TreeWAS – [K64.9] Haemorrhoids, unspecified

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`	0.514	0.486	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.514	0.486	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.506	0.494	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.501	0.498	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.499	0.501	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.492	0.507	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.488	0.512	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.454	0.546	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.445	0.555	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.444	0.555	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.416	0.584	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.352	0.648	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.328	0.671	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.326	0.674	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.284	0.716	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.252	0.748	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.251	0.749	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.243	0.757	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.242	0.758	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.236	0.763	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.218	0.781	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.213	0.786	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.180	0.819	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.173	0.827	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.163	0.837	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.155	0.845	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.151	0.849	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.143	0.857	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.137	0.863	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.132	0.867	0.001
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.131	0.868	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.131	0.869	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.129	0.871	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.121	0.878	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.116	0.883	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.109	0.891	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.106	0.894	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.105	0.895	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.095	0.905	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.090	0.910	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.085	0.915	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.082	0.917	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.081	0.919	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.065	0.935	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.061	0.939	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.060	0.939	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.058	0.942	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.056	0.944	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.048	0.952	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.046	0.954	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.041	0.958	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.039	0.961	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.038	0.962	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.037	0.962	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.035	0.964	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.031	0.968	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.029	0.971	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.028	0.971	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.028	0.972	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.025	0.975	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.025	0.975	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.024	0.976	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.023	0.977	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.022	0.977	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.022	0.977	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.021	0.979	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.020	0.979	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.020	0.980	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.019	0.981	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.019	0.981	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.018	0.981	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.018	0.982	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.017	0.983	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.017	0.983	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.017	0.983	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.016	0.984	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.015	0.985	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.014	0.986	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.014	0.986	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.013	0.987	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.012	0.987	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.012	0.988	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.012	0.988	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.011	0.988	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.011	0.989	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.011	0.989	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.009	0.991	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.009	0.991	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.008	0.991	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.008	0.992	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.008	0.992	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.994	0.006
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.005	0.994	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.005	0.994	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.005	0.995	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.005	0.995	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.004	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	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`	0.004	0.996	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.004	0.996	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.004	0.996	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.004	0.996	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.996	0.003
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.003	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.997	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.997	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.998	0.002
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.002	0.998	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.002	0.998	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.002	0.998	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.002	0.998	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.002	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.002	0.998	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.002	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.002	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.001	0.998	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.998	0.001
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	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
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	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
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	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
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
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
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
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.001	0.999	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.001	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.001
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.001
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.001	0.999	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.001	0.999	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.000	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.001	0.999	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.001	0.999	0.000
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rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	1.000	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	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
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	1.000	0.000
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.000	1.000	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	1.000	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.000	1.000	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.000	1.000	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	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
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	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
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	1.000	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	1.000	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	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 X0055

log Bayes Factor = 274.911

contains 10 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5140

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5140

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5140

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5139

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5139

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5139

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5139

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5139

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5138

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5138

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5134

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5134

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5131

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5127

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5118

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5116

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5109

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5108

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5105

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5087

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5082

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5035

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5034

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5006

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5005

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5002

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4974

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4952

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4951

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4944

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4940

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4920

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4879

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4815

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4767

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4764

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4749

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4747

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4661

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3920

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3889

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3882

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3871

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3657

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3536

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3514

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3500

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3304

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3294

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3161

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3102

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2771

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2506

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1594

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1542

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1441

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1336

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1189

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1176

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1142

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1080

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1075

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0726

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0722

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0718

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0641

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`)