TreeWAS – [O70.9] Perineal laceration during delivery, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.882	0.117	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.856	0.144	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.848	0.152	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.807	0.193	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.805	0.195	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.802	0.198	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.797	0.203	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.792	0.208	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.792	0.208	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.788	0.212	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.786	0.214	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.785	0.215	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.782	0.218	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.775	0.225	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.769	0.231	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.768	0.232	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.760	0.240	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.759	0.241	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.752	0.248	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.750	0.250	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.749	0.251	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.747	0.253	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.746	0.254	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.743	0.256	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.744	0.256	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.741	0.259	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.739	0.261	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.737	0.263	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.737	0.263	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.736	0.264	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.735	0.265	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.734	0.266	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.725	0.275	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.722	0.278	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.716	0.284	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.716	0.284	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.715	0.285	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.715	0.285	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.713	0.287	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.711	0.289	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.711	0.289	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.289	0.711
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.710	0.290	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.291	0.709
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.709	0.291	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.706	0.294	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.706	0.294	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.704	0.296	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.704	0.296	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.704	0.296	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.704	0.296	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.703	0.297	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.702	0.298	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.701	0.298	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.701	0.299	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.699	0.301	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.699	0.301	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.698	0.301	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.698	0.302	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.698	0.302	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.697	0.303	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.696	0.303	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.696	0.304	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.696	0.304	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.696	0.304	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.696	0.304	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.696	0.304	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.695	0.305	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.694	0.306	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.694	0.306	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.692	0.308	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.692	0.308	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.691	0.309	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.689	0.311	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.689	0.311	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.688	0.312	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.688	0.312	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.688	0.312	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.688	0.312	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.688	0.312	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.687	0.313	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.686	0.314	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.685	0.315	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.685	0.315	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.684	0.316	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.684	0.316	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.684	0.316	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.684	0.316	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.684	0.316	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.683	0.317	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.682	0.317	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.682	0.318	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.682	0.318	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.681	0.319	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.681	0.319	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.680	0.320	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.679	0.321	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.679	0.321	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.679	0.321	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.678	0.322	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.678	0.322	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.677	0.323	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.676	0.324	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.676	0.324	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.675	0.324	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.674	0.326	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.674	0.326	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.674	0.326	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.674	0.326	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.674	0.326	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.326	0.674
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.673	0.327	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.673	0.327	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.672	0.328	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.671	0.328	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.671	0.329	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.670	0.330	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.670	0.330	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.669	0.331	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.669	0.331	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.669	0.331	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.669	0.331	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.669	0.331	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.666	0.333	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.666	0.333	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.666	0.334	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.666	0.334	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.665	0.335	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.664	0.336	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.664	0.336	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.663	0.337	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.663	0.337	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.662	0.338	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.662	0.338	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.662	0.338	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.661	0.338	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.661	0.339	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.661	0.339	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.660	0.339	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.660	0.340	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.660	0.340	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.660	0.340	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.658	0.342	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.657	0.343	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.657	0.343	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.656	0.343	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.656	0.344	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.655	0.345	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.654	0.346	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.654	0.346	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.654	0.346	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.653	0.347	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.653	0.347	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.653	0.347	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.652	0.348	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.348	0.652
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.652	0.348	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.651	0.349	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.651	0.349	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.650	0.350	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.650	0.350	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.650	0.350	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.650	0.350	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.650	0.350	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.649	0.350	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.649	0.351	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.649	0.351	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.647	0.353	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.647	0.353	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.646	0.353	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.646	0.354	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.646	0.354	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.354	0.646
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.645	0.355	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.644	0.356	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.644	0.356	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.643	0.356	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.643	0.357	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.643	0.357	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.642	0.357	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.642	0.358	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.642	0.358	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.641	0.358	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.359	0.641
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.641	0.359	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.641	0.359	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.641	0.359	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.640	0.360	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.640	0.360	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.639	0.361	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.638	0.362	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.638	0.362	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.637	0.362	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.363	0.637
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.636	0.364	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.636	0.364	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.636	0.364	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.635	0.365	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.635	0.365	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.635	0.365	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.635	0.365	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.634	0.366	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.634	0.366	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.634	0.366	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.634	0.366	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.634	0.366	0.000
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rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.631	0.369	0.000
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rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.611	0.389	0.000
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rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.541	0.459	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.541	0.459	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.541	0.459	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.540	0.460	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.539	0.460	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.538	0.462	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.538	0.462	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.537	0.462	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.537	0.462	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.537	0.463	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.537	0.463	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.537	0.463	0.000
rs12188351 lBF = `0.905107` Chr`5` : `168,386,089`	0.000	0.464	0.536
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.536	0.464	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.535	0.465	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.465	0.535
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.535	0.465	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.534	0.466	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.534	0.466	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.534	0.466	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.533	0.467	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.532	0.468	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.532	0.468	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.532	0.468	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.469	0.531
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.531	0.469	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.531	0.469	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.531	0.469	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.531	0.469	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.531	0.469	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.531	0.469	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.530	0.469	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.530	0.470	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.530	0.470	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.529	0.470	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.529	0.471	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.529	0.471	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.529	0.471	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.529	0.471	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.528	0.471	0.000
rs2240066 lBF = `13.7416` Chr`6` : `31,114,335`	0.528	0.472	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.527	0.473	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.527	0.473	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.527	0.473	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.527	0.473	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.526	0.474	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.525	0.474	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.525	0.475	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.525	0.475	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.525	0.475	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.525	0.475	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.525	0.475	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.525	0.475	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.524	0.476	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.523	0.476	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.524	0.476	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.523	0.476	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.523	0.477	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.521	0.479	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.520	0.480	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.520	0.480	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.519	0.481	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.519	0.481	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.518	0.482	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.518	0.482	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.517	0.483	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.517	0.483	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.517	0.483	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.517	0.483	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.516	0.483	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.516	0.484	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.516	0.484	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.516	0.484	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.516	0.484	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.516	0.484	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.515	0.485	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.515	0.485	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.515	0.485	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.515	0.485	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.514	0.486	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.514	0.486	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.513	0.487	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.513	0.487	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.513	0.487	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.513	0.487	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.513	0.487	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.513	0.487	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.512	0.487	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.512	0.488	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.512	0.488	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.512	0.488	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.512	0.488	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.512	0.488	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.511	0.489	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.510	0.490	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5312

