TreeWAS – [N76] Other inflammation of vagina and vulva

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
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.968	0.032	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.919	0.081	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.911	0.089	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.905	0.095	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.900	0.100	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.899	0.101	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.890	0.110	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.888	0.112	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.884	0.116	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.881	0.119	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.881	0.119	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.878	0.122	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.875	0.125	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.873	0.127	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.873	0.127	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.871	0.129	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.865	0.135	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.862	0.138	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.855	0.145	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.851	0.149	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.850	0.150	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.847	0.153	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.846	0.154	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.844	0.156	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.841	0.159	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.840	0.160	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.840	0.160	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.840	0.160	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.839	0.161	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.837	0.163	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.837	0.163	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.837	0.163	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.837	0.163	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.835	0.165	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.834	0.166	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.831	0.169	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.830	0.170	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.828	0.172	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.826	0.174	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.825	0.175	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.824	0.176	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.824	0.176	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.821	0.179	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.821	0.179	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.820	0.180	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.818	0.182	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.816	0.184	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.816	0.184	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.816	0.184	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.813	0.187	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.813	0.187	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.812	0.188	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.812	0.188	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.811	0.189	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.805	0.194	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.804	0.196	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.803	0.197	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.801	0.198	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.801	0.199	0.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.800	0.200	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.800	0.200	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.799	0.201	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.798	0.202	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.797	0.203	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.796	0.204	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.795	0.205	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.794	0.206	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.794	0.206	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.794	0.206	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.793	0.207	0.000
rs17212937 lBF = `111.386` Chr`6` : `32,681,339`	0.792	0.208	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.792	0.208	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.787	0.213	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.786	0.214	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.786	0.214	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.786	0.214	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.786	0.214	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.784	0.216	0.000
rs7765379 lBF = `110.484` Chr`6` : `32,680,928`	0.784	0.216	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.783	0.217	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.783	0.217	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.781	0.219	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.780	0.220	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.779	0.220	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.779	0.221	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.779	0.221	0.000
rs7764819 lBF = `111.178` Chr`6` : `32,680,576`	0.778	0.222	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.777	0.223	0.000
rs9369640 lBF = `41.0792` Chr`6` : `12,901,441`	0.776	0.224	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.774	0.226	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.774	0.226	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.774	0.226	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.773	0.227	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.772	0.228	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.771	0.229	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.770	0.230	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.769	0.231	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.768	0.232	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.768	0.232	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.767	0.233	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.764	0.236	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.764	0.236	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.763	0.236	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.763	0.237	0.000
rs1332844 lBF = `43.8712` Chr`6` : `12,889,004`	0.761	0.239	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.761	0.239	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.761	0.239	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.761	0.239	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.760	0.240	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.758	0.242	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.757	0.243	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.757	0.243	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.757	0.243	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.757	0.243	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.757	0.243	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.756	0.244	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.756	0.244	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.756	0.244	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.755	0.244	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.756	0.244	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.755	0.245	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.753	0.247	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.753	0.247	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.752	0.248	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.751	0.249	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.751	0.249	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.751	0.249	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.751	0.249	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.749	0.251	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.749	0.251	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.748	0.252	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.747	0.253	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.747	0.253	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.746	0.254	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.746	0.254	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.745	0.255	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.745	0.255	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.744	0.256	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.743	0.257	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.743	0.257	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.742	0.258	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.742	0.258	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.742	0.258	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.741	0.259	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.741	0.259	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.741	0.259	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.740	0.259	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.740	0.260	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.740	0.260	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.739	0.261	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.739	0.261	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.738	0.262	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.738	0.262	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.736	0.264	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.734	0.266	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.734	0.266	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.733	0.267	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.732	0.268	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.732	0.268	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.731	0.269	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.731	0.269	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.731	0.269	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.730	0.270	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.730	0.270	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.729	0.270	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.729	0.271	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.729	0.271	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.729	0.271	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.729	0.271	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.728	0.271	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.728	0.272	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.728	0.272	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.728	0.272	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.727	0.273	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.727	0.273	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.726	0.273	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.726	0.273	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.725	0.275	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.725	0.275	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.725	0.275	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.725	0.275	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.724	0.276	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.724	0.276	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.724	0.276	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.723	0.277	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.723	0.277	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.723	0.277	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.723	0.277	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.723	0.277	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.721	0.279	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.721	0.279	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.721	0.279	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.721	0.279	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.720	0.280	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.720	0.280	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.720	0.280	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.720	0.280	0.000
rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.719	0.281	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.719	0.281	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.719	0.281	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.718	0.282	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.718	0.282	0.000
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rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.651	0.349	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.651	0.349	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.650	0.350	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.650	0.350	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.650	0.350	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.650	0.350	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.649	0.350	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.649	0.350	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.649	0.351	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.649	0.351	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.648	0.352	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.648	0.352	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.648	0.352	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.648	0.352	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.647	0.353	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.647	0.353	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.647	0.353	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.646	0.353	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.646	0.354	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.646	0.354	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.645	0.355	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.644	0.356	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.644	0.356	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.644	0.356	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.644	0.356	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.644	0.356	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.644	0.356	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.643	0.357	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.641	0.358	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.641	0.359	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.641	0.359	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.641	0.359	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.640	0.360	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.640	0.360	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.640	0.360	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.640	0.360	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.640	0.360	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.640	0.360	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.639	0.360	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.639	0.361	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.639	0.361	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.639	0.361	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.638	0.362	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.638	0.362	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.637	0.363	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.637	0.363	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.637	0.363	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.636	0.363	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.636	0.364	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.636	0.364	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.636	0.364	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.636	0.364	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.635	0.365	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.635	0.365	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.635	0.365	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.635	0.365	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.634	0.366	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.634	0.366	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.634	0.366	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.634	0.366	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.634	0.366	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.633	0.367	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.633	0.367	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.633	0.367	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.633	0.367	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.633	0.367	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.632	0.368	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.632	0.368	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.632	0.368	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.632	0.368	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.631	0.368	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.631	0.369	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.631	0.369	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.631	0.369	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.630	0.370	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.630	0.370	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.630	0.370	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.630	0.370	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.630	0.370	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.630	0.370	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.629	0.371	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.629	0.371	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.629	0.371	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.628	0.371	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.628	0.372	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.628	0.372	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.627	0.373	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.627	0.373	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.627	0.373	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.627	0.373	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.627	0.373	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.626	0.373	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.626	0.373	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.626	0.374	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.626	0.374	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.626	0.374	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

