TreeWAS – [Z98.2] Presence of cerebrospinal fluid drainage device

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
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.854	0.146	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.721	0.278	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.721	0.279	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.702	0.298	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.661	0.339	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.646	0.353	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.643	0.356	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.637	0.363	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.635	0.365	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.592	0.407	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.592	0.408	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.581	0.419	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.552	0.448	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.539	0.461	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.536	0.464	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.521	0.478	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.496	0.503	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.496	0.503	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.495	0.504	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.481	0.519	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.464	0.536	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.456	0.544	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.546	0.454
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.450	0.550	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.445	0.555	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.437	0.563	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.419	0.581	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.390	0.610	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.388	0.612	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.357	0.643	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.340	0.660	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.331	0.669	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.323	0.677	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.285	0.715	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.281	0.719	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.279	0.721	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.278	0.722	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.276	0.724	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.272	0.727	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.271	0.729	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.246	0.753	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.231	0.769	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.223	0.777	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.212	0.788	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.210	0.789	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.208	0.791	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.208	0.792	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.205	0.794	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.204	0.796	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.201	0.798	0.001
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.195	0.805	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.191	0.809	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.176	0.824	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.173	0.826	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.173	0.827	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.160	0.840	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.140	0.860	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.126	0.874	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.119	0.881	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.107	0.893	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.106	0.894	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.105	0.895	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.092	0.908	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.081	0.918	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.080	0.920	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.078	0.922	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.071	0.928	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.061	0.939	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.049	0.951	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.040	0.959	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.040	0.960	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.038	0.962	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.033	0.967	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.033	0.967	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.032	0.968	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.032	0.968	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.031	0.969	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.026	0.974	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.025	0.975	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.024	0.976	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	0.978	0.022
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.022	0.978	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.021	0.979	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.020	0.980	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.017	0.982	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.014	0.986	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.013	0.987	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.011	0.989	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.010	0.989	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.010	0.990	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.010	0.990	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.009	0.991	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.008	0.992	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.007	0.993	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.006	0.993	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.007	0.993	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.006	0.994	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.994	0.006
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	0.994	0.006
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.006	0.994	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.006	0.994	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.005	0.995	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.005	0.995	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	0.995	0.005
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.005	0.995	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.004	0.996	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	0.997	0.003
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	0.997	0.003
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	0.997	0.003
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	0.997	0.003
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.003	0.997	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.003	0.997	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.002	0.998	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.002	0.998	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.002	0.998	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.002	0.998	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.998	0.001
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.001	0.998	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.998	0.002
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	0.998	0.001
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.999	0.001
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.001	0.999	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	0.999	0.001
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.001	0.999	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.001	0.999	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.999	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.999	0.001
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	0.999	0.001
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.001	0.999	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.001	0.999	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
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rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	1.000	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	1.000	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.000	1.000	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	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
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	1.000	0.000
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	1.000	0.000
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.000	1.000	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	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
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	1.000	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7105

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4544

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0997

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9994

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9930

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9817

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9737

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9679

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9657

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9620

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9345

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9301

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9289

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9243

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9219

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9176

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9123

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9089

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9006

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8927

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8917

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8909

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8862

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8727

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8663

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8559

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8408

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8327

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8306

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8181

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8001

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7930

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7893

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7874

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7869

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7559

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7551

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7544

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7541

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7484

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7374

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7287

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7232

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7203

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7007

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6936

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6670

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6660

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6593

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6587

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6572

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6504

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6417

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6410

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6247

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6210

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6208

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5973

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5957

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5836

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5720

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5392

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5345

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5279

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5245

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5042

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4997

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4842

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4713

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4693

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4679

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4550

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4414

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4302

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4228

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4177

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4161

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4113

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4011

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3956

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3840

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3596

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3583

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3162

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3134

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3101

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2580

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2538

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2537

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2440

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2437

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2376

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2266

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2007

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1745

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1641

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1573

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1519

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1391

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1362

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1165

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1097

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1071

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1019

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0944

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0828

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0805

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0578

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0569

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0560

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0541

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0540

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0513

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0511

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`)