TreeWAS – [Y83] Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.987	0.013	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.984	0.016	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.976	0.024	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.967	0.033	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.962	0.038	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.044	0.956
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.952	0.048	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.931	0.069	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.923	0.077	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.916	0.084	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.909	0.091	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.897	0.103	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.892	0.108	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.850	0.150	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.822	0.178	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.811	0.189	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.809	0.191	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.809	0.191	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.801	0.199	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.778	0.222	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.719	0.281	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.707	0.293	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.704	0.296	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.677	0.323	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.651	0.349	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.615	0.385	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.612	0.388	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.601	0.399	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.598	0.402	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.561	0.439	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.557	0.443	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.552	0.448	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.507	0.493	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.505	0.495	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.502	0.498	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.500	0.500	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.497	0.503	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.492	0.508	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.485	0.515	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.477	0.523	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.469	0.531	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.466	0.534	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.466	0.534	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.465	0.535	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.449	0.551	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.422	0.578	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.421	0.579	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.397	0.603	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.389	0.611	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.386	0.614	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.377	0.623	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.366	0.634	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.353	0.647	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.351	0.649	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.350	0.650	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.350	0.650	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.348	0.652	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.347	0.653	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.334	0.666	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.295	0.704	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.288	0.712	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.274	0.726	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.260	0.740	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.257	0.743	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.256	0.744	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.224	0.776	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.214	0.786	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.212	0.788	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.210	0.790	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.205	0.795	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.200	0.800	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.200	0.800	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.196	0.804	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.195	0.805	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.190	0.810	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.190	0.810	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.188	0.812	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.187	0.813	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.183	0.817	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.182	0.818	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.175	0.825	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.172	0.828	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.172	0.828	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.170	0.829	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.169	0.831	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.167	0.833	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.164	0.836	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.147	0.853	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.142	0.858	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.139	0.861	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.137	0.863	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.133	0.867	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.131	0.869	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.131	0.869	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.128	0.872	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.119	0.881	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.115	0.885	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.115	0.885	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.113	0.887	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.112	0.888	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.109	0.891	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.108	0.892	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.106	0.894	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.102	0.898	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.101	0.899	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.099	0.901	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.095	0.905	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.094	0.906	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.094	0.906	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.091	0.908	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.090	0.910	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.088	0.912	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.086	0.913	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.080	0.920	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.920	0.080
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.076	0.924	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.073	0.927	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.069	0.931	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.068	0.932	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.064	0.936	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.063	0.937	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.061	0.937	0.002
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.057	0.943	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.055	0.945	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.054	0.946	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.052	0.948	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.047	0.953	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.046	0.953	0.001
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.043	0.957	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.042	0.958	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.039	0.961	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.038	0.962	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.021	0.963	0.016
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.036	0.964	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.036	0.964	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.033	0.967	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.033	0.967	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.032	0.967	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.032	0.968	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.031	0.969	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.030	0.970	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.030	0.970	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.025	0.975	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.024	0.976	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.023	0.977	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.023	0.977	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.022	0.978	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.021	0.979	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.020	0.980	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.019	0.981	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.018	0.982	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.018	0.982	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.017	0.983	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.016	0.984	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.016	0.984	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.016	0.984	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.015	0.985	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.015	0.985	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.014	0.986	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.014	0.986	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.012	0.988	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.011	0.989	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.011	0.989	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.989	0.011
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.009	0.991	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.008	0.992	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.992	0.008
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.007	0.993	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.006	0.994	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.006	0.994	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.006	0.994	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.006	0.994	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.005	0.995	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.005	0.995	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.004	0.995	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.004	0.996	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.004	0.996	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	0.996	0.004
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.996	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.002	0.998	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.998	0.002
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
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rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	1.000	0.000
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.000	1.000	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	1.000	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.000	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.000	1.000	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs2240255 lBF = `-0.0360385` Chr`16` : `74,772,798`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs3784943 lBF = `-0.0568387` Chr`16` : `83,712,435`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs12443954 lBF = `-0.0692959` Chr`16` : `89,741,496`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs9921222 lBF = `-0.0968102` Chr`16` : `375,782`	0.000	1.000	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9563

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2291

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9997

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9997

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9994

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9989

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9980

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9963

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9940

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9904

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9875

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9753

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9700

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9667

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9482

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9362

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9336

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9306

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9282

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9144

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8959

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7908

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7357

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6712

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5205

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3448

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3351

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3213

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2465

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2439

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2320

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2216

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2120

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2042

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1974

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1818

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1767

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1759

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1604

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1574

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1522

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1407

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1218

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1013

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0870

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0775

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0716

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0562

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0538

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0525

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`)