TreeWAS – [N92] Excessive, frequent and irregular menstruation

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
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.987	0.013	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.983	0.017	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.852	0.148	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.795	0.205	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.719	0.281	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.711	0.289	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.704	0.296	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.703	0.297	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.673	0.327	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.533	0.467	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.515	0.485	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.500	0.500	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.490	0.509	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.448	0.552	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.417	0.583	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.413	0.587	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.369	0.631	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.363	0.637	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.345	0.655	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.293	0.706	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.290	0.710	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.261	0.739	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.227	0.773	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.227	0.773	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.227	0.773	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.201	0.799	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.191	0.809	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.191	0.809	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.186	0.814	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.183	0.817	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.167	0.832	0.001
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.168	0.832	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.165	0.835	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.164	0.836	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.145	0.855	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.142	0.858	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.108	0.892	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.087	0.913	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.084	0.916	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.079	0.921	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.073	0.927	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.072	0.928	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.068	0.932	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.057	0.943	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.055	0.945	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.054	0.946	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.050	0.950	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.045	0.955	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.044	0.956	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.040	0.960	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.038	0.962	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.963	0.037
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.035	0.965	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.035	0.965	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.032	0.968	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.026	0.974	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.026	0.974	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.020	0.980	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.010	0.980	0.011
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.015	0.980	0.004
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	0.981	0.019
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.015	0.985	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.014	0.986	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.011	0.988	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.011	0.989	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.009	0.991	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.009	0.991	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.009	0.991	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.009	0.991	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.007	0.992	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.992	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.007	0.993	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.007	0.993	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.007	0.993	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	0.993	0.007
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.006	0.994	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.006	0.994	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.006	0.994	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.005	0.994	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.994	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.005	0.994	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.006	0.994	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	0.995	0.005
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.996	0.001
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.004	0.996	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.003	0.996	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	0.997	0.003
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.003	0.997	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.003	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.003	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.997	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	0.997	0.003
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.002	0.998	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.002	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.002	0.998	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.998	0.002
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.001	0.999	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.001	0.999	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.001	0.999	0.000
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
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	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
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	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
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.001	0.999	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
rs143132326 lBF = `0` Chr`16` : `60,734,667`	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
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	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
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
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
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
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
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
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
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.001	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.001	0.999	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.001	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.001	0.999	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.001	0.999	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.001	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.001
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.001	0.999	0.000
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.000	0.999	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	0.999	0.001
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.001	0.999	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	0.999	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.001	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.001
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.001	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.001	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.000	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.000	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.999	0.001
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.000	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.000	0.999	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.000	1.000	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.000	1.000	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.000	1.000	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.000	1.000	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
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rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	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
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	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
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	1.000	0.000
rs11549837 lBF = `7.58732` Chr`16` : `88,779,739`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	1.000	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	1.000	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	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 X0173

log Bayes Factor = 654.164

contains 9 variants

0.9668

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

1.0000

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

1.0000

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

1.0000

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9999

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9998

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.9994

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9991

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9981

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9972

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9460

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8918

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5926

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4399

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2877

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2617

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2409

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2254

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1871

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1859

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1784

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1771

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1729

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1677

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1524

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1518

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1357

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1326

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0703

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0592

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0580

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0545

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0537

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	N92.0 Excessive and frequent menstruation with regular cycle N92.1 Excessive and frequent menstruation with irregular cycle N92.2 Excessive menstruation at puberty N92.3 Ovulation bleeding N92.4 Excessive bleeding in the premenopausal period N92.5 Other specified irregular menstruation N92.6 Irregular menstruation, unspecified

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`)