TreeWAS – [I44.3] Other and unspecified atrioventricular block

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
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.794	0.206	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.764	0.236	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.740	0.260	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.740	0.260	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.726	0.274	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.721	0.279	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.698	0.302	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.627	0.373	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.621	0.379	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.618	0.382	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.606	0.394	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.602	0.398	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.600	0.400	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.597	0.403	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.589	0.411	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.587	0.413	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.583	0.417	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.579	0.421	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.572	0.428	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.571	0.429	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.569	0.431	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.569	0.431	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.567	0.433	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.548	0.452	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.546	0.453	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.539	0.460	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.538	0.462	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.537	0.463	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.522	0.478	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.481	0.519
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.500	0.500	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.499	0.501	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.495	0.504	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.492	0.507	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.490	0.510	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.484	0.515	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.480	0.520	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.477	0.523	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.473	0.527	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.469	0.530	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.465	0.535	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.463	0.537	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.461	0.539	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.454	0.546	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.447	0.552	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.444	0.556	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.443	0.557	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.438	0.561	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.564	0.436
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.428	0.572	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.427	0.573	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.426	0.574	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.425	0.575	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.417	0.583	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.394	0.605	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.392	0.608	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.389	0.610	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.389	0.611	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.384	0.615	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.621	0.379
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.376	0.623	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.365	0.635	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.351	0.648	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.342	0.658	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.335	0.664	0.001
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.318	0.681	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.318	0.682	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.291	0.709	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.283	0.717	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.280	0.720	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.278	0.722	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.266	0.733	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.263	0.736	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.739	0.261
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.254	0.746	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.253	0.746	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.250	0.750	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.241	0.759	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.240	0.759	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.234	0.765	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.230	0.770	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.175	0.825	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.170	0.830	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.155	0.845	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.151	0.849	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.149	0.850	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.127	0.872	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.123	0.877	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.881	0.119
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.115	0.884	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.106	0.894	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.102	0.898	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.093	0.906	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.089	0.911	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.082	0.918	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.081	0.919	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.069	0.931	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.061	0.938	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.058	0.942	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.057	0.942	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.054	0.946	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.052	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.050	0.950	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.043	0.957	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.043	0.957	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.034	0.966	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.970	0.030
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.029	0.971	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.971	0.029
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.027	0.973	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.974	0.025
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.023	0.977	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.023	0.977	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.022	0.977	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.022	0.978	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.022	0.978	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.021	0.979	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.021	0.979	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.020	0.980	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.019	0.980	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.019	0.980	0.001
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.019	0.981	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.018	0.981	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.018	0.982	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.018	0.982	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.982	0.018
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.017	0.982	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.017	0.983	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.015	0.985	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.014	0.986	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.014	0.986	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.012	0.987	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.005	0.988	0.007
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.012	0.988	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.012	0.988	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.011	0.989	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.011	0.989	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.008	0.989	0.003
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.010	0.990	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.009	0.990	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.009	0.991	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.009	0.991	0.000
rs2080454 lBF = `-0.0203477` Chr`16` : `49,062,590`	0.000	0.991	0.009
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.992	0.007
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.007	0.993	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.001	0.993	0.006
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.006	0.994	0.000
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.006	0.994	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.003	0.995	0.003
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.004	0.995	0.001
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.005	0.995	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.005	0.995	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.005	0.995	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.005	0.995	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.005	0.995	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.004	0.995	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.996	0.004
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.996	0.004
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.004	0.996	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.003	0.996	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.003	0.997	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.997	0.003
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	0.997	0.003
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.997	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.002	0.997	0.001
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.997	0.003
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	0.997	0.003
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.998	0.002
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.002	0.998	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.002	0.998	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.998	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.001	0.998	0.001
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.002	0.998	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.001	0.998	0.001
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.002	0.998	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	0.998	0.002
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.002	0.998	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	0.998	0.002
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.998	0.002
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.001	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.998	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.002	0.998	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.001	0.998	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.001	0.998	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.998	0.001
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.999	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	0.999	0.001
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.001
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
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rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	1.000	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.000	1.000	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	1.000	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	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
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	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
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.000	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	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

0.5190

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2992

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9803

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9749

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9632

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9623

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9578

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9561

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9558

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9497

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9483

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9356

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9160

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9158

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9129

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8994

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8856

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8846

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8725

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8706

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8649

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8599

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8490

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8338

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8244

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8230

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8210

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8177

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8157

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8085

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8043

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7974

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7880

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7862

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7839

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7839

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7748

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7687

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7647

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7590

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7521

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7478

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7452

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7425

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7416

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7348

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7159

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7126

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7119

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6902

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6816

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6815

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6757

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6688

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6525

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6429

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6364

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6288

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6238

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6169

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6138

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5952

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5889

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5857

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5650

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5553

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5508

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5466

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5167

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5011

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4572

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4493

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4478

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4427

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4426

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.4313

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4161

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4131

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4109

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4038

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4001

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3801

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3762

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3563

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3493

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3467

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3430

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3428

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3420

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3397

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3332

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3260

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3200

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3009

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2864

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2778

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2551

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2383

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2383

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2289

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2278

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2130

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2116

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2089

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2065

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1999

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1885

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1881

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1707

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1669

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1668

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1658

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1524

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1491

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1468

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1407

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1384

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1117

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1090

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1082

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1075

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1028

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1013

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0983

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0974

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0939

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0718

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0697

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0696

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0675

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0592

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0560

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0544

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0520

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0502

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`)