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
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.992	0.008	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.992	0.008	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.989	0.011	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.979	0.021	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.970	0.030	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.955	0.045	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.949	0.051	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.940	0.060	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.930	0.070	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.926	0.074	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.884	0.116	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.883	0.117	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.877	0.123	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.857	0.143	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.837	0.163	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.812	0.188	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.798	0.202	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.793	0.207	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.735	0.265	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.690	0.310	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.679	0.321	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.667	0.333	0.000
rs7379133 lBF = `0.534615` Chr`5` : `2,149,210`	0.665	0.335	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.664	0.336	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.661	0.339	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.649	0.351	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.606	0.394	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.593	0.407	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.583	0.417	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.559	0.441	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.549	0.451	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.506	0.494	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.497	0.503	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.460	0.540	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.452	0.547	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.438	0.562	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.433	0.567	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.425	0.575	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.424	0.576	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.387	0.613	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.348	0.652	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.343	0.657	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.312	0.688	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.303	0.697	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.301	0.699	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.297	0.703	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.295	0.705	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.289	0.711	0.000
rs78277363 lBF = `0.668437` Chr`5` : `7,627,242`	0.000	0.711	0.289
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.289	0.711	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.255	0.745	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.232	0.768	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.232	0.768	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.221	0.779	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.217	0.783	0.000
rs148369438 lBF = `0.0996689` Chr`5` : `50,428,735`	0.209	0.791	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.207	0.793	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.205	0.794	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.196	0.803	0.000
rs17658229 lBF = `1.04603` Chr`5` : `172,191,052`	0.000	0.805	0.194
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.185	0.815	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.179	0.821	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.162	0.838	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.152	0.848	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.149	0.851	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.137	0.863	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.132	0.868	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.125	0.875	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.124	0.875	0.001
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.123	0.877	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.122	0.878	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.094	0.906	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.091	0.909	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.084	0.916	0.001
rs75002042 lBF = `0.149004` Chr`5` : `15,669,967`	0.079	0.921	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.077	0.923	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.076	0.924	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.076	0.924	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.075	0.925	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.073	0.927	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.072	0.928	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.072	0.928	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.063	0.937	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.062	0.938	0.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.060	0.940	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.059	0.941	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.058	0.942	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.052	0.948	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.049	0.951	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.049	0.951	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.048	0.952	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.045	0.955	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.044	0.956	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.042	0.957	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.041	0.959	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.038	0.962	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.038	0.962	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.037	0.963	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.037	0.963	0.000
rs10463833 lBF = `0.0826456` Chr`5` : `127,122,312`	0.037	0.963	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.033	0.967	0.000
