TreeWAS – [K59.4] Anal spasm

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
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.756	0.244	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.634	0.366	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.609	0.391	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.568	0.432	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.520	0.480	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.519	0.481	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.511	0.489	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.488	0.511	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.398	0.602	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.372	0.628	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.370	0.630	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.357	0.643	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.350	0.650	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.307	0.693	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.298	0.702	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.289	0.711	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.274	0.726	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.262	0.738	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.230	0.770	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.173	0.826	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.172	0.828	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.167	0.833	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.158	0.842	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.157	0.843	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.147	0.849	0.004
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.141	0.859	0.001
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.132	0.868	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.126	0.874	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.122	0.878	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.118	0.881	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.117	0.883	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.112	0.887	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.111	0.889	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.110	0.890	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.108	0.891	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.101	0.899	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.098	0.902	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.083	0.916	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.083	0.917	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.077	0.923	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.070	0.930	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.068	0.932	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.063	0.937	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.060	0.940	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.052	0.948	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.051	0.949	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.050	0.950	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.047	0.953	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.046	0.954	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.044	0.956	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.043	0.957	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.040	0.959	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.036	0.964	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.036	0.964	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.033	0.967	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.026	0.974	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.023	0.977	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.022	0.978	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.022	0.978	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.020	0.979	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.020	0.980	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.019	0.980	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.018	0.982	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.018	0.982	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.018	0.982	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.017	0.983	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.017	0.983	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.016	0.984	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.016	0.984	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.016	0.984	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.015	0.985	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.014	0.986	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.014	0.986	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.013	0.987	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.013	0.987	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.013	0.987	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.012	0.988	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.012	0.988	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.012	0.988	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.011	0.988	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.011	0.989	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.011	0.989	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.011	0.989	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.010	0.990	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.009	0.991	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.009	0.991	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.008	0.992	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.008	0.992	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.008	0.992	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.008	0.992	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.993	0.007
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.006	0.994	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.005	0.995	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.005	0.995	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.004	0.996	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.004	0.996	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.004	0.996	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.003	0.996	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.003	0.996	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.996	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.003	0.997	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.003	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.002	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.002	0.997	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.002	0.997	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.998	0.002
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.998	0.001
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.998	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.002	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.002	0.998	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.002	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.001	0.998	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	0.999	0.001
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.001	0.999	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.001	0.999	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.001	0.999	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	0.999	0.001
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	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
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	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
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
rs186108482 lBF = `0` Chr`16` : `13,859,191`	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
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
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
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
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
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.001	0.999	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	0.999	0.001
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.001	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.001	0.999	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.999	0.001
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	0.999	0.001
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	0.999	0.001
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rs2240255 lBF = `-0.0360385` Chr`16` : `74,772,798`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs3784962 lBF = `-0.11486` Chr`16` : `83,757,328`	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
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	1.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	1.000	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs6500395 lBF = `-0.0176278` Chr`16` : `48,621,402`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	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
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.9155

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8535

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8527

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8434

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8425

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8326

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8305

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7969

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7903

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7864

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7827

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7539

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7396

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7293

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7162

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7160

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7151

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7139

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7079

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7017

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7001

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6977

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6967

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6959

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6946

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6932

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6924

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6817

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6782

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6762

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6747

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6620

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6600

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6597

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6537

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6517

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6236

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6148

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5855

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5753

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5685

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5639

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5598

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5469

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5432

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5316

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4972

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4828

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4719

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4605

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4554

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4248

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4234

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4218

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4151

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4024

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3915

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3142

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2798

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2656

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2468

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1889

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1643

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1370

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1354

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1249

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1222

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1202

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1175

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1078

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1058

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1026

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0932

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0737

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0719

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0713

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0680

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0542

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)