TreeWAS – [C53] Malignant neoplasm of cervix uteri

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
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.988	0.012	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.972	0.028	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.936	0.064	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.917	0.083	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.894	0.106	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.883	0.117	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.871	0.129	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.868	0.131	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.865	0.135	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.858	0.142	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.854	0.146	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.851	0.149	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.845	0.155	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.839	0.161	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.839	0.161	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.834	0.166	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.834	0.166	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.832	0.167	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.832	0.168	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.828	0.172	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.824	0.176	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.824	0.176	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.823	0.177	0.000
rs12140275 lBF = `1.29665` Chr`1` : `38,633,879`	0.000	0.177	0.823
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.820	0.180	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.820	0.180	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.813	0.187	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.809	0.191	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.808	0.192	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.808	0.192	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.806	0.193	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.805	0.195	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.804	0.196	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.804	0.196	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.799	0.201	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.798	0.202	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.796	0.204	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.794	0.206	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.792	0.208	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.791	0.208	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.787	0.213	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.787	0.213	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.785	0.215	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.784	0.216	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.784	0.216	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.783	0.217	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.782	0.218	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.781	0.219	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.780	0.220	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.779	0.221	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.778	0.222	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.777	0.223	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.776	0.224	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.776	0.224	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.776	0.224	0.000
rs28534808 lBF = `16.0989` Chr`6` : `32,633,855`	0.000	0.227	0.773
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.770	0.230	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.770	0.230	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.765	0.235	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.762	0.238	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.761	0.239	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.761	0.239	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.761	0.239	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.760	0.240	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.759	0.241	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.759	0.241	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.759	0.241	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.757	0.243	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.756	0.244	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.755	0.244	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.755	0.245	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.755	0.245	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.753	0.247	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.753	0.247	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.752	0.248	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.751	0.249	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.751	0.249	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.751	0.249	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.750	0.250	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.254	0.746
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.745	0.255	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.745	0.255	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.744	0.256	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.744	0.256	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.744	0.256	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.744	0.256	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.744	0.256	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.743	0.257	0.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.259	0.741
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.740	0.260	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.740	0.260	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.739	0.261	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.737	0.262	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.737	0.262	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.736	0.264	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.735	0.265	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.735	0.265	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.735	0.265	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.000	0.265	0.735
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.734	0.266	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.734	0.266	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.734	0.266	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.734	0.266	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.733	0.266	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.732	0.268	0.000
rs116571774 lBF = `18.8021` Chr`6` : `32,594,612`	0.000	0.268	0.731
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.731	0.269	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.731	0.269	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.729	0.270	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.728	0.272	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.728	0.272	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.727	0.272	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.727	0.273	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.727	0.273	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.727	0.273	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.726	0.274	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.726	0.274	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.726	0.274	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.726	0.274	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.725	0.275	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.724	0.276	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.724	0.276	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.723	0.276	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.723	0.277	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.723	0.277	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.722	0.278	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.721	0.279	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.721	0.279	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.721	0.279	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.720	0.280	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.720	0.280	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.719	0.281	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.719	0.281	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.719	0.281	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.719	0.281	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.719	0.281	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.715	0.285	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.713	0.287	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.713	0.287	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.712	0.288	0.000
rs115070742 lBF = `19.7652` Chr`6` : `32,522,053`	0.000	0.288	0.712
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.712	0.288	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.711	0.289	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.711	0.289	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.711	0.289	0.000
rs77015620 lBF = `18.4816` Chr`6` : `32,583,783`	0.000	0.289	0.711
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.711	0.289	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.710	0.290	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.710	0.290	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.710	0.290	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.710	0.290	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.709	0.291	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.709	0.291	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.709	0.291	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.708	0.292	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.708	0.292	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.707	0.293	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.705	0.295	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.705	0.295	0.000
rs2050189 lBF = `49.4345` Chr`6` : `32,339,647`	0.704	0.295	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.704	0.296	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.703	0.297	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.702	0.297	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.702	0.298	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.702	0.298	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.702	0.298	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.702	0.298	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.702	0.298	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.702	0.298	0.000
rs73729108 lBF = `17.2585` Chr`6` : `32,514,607`	0.000	0.298	0.701
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.701	0.299	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.701	0.299	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.701	0.299	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.701	0.299	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.700	0.300	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.699	0.301	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.699	0.301	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.698	0.301	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.697	0.303	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.697	0.303	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.695	0.305	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.695	0.305	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.695	0.305	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.694	0.306	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.693	0.307	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.692	0.308	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.692	0.308	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.692	0.308	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.692	0.308	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.691	0.309	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.691	0.309	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.690	0.309	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.689	0.311	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.689	0.311	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.689	0.311	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.688	0.312	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.688	0.312	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.687	0.312	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.687	0.313	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.687	0.313	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.687	0.313	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.686	0.313	0.000
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rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.673	0.327	0.000
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rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.672	0.328	0.000
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rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.629	0.371	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.629	0.371	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.628	0.372	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.628	0.372	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.628	0.372	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.627	0.373	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.627	0.373	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.627	0.373	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.626	0.374	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.626	0.374	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.626	0.374	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.626	0.374	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.625	0.375	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.625	0.375	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.625	0.375	0.000
rs12131057 lBF = `1.07199` Chr`1` : `38,624,129`	0.000	0.375	0.625
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.624	0.376	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.624	0.376	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.624	0.376	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.624	0.376	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.624	0.376	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.624	0.376	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.624	0.376	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.624	0.376	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.623	0.377	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.623	0.377	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.623	0.377	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.623	0.377	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.623	0.377	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.623	0.377	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.622	0.377	0.000
rs17599629 lBF = `5.8531` Chr`1` : `150,658,287`	0.623	0.377	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.622	0.378	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.622	0.378	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.622	0.378	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.622	0.378	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.622	0.378	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.622	0.378	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.622	0.378	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.621	0.379	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.621	0.379	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.621	0.379	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.620	0.380	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.620	0.380	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.619	0.380	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.619	0.381	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.619	0.381	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.618	0.381	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.618	0.381	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.618	0.382	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.618	0.382	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.618	0.382	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.618	0.382	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.618	0.382	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.617	0.382	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.618	0.382	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.618	0.382	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.617	0.383	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.616	0.384	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.616	0.384	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.616	0.384	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.615	0.384	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.615	0.384	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.615	0.384	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.615	0.385	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.615	0.385	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.615	0.385	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.614	0.386	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.614	0.386	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.614	0.386	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.614	0.386	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.613	0.387	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.613	0.387	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.611	0.389	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.610	0.390	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.610	0.390	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.610	0.390	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.610	0.390	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.610	0.390	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.610	0.390	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.609	0.391	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.609	0.391	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.609	0.391	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.609	0.391	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.608	0.391	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.608	0.392	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.608	0.392	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.608	0.392	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.607	0.393	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.607	0.393	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.606	0.393	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.606	0.394	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.606	0.394	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.605	0.395	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.605	0.395	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.605	0.395	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.604	0.395	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