rs7722425 lBF = `0.0856015` Chr`5` : `127,125,762`	0.031	0.969	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.030	0.970	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.025	0.975	0.000
rs2463505 lBF = `0.0498734` Chr`5` : `9,357,056`	0.000	0.975	0.025
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.025	0.975	0.000
rs74935252 lBF = `0.0234557` Chr`5` : `79,029,311`	0.024	0.976	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.023	0.976	0.001
rs12513840 lBF = `0.0322513` Chr`5` : `127,059,942`	0.023	0.977	0.000
rs10463832 lBF = `0.0226073` Chr`5` : `127,110,486`	0.023	0.977	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.023	0.977	0.000
rs35658696 lBF = `12.0059` Chr`5` : `102,338,811`	0.000	0.978	0.022
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.022	0.978	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.000	0.978	0.022
rs74566838 lBF = `10.5792` Chr`5` : `102,034,612`	0.000	0.978	0.022
rs7729395 lBF = `10.3314` Chr`5` : `102,100,576`	0.000	0.978	0.022
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.021	0.979	0.000
rs4835929 lBF = `0.0248846` Chr`5` : `127,054,278`	0.020	0.980	0.000
rs12523164 lBF = `0.00909334` Chr`5` : `127,061,971`	0.019	0.981	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.018	0.982	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.000	0.982	0.018
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.985	0.015
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.014	0.986	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.014	0.986	0.000
rs185237819 lBF = `0.0140932` Chr`5` : `78,044,910`	0.014	0.986	0.000
rs6862909 lBF = `0.00302349` Chr`5` : `115,120,434`	0.000	0.987	0.013
rs2973662 lBF = `0.0124314` Chr`5` : `167,210,472`	0.013	0.987	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.013	0.987	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.013	0.987	0.000
rs116454070 lBF = `9.0186` Chr`5` : `101,837,362`	0.000	0.989	0.011
rs344650 lBF = `0.0649083` Chr`5` : `77,860,608`	0.000	0.989	0.011
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.011	0.989	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.010	0.990	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.006	0.990	0.004
rs142324060 lBF = `0.0191395` Chr`5` : `95,425,757`	0.000	0.990	0.010
rs365132 lBF = `4.26745` Chr`5` : `176,378,574`	0.010	0.990	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.010	0.990	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.010	0.990	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.009	0.990	0.000
rs7715172 lBF = `0.0067921` Chr`5` : `38,452,894`	0.009	0.991	0.000
rs1515641 lBF = `0.0284563` Chr`5` : `127,139,616`	0.009	0.991	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.008	0.992	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.008	0.992	0.000
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.008	0.992	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.008	0.992	0.000
rs16891982 lBF = `8.92186` Chr`5` : `33,951,693`	0.007	0.993	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.006	0.993	0.001
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.007	0.993	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.000	0.993	0.007
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.007	0.993	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.007	0.993	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.007	0.993	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.006	0.994	0.000
rs1904173 lBF = `-0.0321334` Chr`5` : `25,420,089`	0.006	0.994	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.001	0.994	0.005
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.006	0.994	0.000
rs1279750 lBF = `0.4058` Chr`5` : `180,595,138`	0.006	0.994	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.005	0.994	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.005	0.995	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.005	0.995	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.005	0.995	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.005	0.995	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.005	0.995	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.005	0.995	0.000
rs12332430 lBF = `0.165453` Chr`5` : `147,550,297`	0.005	0.995	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.004	0.996	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.004	0.996	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.004	0.996	0.000
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.000	0.996	0.004
rs187769864 lBF = `0.00460436` Chr`5` : `151,012,313`	0.003	0.996	0.000
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.003	0.996	0.000
rs78162670 lBF = `9.08078` Chr`5` : `101,662,386`	0.000	0.996	0.004
rs55988457 lBF = `0.175974` Chr`5` : `96,949,073`	0.003	0.996	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.003	0.997	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.003	0.997	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.003	0.997	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.003	0.997	0.000
rs9325081 lBF = `0.150395` Chr`5` : `147,551,346`	0.003	0.997	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.000	0.997	0.003
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.000	0.997	0.003
rs114403726 lBF = `-0.00106192` Chr`5` : `154,056,080`	0.003	0.997	0.000
rs10476890 lBF = `0.148001` Chr`5` : `147,548,263`	0.003	0.997	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.003	0.997	0.000
rs4958456 lBF = `0.0531344` Chr`5` : `149,623,365`	0.000	0.997	0.003
rs2964898 lBF = `0.0192931` Chr`5` : `85,512,240`	0.000	0.997	0.003
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.002	0.997	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.002	0.997	0.000
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.002	0.998	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.002	0.998	0.000
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.002	0.998	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.002	0.998	0.000
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.002	0.998	0.000
rs36046591 lBF = `10.7656` Chr`5` : `102,537,285`	0.000	0.998	0.002
rs564885564 lBF = `0.0364071` Chr`5` : `25,438,388`	0.000	0.998	0.002
rs73117804 lBF = `-0.00880792` Chr`5` : `75,649,280`	0.000	0.998	0.002
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.000	0.998	0.001
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs6890783 lBF = `0.00693409` Chr`5` : `172,292,306`	0.002	0.998	0.000
rs830884 lBF = `0.0159547` Chr`5` : `52,020,396`	0.002	0.998	0.000
rs11959975 lBF = `0.00074545` Chr`5` : `9,902,829`	0.001	0.998	0.000
