TreeWAS – [Z90.6] Acquired absence of other parts of urinary tract

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
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.811	0.189	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.772	0.228	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.760	0.239	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.751	0.249	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.731	0.269	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.723	0.277	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.664	0.336	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.664	0.336	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.657	0.343	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.648	0.352	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.629	0.370	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.616	0.383	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.612	0.387	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.599	0.401	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.598	0.402	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.590	0.410	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.563	0.437	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.552	0.447	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.545	0.455	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.545	0.455	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.541	0.459	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.534	0.466	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.531	0.469	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.523	0.477	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.516	0.484	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.511	0.489	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.445	0.555	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.431	0.569	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.420	0.579	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.604	0.396
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.387	0.612	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.387	0.613	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.371	0.628	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.372	0.628	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.367	0.633	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.354	0.646	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.320	0.680	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.313	0.687	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.311	0.688	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.306	0.694	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.295	0.705	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.263	0.737	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.262	0.738	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.255	0.745	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.252	0.747	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.237	0.763	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.227	0.773	0.001
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.186	0.814	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.148	0.851	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.139	0.860	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.121	0.879	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.120	0.880	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.107	0.893	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.104	0.896	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.090	0.909	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.089	0.911	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.085	0.914	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.085	0.915	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.077	0.923	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.074	0.926	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.065	0.935	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.064	0.936	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.063	0.937	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.054	0.946	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.952	0.048
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.044	0.956	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.042	0.958	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.042	0.958	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.040	0.960	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.039	0.961	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.038	0.962	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.036	0.964	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.036	0.964	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.035	0.964	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.033	0.967	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.029	0.971	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.023	0.977	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.022	0.978	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.016	0.984	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.015	0.985	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.015	0.985	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.015	0.985	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.013	0.987	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.012	0.988	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	0.989	0.011
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.011	0.989	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.010	0.990	0.000
rs11549837 lBF = `7.58732` Chr`16` : `88,779,739`	0.000	0.990	0.010
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.009	0.990	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.991	0.009
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.008	0.992	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.008	0.992	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.007	0.993	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	0.993	0.007
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.006	0.994	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	0.995	0.005
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	0.995	0.005
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.003	0.996	0.001
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.004	0.996	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	0.996	0.004
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	0.996	0.004
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.003	0.997	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	0.997	0.003
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.997	0.003
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.997	0.003
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	0.997	0.003
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.000
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.002	0.998	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	0.998	0.002
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	0.998	0.002
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.998	0.002
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.998	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.998	0.002
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.998	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	0.998	0.002
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.002	0.998	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.002	0.998	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	0.998	0.002
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.998	0.002
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	0.998	0.001
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	0.999	0.001
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.000	0.999	0.001
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	0.999	0.001
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	0.999	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.999	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	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
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.999	0.001
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.999	0.001
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.001	0.999	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.999	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.001	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.999	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.001	0.999	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	0.999	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
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
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
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rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	1.000	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.000	1.000	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.000	1.000	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.000	1.000	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7621

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3960

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9992

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9991

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9829

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9803

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9800

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9791

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9694

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9639

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9629

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9604

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9540

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9308

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9257

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9124

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9089

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9077

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9062

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9053

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9036

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8840

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8824

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8722

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8718

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8584

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8543

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8520

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8424

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7861

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7852

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7727

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7720

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7691

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7496

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7363

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7295

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7258

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7217

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7030

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6939

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6654

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6653

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6505

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6448

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6372

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6005

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5941

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5583

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5395

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4660

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4507

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4435

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4337

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4149

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4104

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3843

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3570

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3417

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3254

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3214

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2630

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2587

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2512

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2302

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2211

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2201

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2077

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1790

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1757

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1752

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1709

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1565

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1452

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1386

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1261

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1227

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1081

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0968

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0887

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0842

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0694

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0618

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0582

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0542

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0533

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0510

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`)