TreeWAS – [Y83.2] Surgical operation with anastomosis, bypass or graft

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Y83.2

Surgical operation with anastomosis, bypass or graft

Parent term

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

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Variant effects

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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
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.949	0.051	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.932	0.068	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.887	0.113	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.123	0.877
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.860	0.140	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.859	0.141	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.825	0.175	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.822	0.178	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.794	0.206	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.733	0.267	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.660	0.340	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.647	0.353	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.642	0.358	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.616	0.384	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.615	0.385	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.592	0.408	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.580	0.420	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.562	0.438	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.544	0.456	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.530	0.470	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.529	0.471	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.474	0.526	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.470	0.530	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.467	0.533	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.467	0.533	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.429	0.571	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.397	0.602	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.390	0.610	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.387	0.613	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.384	0.616	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.381	0.619	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.378	0.622	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.372	0.628	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.368	0.632	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.361	0.639	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.352	0.648	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.346	0.654	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.336	0.664	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.335	0.665	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.328	0.672	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.313	0.687	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.295	0.705	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.295	0.705	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.282	0.718	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.272	0.727	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.263	0.737	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.257	0.743	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.255	0.744	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.255	0.745	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.253	0.747	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.240	0.760	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.210	0.790	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.194	0.806	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.190	0.810	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.187	0.813	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.186	0.814	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.184	0.816	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.180	0.819	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.178	0.822	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.174	0.826	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.170	0.830	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.159	0.840	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.158	0.842	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.147	0.853	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.147	0.853	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.143	0.856	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.141	0.859	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.138	0.862	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.136	0.864	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.130	0.870	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.126	0.874	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.125	0.875	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.119	0.881	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.118	0.882	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.109	0.891	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.108	0.892	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.107	0.893	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.104	0.896	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.099	0.901	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.099	0.901	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.098	0.902	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.095	0.905	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.093	0.907	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.087	0.913	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.086	0.914	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.083	0.916	0.001
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.083	0.917	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.079	0.921	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.078	0.922	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.074	0.926	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.074	0.926	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.926	0.074
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.073	0.927	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.072	0.928	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.067	0.933	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.066	0.934	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.066	0.934	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.064	0.936	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.062	0.938	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.062	0.938	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.060	0.940	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.057	0.943	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.056	0.943	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.056	0.944	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.055	0.945	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.055	0.945	0.001
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.051	0.949	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.050	0.949	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.050	0.950	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.049	0.950	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.049	0.951	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.043	0.957	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.042	0.958	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.039	0.961	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.035	0.964	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.031	0.969	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.031	0.969	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.031	0.969	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.031	0.969	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.028	0.970	0.002
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.030	0.970	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.029	0.970	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.029	0.971	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.028	0.972	0.001
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.027	0.973	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.026	0.974	0.001
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.026	0.974	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.025	0.975	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.024	0.976	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.024	0.976	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.024	0.976	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.024	0.976	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.977	0.023
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.023	0.977	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.021	0.978	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.021	0.979	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.020	0.980	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.008	0.981	0.011
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.018	0.982	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.018	0.982	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.018	0.982	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.017	0.983	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.013	0.987	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.012	0.988	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.012	0.988	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.012	0.988	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.012	0.988	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.012	0.988	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.011	0.989	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.011	0.989	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.011	0.989	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.010	0.990	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.010	0.990	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.009	0.991	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.008	0.992	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.008	0.992	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.008	0.992	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.008	0.992	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.007	0.992	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.007	0.993	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	0.993	0.007
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.993	0.007
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.993	0.001
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.006	0.994	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.005	0.995	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.005	0.995	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.005	0.995	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.005	0.995	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.005	0.995	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.004	0.995	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.004	0.996	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.996	0.004
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.003	0.997	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.003	0.997	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.003	0.997	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.997	0.003
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	0.997	0.003
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.997	0.003
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.002	0.998	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	0.998	0.002
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.002	0.998	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.002	0.998	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.998	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.001	0.998	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
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rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	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
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	1.000	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	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
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	1.000	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.000	1.000	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	1.000	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	1.000	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	1.000	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	1.000	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	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

0.8771

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.7099

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0623

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9995

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9992

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9991

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9988

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9976

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9943

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9935

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9902

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9893

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9825

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9798

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9778

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9711

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9238

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9064

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8930

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8907

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8753

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8595

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8289

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7879

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7688

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7497

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7005

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6860

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6818

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6413

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6155

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5281

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4831

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4675

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4643

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4139

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4051

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3757

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3682

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3136

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3101

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3087

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2254

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2219

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2130

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2115

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1863

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1702

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1701

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1669

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1512

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1443

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1440

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1321

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1267

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1205

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1127

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0906

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0898

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0872

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0760

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0683

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)

Hospitalization Episode Statistics (`HES`)