TreeWAS – [R60.9] Oedema, unspecified

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
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.761	0.239	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.744	0.256	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.664	0.336	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.634	0.366	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.625	0.374	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.605	0.395	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.599	0.401	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.556	0.444	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.544	0.456	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.531	0.469	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.499	0.501	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.493	0.507	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.480	0.520	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.475	0.524	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.462	0.538	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.448	0.552	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.446	0.554	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.433	0.567	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.414	0.586	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.409	0.591	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.397	0.603	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.390	0.610	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.381	0.619	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.370	0.630	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.347	0.653	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.336	0.664	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.309	0.691	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.288	0.711	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.282	0.718	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.261	0.739	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.244	0.756	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.244	0.756	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.224	0.776	0.001
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.217	0.783	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.214	0.786	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.203	0.797	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.199	0.801	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.187	0.813	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.176	0.824	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.168	0.832	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.165	0.835	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.161	0.839	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.153	0.847	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.149	0.851	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.121	0.879	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.119	0.881	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.113	0.887	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.111	0.889	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.106	0.894	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.105	0.895	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.103	0.897	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.091	0.909	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.087	0.912	0.001
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.084	0.916	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.077	0.923	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.075	0.925	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.069	0.931	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.064	0.936	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.064	0.936	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.052	0.948	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.049	0.951	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.039	0.961	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.036	0.963	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.036	0.964	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.035	0.965	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.031	0.968	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.029	0.971	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.028	0.972	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.023	0.977	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.021	0.979	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.017	0.982	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.017	0.983	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.016	0.984	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.016	0.984	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.012	0.988	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.011	0.988	0.001
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.010	0.990	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.010	0.990	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.009	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.007	0.993	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.007	0.993	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	0.994	0.006
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	0.995	0.005
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.005	0.995	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.004	0.995	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.995	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.996	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.004	0.996	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.004	0.996	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.004	0.996	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.004	0.996	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	0.996	0.004
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	0.997	0.003
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	0.997	0.003
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.003	0.997	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.003	0.997	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.002	0.997	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.003	0.997	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.003	0.997	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.002	0.998	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	0.998	0.002
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	0.998	0.002
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.002	0.998	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	0.998	0.002
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.001	0.998	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	0.998	0.002
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.998	0.002
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.998	0.002
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.998	0.002
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs2401171 lBF = `-0.0455262` Chr`15` : `84,557,676`	0.002	0.998	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	0.998	0.002
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.002	0.998	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.999	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	0.999	0.001
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.999	0.001
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.999	0.001
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.999	0.001
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	0.999	0.001
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	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
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs11259936 lBF = `-0.112077` Chr`15` : `84,580,582`	0.001	0.999	0.000
rs4842838 lBF = `-0.110493` Chr`15` : `84,582,124`	0.001	0.999	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.001	0.999	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.999	0.001
rs8030379 lBF = `-0.111817` Chr`15` : `84,590,910`	0.001	0.999	0.000
rs11259933 lBF = `-0.112845` Chr`15` : `84,580,156`	0.001	0.999	0.000
rs7183263 lBF = `-0.113154` Chr`15` : `84,573,041`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.001
rs10906982 lBF = `-0.111832` Chr`15` : `84,568,158`	0.001	0.999	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.001	0.999	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.999	0.001
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.001	0.999	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	0.999	0.001
rs12910412 lBF = `-0.118647` Chr`15` : `94,707,073`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.001	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	0.999	0.001
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	0.999	0.001
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.001	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	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
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	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
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
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
rs147415896 lBF = `0` Chr`15` : `92,626,515`	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
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rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	1.000	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	1.000	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	1.000	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	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
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	1.000	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	1.000	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.000	1.000	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	1.000	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	1.000	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	1.000	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	1.000	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	1.000	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	1.000	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	1.000	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	1.000	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	1.000	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	1.000	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	1.000	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	1.000	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	1.000	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	1.000	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	1.000	0.000
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	1.000	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	1.000	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	1.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.000	1.000	0.000
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.000	1.000	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	1.000	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	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
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	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
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	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

0.3920

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0995

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9904

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9895

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9871

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9811

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9804

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9789

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9762

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9726

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9630

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9270

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9213

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9181

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9108

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9039

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8906

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8783

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8632

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8593

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8358

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8271

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8035

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7977

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7684

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7526

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7101

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7067

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6997

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6975

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6966

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6791

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6511

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6440

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6309

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6059

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5993

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5968

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5898

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5807

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5615

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5233

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5144

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5031

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4977

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4854

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4827

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4776

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4513

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4356

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4009

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3963

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3898

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3521

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3515

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3490

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3469

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3396

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3324

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2892

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2891

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2770

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2765

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2746

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2479

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2419

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2393

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2338

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2198

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2003

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1948

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1750

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1718

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1642

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1484

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1476

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1427

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1360

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1335

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1321

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1307

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1276

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1221

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1036

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0984

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0965

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0940

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0789

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0788

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0758

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0593

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0568

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0541

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`)