TreeWAS – [K57.5] Diverticular disease of both small and large intestine without perforation or abscess

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
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.815	0.185	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.707	0.293	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.693	0.307	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.643	0.357	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.634	0.366	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.608	0.392	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.545	0.454	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.524	0.475	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.442	0.558	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.441	0.559	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.426	0.574	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.395	0.605	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.368	0.632	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.349	0.651	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.348	0.652	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.343	0.657	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.341	0.658	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.327	0.672	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.321	0.679	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.296	0.704	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.263	0.737	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.258	0.742	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.234	0.766	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.231	0.768	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.223	0.777	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.219	0.781	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.169	0.831	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.165	0.835	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.160	0.840	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.156	0.844	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.153	0.847	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.151	0.849	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.144	0.856	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.139	0.860	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.135	0.864	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.133	0.866	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.130	0.870	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.130	0.870	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	0.874	0.126
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.110	0.890	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.105	0.894	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.103	0.897	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.097	0.903	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.096	0.903	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.082	0.918	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.078	0.922	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.077	0.923	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.073	0.927	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.071	0.928	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.064	0.936	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.063	0.937	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.058	0.942	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.050	0.950	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.049	0.951	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.044	0.956	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.041	0.959	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.040	0.960	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.037	0.963	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.030	0.970	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.028	0.972	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.027	0.973	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.025	0.975	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.025	0.975	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.023	0.977	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.020	0.979	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.019	0.981	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	0.982	0.018
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.016	0.984	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.016	0.984	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.012
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.011	0.989	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.011	0.989	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.010	0.989	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.010	0.990	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.010	0.990	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.990	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.000	0.991	0.009
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.009	0.991	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.007	0.992	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.007	0.993	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.002	0.994	0.004
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.006	0.994	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.006	0.994	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.005	0.995	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.005	0.995	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.005	0.995	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.005	0.995	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.004	0.995	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.004	0.996	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.004	0.996	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.004	0.996	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.003	0.997	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.003	0.997	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	0.997	0.003
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.002	0.997	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.003	0.997	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.003	0.997	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.002	0.998	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.998	0.002
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.002	0.998	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.001	0.998	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.001	0.999	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.001	0.999	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.001	0.999	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.001	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.001	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.001	0.999	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	0.999	0.001
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.999	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.000	0.999	0.001
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.001
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.001	0.999	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.001	0.999	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.001	0.999	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.001	0.999	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	0.999	0.001
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	0.999	0.001
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	0.999	0.001
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.000	0.999	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.001	0.999	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	0.999	0.001
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	0.999	0.001
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	0.999	0.001
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	0.999	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
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rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.000	1.000	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.000	1.000	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	1.000	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.000	1.000	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	1.000	0.000
rs11070747 lBF = `-0.0533145` Chr`15` : `50,376,439`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	1.000	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.000	1.000	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.000	1.000	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	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 X0321

log Bayes Factor = 162.562

contains 1 variants

0.6420

Cluster X0313

log Bayes Factor = 43.6275

contains 4 variants

0.3908

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0168

log Bayes Factor = 118.571

contains 7 variants

0.9186

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8397

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.8153

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7618

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7576

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7167

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7167

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7165

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7132

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7059

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6921

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6897

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6614

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6097

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6001

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5966

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5844

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5767

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5404

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4539

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4376

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3929

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3871

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3846

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3642

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3430

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3424

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3263

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3135

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3027

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2935

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2623

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2443

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2432

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2293

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2064

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1934

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1680

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1641

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1613

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1604

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1599

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1514

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1510

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1489

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1483

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1465

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1457

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1367

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1276

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1248

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1227

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1205

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0997

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0899

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0865

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0851

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0835

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0784

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0722

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0637

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0546

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0525

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`)