TreeWAS – [R21] Rash and other nonspecific skin eruption

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
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.940	0.060	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.932	0.068	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.927	0.073	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.926	0.074	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.911	0.089	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.875	0.125	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.861	0.139	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.814	0.186	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.797	0.203	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.791	0.209	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.769	0.231	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.743	0.257	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.731	0.269	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.692	0.308	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.656	0.344	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.616	0.384	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.616	0.384	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.588	0.412	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.567	0.433	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.549	0.451	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.543	0.457	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.528	0.472	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.526	0.474	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.522	0.478	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.491	0.509	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.470	0.530	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.453	0.547	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.449	0.551	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.449	0.551	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.441	0.559	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.435	0.565	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.434	0.566	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.433	0.567	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.430	0.570	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.423	0.577	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.421	0.579	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.419	0.581	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.417	0.583	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.396	0.604	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.385	0.614	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.382	0.618	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.377	0.623	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.624	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.375	0.624	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.371	0.628	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.353	0.647	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.349	0.651	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.343	0.657	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.327	0.673	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.302	0.698	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.290	0.710	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.285	0.715	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.280	0.720	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.280	0.720	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.274	0.726	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.271	0.729	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.268	0.731	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.230	0.770	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.225	0.775	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.184	0.816	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.181	0.819	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.157	0.843	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.119	0.881	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.119	0.881	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.118	0.882	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.117	0.883	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.117	0.883	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.107	0.893	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.105	0.895	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.089	0.911	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.085	0.915	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.082	0.918	0.001
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.081	0.919	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.076	0.924	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.070	0.930	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.068	0.930	0.002
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.069	0.931	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.065	0.935	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.065	0.935	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.064	0.935	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.059	0.941	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.057	0.943	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.054	0.946	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.042	0.958	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.959	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.039	0.961	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.038	0.962	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.037	0.962	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.031	0.969	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.031	0.969	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.029	0.970	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.028	0.971	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.028	0.972	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.025	0.974	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.021	0.979	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.020	0.980	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.018	0.982	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.015	0.985	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.014	0.986	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.014	0.986	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	0.987	0.013
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.987	0.013
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.012	0.988	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.010	0.989	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.011	0.989	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.010	0.990	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	0.990	0.010
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.008	0.992	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.007	0.993	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.007	0.993	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.007	0.993	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.006	0.994	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.994	0.006
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.994	0.006
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.005	0.995	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.005	0.995	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.004	0.995	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.996	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.004	0.996	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.004	0.996	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.003	0.997	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.997	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.997	0.003
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.003	0.997	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.003	0.997	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.003	0.997	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	0.998	0.002
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.002	0.998	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.002	0.998	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.002	0.998	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.000	0.998	0.002
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.002	0.998	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.998	0.002
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.000	0.998	0.002
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.002	0.998	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	0.998	0.002
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.002	0.998	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.001	0.998	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.001	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.001	0.999	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.001	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.001	0.999	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.001	0.999	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.001	0.999	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.001	0.999	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.001	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.999	0.001
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	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
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	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
rs8038108 lBF = `0` Chr`15` : `90,089,276`	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
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
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rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	1.000	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs2624265 lBF = `-0.0584597` Chr`15` : `39,148,649`	0.000	1.000	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	1.000	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs1436953 lBF = `-0.114458` Chr`15` : `62,414,014`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs7182874 lBF = `0.0441147` Chr`15` : `101,865,472`	0.000	1.000	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	1.000	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	1.000	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	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

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

0.8877

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2257

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1153

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9973

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9953

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9930

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9919

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9837

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9780

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9761

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9668

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9659

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9651

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9645

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9640

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9368

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9343

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9254

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9195

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9132

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8957

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8326

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8053

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8003

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7879

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7742

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7653

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7607

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7301

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7201

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6636

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6403

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5676

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5326

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4513

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4384

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4321

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3985

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3932

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3825

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3713

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3646

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3451

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3396

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3284

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3224

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3038

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2695

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2466

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2311

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2012

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1970

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1815

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1756

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1709

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1597

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1473

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1407

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1316

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1238

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1203

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1179

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1103

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1095

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1079

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1053

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0980

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0938

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0806

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0801

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0784

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0760

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0717

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0686

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0632

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0610

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0599

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0581

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0576

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0526

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0520

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0512

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`)