TreeWAS – [J41] Simple and mucopurulent chronic bronchitis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

J41

Simple and mucopurulent chronic bronchitis

Parent term	J40-J47 Chronic lower respiratory diseases
Nested terms	J41.0 Simple chronic bronchitis J41.1 Mucopurulent chronic bronchitis J41.8 Mixed simple and mucopurulent chronic bronchitis

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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
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.854	0.146	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.847	0.153	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.717	0.283	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.717	0.283	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.717	0.283	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.716	0.284	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.715	0.285	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.711	0.289	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.707	0.293	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.703	0.296	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.702	0.298	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.698	0.302	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.692	0.308	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.686	0.314	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.677	0.323	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.676	0.324	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.674	0.326	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.661	0.338	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.656	0.344	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.636	0.364	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.633	0.367	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.620	0.380	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.609	0.391	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.609	0.391	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.602	0.398	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.586	0.414	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.579	0.421	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.572	0.428	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.569	0.431	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.566	0.434	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.564	0.436	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.561	0.439	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.548	0.452	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.547	0.453	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.544	0.456	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.459	0.541
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.519	0.481	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.499	0.501	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.494	0.506	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.487	0.513	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.484	0.516	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.466	0.534	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.464	0.536	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	0.546	0.454
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.452	0.547	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.446	0.554	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.443	0.557	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.435	0.564	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.435	0.565	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.432	0.568	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.429	0.571	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.426	0.574	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.421	0.579	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.416	0.583	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	0.589	0.411
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.409	0.591	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.405	0.595	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.388	0.612	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.385	0.615	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.379	0.621	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.365	0.635	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.349	0.651	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.345	0.654	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.344	0.656	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.329	0.671	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.328	0.672	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.328	0.672	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.316	0.684	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.314	0.686	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.313	0.687	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.297	0.703	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.292	0.708	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.288	0.712	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.288	0.712	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.287	0.713	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	0.716	0.284
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.271	0.729	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	0.730	0.270
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.267	0.733	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.261	0.739	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.259	0.741	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.239	0.761	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.229	0.771	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.223	0.777	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.218	0.782	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.215	0.782	0.003
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.214	0.786	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.213	0.787	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.211	0.789	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.210	0.790	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.204	0.795	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.201	0.799	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.197	0.803	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.193	0.807	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.190	0.810	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.182	0.818	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.178	0.822	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.177	0.823	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.170	0.830	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.170	0.830	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.163	0.836	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.155	0.845	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.155	0.845	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.151	0.848	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.150	0.850	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.148	0.852	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.131	0.869	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.130	0.869	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.128	0.872	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.125	0.875	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.117	0.883	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.112	0.887	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.112	0.888	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.889	0.111
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.103	0.897	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.102	0.898	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.099	0.901	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.097	0.902	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.095	0.905	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.095	0.905	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.094	0.906	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.094	0.906	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.093	0.907	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.084	0.916	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.084	0.916	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.083	0.917	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.083	0.917	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.077	0.923	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.925	0.074
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.073	0.927	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.065	0.935	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.062	0.938	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.062	0.938	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.061	0.938	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	0.939	0.061
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.060	0.940	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.060	0.940	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	0.942	0.058
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.057	0.943	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.053	0.947	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.052	0.948	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.049	0.951	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.047	0.952	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	0.955	0.045
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.956	0.043
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.042	0.958	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.038	0.962	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.037	0.962	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.033	0.967	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.033	0.967	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.031	0.969	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.031	0.969	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.029	0.970	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.029	0.970	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.029	0.971	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	0.972	0.028
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	0.973	0.027
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.974	0.026
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.025	0.974	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.020	0.980	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.019	0.981	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.981	0.019
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.018	0.982	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.018	0.982	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.015	0.985	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.015	0.985	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.015	0.985	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.014	0.986	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.013	0.987	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	0.987	0.013
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.012	0.988	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.988	0.012
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.011	0.988	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.011	0.989	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.010	0.989	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.010	0.990	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.009	0.991	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.000	0.991	0.009
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.008	0.991	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.008	0.991	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.992	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.008	0.992	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.007	0.993	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.993	0.007
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.006	0.993	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.993	0.001
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.994	0.006
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	0.994	0.006
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.005	0.995	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	0.995	0.005
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.005	0.995	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.005	0.995	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.005	0.995	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.005	0.995	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.004	0.995	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	0.996	0.004
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.996	0.004
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.004	0.996	0.000
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rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.996	0.000
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rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	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
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	1.000	0.000
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	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
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	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
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs8064100 lBF = `-0.074714` Chr`16` : `56,725,173`	0.000	1.000	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.000	1.000	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	1.000	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	1.000	0.000
rs6563943 lBF = `-0.0859058` Chr`16` : `83,639,335`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	1.000	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	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
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	1.000	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	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
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	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 X0282

log Bayes Factor = 38.0098

contains 3 variants

0.7268

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.6619

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5406

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.5153

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.8524

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8373

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8157

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7435

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.7205

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7169

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7169

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7166

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7165

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7165

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7164

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7162

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7161

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7159

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7150

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7131

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7061

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7034

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6994

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6985

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6981

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6899

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6820

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.6685

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6666

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6639

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6591

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6556

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6522

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6509

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6506

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6505

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6396

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6301

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6114

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6031

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5965

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5883

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5723

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5705

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5686

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5631

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5557

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5510

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5261

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5190

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5174

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5141

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5037

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4934

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4672

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4621

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4215

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4017

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3917

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3534

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3335

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3093

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3008

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2797

Cluster X0215

log Bayes Factor = 82.541

contains 5 variants

0.2782

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2724

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2663

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2546

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2448

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2326

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2216

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2146

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2038

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2007

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1938

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1780

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1765

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1764

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1419

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0976

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0903

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0836

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0777

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0775

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0761

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0710

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0687

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0676

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0666

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0632

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0605

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0546

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0519

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`)