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rs148992089 lBF = `0.00070684` Chr`5` : `158,379,842`	0.000	1.000	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.000	1.000	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.000	1.000	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.000	1.000	0.000
rs10061074 lBF = `0.0264075` Chr`5` : `174,132,754`	0.000	1.000	0.000
rs814585 lBF = `0.00870084` Chr`5` : `10,533,451`	0.000	1.000	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.000	1.000	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.000	1.000	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.000	1.000	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.000	1.000	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.000	1.000	0.000
rs12655917 lBF = `1.58029` Chr`5` : `77,291,940`	0.000	1.000	0.000
rs37439 lBF = `0.831857` Chr`5` : `34,951,150`	0.000	1.000	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.000	1.000	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.000	1.000	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.000	1.000	0.000
rs7705924 lBF = `0.00027709` Chr`5` : `101,946,798`	0.000	1.000	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.000	1.000	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.000	1.000	0.000
rs409220 lBF = `0.0553879` Chr`5` : `143,422,945`	0.000	1.000	0.000
rs180834883 lBF = `0.00356903` Chr`5` : `43,465,143`	0.000	1.000	0.000
rs115426610 lBF = `0.00329779` Chr`5` : `43,568,117`	0.000	1.000	0.000
rs78646877 lBF = `0.00329779` Chr`5` : `43,569,902`	0.000	1.000	0.000
rs141238427 lBF = `0.00329779` Chr`5` : `43,567,592`	0.000	1.000	0.000
rs115252650 lBF = `0.00299349` Chr`5` : `43,470,660`	0.000	1.000	0.000
rs76881288 lBF = `0.00299349` Chr`5` : `43,488,436`	0.000	1.000	0.000
rs146735629 lBF = `0.00299349` Chr`5` : `43,491,939`	0.000	1.000	0.000
rs76640434 lBF = `0.00299349` Chr`5` : `43,435,743`	0.000	1.000	0.000
rs76677587 lBF = `0.00154839` Chr`5` : `43,483,284`	0.000	1.000	0.000
rs76396004 lBF = `0.00154839` Chr`5` : `43,524,559`	0.000	1.000	0.000
rs6594713 lBF = `-0.0678141` Chr`5` : `112,715,374`	0.000	1.000	0.000
rs37369 lBF = `-0.0685245` Chr`5` : `35,037,115`	0.000	1.000	0.000
rs11750568 lBF = `-0.0753975` Chr`5` : `178,535,713`	0.000	1.000	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.000	1.000	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.000	1.000	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.000	1.000	0.000
rs186292051 lBF = `0.010775` Chr`5` : `88,325,830`	0.000	1.000	0.000
rs11743355 lBF = `-0.00830395` Chr`5` : `34,266,577`	0.000	1.000	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.000	1.000	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.000	1.000	0.000
rs3805663 lBF = `-0.0249202` Chr`5` : `134,366,200`	0.000	1.000	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.000	1.000	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.000	1.000	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.000	1.000	0.000
rs10065350 lBF = `0.00000982` Chr`5` : `58,082,723`	0.000	1.000	0.000
rs7735699 lBF = `-0.0192071` Chr`5` : `79,099,464`	0.000	1.000	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.000	1.000	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.000	1.000	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.000	1.000	0.000
rs115375165 lBF = `0.0399658` Chr`5` : `127,802,655`	0.000	1.000	0.000
rs17108911 lBF = `-0.0250134` Chr`5` : `148,283,322`	0.000	1.000	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.000	1.000	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.000	1.000	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.000	1.000	0.000
rs17421627 lBF = `0.333893` Chr`5` : `87,847,586`	0.000	1.000	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.000	1.000	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.000	1.000	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.000	1.000	0.000
rs1422438 lBF = `-0.0735678` Chr`5` : `107,111,176`	0.000	1.000	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.000	1.000	0.000
rs76768179 lBF = `0.00263502` Chr`5` : `73,687,286`	0.000	1.000	0.000
rs1500251 lBF = `-0.0766476` Chr`5` : `98,593,453`	0.000	1.000	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.000	1.000	0.000
rs150934526 lBF = `-0.0068808` Chr`5` : `120,666,323`	0.000	1.000	0.000
rs460626 lBF = `-0.0121966` Chr`5` : `154,437,261`	0.000	1.000	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.000	1.000	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.000	1.000	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.000	1.000	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.000	1.000	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.000	1.000	0.000
rs62379838 lBF = `1.72265` Chr`5` : `120,102,028`	0.000	1.000	0.000
rs6894797 lBF = `0.156082` Chr`5` : `105,419,513`	0.000	1.000	0.000
rs4703129 lBF = `0.111791` Chr`5` : `97,888,736`	0.000	1.000	0.000
rs267759 lBF = `0.0864647` Chr`5` : `36,137,620`	0.000	1.000	0.000
rs138206701 lBF = `0.0461341` Chr`5` : `80,406,566`	0.000	1.000	0.000
rs17570583 lBF = `0.01684` Chr`5` : `171,559,531`	0.000	1.000	0.000
rs1895320 lBF = `-0.00503794` Chr`5` : `159,849,586`	0.000	1.000	0.000
rs696888 lBF = `-0.0439554` Chr`5` : `60,898,157`	0.000	1.000	0.000
rs17763373 lBF = `-0.0531844` Chr`5` : `173,359,331`	0.000	1.000	0.000
rs11745512 lBF = `-0.0664797` Chr`5` : `164,055,678`	0.000	1.000	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.000	1.000	0.000
rs11745587 lBF = `7.29696` Chr`5` : `131,796,922`	0.000	1.000	0.000
rs1584468 lBF = `0.473414` Chr`5` : `119,937,691`	0.000	1.000	0.000
rs10053502 lBF = `0.180691` Chr`5` : `39,979,172`	0.000	1.000	0.000
rs180824717 lBF = `0.135366` Chr`5` : `146,456,873`	0.000	1.000	0.000
rs6596140 lBF = `0.0269587` Chr`5` : `133,021,851`	0.000	1.000	0.000
rs7714584 lBF = `0.0239452` Chr`5` : `150,270,420`	0.000	1.000	0.000
rs2122554 lBF = `-0.00974014` Chr`5` : `165,957,086`	0.000	1.000	0.000
rs17176973 lBF = `-0.0131752` Chr`5` : `10,811,474`	0.000	1.000	0.000
rs1106693 lBF = `-0.0366981` Chr`5` : `173,352,763`	0.000	1.000	0.000
rs4702982 lBF = `-0.0380925` Chr`5` : `99,991,648`	0.000	1.000	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.000	1.000	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.000	1.000	0.000
rs7722186 lBF = `6.47923` Chr`5` : `74,576,285`	0.000	1.000	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.000	1.000	0.000
rs142432846 lBF = `0.0159399` Chr`5` : `155,655,407`	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 X0054

log Bayes Factor = 197.338

contains 9 variants

1.0000

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 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`)