TreeWAS – [J63] Pneumoconiosis due to other inorganic dusts

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

J63

Pneumoconiosis due to other inorganic dusts

Parent term	J60-J70 Lung diseases due to external agents
Nested terms	J63.0 Aluminosis (of lung) J63.1 Bauxite fibrosis (of lung) J63.2 Berylliosis J63.3 Graphite fibrosis (of lung) J63.4 Siderosis J63.5 Stannosis J63.8 Pneumoconiosis due to other specified inorganic dusts

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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
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.691	0.309	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.680	0.320	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.664	0.335	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.645	0.355	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.634	0.366	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.631	0.369	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.628	0.372	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.626	0.374	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.594	0.406	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.587	0.413	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.585	0.415	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.584	0.416	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.578	0.422	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.577	0.423	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.573	0.427	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.569	0.431	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.569	0.431	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.566	0.433	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.558	0.442	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.548	0.452	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.454	0.546
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.545	0.455	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.543	0.457	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.543	0.457	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.539	0.461	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.536	0.464	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.536	0.464	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.532	0.468	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.530	0.469	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.530	0.470	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.529	0.471	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.529	0.471	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.526	0.473	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.526	0.474	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.521	0.479	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.520	0.480	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.518	0.482	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.517	0.483	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.511	0.489	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.511	0.489	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.510	0.489	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.509	0.490	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.509	0.491	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.509	0.491	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.508	0.492	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.507	0.493	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.504	0.496	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.504	0.496	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.504	0.496	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.501	0.499	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.501	0.499	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.496	0.503	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.496	0.504	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.495	0.504	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.489	0.510	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.484	0.516	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.482	0.518	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.481	0.519	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.480	0.520	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.475	0.524	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.474	0.526	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.468	0.532	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.468	0.532	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.467	0.532	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.465	0.534	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.464	0.536	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.463	0.537	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.453	0.546	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.452	0.548	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.448	0.552	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.447	0.553	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.446	0.554	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.446	0.554	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.442	0.558	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.442	0.558	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.440	0.560	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.440	0.560	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.433	0.567	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.430	0.570	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.430	0.570	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.424	0.576	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.422	0.578	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.421	0.578	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.419	0.581	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.419	0.581	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.416	0.583	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.413	0.587	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.412	0.588	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.410	0.590	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.409	0.590	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.405	0.594	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.398	0.601	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.397	0.603	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.395	0.604	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.393	0.607	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.378	0.622	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.375	0.624	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.354	0.645	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.354	0.646	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.353	0.647	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.353	0.647	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.351	0.649	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.349	0.651	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.346	0.653	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.345	0.654	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.324	0.676	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.313	0.686	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.312	0.688	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.309	0.691	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.305	0.695	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.294	0.705	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.254	0.746	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.254	0.746	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.248	0.751	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.244	0.756	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.241	0.759	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.239	0.761	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.231	0.769	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.209	0.791	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.204	0.796	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.183	0.817	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.174	0.825	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.172	0.828	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.162	0.837	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.155	0.845	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.152	0.847	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.141	0.859	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.131	0.868	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.126	0.874	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.115	0.884	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.114	0.886	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.105	0.895	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.090	0.910	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.089	0.911	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.088	0.912	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.087	0.913	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.087	0.913	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.086	0.914	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.082	0.917	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.081	0.919	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.077	0.923	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.076	0.924	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.072	0.927	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.072	0.928	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.072	0.928	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.063	0.937	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.054	0.946	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.052	0.947	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	0.952	0.047
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.044	0.956	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.044	0.956	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.043	0.957	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.040	0.959	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	0.963	0.037
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.035	0.964	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.035	0.964	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.034	0.966	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.034	0.966	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	0.966	0.033
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.969	0.030
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.030	0.969	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.029	0.971	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.025	0.974	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.024	0.975	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.024	0.976	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.020	0.980	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.020	0.980	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.017	0.982	0.001
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.017	0.983	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.985	0.015
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.013	0.986	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.012	0.988	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.012	0.988	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.011	0.988	0.001
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	0.988	0.011
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.011	0.989	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.011	0.989	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.010	0.990	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.991	0.009
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.009	0.991	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.009	0.991	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.009	0.991	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.992	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.007	0.993	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.006	0.993	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.006	0.994	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.006	0.994	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	0.994	0.005
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.995	0.005
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.005	0.995	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.995	0.005
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.005	0.995	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.996	0.004
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.004	0.996	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.003	0.996	0.000
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rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	0.999	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	0.999	0.000
rs7191751 lBF = `-0.067992` Chr`16` : `86,304,261`	0.000	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.000
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	0.999	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	0.999	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.000	0.999	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	0.999	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	0.999	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	0.999	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	0.999	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.999	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.999	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.999	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	0.999	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.999	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.000	0.999	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	0.999	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	0.999	0.000
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.000	0.999	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	0.999	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	0.999	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	0.999	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	0.999	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	0.999	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	0.999	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.000	0.999	0.000
rs12926725 lBF = `-0.0235384` Chr`16` : `20,059,677`	0.000	0.999	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	0.999	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	0.999	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	0.999	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	0.999	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	0.999	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	0.999	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	0.999	0.000
rs8047014 lBF = `-0.114118` Chr`16` : `69,135,049`	0.000	0.999	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	1.000	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs247617 lBF = `-0.0487085` Chr`16` : `56,990,716`	0.000	1.000	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	1.000	0.000
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	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

0.5463

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0523

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7167

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7165

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7165

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7164

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7162

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7156

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7155

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7135

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7135

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7135

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7131

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7116

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7114

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7107

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7107

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7104

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7098

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7095

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7083

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7081

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7074

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7071

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7069

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7045

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7040

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7029

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7003

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7000

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6999

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6997

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6992

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6964

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6963

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6954

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6937

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6928

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6924

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6900

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6898

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6890

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6877

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6864

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6859

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6847

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6829

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6829

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6822

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6814

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6803

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6781

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6774

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6766

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6759

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6752

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6713

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6706

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6691

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6684

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6682

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6669

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6633

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6631

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6605

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6598

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6550

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6516

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6507

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6505

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6491

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6472

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6471

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6439

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6431

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6413

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6385

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6366

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6347

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6335

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6303

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6302

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6232

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6216

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6171

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6146

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6105

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6103

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6079

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5963

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5912

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5882

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5879

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5850

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5822

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5789

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5785

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5780

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5758

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5712

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5641

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5637

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5633

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5599

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5598

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5580

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5577

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5574

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5557

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5531

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5524

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5522

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5497

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5492

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5481

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.5477

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5418

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5413

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5403

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5387

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5379

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5377

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5327

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5229

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5184

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5141

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5035

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4967

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4958

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4941

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4938

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4926

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4920

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4882

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4877

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4871

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4842

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4826

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4815

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4785

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4745

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4727

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4724

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4721

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4710

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4691

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4660

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4650

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4633

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4521

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4482

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4470

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4424

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4403

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4400

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4397

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4278

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4275

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4264

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4165

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4102

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4087

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4066

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4030

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3853

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3829

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3792

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3723

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3689

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3638

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3527

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3526

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3423

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3357

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3254

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3126

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3109

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3020

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2983

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2818

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2730

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2702

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2675

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2650

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2603

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2372

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2203

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1968

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1808

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1579

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.1476

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1424

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0917

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0700

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0676

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0545

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`)