TreeWAS – [Z46.6] Fitting and adjustment of urinary device

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
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.973	0.027	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.829	0.171	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.735	0.265	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.698	0.302	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.695	0.305	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.682	0.318	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.570	0.429	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.563	0.437	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.549	0.451	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.539	0.461	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.518	0.482	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.441	0.559	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.433	0.567	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.425	0.575	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.413	0.587	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.407	0.593	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.393	0.607	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.388	0.612	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.387	0.613	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.379	0.621	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.358	0.642	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.342	0.658	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.339	0.661	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.321	0.679	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.295	0.705	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.289	0.711	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.269	0.731	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.253	0.747	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.253	0.747	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.252	0.747	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.242	0.758	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.224	0.776	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.217	0.783	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.214	0.785	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.205	0.795	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.195	0.805	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.188	0.811	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.184	0.816	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.178	0.822	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.168	0.832	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.153	0.847	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.148	0.851	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.148	0.852	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.145	0.855	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.135	0.865	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.131	0.869	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.126	0.873	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.125	0.875	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.110	0.889	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.109	0.891	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.105	0.895	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.092	0.907	0.001
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.092	0.908	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.082	0.918	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.921	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.077	0.923	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.076	0.924	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.071	0.929	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.070	0.930	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.065	0.935	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.065	0.935	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.061	0.938	0.001
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.061	0.938	0.001
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.061	0.939	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.054	0.946	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.020	0.949	0.032
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.049	0.951	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.043	0.956	0.001
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.042	0.958	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.040	0.960	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.040	0.960	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.039	0.961	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.030	0.969	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.029	0.971	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.029	0.971	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.029	0.971	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.027	0.971	0.002
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.027	0.973	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.026	0.974	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.022	0.978	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.020	0.980	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.019	0.980	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.019	0.981	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.019	0.981	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.019	0.981	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.018	0.982	0.001
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.018	0.982	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.018	0.982	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.017	0.983	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.013	0.987	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.013	0.987	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.012	0.988	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.011	0.989	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.011	0.989	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.010	0.989	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.007	0.992	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.008	0.992	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.008	0.992	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.006	0.994	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.006	0.994	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.005	0.995	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.005	0.995	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.005	0.995	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.004	0.996	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.004	0.996	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.004	0.996	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.004	0.996	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.004	0.996	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.004	0.996	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.996	0.004
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.004	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.003	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.003	0.997	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.003	0.997	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.000	0.998	0.002
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.002	0.998	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.998	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.998	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.000	0.998	0.002
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.001	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	0.999	0.001
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.001	0.999	0.001
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
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
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
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
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
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	0.999	0.001
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.001	0.999	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.001	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.001
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rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	1.000	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	1.000	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	1.000	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	1.000	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	1.000	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	1.000	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.000	1.000	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.000	1.000	0.000
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	1.000	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.9705

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.9239

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8789

Cluster X0316

log Bayes Factor = 72.3178

contains 4 variants

0.8177

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.4217

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0311

log Bayes Factor = 92.5358

contains 5 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9911

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9902

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9857

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9610

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9589

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9528

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9105

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8975

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8952

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8691

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8262

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7081

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6684

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6156

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6035

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3596

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3524

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3346

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3126

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2829

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1748

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1661

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1606

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1537

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0787

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0747

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0620

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0602

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`)