0.2775

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0804

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9960

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9885

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9881

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9781

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9742

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9728

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9527

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9459

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9396

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9388

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9369

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9319

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9242

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9219

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9215

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9199

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9150

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9135

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9055

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8957

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8948

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8827

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8811

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8808

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8767

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8441

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8408

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8401

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8388

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8367

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8270

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8201

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8048

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8016

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8009

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7990

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7694

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7688

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7432

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7345

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7303

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7302

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7265

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7243

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7221

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7167

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7159

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7132

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7122

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7080

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7062

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7009

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6982

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6944

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6931

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6820

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6808

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.6640

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6612

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6440

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6426

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6233

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6159

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6125

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5911

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5893

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5803

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5700

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5698

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5688

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5671

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5564

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5540

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5538

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5527

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5516

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5427

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5421

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5413

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5356

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5341

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5328

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5327

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5241

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5184

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5167

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5134

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5131

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5066

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5035

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4999

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4978

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4960

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4942

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4927

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4808

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4747

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4744

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4741

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4714

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4681

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4677

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4675

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4670

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4670

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4664

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4557

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4504

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4497

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4475

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4412

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4351

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4308

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4298

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4208

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4192

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4158

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4137

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4077

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4070

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3969

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3938

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3869

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3831

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3819

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3817

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3811

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3733

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3692

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3684

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3613

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3554

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3484

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3378

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3372

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3346

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3334

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3333

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3323

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3036

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3004

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2997

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2957

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2904

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.2877

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2861

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2840

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2784

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2771

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2709

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2639

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2621

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2591

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2562

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2546

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2519

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2460

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2451

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2446

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2404

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2383

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2351

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2300

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2260

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2209

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2180

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2176

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2176

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2158

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2130

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2065

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2028

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2018

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1942

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1911

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1895

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1886

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1853

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1840

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1807

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1803

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1737

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1590

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1578

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1515

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1476

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1376

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1363

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1360

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1337

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1285

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1274

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1233

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1219

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0996

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0985

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0959

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0794

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0700

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0632

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0631

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0580

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0571

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0540

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.0534

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0517

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0508

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.

Parent term	C51-C58 Malignant neoplasms of female genital organs
Nested terms	C53.0 Endocervix C53.1 Exocervix C53.8 Overlapping lesion of cervix uteri C53.9 Cervix uteri, unspecified

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`)