TreeWAS – [Z13.3] Special screening examination for mental and behavioural disorders

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
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.764	0.236	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.704	0.296	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.700	0.300	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.688	0.311	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.675	0.325	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.670	0.330	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.638	0.362	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.623	0.376	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.621	0.379	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.610	0.390	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.603	0.397	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.577	0.423	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.547	0.452	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.540	0.460	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.534	0.466	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.486	0.514	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.459	0.541	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.447	0.553	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.422	0.578	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.366	0.634	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.364	0.636	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.363	0.637	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.359	0.640	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.341	0.659	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.337	0.663	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.321	0.679	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.308	0.691	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.304	0.696	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.280	0.719	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.279	0.721	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.255	0.745	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.244	0.756	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.241	0.759	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.224	0.776	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.213	0.787	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.209	0.791	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.206	0.794	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.196	0.804	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.193	0.807	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.191	0.809	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.185	0.814	0.001
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.185	0.815	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.175	0.825	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.172	0.827	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.170	0.830	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.169	0.831	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.162	0.838	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.160	0.840	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.156	0.844	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.152	0.848	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.151	0.849	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.146	0.853	0.001
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.140	0.860	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.134	0.866	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.118	0.881	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.114	0.886	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.111	0.888	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.108	0.892	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.106	0.894	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.102	0.896	0.002
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.098	0.902	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.093	0.907	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.089	0.911	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.088	0.912	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.087	0.913	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.085	0.915	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.083	0.917	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.081	0.918	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.925	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.073	0.927	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.072	0.928	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.068	0.932	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.065	0.935	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.064	0.935	0.001
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.062	0.938	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.049	0.950	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.048	0.952	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.048	0.952	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.039	0.961	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.038	0.962	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.038	0.962	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.038	0.962	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.035	0.965	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.035	0.965	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.029	0.971	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.027	0.972	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.027	0.973	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.027	0.973	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.025	0.975	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.024	0.976	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.022	0.978	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.020	0.980	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.019	0.981	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.018	0.982	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.015	0.985	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.014	0.986	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.010	0.990	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.008	0.992	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.007	0.993	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.006	0.994	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.005	0.995	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.004	0.995	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.003	0.996	0.002
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.004	0.996	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.004	0.996	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.004	0.996	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.003	0.997	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.003	0.997	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.003	0.997	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.002	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.997	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.002	0.997	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.002	0.998	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.002	0.998	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.002	0.998	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.002	0.998	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.998	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.001	0.998	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.001	0.998	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.001	0.999	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.001	0.999	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.001	0.999	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	0.999	0.001
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.999	0.001
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
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
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	0.999	0.001
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.001	0.999	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	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
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	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
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
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
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
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	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
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.001	0.999	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.001	0.999	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.001	0.999	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.001
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	0.999	0.001
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.001	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.001	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.001
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rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.000	1.000	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	1.000	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.000	1.000	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	1.000	0.000
rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	1.000	0.000
rs4842838 lBF = `-0.110493` Chr`15` : `84,582,124`	0.000	1.000	0.000
rs8030379 lBF = `-0.111817` Chr`15` : `84,590,910`	0.000	1.000	0.000
rs10906982 lBF = `-0.111832` Chr`15` : `84,568,158`	0.000	1.000	0.000
rs11259936 lBF = `-0.112077` Chr`15` : `84,580,582`	0.000	1.000	0.000
rs11259933 lBF = `-0.112845` Chr`15` : `84,580,156`	0.000	1.000	0.000
rs7183263 lBF = `-0.113154` Chr`15` : `84,573,041`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.000	1.000	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs2414095 lBF = `-0.0223207` Chr`15` : `51,524,292`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs11070747 lBF = `-0.0533145` Chr`15` : `50,376,439`	0.000	1.000	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	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

0.0642

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0639

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9427

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9339

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9076

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8924

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8904

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8776

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8760

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8736

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8733

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8583

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8388

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8050

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7913

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7759

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7751

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7696

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7682

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7669

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7614

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7614

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7567

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7562

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7537

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7363

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7306

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7238

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7105

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7103

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6875

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6759

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6569

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6560

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6344

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6305

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6301

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6284

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5892

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5592

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5057

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4918

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4701

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4634

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4561

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4097

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3144

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3071

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3016

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2893

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2785

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2770

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2717

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2590

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2473

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2425

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2345

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2141

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2081

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1830

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1555

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1480

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1473

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1283

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1151

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1146

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1106

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1020

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1005

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0895

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0892

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0833

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0781

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0754

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0721

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0712

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0677

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0592

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0513

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`)