TreeWAS – [D28.7] Other specified female genital organs

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
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.670	0.330	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.669	0.331	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.663	0.337	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.662	0.338	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.562	0.438	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.558	0.441	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.558	0.442	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.558	0.442	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.551	0.449	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.542	0.458	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.535	0.465	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.515	0.485	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.514	0.486	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.512	0.488	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.510	0.490	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.507	0.493	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.503	0.497	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.500	0.500	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.500	0.500	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.495	0.505	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.489	0.511	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.465	0.535	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.438	0.561	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.436	0.564	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.435	0.564	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.434	0.566	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.426	0.574	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.419	0.581	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.412	0.587	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.383	0.617	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.366	0.634	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.342	0.657	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.337	0.663	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.304	0.696	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.299	0.701	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.283	0.717	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.279	0.721	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.278	0.722	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.248	0.752	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.245	0.755	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.244	0.756	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.240	0.760	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.225	0.775	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.216	0.784	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.212	0.787	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.193	0.807	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.183	0.817	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.167	0.833	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.147	0.853	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.136	0.863	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.124	0.875	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.117	0.883	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.110	0.890	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.109	0.891	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.109	0.891	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.107	0.892	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.107	0.892	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.107	0.893	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.102	0.898	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.100	0.899	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.094	0.906	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.077	0.923	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.075	0.924	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.070	0.929	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.064	0.936	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.061	0.939	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.059	0.940	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.048	0.952	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.047	0.953	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.047	0.953	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.047	0.953	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.047	0.953	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.045	0.955	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.042	0.958	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.038	0.962	0.001
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.037	0.963	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.037	0.963	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.035	0.965	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.033	0.967	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.030	0.970	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.029	0.971	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.024	0.973	0.003
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.027	0.973	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.026	0.974	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.024	0.976	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.019	0.976	0.004
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.023	0.977	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.022	0.978	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.021	0.979	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.018	0.982	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.015	0.985	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.986	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.014	0.986	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.013	0.986	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.013	0.986	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.013	0.987	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.011	0.988	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.010	0.990	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.010	0.990	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.009	0.990	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.009	0.991	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.008	0.992	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.007	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.993	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.007	0.993	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.007	0.993	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.006	0.993	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.006	0.993	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.006	0.994	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.006	0.994	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.001	0.995	0.005
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.005	0.995	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.995	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.995	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.004	0.996	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.004	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.996	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.003	0.996	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.003	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.003
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.003	0.997	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.003	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.002	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.998	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.001	0.998	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	0.998	0.001
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.001	0.998	0.000
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.000	0.999	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.001	0.999	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.001	0.999	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	0.999	0.001
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.001	0.999	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.001	0.999	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.999	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
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rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	0.999	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	0.999	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	0.999	0.000
rs1532085 lBF = `-0.10098` Chr`15` : `58,683,366`	0.000	0.999	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	0.999	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	1.000	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	1.000	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	1.000	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	1.000	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	1.000	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	1.000	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	1.000	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.000	1.000	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	1.000	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	1.000	0.000
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	1.000	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	1.000	0.000
rs7182385 lBF = `-0.127416` Chr`15` : `85,435,076`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	1.000	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	1.000	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	1.000	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	1.000	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5614

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1231

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7160

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7153

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7152

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7150

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7136

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7124

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7109

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7090

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7080

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6977

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6975

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6918

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6851

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6757

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6725

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6722

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6712

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6565

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6503

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6501

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6500

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6465

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6458

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6453

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6383

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6375

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6363

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6355

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6334

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6319

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6315

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6305

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6256

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6228

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6222

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6212

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6210

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6206

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6150

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6126

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6089

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6012

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5990

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5983

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5933

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5930

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5923

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5923

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5913

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5861

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5854

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5839

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5839

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5828

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5740

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5733

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5709

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5704

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5679

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5655

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5655

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5647

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5630

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5629

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5610

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5587

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5568

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5560

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5525

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5522

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5493

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5493

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5489

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5484

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5470

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5452

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5442

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5409

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5379

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5331

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5298

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5287

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5276

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5251

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5198

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5153

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5139

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5105

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5092

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5070

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5029

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4952

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4944

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4844

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4843

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4820

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4730

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4720

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4714

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4700

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4625

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4544

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4450

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4091

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3754

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3623

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3595

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3530

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3515

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3344

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3342

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3233

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3197

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3102

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3022

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2836

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2645

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2637

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2625

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2575

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2466

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2427

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2207

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2013

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1999

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1832

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1691

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1666

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1194

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1059

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0979

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0792

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0783

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0706

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0671

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0611

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0598

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0593

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0536

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`)