TreeWAS – [Z51.6] Desensitisation to allergens

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`	0.717	0.283	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.717	0.283	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.717	0.283	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.716	0.284	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.713	0.287	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.708	0.292	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.707	0.293	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.698	0.302	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.698	0.302	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.692	0.308	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.683	0.317	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.673	0.327	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.669	0.331	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.632	0.368	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.628	0.372	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.623	0.376	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.609	0.391	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.608	0.392	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.590	0.409	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.589	0.411	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.581	0.419	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.575	0.425	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.543	0.457	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.532	0.468	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.498	0.502	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.490	0.510	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.459	0.541	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.414	0.586	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.414	0.586	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.403	0.597	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.378	0.622	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.356	0.644	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.352	0.648	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.288	0.712	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.282	0.718	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.255	0.744	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.229	0.771	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.216	0.784	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.199	0.801	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.182	0.818	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.171	0.829	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.155	0.845	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.151	0.849	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.130	0.870	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.121	0.879	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.109	0.891	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.088	0.912	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.087	0.912	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.083	0.917	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.921	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.072	0.928	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.071	0.929	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.064	0.936	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.064	0.936	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.060	0.940	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.059	0.941	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.058	0.942	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.055	0.945	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.053	0.947	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.047	0.953	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.046	0.954	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.042	0.958	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.039	0.961	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.038	0.961	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.037	0.963	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.034	0.966	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.031	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.029	0.971	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.025	0.975	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.024	0.976	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.024	0.976	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.023	0.977	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.022	0.977	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.020	0.980	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.013	0.986	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.012	0.988	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.011	0.989	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.011	0.989	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.010	0.990	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.008	0.992	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.007	0.992	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.006	0.994	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.006	0.994	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.006	0.994	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.004	0.996	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.004	0.996	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.004	0.996	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.004	0.996	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.004	0.996	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.004	0.996	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.003	0.997	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.003	0.997	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.003	0.997	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.002	0.998	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.002	0.998	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.002	0.998	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.002	0.998	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.998	0.002
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.001	0.999	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.001	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	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
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.001	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	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
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
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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
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
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.001
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.001	0.999	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.001	0.999	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.001	0.999	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.001	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	0.999	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	0.999	0.001
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.001	0.999	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.000	0.999	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.001	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.001	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	0.999	0.000
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rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	1.000	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	1.000	0.000
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	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
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.000	1.000	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	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
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.000	1.000	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	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
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	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
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	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
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	1.000	0.000
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	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

0.7150

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6183

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8661

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8437

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8385

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8058

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7987

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7616

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7600

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7385

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7168

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7167

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7166

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7165

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7164

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7159

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7143

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7125

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7123

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7105

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7095

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7055

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7046

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6885

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6588

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6540

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6447

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6139

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6029

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.5976

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5677

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5599

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5597

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5280

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5139

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4961

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4728

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4568

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4473

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4381

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2827

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2777

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2708

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2551

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1439

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1413

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1348

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1062

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1020

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0908

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0808

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0778

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0747

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0702

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0700

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0590

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0524

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0502

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`)