TreeWAS – [C26] Malignant neoplasm of other and ill-defined digestive organs

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C26

Malignant neoplasm of other and ill-defined digestive organs

Parent term	C15-C26 Malignant neoplasms of digestive organs
Nested terms	C26.0 Intestinal tract, part unspecified C26.1 Spleen C26.8 Overlapping lesion of digestive system C26.9 Ill-defined sites within the digestive system

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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
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.849	0.151	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.814	0.186	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.784	0.216	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.783	0.217	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.782	0.218	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.767	0.233	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.746	0.253	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.745	0.255	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.741	0.259	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.738	0.262	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.734	0.266	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.723	0.277	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.721	0.279	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.720	0.280	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.716	0.284	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.706	0.294	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.705	0.295	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.681	0.319	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.678	0.322	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.674	0.326	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.674	0.326	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.673	0.327	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.672	0.328	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.672	0.328	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.668	0.332	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.667	0.333	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.664	0.336	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.657	0.343	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.656	0.344	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.651	0.349	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.645	0.355	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.644	0.356	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.637	0.363	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.631	0.368	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.631	0.369	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.624	0.376	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.624	0.376	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.622	0.378	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.622	0.378	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.609	0.391	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.601	0.399	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.601	0.399	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.597	0.403	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.596	0.404	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.584	0.416	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.582	0.418	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.575	0.425	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.574	0.426	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.563	0.437	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.555	0.445	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.553	0.447	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.546	0.454	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.540	0.460	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.518	0.482	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.516	0.484	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.514	0.486	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.513	0.486	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.512	0.487	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.512	0.488	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.501	0.499	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.458	0.541	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.457	0.543	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.451	0.549	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.552	0.448
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.448	0.552	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.446	0.554	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.442	0.558	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.437	0.562	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.437	0.563	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.437	0.563	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.435	0.565	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.430	0.570	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.429	0.571	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.425	0.575	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.422	0.578	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.413	0.587	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.409	0.591	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.399	0.601	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.393	0.607	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.387	0.613	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.387	0.613	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.386	0.614	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.375	0.625	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.637	0.363
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.358	0.642	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.357	0.643	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.357	0.643	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.341	0.659	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.337	0.662	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.333	0.667	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.329	0.671	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.325	0.675	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.320	0.680	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.319	0.681	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.311	0.689	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.297	0.703	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.283	0.717	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.281	0.719	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.280	0.720	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.272	0.727	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.268	0.732	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.266	0.734	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.265	0.734	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.265	0.735	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.255	0.744	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.253	0.747	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.247	0.753	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.224	0.776	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.781	0.218
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.787	0.213
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.206	0.794	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.198	0.802	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.169	0.831	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.164	0.835	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.162	0.837	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.158	0.842	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.148	0.851	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.137	0.863	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.132	0.867	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.129	0.871	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.128	0.872	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.118	0.882	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.115	0.885	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.111	0.889	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	0.894	0.106
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.092	0.905	0.002
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	0.910	0.090
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.089	0.911	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.088	0.912	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.087	0.913	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.082	0.918	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.079	0.920	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.078	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.076	0.924	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.074	0.926	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.073	0.927	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.067	0.933	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.065	0.935	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.064	0.935	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.062	0.938	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.062	0.938	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.057	0.943	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.056	0.944	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.053	0.947	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	0.949	0.051
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.048	0.951	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.046	0.954	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.001	0.959	0.040
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.039	0.961	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.037	0.962	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.036	0.964	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	0.964	0.036
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.035	0.965	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.004	0.965	0.030
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.034	0.966	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.032	0.966	0.001
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.026	0.974	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.975	0.025
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.025	0.975	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.024	0.976	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.024	0.976	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	0.978	0.022
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.022	0.978	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	0.979	0.021
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.017	0.980	0.003
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.019	0.981	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	0.982	0.018
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.017	0.983	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.016	0.984	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.016	0.984	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.001	0.984	0.015
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.015	0.985	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.006	0.985	0.008
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	0.986	0.014
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.013	0.986	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.011	0.987	0.002
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.012	0.987	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.005	0.987	0.008
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.012	0.987	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.001	0.988	0.011
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.012	0.988	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.012	0.988	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.011	0.988	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	0.989	0.011
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.007	0.989	0.003
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	0.990	0.010
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	0.991	0.009
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.002	0.991	0.007
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.991	0.009
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.009	0.991	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.008	0.992	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.008	0.992	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.005	0.992	0.003
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.008	0.992	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.003	0.993	0.005
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.003	0.993	0.005
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.003	0.993	0.005
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.002	0.993	0.005
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.002	0.993	0.005
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rs4485401 lBF = `-0.092486` Chr`16` : `76,566,157`	0.000	0.999	0.001
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.001	0.999	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.001	0.999	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.001	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	0.999	0.001
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.999	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	0.999	0.001
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.001	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.000	0.999	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	0.999	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	0.999	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.999	0.000
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.000	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.000	0.999	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.001	0.999	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	0.999	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.999	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	0.999	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	0.999	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	0.999	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	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 X0027

log Bayes Factor = 25.8087

contains 2 variants

0.8141

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6707

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.6098

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3294

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2659

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9980

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.9971

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9970

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9964

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9918

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9897

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9814

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9813

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9737

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9716

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9632

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9627

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9583

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9577

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9574

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9530

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9491

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9487

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9444

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9426

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9390

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9387

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9361

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9360

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9357

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9343

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9343

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9229

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9207

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9185

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9167

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9162

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9136

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9105

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9100

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9092

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9084

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9076

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9074

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9061

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9060

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9039

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9035

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9015

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9014

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9003

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8871

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8827

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8804

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8801

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8793

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8789

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8766

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8739

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8723

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8714

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8640

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8622

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8597

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8579

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8492

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8485

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8475

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8473

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8471

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8433

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8392

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8385

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8377

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8359

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8263

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8248

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8245

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8216

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8198

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8193

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8159

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8142

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8138

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8135

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8066

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8004

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7996

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7969

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7960

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7930

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7892

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7882

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7871

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7870

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7815

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7811

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7794

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7787

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7786

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7753

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7726

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7709

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7705

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7701

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7693

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7686

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7677

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7671

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7618

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7601

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7577

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7573

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7563

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7534

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7531

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7523

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7450

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7434

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7310

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7282

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7203

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7187

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7075

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7013

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6991

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6982

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6972

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6927

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6904

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6903

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6885

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6880

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6871

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6848

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6734

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6506

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6488

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6488

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6374

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6310

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6183

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6171

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6112

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6009

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5896

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5835

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5800

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5775

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5646

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5615

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5555

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5504

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5432

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5415

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5404

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.5379

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5368

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5317

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5306

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5275

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5165

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5139

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5134

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5118

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5102

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4935

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4799

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4630

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4555

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4533

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4527

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4496

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4345

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4249

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4063

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4053

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3817

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3447

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3369

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3142

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3056

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2882

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2644

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2643

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2580

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2244

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2201

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2156

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1761

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1545

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1485

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1220

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0995

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0636

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0550

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0546

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`)