TreeWAS – [N94] Pain and other conditions associated with female genital organs and menstrual cycle

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
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.971	0.029	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.914	0.086	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.906	0.094	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.874	0.126	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.874	0.126	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.852	0.148	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.837	0.163	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.830	0.170	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.736	0.264	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.713	0.287	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.699	0.301	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.692	0.308	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.674	0.326	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.654	0.346	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.622	0.378	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.609	0.391	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.585	0.415	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.577	0.422	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.572	0.428	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.571	0.428	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.557	0.443	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.524	0.476	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.473	0.527	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.464	0.536	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.458	0.542	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.451	0.549	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.392	0.608	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.374	0.626	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.322	0.678	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.293	0.707	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.285	0.715	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.229	0.771	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.224	0.776	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.212	0.788	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.178	0.822	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.164	0.835	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.161	0.839	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.159	0.841	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.152	0.848	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.149	0.851	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.146	0.854	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.143	0.857	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.113	0.887	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.106	0.894	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.895	0.105
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.100	0.900	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.096	0.904	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.088	0.912	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.087	0.913	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.084	0.916	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.082	0.918	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.071	0.929	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.070	0.930	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.054	0.946	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.953	0.047
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.044	0.956	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.038	0.962	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.027	0.964	0.009
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.035	0.965	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.031	0.969	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.031	0.969	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.023	0.977	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.023	0.977	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.022	0.978	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.022	0.978	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.021	0.979	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.021	0.979	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.018	0.982	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.015	0.984	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.015	0.985	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.015	0.985	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.013	0.987	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.011	0.988	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.011	0.989	0.001
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.010	0.989	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.010	0.990	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.010	0.990	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.009	0.991	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.009	0.991	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.008	0.992	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	0.993	0.007
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.993	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.006	0.994	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.006	0.994	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.005	0.995	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.005	0.995	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.004	0.996	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.004	0.996	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.004	0.996	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.004	0.996	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.004	0.996	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.004	0.996	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.004	0.996	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	0.996	0.004
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.004	0.996	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	0.996	0.004
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.997	0.003
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.003	0.997	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.003	0.997	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.003	0.997	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.003	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.003	0.997	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.003	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.002	0.998	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	0.998	0.002
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.998	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.002	0.998	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.001	0.998	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.002	0.998	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	0.998	0.002
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.002	0.998	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.002	0.998	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.002	0.998	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	0.998	0.002
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.002	0.998	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	0.998	0.002
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.002	0.998	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	0.998	0.002
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.001
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.001
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.001	0.999	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.001	0.999	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	0.999	0.001
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.999	0.001
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.001
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.001	0.999	0.000
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rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	1.000	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs11642421 lBF = `-0.0718059` Chr`16` : `23,749,777`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9999

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9997

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9996

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9957

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9931

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9921

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9846

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9506

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9500

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9468

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9447

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9442

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9440

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9339

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9248

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9225

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9071

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9005

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8826

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8370

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8310

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8218

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7915

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7811

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7753

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7212

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7206

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6511

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6005

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6002

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5712

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4881

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4375

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3769

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3318

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3258

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2914

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2404

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1433

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1302

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1053

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0970

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0887

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0762

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0623

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0613

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0594

Cluster X0253

log Bayes Factor = 331.491

contains 13 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	N80-N98 Noninflammatory disorders of female genital tract
Nested terms	N94.0 Mittelschmerz N94.1 Dyspareunia N94.2 Vaginismus N94.3 Premenstrual tension syndrome N94.4 Primary dysmenorrhoea N94.5 Secondary dysmenorrhoea N94.6 Dysmenorrhoea, unspecified N94.8 Other specified conditions associated with female genital organs and menstrual cycle N94.9 Unspecified condition associated with female genital organs and menstrual cycle

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`)