677	0.322	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.677	0.323	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.677	0.323	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.677	0.323	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.676	0.324	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.676	0.324	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.675	0.325	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.674	0.326	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.674	0.326	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.674	0.326	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.674	0.326	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.674	0.326	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.673	0.327	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.673	0.327	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.673	0.327	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.673	0.327	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.673	0.327	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.672	0.328	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.672	0.328	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.672	0.328	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.672	0.328	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.671	0.328	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.670	0.329	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.670	0.329	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.670	0.330	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.670	0.330	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.668	0.332	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.667	0.332	0.000
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.667	0.333	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.666	0.334	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.666	0.334	0.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	0.666	0.334	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.665	0.335	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.665	0.335	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.665	0.335	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.665	0.335	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.664	0.336	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.664	0.336	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.663	0.336	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.663	0.336	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.663	0.337	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.662	0.337	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.662	0.338	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.661	0.339	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.661	0.339	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.661	0.339	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.661	0.339	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.661	0.339	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.661	0.339	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.660	0.340	0.000
rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.660	0.340	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.660	0.340	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.660	0.340	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.659	0.341	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.659	0.341	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.659	0.341	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.658	0.342	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.658	0.342	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.658	0.342	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.658	0.342	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.658	0.342	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.657	0.343	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.657	0.343	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.657	0.343	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.656	0.344	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.656	0.344	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.656	0.344	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.656	0.344	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.655	0.345	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.655	0.345	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.655	0.345	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.655	0.345	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.655	0.345	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.654	0.345	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.654	0.345	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.654	0.346	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.654	0.346	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.653	0.346	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.653	0.347	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.653	0.347	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.653	0.347	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.653	0.347	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.652	0.347	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.652	0.348	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.652	0.348	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.652	0.348	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.652	0.348	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.652	0.348	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.651	0.349	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.651	0.349	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.651	0.349	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.651	0.349	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.651	0.349	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.650	0.349	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.650	0.350	0.000
rs73045695 lBF = `7.26665` Chr`3` : `177,547,836`	0.650	0.350	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.650	0.350	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.650	0.350	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.650	0.350	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.649	0.350	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.649	0.350	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.649	0.351	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.649	0.351	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.649	0.351	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.647	0.353	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.647	0.353	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.647	0.353	0.000
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rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.609	0.391	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.608	0.391	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.608	0.391	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.608	0.392	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.608	0.392	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.608	0.392	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.608	0.392	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.608	0.392	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.608	0.392	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.608	0.392	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.607	0.392	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.607	0.393	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.607	0.393	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.607	0.393	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.607	0.393	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.607	0.393	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.606	0.393	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.606	0.394	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.606	0.394	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.606	0.394	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.606	0.394	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.606	0.394	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.606	0.394	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.605	0.395	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.605	0.395	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.605	0.395	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.605	0.395	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.604	0.395	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.604	0.396	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.396	0.604
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.604	0.396	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.604	0.396	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.604	0.396	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.604	0.396	0.000
rs6713543 lBF = `5.72841` Chr`2` : `1,635,176`	0.603	0.397	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.603	0.397	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.603	0.397	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.603	0.397	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.603	0.397	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.603	0.397	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.603	0.397	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.602	0.397	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.602	0.398	0.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.398	0.601
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.601	0.399	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.601	0.399	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.601	0.399	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.601	0.399	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.600	0.399	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.600	0.400	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.600	0.400	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.600	0.400	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.600	0.400	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.600	0.400	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.600	0.400	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.600	0.400	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.599	0.400	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.599	0.401	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.599	0.401	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.599	0.401	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.599	0.401	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.599	0.401	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.599	0.401	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.599	0.401	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.599	0.401	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.598	0.402	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.597	0.402	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.597	0.402	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.597	0.403	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.597	0.403	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.597	0.403	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.597	0.403	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.597	0.403	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.597	0.403	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.597	0.403	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.597	0.403	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.596	0.404	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.596	0.404	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.000	0.405	0.595
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.594	0.405	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.594	0.406	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.594	0.406	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.594	0.406	0.000
rs116571774 lBF = `18.8021` Chr`6` : `32,594,612`	0.000	0.406	0.594
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.594	0.406	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.594	0.406	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.594	0.406	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.594	0.406	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.593	0.406	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.593	0.406	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.593	0.407	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.593	0.407	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.593	0.407	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.593	0.407	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.593	0.407	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

0.3189

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0778

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9538

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9429

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9338

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9235

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8938

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8735

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8567

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8432

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8415

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8225

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8052

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7963

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7929

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7795

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7714

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7613

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7567

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7508

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7287

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7167

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7167

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7166

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7161

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7160

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7154

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7154

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7148

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7144

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7141

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7139

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7132

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7127

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7071

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7035

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7030

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7005

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6969

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6968

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6924

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6912

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6901

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6901

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6899

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6886

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6872

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6867

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6815

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6813

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.6811

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6809

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6796

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6775

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6765

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6760

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6749

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6740

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6697

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6605

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6604

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6521

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6517

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6517

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6455

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6454

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6353

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6351

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6347

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6310

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6246

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6235

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6217

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6212

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6193

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6184

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6172

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6143

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6132

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6112

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6058

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6033

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5940

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5725

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5678

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5639

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5614

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5603

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5594

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5535

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5488

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5485

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5403

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5364

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5360

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5286

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5250

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5250

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5210

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5171

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5008

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5004

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5001

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4999

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4994

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4980

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4871

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4832

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4817

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4739

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4730

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4678

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4601

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4588

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4562

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4539

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4536

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4457

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4416

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4371

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4367

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4349

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4347

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4305

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4303

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4297

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4258

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4193

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4182

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4172

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4032

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3996

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3949

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3946

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3898

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3845

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3845

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3832

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3803

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3780

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3759

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3736

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3649

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3643

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3607

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3573

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3508

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3478

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3419

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3402

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3371

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3369

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3357

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3347

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3313

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3267

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3216

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3191

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3171

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3167

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3113

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3109

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3066

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2942

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2907

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2874

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2850

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2829

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2789

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2739

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2600

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2535

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2489

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2364

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2314

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2308

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2270

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2208

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2199

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2198

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2170

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2127

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2115

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2085

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2051

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2020

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1826

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1794

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1677

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1673

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1641

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1594

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1570

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1565

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1511

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1500

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1469

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1436

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1356

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1282

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1041

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1005

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.0998

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0993

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0861

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0779

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0745

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0706

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0684

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0645

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0605

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`)