TreeWAS – [F31.9] Bipolar affective disorder, unspecified

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
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.956	0.044	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.867	0.133	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.838	0.162	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.813	0.187	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.804	0.196	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.775	0.225	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.744	0.256	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.731	0.269	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.726	0.274	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.709	0.291	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.704	0.296	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.689	0.311	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.684	0.316	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.663	0.337	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.646	0.354	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.644	0.356	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.623	0.377	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.613	0.387	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.589	0.411	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.587	0.413	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.557	0.443	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.544	0.456	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.543	0.457	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.514	0.486	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.497	0.503	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.509	0.491
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.473	0.526	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.464	0.536	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.460	0.539	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.454	0.546	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.449	0.551	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.449	0.551	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.449	0.551	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.447	0.553	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.443	0.557	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.440	0.560	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.437	0.563	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.435	0.565	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.432	0.568	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.423	0.577	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.422	0.577	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.422	0.578	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.414	0.586	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.412	0.588	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.411	0.589	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.410	0.589	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.404	0.596	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.396	0.604	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.394	0.606	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.394	0.606	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.390	0.610	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.377	0.623	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.371	0.629	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.369	0.631	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.367	0.633	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.363	0.637	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.358	0.641	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.345	0.654	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.345	0.655	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.335	0.665	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.334	0.666	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.328	0.672	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.325	0.675	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.325	0.675	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.324	0.676	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.323	0.677	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.323	0.677	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.306	0.694	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.303	0.697	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.302	0.698	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.299	0.701	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.295	0.705	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.291	0.709	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.286	0.714	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.285	0.715	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.284	0.716	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.283	0.716	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.282	0.717	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.278	0.722	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.275	0.724	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.273	0.727	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.266	0.733	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.266	0.733	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.264	0.735	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.264	0.736	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.256	0.743	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.253	0.747	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.250	0.749	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.245	0.755	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.235	0.765	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.234	0.766	0.001
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.233	0.767	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.232	0.768	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.229	0.771	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.228	0.772	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.227	0.772	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.222	0.778	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.218	0.781	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.211	0.789	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.209	0.790	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.209	0.790	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.001	0.802	0.197
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.197	0.803	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.190	0.810	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.183	0.816	0.001
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.184	0.816	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.183	0.817	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.180	0.820	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.178	0.821	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.178	0.821	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.177	0.823	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.173	0.827	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.159	0.841	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.144	0.855	0.001
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.860	0.140
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.139	0.860	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.136	0.864	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.133	0.866	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.132	0.867	0.001
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.131	0.868	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.128	0.872	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.127	0.873	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.120	0.880	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.118	0.881	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.111	0.889	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.109	0.890	0.001
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.106	0.893	0.001
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.105	0.895	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.102	0.898	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.095	0.904	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.093	0.907	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.082	0.918	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.081	0.918	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.081	0.919	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.080	0.919	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.919	0.081
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.068	0.932	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.932	0.068
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.065	0.934	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.064	0.935	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.063	0.937	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.063	0.937	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.060	0.940	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.942	0.058
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.057	0.942	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.057	0.942	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.057	0.943	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.057	0.943	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.052	0.947	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.050	0.950	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.045	0.955	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.044	0.955	0.001
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.956	0.044
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.044	0.956	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.044	0.956	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.044	0.956	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.041	0.959	0.001
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.040	0.960	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.039	0.960	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.039	0.960	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.032	0.967	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.031	0.967	0.002
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.030	0.970	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.029	0.971	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.026	0.974	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.025	0.975	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.024	0.976	0.000
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.023	0.977	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.022	0.978	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.021	0.978	0.001
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	0.978	0.022
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.022	0.978	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.021	0.979	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.020	0.980	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.020	0.980	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.014	0.981	0.004
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.018	0.982	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.017	0.982	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.017	0.983	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.014	0.985	0.001
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	0.985	0.015
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.014	0.985	0.001
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.014	0.986	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.013	0.986	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.013	0.987	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.013	0.987	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.013	0.987	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.987	0.012
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.012	0.988	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.011	0.989	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.011	0.989	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	0.989	0.011
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.011	0.989	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.010	0.990	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.010	0.990	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.009	0.990	0.001
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.009	0.991	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	0.991	0.009
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	0.992	0.008
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	0.992	0.008
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.000	0.992	0.008
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rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.001	0.999	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	0.999	0.001
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	0.999	0.001
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.001
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.001	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.001	0.999	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.999	0.001
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.001	0.999	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.001	0.999	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.001	0.999	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	0.999	0.001
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.001	0.999	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.001
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.001
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	0.999	0.001
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	0.999	0.001
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.001	0.999	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.001	0.999	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.999	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.999	0.001
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.001	0.999	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.001	0.999	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.001
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.000	0.999	0.000
rs2716601 lBF = `-0.110811` Chr`16` : `74,076,252`	0.001	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.001
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.999	0.001
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.001	0.999	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.001
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.001	0.999	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.001	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.001
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.001	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.001	0.999	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.001	0.999	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	0.999	0.001
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.001	0.999	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.999	0.001
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.001	0.999	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.001	0.999	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.001	0.999	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.001	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	0.999	0.001
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	0.999	0.001
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.001
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.001
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.001	0.999	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.001	0.999	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.001	0.999	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	0.999	0.001
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.999	0.001
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.999	0.001
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.001	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.001
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.999	0.001
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.001
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.001
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.999	0.001
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.999	0.001
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.001	0.999	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.001	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.001	0.999	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	0.999	0.001
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.001
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	0.999	0.001
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.001	0.999	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.001	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.3446

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1975

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1653

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.9999

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9995

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9987

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9982

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9977

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9928

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9920

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9887

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9816

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9800

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9778

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9650

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9633

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9625

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9491

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9405

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9394

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9239

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9201

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9180

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9180

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8977

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8907

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8891

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8798

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8777

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8777

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8526

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8366

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8141

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8002

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7869

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7828

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7805

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7795

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7407

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6974

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6853

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6831

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6624

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6514

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6449

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6383

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6344

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6329

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6269

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6133

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6110

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6095

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6036

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5976

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5910

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5610

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5478

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5285

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5281

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5266

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5133

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5080

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5011

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4919

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4769

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4507

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4436

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4338

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4292

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4063

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3977

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3953

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3793

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3633

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3469

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3360

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3261

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3239

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3194

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3145

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3107

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2987

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2904

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2903

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2900

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2898

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2684

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2562

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2512

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2364

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2228

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2196

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2145

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2013

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1995

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1957

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1945

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1943

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1846

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1789

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1756

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1617

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1540

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1538

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1518

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1505

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1468

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1462

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1216

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1178

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1113

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1096

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1084

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1047

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0977

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0958

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0957

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0935

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0859

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0810

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0804

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0786

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0763

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0759

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0751

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0626

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0621

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0585

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0519

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`)