TreeWAS – [R63.1] Polydipsia

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
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.702	0.298	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.683	0.317	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.628	0.372	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.609	0.391	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.585	0.415	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.563	0.437	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.559	0.441	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.506	0.494	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.494	0.505	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.485	0.515	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.450	0.550	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.448	0.552	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.443	0.557	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.427	0.573	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.424	0.576	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.421	0.579	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.416	0.583	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.415	0.585	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.411	0.589	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.374	0.626	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.348	0.652	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.341	0.659	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.330	0.670	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.329	0.671	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.326	0.674	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.307	0.692	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.304	0.696	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.301	0.699	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.293	0.707	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.292	0.708	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.277	0.723	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.257	0.743	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.250	0.749	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.241	0.759	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.238	0.762	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.214	0.786	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.201	0.798	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.172	0.828	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.146	0.854	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.142	0.857	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.140	0.860	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.137	0.863	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.125	0.874	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.114	0.886	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.113	0.886	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.105	0.894	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.103	0.897	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.095	0.904	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.093	0.907	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.092	0.908	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.092	0.908	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.080	0.920	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.080	0.920	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.078	0.922	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.059	0.940	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.059	0.941	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.059	0.941	0.001
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.052	0.948	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.049	0.951	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.047	0.953	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.040	0.960	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.039	0.960	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.034	0.966	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.032	0.967	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.032	0.968	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.031	0.969	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.028	0.971	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.028	0.972	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.024	0.975	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.024	0.976	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.023	0.977	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.017	0.982	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.017	0.983	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.016	0.984	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.014	0.986	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.012	0.988	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.012	0.988	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.008	0.992	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.006	0.994	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.005	0.994	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.005	0.994	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.005	0.995	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	0.995	0.005
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.004	0.996	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.996	0.004
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.003	0.996	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.996	0.003
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.003	0.997	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.997	0.003
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.003	0.997	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.003	0.997	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	0.997	0.003
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.002	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.002	0.998	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.002	0.998	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.000	0.998	0.002
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.002	0.998	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.002	0.998	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	0.998	0.002
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.002
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.002	0.998	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	0.998	0.002
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.002	0.998	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	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
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.001	0.999	0.000
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.001	0.999	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.001	0.999	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	0.999	0.001
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	0.999	0.001
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.001
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.001	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.000	0.999	0.001
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.000	0.999	0.001
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.001	0.999	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.001	0.999	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	0.999	0.001
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.001	0.999	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	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
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
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.001	0.999	0.000
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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.001	0.999	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	0.999	0.001
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.001	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.001
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.999	0.001
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rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.000	1.000	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.000	1.000	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs2624265 lBF = `-0.0584597` Chr`15` : `39,148,649`	0.000	1.000	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	1.000	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	1.000	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	1.000	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	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

0.3455

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9866

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9725

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9646

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9505

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9499

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9493

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9480

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9422

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9344

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9248

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9042

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8723

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8715

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8698

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8442

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8440

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8418

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8382

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8134

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7960

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7762

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7759

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7751

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7663

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7555

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7551

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7513

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7503

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7455

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7443

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7390

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7262

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7246

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7194

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7160

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7156

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7146

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7030

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6972

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6641

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6471

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6355

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6277

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6063

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6036

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5779

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5396

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5264

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5225

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5170

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5148

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5024

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5019

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4969

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4960

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4736

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4629

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4611

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4420

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4297

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4228

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4176

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4153

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4087

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4035

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3859

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3756

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3704

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3637

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3615

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3592

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3496

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3488

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3457

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3381

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3377

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3291

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3241

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2999

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2979

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2696

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2426

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2373

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2350

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1948

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1610

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1503

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1411

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1375

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1353

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1275

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1131

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1084

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0973

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0951

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0934

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0934

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0763

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0671

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0594

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0525

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0521

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`)