TreeWAS – [R06.6] Hiccough

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
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.711	0.289	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.701	0.299	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.699	0.301	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.663	0.337	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.652	0.348	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.610	0.390	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.561	0.439	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.523	0.477	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.503	0.497	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.495	0.505	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.492	0.508	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.489	0.511	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.482	0.518	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.470	0.530	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.466	0.534	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.466	0.534	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.455	0.545	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.438	0.562	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.426	0.574	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.419	0.581	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.408	0.592	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.402	0.598	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.390	0.610	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.373	0.626	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.347	0.652	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.346	0.654	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.339	0.660	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.311	0.688	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.302	0.698	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.280	0.719	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.271	0.729	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.262	0.738	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.253	0.746	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.217	0.783	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.211	0.789	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.185	0.815	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.184	0.816	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.163	0.837	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.160	0.840	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.150	0.850	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.141	0.858	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.116	0.884	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.115	0.885	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.093	0.907	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.089	0.911	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.087	0.913	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.085	0.915	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.082	0.918	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.073	0.927	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.066	0.934	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.064	0.935	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.054	0.946	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.053	0.947	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.046	0.954	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.044	0.956	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.035	0.965	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.035	0.965	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.034	0.966	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.031	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.969	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.031	0.969	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.030	0.970	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.028	0.972	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.027	0.973	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.027	0.973	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.026	0.974	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.025	0.975	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.025	0.975	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.025	0.975	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.025	0.975	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.021	0.979	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.021	0.979	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.018	0.981	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.015	0.985	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.985	0.014
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.014	0.986	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.012	0.988	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.011	0.989	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.011	0.989	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.010	0.989	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.010	0.989	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.992	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.008	0.992	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.007	0.992	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.006	0.993	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.006	0.994	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.004	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.004	0.996	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.004	0.996	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.004	0.996	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.003	0.996	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.003	0.996	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.002	0.997	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	0.998	0.002
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.002	0.998	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.002	0.998	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.002	0.998	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	0.998	0.002
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.002	0.998	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.002	0.998	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.001	0.998	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.001	0.998	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.002	0.998	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.999	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.001	0.999	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	0.999	0.001
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.001	0.999	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.001
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	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
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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.001
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	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
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
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.001	0.999	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.001	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.001	0.999	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.001	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	0.999	0.001
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.000	0.999	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.001	0.999	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.001	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.001	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.000	0.999	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.001	0.999	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	0.999	0.001
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.000	0.999	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.001	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	0.999	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	0.999	0.001
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	0.999	0.001
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rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	1.000	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	1.000	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	1.000	0.000
rs997295 lBF = `-0.0911978` Chr`15` : `68,016,343`	0.000	1.000	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	1.000	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	1.000	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	1.000	0.000
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.000	1.000	0.000
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.000	1.000	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	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
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	1.000	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	1.000	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	1.000	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	1.000	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs4886585 lBF = `13.7456` Chr`15` : `79,026,315`	0.000	1.000	0.000
rs80162468 lBF = `13.7456` Chr`15` : `79,026,316`	0.000	1.000	0.000
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.000	1.000	0.000
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.000	1.000	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.000	1.000	0.000
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	1.000	0.000
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	1.000	0.000
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	1.000	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	1.000	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	1.000	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	1.000	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	1.000	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	1.000	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	1.000	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	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
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	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
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	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

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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3440

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9972

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9730

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9452

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9231

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9184

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9173

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8966

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8956

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8862

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8794

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8760

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8736

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8714

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8602

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8511

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8456

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8436

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8202

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8159

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8025

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7773

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7739

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7565

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7548

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7458

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7423

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7158

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7112

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7082

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6807

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6781

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6627

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6454

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6194

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6074

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5695

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5376

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5151

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5135

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5068

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5038

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5038

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4417

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4387

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4330

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4045

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3422

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2884

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2826

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2636

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2510

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2236

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2229

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2197

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2193

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1908

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1805

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1805

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1778

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1703

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1655

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1612

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1574

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1361

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1296

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1144

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1141

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1029

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0945

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0819

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0792

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0740

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0738

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0722

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0597

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0507

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`)