TreeWAS – [A08] Viral and other specified intestinal infections

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

A08

Viral and other specified intestinal infections

Parent term	A00-A09 Intestinal infectious diseases
Nested terms	A08.0 Rotaviral enteritis A08.1 Acute gastro-enteropathy due to Norwalk agent A08.2 Adenoviral enteritis A08.3 Other viral enteritis A08.4 Viral intestinal infection, unspecified A08.5 Other specified intestinal infections

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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
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.875	0.125	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.845	0.155	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.790	0.210	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.745	0.255	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.731	0.269	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.728	0.272	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.727	0.273	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.726	0.274	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.686	0.314	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.663	0.337	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.659	0.341	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.652	0.348	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.652	0.348	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.643	0.357	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.635	0.365	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.630	0.369	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.611	0.389	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.609	0.391	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.603	0.396	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.603	0.397	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.602	0.398	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.598	0.401	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.598	0.402	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.595	0.405	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.583	0.417	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.582	0.418	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.575	0.424	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.575	0.425	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.568	0.432	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.540	0.459	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.540	0.460	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.539	0.461	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.538	0.462	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.529	0.471	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.526	0.473	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.515	0.485	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.503	0.497	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.502	0.498	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.498	0.502	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.496	0.504	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.492	0.508	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.478	0.522	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.459	0.541	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.455	0.545	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.439	0.561	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.438	0.562	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.436	0.564	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.432	0.568	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.429	0.571	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.428	0.572	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.426	0.574	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.424	0.576	0.001
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.423	0.577	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.422	0.578	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.419	0.581	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.415	0.585	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.411	0.589	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.410	0.590	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.409	0.591	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.407	0.593	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.403	0.596	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.402	0.598	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.399	0.601	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.391	0.608	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.379	0.621	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.377	0.623	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.373	0.627	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.371	0.629	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.364	0.636	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.361	0.639	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.361	0.639	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.350	0.650	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.349	0.651	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.348	0.652	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.345	0.654	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.345	0.655	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.338	0.661	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.337	0.663	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.335	0.665	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.334	0.665	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.332	0.668	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.328	0.672	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.320	0.680	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.318	0.682	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.311	0.688	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.311	0.688	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.300	0.700	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.293	0.706	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.293	0.706	0.001
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.293	0.707	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.292	0.708	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.283	0.716	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.281	0.719	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.276	0.724	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.271	0.729	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.269	0.730	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.267	0.733	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.265	0.735	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.262	0.738	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.260	0.740	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.244	0.755	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.243	0.757	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.237	0.763	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.234	0.766	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.234	0.766	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.233	0.766	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.229	0.771	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.227	0.773	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.227	0.773	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.225	0.775	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.222	0.778	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.222	0.778	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.216	0.784	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.213	0.787	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.208	0.792	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.207	0.792	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.201	0.798	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.201	0.798	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.200	0.800	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.198	0.802	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.195	0.804	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.190	0.810	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.190	0.810	0.001
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.188	0.812	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.184	0.816	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.181	0.819	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.180	0.820	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.178	0.822	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.170	0.830	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.834	0.166
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.162	0.837	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.160	0.839	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.157	0.843	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.145	0.855	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.143	0.856	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.136	0.863	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.132	0.868	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.130	0.870	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.129	0.870	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.128	0.872	0.001
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.119	0.880	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.116	0.883	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.114	0.886	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.114	0.886	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.111	0.889	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.111	0.889	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.109	0.891	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.106	0.894	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.094	0.906	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.088	0.912	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.087	0.913	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.085	0.915	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.084	0.916	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.072	0.925	0.004
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.075	0.925	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.071	0.929	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.071	0.929	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.065	0.934	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.062	0.938	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.058	0.942	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.058	0.942	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.053	0.946	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.045	0.955	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.043	0.957	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.041	0.958	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.038	0.962	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.036	0.963	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.036	0.964	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.034	0.966	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.032	0.968	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.028	0.971	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.024	0.976	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.018	0.982	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.013	0.986	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.012	0.988	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.010	0.989	0.001
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.007	0.992	0.001
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.996	0.004
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.004	0.996	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	0.996	0.004
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.996	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
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.997	0.003
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	0.997	0.003
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.000	0.997	0.003
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.002	0.998	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.002	0.998	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.002	0.998	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	0.998	0.002
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	0.998	0.002
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.002	0.998	0.000
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rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	1.000	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	1.000	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	1.000	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	1.000	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	1.000	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	1.000	0.000
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	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
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	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
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs3784943 lBF = `-0.0568387` Chr`16` : `83,712,435`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	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

0.2181

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1659

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1163

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9998

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9992

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9970

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9874

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9814

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9803

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9597

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9577

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9539

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9530

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9489

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9336

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9336

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9328

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9222

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9150

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9126

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9062

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9035

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9013

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8994

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8942

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8831

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8826

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8818

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8811

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8792

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8780

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8747

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8702

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8556

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8555

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8514

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8434

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8397

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8359

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8288

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8244

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8149

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8135

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8124

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8012

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8005

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7990

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7825

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7771

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7754

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7663

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7505

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7473

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7464

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7408

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7338

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7160

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7097

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7096

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7062

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6985

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6953

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6910

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6882

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6881

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6852

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6851

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6795

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6724

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6721

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6705

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6693

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6678

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6452

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6439

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6425

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6288

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6068

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6057

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6048

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5935

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5866

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5777

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5731

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5687

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5657

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5553

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5522

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5521

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5492

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5470

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5322

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5238

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5180

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5124

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5090

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5025

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4820

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4782

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4577

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4560

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4505

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4499

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4489

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4333

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4310

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4262

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4222

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4123

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4095

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4078

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4018

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3972

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3967

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3882

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3741

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3732

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3711

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3661

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3656

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3634

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3631

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3577

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3572

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3504

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3427

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3360

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3311

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3308

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3287

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3245

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3219

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3219

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3167

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3085

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2998

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2947

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2907

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2899

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2842

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2803

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2782

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2703

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2675

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2639

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2633

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2624

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2593

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2512

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2508

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2445

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2443

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2406

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2356

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2309

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2294

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2272

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2262

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2232

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2227

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2213

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2136

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2125

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2068

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2057

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2055

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2042

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2034

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2006

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2002

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1935

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1904

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1883

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1779

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1775

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1756

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1724

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1687

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1685

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1681

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1679

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1658

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1647

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1577

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1545

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1506

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1478

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1460

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1438

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1434

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1380

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1375

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1260

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1256

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1250

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1196

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1124

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1092

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0999

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0955

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0931

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.0922

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0761

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0749

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0722

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0695

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0658

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0644

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0500

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`)