0.3459

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2182

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0883

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9994

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9992

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9991

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9978

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9977

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9973

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9972

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9969

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9969

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9969

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9967

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9966

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9963

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9951

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9935

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9931

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9930

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9928

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9922

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9922

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9917

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9904

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9892

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9877

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9868

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9865

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9860

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9859

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9854

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9836

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9831

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9808

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9785

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9775

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9762

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9720

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9720

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9714

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9698

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9693

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9693

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9687

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9680

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9678

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9672

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9671

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9634

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9607

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9606

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9603

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9584

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9581

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9536

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9520

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9494

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9437

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9420

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9413

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9410

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9405

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9393

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9387

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9383

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9373

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9357

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9313

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9312

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9306

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9304

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9296

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9182

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9175

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9129

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9101

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9061

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9043

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9018

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9001

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8720

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8553

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8458

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8374

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7871

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7676

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7502

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7496

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7352

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7134

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7055

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6820

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6771

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6638

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6633

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6331

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6262

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5795

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5749

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5721

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5591

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5577

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5395

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5364

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5325

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5157

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5111

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5104

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5016

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4980

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4881

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4773

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4477

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4349

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4300

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4252

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3837

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3388

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3176

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3119

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.3012

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2847

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2702

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2229

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2074

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1744

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1571

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1396

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1390

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1318

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1163

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1074

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1046

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1006

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0776

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0738

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0718

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0708

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0670

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0663

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0604

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0553

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0520

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	N70-N77 Inflammatory diseases of female pelvic organs
Nested terms	N76.0 Acute vaginitis N76.1 Subacute and chronic vaginitis N76.2 Acute vulvitis N76.3 Subacute and chronic vulvitis N76.4 Abscess of vulva N76.5 Ulceration of vagina N76.6 Ulceration of vulva N76.8 Other specified inflammation of vagina and vulva

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`)