TreeWAS – [N88] Other noninflammatory disorders of cervix uteri

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`	0.914	0.086	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.828	0.172	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.820	0.180	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.807	0.193	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.762	0.238	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.723	0.277	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.702	0.298	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.697	0.303	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.670	0.330	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.658	0.342	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.655	0.345	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.618	0.382	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.597	0.403	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.594	0.405	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.581	0.419	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.581	0.419	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.573	0.426	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.566	0.434	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.557	0.443	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.554	0.446	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.544	0.456	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.531	0.469	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.458	0.542	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.406	0.594	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.377	0.622	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.361	0.639	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.288	0.712	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.287	0.713	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.275	0.725	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.252	0.748	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.245	0.755	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.224	0.776	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.206	0.794	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`	0.155	0.845	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.153	0.847	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.153	0.847	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.152	0.848	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.151	0.849	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.126	0.874	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.120	0.880	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.118	0.882	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.112	0.888	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.108	0.892	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
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.101	0.898	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.098	0.902	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.084	0.916	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.079	0.921	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.072	0.928	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.071	0.928	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.058	0.942	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.044	0.955	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.030	0.958	0.011
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.040	0.960	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.037	0.962	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.033	0.967	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.032	0.968	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.031	0.969	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.026	0.974	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.024	0.976	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.023	0.977	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.023	0.977	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.016	0.984	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.015	0.985	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.013	0.987	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.013	0.987	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.013	0.987	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.013	0.987	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.012	0.988	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.011	0.989	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.011	0.989	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.010	0.989	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.010	0.990	0.001
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.991	0.009
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.007	0.992	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.007	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.006	0.994	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.005	0.994	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.006	0.994	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.005	0.995	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.005	0.995	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.005	0.995	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.005	0.995	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.005	0.995	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.005	0.995	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.004	0.995	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	0.996	0.004
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.004	0.996	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	0.996	0.004
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.004	0.996	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.004	0.996	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.004	0.996	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.003	0.997	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	0.997	0.003
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.003	0.997	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	0.997	0.003
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.003	0.997	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.003	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.003	0.997	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.997	0.003
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.002	0.998	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.001	0.998	0.002
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.998	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.002	0.998	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.002	0.998	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.002	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.998	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.001	0.998	0.001
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	0.998	0.002
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.002	0.998	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.002	0.998	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	0.998	0.002
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.001	0.999	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.001	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.999	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.001	0.999	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.001	0.999	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	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
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.999	0.001
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.001	0.999	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.001	0.999	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.001	0.999	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	0.999	0.001
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.001	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.001	0.999	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.001	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.001	0.999	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.001	0.999	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.001	0.999	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.001	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.001
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
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.001
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.001	0.999	0.000
rs2716601 lBF = `-0.110811` Chr`16` : `74,076,252`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	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
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
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
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	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
rs142313660 lBF = `0` Chr`16` : `81,370,140`	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
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
rs28497028 lBF = `0` Chr`16` : `81,372,590`	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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
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rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.000	1.000	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.000	1.000	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.000	1.000	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	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
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	1.000	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.000	1.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	1.000	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	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
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	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

0.0544

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9846

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9835

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9776

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9136

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9113

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9053

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8924

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8745

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8557

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8458

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8430

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8166

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7700

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7490

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7235

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6234

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5976

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5841

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5704

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5703

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5378

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5232

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5180

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4462

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4425

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4334

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4312

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4170

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4113

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3670

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3615

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3495

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3479

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2773

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2715

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2567

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2546

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2438

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2424

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2365

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2211

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2104

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2083

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1554

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1351

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1294

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1102

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0565

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0516

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	N80-N98 Noninflammatory disorders of female genital tract
Nested terms	N88.0 Leukoplakia of cervix uteri N88.1 Old laceration of cervix uteri N88.2 Stricture and stenosis of cervix uteri N88.3 Incompetence of cervix uteri N88.4 Hypertrophic elongation of cervix uteri N88.8 Other specified noninflammatory disorders of cervix uteri N88.9 Noninflammatory disorder of cervix uteri, 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`)