TreeWAS – [R23.2] Flushing

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
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.641	0.359	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.578	0.421	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.519	0.481	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.518	0.482	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.508	0.491	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.495	0.505	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.493	0.507	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.481	0.519	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.476	0.524	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.467	0.532	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.465	0.535	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.449	0.551	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.442	0.558	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.441	0.559	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.440	0.560	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.438	0.562	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.432	0.567	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.428	0.572	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.422	0.578	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.422	0.578	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.421	0.579	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.419	0.581	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.415	0.585	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.412	0.588	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.399	0.601	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.394	0.606	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.394	0.606	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.386	0.614	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.381	0.619	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.376	0.623	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.368	0.631	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.363	0.637	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.361	0.638	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.354	0.646	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.350	0.649	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.347	0.653	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.341	0.658	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.341	0.659	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.330	0.670	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.325	0.675	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.324	0.676	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.322	0.678	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.299	0.701	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.292	0.708	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.285	0.715	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.281	0.718	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.281	0.719	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.278	0.722	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.266	0.733	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.260	0.740	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.249	0.751	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.245	0.755	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.220	0.780	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.214	0.786	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.206	0.794	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.190	0.810	0.001
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.187	0.812	0.001
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.188	0.812	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.178	0.822	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.832	0.168
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.165	0.834	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.164	0.836	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.150	0.850	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.144	0.855	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.143	0.857	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.142	0.858	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.138	0.862	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.134	0.865	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.133	0.867	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.130	0.870	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.119	0.881	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.119	0.881	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.112	0.887	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.109	0.890	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.107	0.893	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.105	0.895	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.102	0.898	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.101	0.898	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.098	0.902	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.096	0.903	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.093	0.906	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.091	0.909	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.087	0.913	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.086	0.914	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.085	0.915	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.075	0.925	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.074	0.925	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.069	0.931	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.068	0.932	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.068	0.932	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.937	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.062	0.938	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.942	0.058
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.057	0.942	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.050	0.949	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.050	0.949	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.049	0.951	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.046	0.954	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.042	0.958	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.041	0.959	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.041	0.959	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.040	0.960	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.034	0.966	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.033	0.967	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.030	0.970	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.027	0.973	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.025	0.975	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.023	0.977	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.020	0.980	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.016	0.984	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.015	0.984	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.015	0.985	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	0.987	0.013
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.013	0.987	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.012	0.987	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.009	0.991	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.009	0.991	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.008	0.991	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.008	0.992	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.007	0.993	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.006	0.993	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.006	0.994	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.005	0.995	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.005	0.995	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.005	0.995	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.004	0.996	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.004	0.996	0.001
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.996	0.004
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.004	0.996	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.004	0.996	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.004	0.996	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.996	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.996	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.004	0.996	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.003	0.997	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.003	0.997	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.003	0.997	0.000
rs3844412 lBF = `-0.049109` Chr`16` : `82,646,333`	0.003	0.997	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	0.997	0.003
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.003	0.997	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.003	0.997	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.003	0.997	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.003	0.997	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.997	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	0.997	0.003
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.002	0.997	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	0.997	0.003
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.002	0.998	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.998	0.002
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.002	0.998	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.002	0.998	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.002	0.998	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.998	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.998	0.001
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.998	0.002
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.002	0.998	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.001	0.998	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.001	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.998	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.001	0.998	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.001	0.999	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.001	0.999	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.001	0.999	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.999	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.001	0.999	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.999	0.001
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	0.999	0.001
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	0.999	0.001
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.001	0.999	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.001	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.001	0.999	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.001	0.999	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	0.999	0.001
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.001
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.001	0.999	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.001	0.999	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.999	0.001
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.001	0.999	0.000
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rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.001	0.999	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.999	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.999	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.999	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.999	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.001	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.001	0.999	0.000
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.001	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.001
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	0.999	0.001
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.001	0.999	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	0.999	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	0.999	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	0.999	0.001
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	0.999	0.001
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	0.999	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.001	0.999	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	0.999	0.001
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	0.999	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	0.999	0.001
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	0.999	0.001
rs2001970 lBF = `-0.0944758` Chr`16` : `55,255,191`	0.000	0.999	0.001
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	0.999	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	0.999	0.001
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.001	0.999	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	0.999	0.001
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	0.999	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	0.999	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.001	0.999	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.001	0.999	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	0.999	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.001	0.999	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	0.999	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.999	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.999	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.000
rs1981483 lBF = `0.0161886` Chr`16` : `630,665`	0.001	0.999	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	0.999	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	0.999	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	0.999	0.001
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs2240255 lBF = `-0.0360385` Chr`16` : `74,772,798`	0.000	0.999	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	0.999	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	0.999	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	0.999	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	0.999	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	0.999	0.001
rs6563898 lBF = `-0.136302` Chr`16` : `83,358,776`	0.000	0.999	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	0.999	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.999	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.999	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.999	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	0.999	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	0.999	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	0.999	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	0.999	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	0.999	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	0.999	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	0.999	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	0.999	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	0.999	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.999	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

0.3675

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1678

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0934

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9731

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9680

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9675

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9588

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9559

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9541

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9510

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9445

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9332

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9261

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8853

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8853

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8814

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8759

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8601

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8595

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8504

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8454

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8356

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8308

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8308

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8240

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8238

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8217

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8203

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8191

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8174

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8129

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8106

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8072

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8063

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8040

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7937

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7856

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7755

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7737

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7728

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7728

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7658

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7612

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7584

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7481

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7461

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7449

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7447

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7436

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7386

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7375

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7313

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7229

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7166

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7164

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7149

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7149

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7148

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7144

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7134

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7089

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7079

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7067

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6967

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6888

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6883

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6837

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6774

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6766

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6731

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6637

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6619

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6608

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6601

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6589

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6589

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6572

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6561

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6546

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6405

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6369

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6250

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6181

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6144

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6067

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6036

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5995

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5747

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5728

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5704

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5592

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5588

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5370

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5304

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5251

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5015

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4847

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4766

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4621

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4606

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4601

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4452

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4398

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4254

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4072

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4009

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3995

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3864

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3317

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3277

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3264

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3152

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3039

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3019

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2959

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2957

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2946

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2889

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2847

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2833

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2740

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2665

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2428

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2401

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2375

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2326

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2310

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2252

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2207

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1970

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1882

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1757

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1734

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1734

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1692

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1644

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1615

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1583

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1521

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1507

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1462

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1431

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1360

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1330

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1318

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1300

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1265

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1231

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1223

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1208

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1075

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0865

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0831

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0777

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0746

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0738

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0543

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`)