TreeWAS – [F48] Other neurotic disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

F48

Other neurotic disorders

Parent term	F40-F48 Neurotic, stress-related and somatoform disorders
Nested terms	F48.0 Neurasthenia F48.1 Depersonalisation-derealisation syndrome F48.8 Other specified neurotic disorders F48.9 Neurotic disorder, unspecified

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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
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.757	0.243	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.734	0.266	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.715	0.285	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.714	0.286	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.711	0.289	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.710	0.290	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.709	0.291	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.708	0.292	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.705	0.294	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.704	0.295	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.701	0.299	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.697	0.303	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.690	0.309	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.687	0.313	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.680	0.320	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.676	0.324	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.670	0.330	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.665	0.335	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.665	0.335	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.657	0.343	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.657	0.343	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.651	0.349	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.645	0.355	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.643	0.357	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.636	0.364	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.605	0.395	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.604	0.396	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.595	0.405	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.590	0.410	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.590	0.410	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.590	0.410	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.587	0.413	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.585	0.415	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.584	0.416	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.580	0.420	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.579	0.421	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.576	0.424	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.570	0.430	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.569	0.431	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.567	0.433	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.563	0.436	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.561	0.439	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.554	0.446	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.535	0.465	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.533	0.467	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.531	0.469	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.527	0.473	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.525	0.474	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.514	0.486	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.513	0.487	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.512	0.488	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.509	0.491	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.505	0.495	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.505	0.495	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.498	0.502	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.497	0.503	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.495	0.505	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.488	0.512	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.515	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.479	0.521	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.478	0.522	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.461	0.539	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.457	0.543	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.456	0.543	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.452	0.548	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.449	0.550	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.434	0.565	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.433	0.567	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.427	0.572	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.427	0.572	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.413	0.587	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.411	0.589	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.406	0.594	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.402	0.598	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.397	0.603	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.392	0.608	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.390	0.609	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.388	0.612	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.386	0.613	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.386	0.614	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.378	0.621	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.377	0.623	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.377	0.623	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.373	0.627	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.365	0.635	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.352	0.648	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.351	0.648	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.347	0.653	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.343	0.657	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.340	0.659	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.335	0.664	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.334	0.666	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.334	0.666	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.329	0.671	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.326	0.673	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.324	0.676	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.322	0.678	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.315	0.685	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.312	0.688	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.307	0.693	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.304	0.696	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.302	0.698	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.301	0.699	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.294	0.705	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.283	0.716	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.282	0.718	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.281	0.719	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.277	0.723	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.269	0.731	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.268	0.732	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.260	0.740	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.258	0.742	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.232	0.768	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.231	0.769	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.226	0.774	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.224	0.776	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.218	0.781	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.217	0.783	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.212	0.788	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.204	0.796	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.204	0.796	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.198	0.802	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.196	0.803	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.194	0.806	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.191	0.809	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.188	0.812	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.812	0.187
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.182	0.818	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.178	0.821	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.177	0.823	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.169	0.830	0.001
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.161	0.838	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.145	0.854	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.145	0.854	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.143	0.857	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.862	0.138
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.137	0.863	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.131	0.869	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.128	0.872	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.119	0.880	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.116	0.883	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.113	0.887	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.112	0.888	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.110	0.889	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	0.892	0.108
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.107	0.893	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.105	0.894	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.102	0.898	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.092	0.907	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.089	0.910	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.087	0.913	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.084	0.916	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.079	0.921	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.077	0.922	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.073	0.927	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.071	0.929	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.070	0.929	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.068	0.932	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.934	0.066
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.065	0.935	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.064	0.936	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	0.940	0.060
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.059	0.941	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.059	0.941	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.057	0.943	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.055	0.944	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.055	0.945	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.050	0.949	0.001
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.049	0.951	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.045	0.955	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.044	0.956	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	0.959	0.041
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.035	0.965	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.035	0.965	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.033	0.967	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.033	0.967	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.027	0.972	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.024	0.975	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	0.024	0.975	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.024	0.976	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.023	0.976	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.978	0.022
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.022	0.978	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.021	0.979	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.019	0.981	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.019	0.981	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.019	0.981	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.017	0.983	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.016	0.983	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.015	0.984	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.015	0.985	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.986	0.014
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.987	0.013
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.012	0.987	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.012	0.988	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.988	0.012
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.010	0.990	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.990	0.010
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.009	0.991	0.000
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rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.001	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	0.999	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	0.999	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.999	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	0.999	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	0.999	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	0.999	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.000	0.999	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	0.999	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.999	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.999	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	0.999	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	0.999	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	0.999	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	0.999	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	0.999	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.999	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	0.999	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.000
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.000	0.999	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	0.999	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.000	1.000	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.000	1.000	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs7203193 lBF = `-0.099666` Chr`16` : `11,641,180`	0.000	1.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5241

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1874

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0766

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.0731

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9975

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9607

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9600

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9461

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9370

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9259

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9215

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9195

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9191

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9062

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8947

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8874

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8869

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8721

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8661

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8547

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8544

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8515

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8450

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8389

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8293

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8291

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8206

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8179

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8156

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8125

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8124

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8042

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7954

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7953

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7918

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7913

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7893

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7862

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7835

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7810

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7775

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7682

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7643

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7570

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7513

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.7496

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7408

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7397

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7387

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7329

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7260

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7177

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7167

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7166

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7164

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7163

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7162

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7162

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7161

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7161

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7158

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7157

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7156

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7156

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7152

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7150

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7149

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7139

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7137

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7135

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7132

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7131

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7129

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7129

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7126

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7120

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7120

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7118

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7115

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7111

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7102

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7097

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7094

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7086

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7084

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7083

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7074

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7070

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6999

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6998

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6997

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6957

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6954

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6945

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6927

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6920

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6919

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6916

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6905

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6892

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6890

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6875

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6849

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6841

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6795

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6776

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6727

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6706

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6704

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6651

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6647

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6630

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6597

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6590

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6546

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6536

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6480

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.6441

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6423

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6412

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6410

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6401

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6381

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6266

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6209

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.6025

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6022

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5970

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5969

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5710

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5703

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5640

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5613

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5591

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5589

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5577

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5573

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5547

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5539

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5506

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5435

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5270

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5244

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5215

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5133

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4989

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4950

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4938

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4831

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4793

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4759

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4703

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4676

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4628

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4605

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4537

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4522

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4493

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4430

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4385

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4319

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4300

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.4266

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4204

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4194

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4189

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4168

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4151

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4150

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4131

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3803

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3677

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3675

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3651

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3630

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3453

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3423

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3421

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3416

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3324

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3312

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3145

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3012

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2902

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2868

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2827

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2769

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2738

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2724

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2692

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2465

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2372

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2236

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2203

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2048

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2032

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1712

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1416

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1397

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1396

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1377

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1367

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1339

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1220

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1155

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1100

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0782

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0697

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.0638

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0510

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`)