TreeWAS – [F10.5] Psychotic disorder

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
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.765	0.235	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.716	0.284	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.712	0.288	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.710	0.290	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.708	0.292	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.706	0.294	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.700	0.300	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.695	0.304	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.685	0.315	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.659	0.341	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.643	0.357	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.632	0.367	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.632	0.368	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.601	0.398	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.416	0.584
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.575	0.425	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.573	0.427	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.564	0.436	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.531	0.469	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.523	0.477	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.505	0.495	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.489	0.511	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.457	0.543	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.448	0.552	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.447	0.553	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.443	0.557	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.436	0.564	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.430	0.570	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.392	0.608	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.389	0.611	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.387	0.613	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.387	0.613	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.384	0.616	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.382	0.618	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.382	0.618	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.380	0.620	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.370	0.630	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.364	0.636	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.359	0.641	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.358	0.642	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.355	0.645	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.346	0.654	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.329	0.671	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.325	0.675	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.315	0.685	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.312	0.688	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.301	0.699	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.702	0.298
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.298	0.702	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.298	0.702	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.298	0.702	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.288	0.712	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.716	0.284
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.281	0.719	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.280	0.719	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.278	0.722	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.269	0.731	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.262	0.738	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.259	0.740	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.256	0.743	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.245	0.755	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.239	0.761	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.228	0.772	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.225	0.775	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.220	0.779	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.220	0.780	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.219	0.780	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.209	0.790	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.209	0.791	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.206	0.794	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.203	0.797	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.200	0.800	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.197	0.803	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.195	0.805	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.189	0.811	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.184	0.816	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.183	0.817	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.181	0.819	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.177	0.822	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.177	0.823	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.175	0.825	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.169	0.831	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.168	0.832	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.164	0.835	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.164	0.836	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.161	0.839	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.161	0.839	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.159	0.841	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.152	0.848	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.149	0.851	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.144	0.856	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.133	0.867	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.131	0.869	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.130	0.869	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.124	0.876	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.121	0.879	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.120	0.880	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.119	0.881	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.104	0.896	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.104	0.896	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.100	0.900	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.099	0.901	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.098	0.902	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.091	0.909	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.087	0.911	0.002
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.086	0.914	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.086	0.914	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.083	0.917	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.081	0.919	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.078	0.922	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.075	0.925	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.075	0.925	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.075	0.925	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.070	0.929	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.070	0.930	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.064	0.936	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.063	0.936	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.062	0.938	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.060	0.940	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.060	0.940	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.059	0.940	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.058	0.942	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.055	0.945	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.053	0.947	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.053	0.947	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.052	0.947	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.050	0.949	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.048	0.952	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.046	0.953	0.001
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.046	0.954	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.045	0.955	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.045	0.955	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.044	0.955	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.043	0.956	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.043	0.957	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.039	0.961	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.038	0.962	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.037	0.963	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.037	0.963	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.034	0.965	0.001
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.034	0.965	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.034	0.966	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.034	0.966	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.032	0.967	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.033	0.967	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.033	0.967	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.030	0.969	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.031	0.969	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.031	0.969	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.030	0.970	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.028	0.972	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.027	0.973	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.026	0.974	0.001
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.026	0.974	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.025	0.974	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.025	0.974	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.021	0.979	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.007	0.981	0.012
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.018	0.981	0.001
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.018	0.981	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.982	0.018
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.017	0.983	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.016	0.984	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.015	0.985	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.015	0.985	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.014	0.986	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.014	0.986	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.013	0.986	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.012	0.988	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.012	0.988	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.010	0.989	0.001
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	0.989	0.011
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.011	0.989	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.011	0.989	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.010	0.989	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.010	0.990	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	0.990	0.010
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.990	0.010
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.990	0.009
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.009	0.991	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.008	0.991	0.001
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.991	0.009
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.006	0.991	0.003
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.009	0.991	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	0.991	0.009
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.009	0.991	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	0.992	0.008
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.992	0.008
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.008	0.992	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.992	0.008
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.007	0.993	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.007	0.993	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.006	0.993	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	0.994	0.006
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	0.994	0.006
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.994	0.006
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.006	0.994	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	0.994	0.006
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.006	0.994	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
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rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	0.999	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	0.999	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	1.000	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	1.000	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	1.000	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	1.000	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.000	1.000	0.000
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.8693

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2980

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.0775

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9992

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9798

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9676

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9601

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9377

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9376

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9233

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9189

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9169

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9017

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8905

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8832

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8679

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8665

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8655

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8458

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8416

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.8415

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8314

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8257

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8246

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8187

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8117

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8021

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7955

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7812

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7246

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7167

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7165

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7164

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7164

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7163

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7160

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7159

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7152

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7151

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7149

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7145

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7124

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7044

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6946

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6908

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6881

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6836

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6768

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6719

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6708

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6595

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6483

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6311

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6234

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6224

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6052

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5850

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5606

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5510

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5391

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5201

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5199

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5191

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4978

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4452

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4437

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3929

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3870

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3673

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3641

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3383

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3342

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3320

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3047

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2921

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2810

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2704

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.2628

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2334

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2313

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2237

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2148

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2000

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1996

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1974

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1871

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1832

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1801

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1798

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1794

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1762

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1717

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1565

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1532

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1528

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1499

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1495

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1490

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1320

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1259

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1232

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1181

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1153

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1150

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1135

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1135

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1098

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1074

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0976

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0944

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0880

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0666

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0663

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0661

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0659

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0612

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0554

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0528

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`)