TreeWAS – [N42.1] Congestion and haemorrhage of prostate

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
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.682	0.318	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.664	0.336	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.659	0.341	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.622	0.378	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.618	0.382	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.559	0.441	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.533	0.467	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.507	0.493	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.501	0.499	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.498	0.502	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.488	0.512	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.462	0.538	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.455	0.545	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.440	0.560	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.424	0.576	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.411	0.588	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.399	0.600	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.369	0.631	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.352	0.648	0.001
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.337	0.662	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.336	0.664	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.323	0.676	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.317	0.683	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.317	0.683	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.310	0.690	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.304	0.696	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.303	0.697	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.290	0.710	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.270	0.730	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.261	0.739	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.249	0.751	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.248	0.752	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.241	0.758	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.237	0.763	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.224	0.776	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.220	0.780	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.218	0.782	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.207	0.793	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.204	0.796	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.201	0.798	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.197	0.803	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.190	0.810	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.184	0.815	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.171	0.829	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.159	0.841	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.154	0.846	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.153	0.846	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.150	0.849	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.142	0.858	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.141	0.859	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.139	0.861	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.135	0.865	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.102	0.897	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.093	0.905	0.002
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.091	0.909	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.089	0.911	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.079	0.920	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.920	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.076	0.924	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.068	0.931	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.066	0.934	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.060	0.939	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.060	0.940	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.058	0.941	0.001
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.059	0.941	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.056	0.944	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.055	0.945	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.046	0.954	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.043	0.956	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.042	0.958	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.036	0.964	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.034	0.966	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.034	0.966	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.033	0.967	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.031	0.969	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.030	0.970	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.027	0.973	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.026	0.973	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.025	0.975	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.025	0.975	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.025	0.975	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.024	0.976	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.019	0.981	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.018	0.981	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.018	0.982	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.018	0.982	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.018	0.982	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.017	0.982	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.017	0.982	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.017	0.983	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.017	0.983	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.016	0.983	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.016	0.984	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.013	0.986	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.013	0.987	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.011	0.988	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.010	0.989	0.001
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.992	0.007
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.007	0.993	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.007	0.993	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.007	0.993	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.007	0.993	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.007	0.993	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.007	0.993	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.006	0.994	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.994	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.006	0.994	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.005	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.995	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.005	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	0.996	0.004
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.004	0.996	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.996	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.000	0.996	0.004
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.004	0.996	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.004	0.996	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	0.997	0.003
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.003	0.997	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.003	0.997	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.003
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.002	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	0.998	0.002
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.002	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.002	0.998	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.002	0.998	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	0.998	0.002
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.002	0.998	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.002	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.998	0.000
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.002	0.998	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	0.998	0.002
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.002	0.998	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.001	0.998	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.001	0.999	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	0.999	0.001
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.001
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.001	0.999	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.999	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	0.999	0.001
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.001	0.999	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.001
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.999	0.001
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.001	0.999	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	0.999	0.001
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.001	0.999	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.001	0.999	0.000
rs8040855 lBF = `-0.108369` Chr`15` : `85,699,207`	0.000	0.999	0.001
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
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	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
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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
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rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.000	1.000	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.000	1.000	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	1.000	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	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
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	1.000	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.000	1.000	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	1.000	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.000	1.000	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.000	1.000	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	1.000	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	1.000	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	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

0.9039

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.5252

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2984

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1231

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.0944

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9928

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9890

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.9839

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9622

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9545

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9083

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9043

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8783

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8635

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8460

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8167

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7893

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7892

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7839

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7760

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7714

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7533

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7266

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7251

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6892

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6879

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6841

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6823

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6715

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6663

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6553

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6468

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6455

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6385

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6263

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6206

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6181

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6045

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5984

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5807

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5552

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5359

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5089

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4935

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4898

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4835

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4719

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4248

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4164

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3894

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3757

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3462

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3426

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3348

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3166

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3157

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3141

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2855

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2735

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2640

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2086

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2011

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1882

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1815

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1787

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1772

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1732

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1699

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1669

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1599

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1514

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1494

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1465

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1441

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1337

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1244

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1138

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1125

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1099

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1082

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0997

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0922

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0912

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0855

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0843

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0807

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0722

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0714

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0574

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0570

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0532

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`)