TreeWAS – [Z13.4] Special screening examination for certain developmental disorders in childhood

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`	0.712	0.288	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.704	0.296	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`	0.656	0.344	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.643	0.357	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.638	0.362	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
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.579	0.421	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
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.422	0.578	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.415	0.585	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.409	0.591	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
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
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.294	0.706	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
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
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.215	0.785	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
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.191	0.808	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
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`	0.137	0.862	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.114	0.886	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.111	0.888	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
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
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.082	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`	0.067	0.933	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`	0.064	0.936	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.061	0.939	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.049	0.951	0.001
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.048	0.952	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.043	0.957	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
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.035	0.965	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.030	0.969	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
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.026	0.974	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`	0.016	0.984	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`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.008	0.991	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.008	0.992	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.008	0.992	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
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.005	0.995	0.000
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
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
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
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	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
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.003	0.997	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.003	0.997	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.003	0.997	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.003	0.997	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	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
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.002	0.998	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	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
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.002	0.998	0.000
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
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	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
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	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
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.001	0.999	0.000
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
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	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
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
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
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
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.999	0.001
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
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.001
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
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
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.001	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.001	0.999	0.000
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rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	1.000	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	1.000	0.000
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	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
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
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	1.000	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	1.000	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	1.000	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	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
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	1.000	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	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

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

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 X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

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 X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

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 X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

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 X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

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 X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)