TreeWAS – [N75] Diseases of Bartholin's gland

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N75

Diseases of Bartholin's gland

Parent term	N70-N77 Inflammatory diseases of female pelvic organs
Nested terms	N75.0 Cyst of Bartholin's gland N75.1 Abscess of Bartholin's gland N75.8 Other diseases of Bartholin's gland N75.9 Disease of Bartholin's gland, unspecified

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Variant effects

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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
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.863	0.137	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.795	0.205	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.704	0.295	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.697	0.303	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.672	0.328	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.667	0.332	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.667	0.333	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.643	0.357	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.642	0.357	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.640	0.360	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.632	0.368	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.631	0.369	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.631	0.369	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.621	0.379	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.615	0.384	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.600	0.400	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.596	0.404	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.593	0.406	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.593	0.407	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.589	0.411	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.587	0.413	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.580	0.420	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.577	0.423	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.517	0.483	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.500	0.500	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.494	0.506	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.470	0.530	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.470	0.530	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.456	0.544	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.451	0.548	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.450	0.550	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.444	0.555	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.438	0.561	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.436	0.563	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.429	0.571	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.427	0.572	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.422	0.578	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.406	0.594	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.400	0.600	0.001
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.380	0.620	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.376	0.624	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.336	0.664	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.301	0.698	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.300	0.700	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.298	0.702	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.297	0.703	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.293	0.707	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.285	0.715	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.277	0.723	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.267	0.733	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.250	0.750	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.249	0.750	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.241	0.758	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.228	0.772	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.215	0.785	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.211	0.789	0.001
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.209	0.791	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.201	0.799	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.196	0.804	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.196	0.804	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.189	0.810	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.189	0.810	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.171	0.829	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.170	0.830	0.001
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.170	0.830	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.165	0.835	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.162	0.838	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.158	0.841	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.158	0.842	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.151	0.849	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.136	0.864	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.129	0.871	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.119	0.881	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.114	0.885	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.101	0.899	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.092	0.908	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.089	0.911	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.089	0.911	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.084	0.916	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.084	0.916	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.083	0.917	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.079	0.921	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.079	0.921	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.072	0.928	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.063	0.937	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.063	0.937	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.039	0.937	0.024
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.062	0.938	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.062	0.938	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.054	0.946	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.052	0.948	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.047	0.952	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.046	0.954	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.045	0.955	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.044	0.956	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.040	0.960	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.039	0.961	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.036	0.964	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.035	0.965	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.032	0.967	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.032	0.968	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.031	0.968	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.030	0.969	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.028	0.971	0.001
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.028	0.972	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.026	0.973	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.025	0.975	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.024	0.975	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.021	0.979	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.021	0.979	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.020	0.980	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.020	0.980	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.019	0.980	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.018	0.982	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.017	0.983	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.986	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.013	0.987	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.012	0.987	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.012	0.988	0.001
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.012	0.988	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.011	0.989	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.011	0.989	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.011	0.989	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.010	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.009	0.991	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.009	0.991	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	0.992	0.008
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.008	0.992	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.993	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	0.993	0.007
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.993	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.994	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.006	0.994	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.006	0.994	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	0.994	0.006
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.006	0.994	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.006	0.994	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	0.994	0.006
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	0.994	0.006
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.005	0.994	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	0.995	0.005
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	0.995	0.005
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.005	0.995	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	0.995	0.005
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.995	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	0.995	0.005
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.004	0.995	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.000	0.996	0.004
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	0.996	0.004
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	0.996	0.004
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	0.996	0.004
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	0.996	0.004
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.004	0.996	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	0.996	0.004
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.004	0.996	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	0.996	0.004
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.004	0.996	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	0.996	0.004
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	0.997	0.003
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.003	0.997	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	0.997	0.003
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.003	0.997	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	0.997	0.003
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	0.997	0.003
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.997	0.003
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	0.997	0.003
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	0.997	0.003
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	0.997	0.003
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	0.997	0.003
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	0.997	0.003
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.000	0.997	0.003
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.997	0.003
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	0.997	0.003
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.003	0.997	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.997	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.002	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.002	0.997	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.003	0.997	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	0.997	0.002
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	0.998	0.002
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	0.998	0.002
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.002	0.998	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.000	0.998	0.002
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	0.998	0.002
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	0.998	0.002
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	0.998	0.002
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	0.998	0.002
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	0.998	0.002
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rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.001
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	0.999	0.001
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.001	0.999	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	0.999	0.001
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	0.999	0.001
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	0.999	0.001
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	0.999	0.001
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	0.999	0.001
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	0.999	0.001
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	0.999	0.001
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	0.999	0.001
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	0.999	0.001
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	0.999	0.001
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	0.999	0.001
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.001	0.999	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	0.999	0.001
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	0.999	0.001
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.001	0.999	0.000
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.000	0.999	0.001
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.999	0.001
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.001	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.001
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.001	0.999	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	0.999	0.001
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.001	0.999	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	0.999	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	0.999	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.001	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	0.999	0.001
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.001	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.001	0.999	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	0.999	0.001
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	0.999	0.001
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	0.999	0.001
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.001	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	0.999	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	0.999	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	0.999	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.999	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.999	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.999	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	1.000	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	1.000	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	1.000	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	1.000	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	1.000	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.000	1.000	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	1.000	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	1.000	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	1.000	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4688

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3037

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9986

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9830

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9556

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9522

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9441

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9397

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9353

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9043

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8926

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8922

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8921

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8855

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8681

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8602

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8526

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8387

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8237

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8213

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7933

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7830

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7780

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7776

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7759

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7734

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7599

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7462

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7342

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7303

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7298

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7079

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6868

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6826

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6721

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6678

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6526

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6403

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6246

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6215

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6185

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6074

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5855

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5751

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5566

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5431

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5406

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5391

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5313

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5245

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5057

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4979

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4968

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4929

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4702

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4676

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4472

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.4356

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4332

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4244

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4219

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4001

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3983

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3947

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3850

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3843

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3808

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3797

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3713

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3709

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3604

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3587

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3568

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3558

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3467

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3445

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3413

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3398

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3371

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3356

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3152

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3134

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3102

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3092

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3068

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3022

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2986

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2901

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2835

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2697

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2682

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2677

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2666

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2651

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2628

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2609

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2577

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2386

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2337

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2302

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2260

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2205

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2197

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2192

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2167

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2151

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2071

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2012

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1983

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1978

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1975

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1953

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1923

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1922

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1851

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1822

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1814

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1807

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1786

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1744

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1702

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1696

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1691

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1690

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1646

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1586

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1538

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1498

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1491

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1295

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1257

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1238

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1077

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0928

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0808

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0766

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0668

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0621

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0605

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0603

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0516

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)

Hospitalization Episode Statistics (`HES`)