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2267

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9685

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9381

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8890

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8655

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8457

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8316

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8180

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8138

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8130

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7858

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7670

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7563

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7378

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7230

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7203

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7197

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7172

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7165

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7140

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7103

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7093

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7037

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6962

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6954

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6907

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6897

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6618

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6611

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6194

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6159

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6134

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6098

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6064

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6027

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6018

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5926

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5829

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5795

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5614

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5566

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5349

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5330

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5249

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5193

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5181

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4462

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4352

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4319

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4243

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4094

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4093

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3998

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3824

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3799

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3789

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3701

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3566

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3565

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3557

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3521

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3398

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3391

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3251

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3251

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3210

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3208

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3157

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3151

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3058

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3053

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3039

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3007

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2935

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2890

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2847

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2817

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2815

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2773

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2645

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2598

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2461

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2441

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2409

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2290

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2235

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2216

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2207

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2143

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2128

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2074

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2045

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2010

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1968

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1940

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1926

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1913

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1890

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1887

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1872

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1805

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1800

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1758

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1744

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1665

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1664

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1651

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1646

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1622

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1621

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1537

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1482

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1439

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1411

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1392

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1388

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1344

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1321

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1291

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1289

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1251

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1195

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1096

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0964

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0963

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0923

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0907

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0882

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0856

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0834

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0789

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0785

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0750

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0725

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0693

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0671

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0664

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0652

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0592

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0591

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0574

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0552

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0536

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0531

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0506

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`)