TreeWAS – [S12.20] Fracture of other specified cervical vertebra (closed)

Variant effects

Click on a variant to see its association results.

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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
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.795	0.205	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.773	0.227	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.756	0.244	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.751	0.249	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.739	0.261	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.733	0.267	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.732	0.267	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.722	0.278	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.716	0.284	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.716	0.284	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.301	0.698
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.682	0.318	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.673	0.327	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.664	0.336	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.659	0.341	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.658	0.342	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.349	0.651
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.633	0.367	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.630	0.370	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.628	0.372	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.627	0.372	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.618	0.382	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.614	0.386	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.612	0.388	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.612	0.388	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.612	0.388	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.612	0.388	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.612	0.388	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.610	0.390	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.603	0.397	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.594	0.406	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.594	0.406	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.588	0.412	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.586	0.414	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.584	0.416	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.581	0.419	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.578	0.422	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.577	0.423	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.576	0.424	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.575	0.425	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.573	0.427	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.569	0.431	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.568	0.432	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.560	0.440	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.559	0.441	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.558	0.442	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.555	0.445	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.554	0.446	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.550	0.450	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.550	0.450	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.548	0.452	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.544	0.456	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.542	0.458	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.541	0.459	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.541	0.459	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.539	0.461	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.539	0.461	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.536	0.464	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.536	0.464	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.535	0.465	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.532	0.468	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.531	0.469	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.530	0.470	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.530	0.470	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.529	0.471	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.529	0.471	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.527	0.473	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.527	0.473	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.526	0.474	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.525	0.475	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.525	0.475	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.524	0.476	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.522	0.478	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.520	0.480	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.518	0.482	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.517	0.483	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.516	0.484	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.515	0.485	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.514	0.486	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.514	0.486	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.514	0.486	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.513	0.487	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.513	0.487	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.513	0.487	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.512	0.488	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.512	0.488	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.512	0.488	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.511	0.489	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.510	0.490	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.509	0.491	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.509	0.491	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.509	0.491	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.508	0.492	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.507	0.493	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.505	0.495	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.503	0.497	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.502	0.498	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.500	0.500	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.500	0.500	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.500	0.500	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.499	0.501	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.499	0.501	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.499	0.501	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.499	0.501	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.498	0.502	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.497	0.503	0.000
rs10910018 lBF = `1.39832` Chr`1` : `3,651,409`	0.495	0.505	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.494	0.506	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.493	0.506	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.493	0.507	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.492	0.508	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.490	0.510	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.490	0.510	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.490	0.510	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.489	0.511	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.489	0.511	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.488	0.511	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.488	0.512	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.487	0.513	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.487	0.513	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.486	0.514	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.486	0.514	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.486	0.514	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.485	0.515	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.485	0.515	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.485	0.515	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.484	0.516	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.484	0.516	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.483	0.517	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.483	0.517	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.483	0.517	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.483	0.517	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.482	0.518	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.482	0.518	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.482	0.518	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.481	0.519	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.479	0.521	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.478	0.522	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.478	0.522	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.478	0.522	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.478	0.522	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.478	0.522	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.477	0.522	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.477	0.523	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.477	0.523	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.476	0.524	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.474	0.526	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.474	0.526	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.473	0.526	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.473	0.527	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.472	0.528	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.472	0.528	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.471	0.529	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.470	0.530	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.470	0.530	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.469	0.531	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.469	0.531	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.468	0.532	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.468	0.532	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.468	0.532	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.467	0.532	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.467	0.533	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.467	0.533	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.467	0.533	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.466	0.534	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.465	0.535	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.464	0.536	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.464	0.536	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.464	0.536	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.464	0.536	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.463	0.536	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.463	0.537	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.462	0.538	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.461	0.539	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.461	0.539	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.460	0.540	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.460	0.540	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.460	0.540	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.460	0.540	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.460	0.540	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.458	0.542	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.458	0.542	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.458	0.542	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.458	0.542	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.456	0.544	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.456	0.544	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.456	0.544	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.455	0.545	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.455	0.545	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.454	0.546	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.453	0.546	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.453	0.546	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.453	0.547	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.452	0.548	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.451	0.549	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.451	0.549	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.451	0.549	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.450	0.550	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.450	0.550	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.450	0.550	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.450	0.550	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.450	0.550	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.449	0.551	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.449	0.551	0.000
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rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.398	0.602	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.398	0.602	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.398	0.602	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.398	0.602	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.398	0.602	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.398	0.602	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.398	0.602	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.398	0.602	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.398	0.602	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.398	0.602	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.397	0.603	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.397	0.603	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.397	0.603	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.397	0.603	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.397	0.603	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.397	0.603	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.397	0.603	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.396	0.604	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.396	0.604	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.396	0.604	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.396	0.604	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.395	0.604	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.395	0.605	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.395	0.605	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.395	0.605	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.395	0.605	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.394	0.605	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.394	0.605	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.394	0.606	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.394	0.606	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.394	0.606	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.394	0.606	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.394	0.606	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.394	0.606	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.394	0.606	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.393	0.607	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.393	0.607	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.393	0.607	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.393	0.607	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.393	0.607	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.392	0.608	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.392	0.608	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.392	0.608	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.392	0.608	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.391	0.609	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.391	0.609	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.391	0.609	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.391	0.609	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.391	0.609	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.391	0.609	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.391	0.609	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.390	0.609	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.390	0.609	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.390	0.609	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.390	0.610	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.390	0.610	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.390	0.610	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.390	0.610	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.390	0.610	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.390	0.610	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.390	0.610	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.390	0.610	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.390	0.610	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.389	0.610	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.389	0.610	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.389	0.611	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.389	0.611	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.388	0.611	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.388	0.611	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.388	0.611	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.388	0.612	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.388	0.612	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.388	0.612	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.388	0.612	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.388	0.612	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.388	0.612	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.387	0.612	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.387	0.613	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.387	0.613	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.387	0.613	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.387	0.613	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.387	0.613	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.387	0.613	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.386	0.613	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.386	0.614	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.386	0.614	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.386	0.614	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.386	0.614	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.386	0.614	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.386	0.614	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.386	0.614	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.386	0.614	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.385	0.614	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.385	0.614	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.385	0.615	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

0.2307

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1816

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9905

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9763

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9655

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9650

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9638

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9570

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9485

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9397

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9338

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9211

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9191

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9177

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9154

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9111

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9086

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9052

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9018

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8979

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8944

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8938

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8874

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8839

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8764

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8733

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8697

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8675

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8382

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8361

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8205

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8104

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.8084

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7960

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7922

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7806

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7805

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7729

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7716

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7672

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7584

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7543

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7537

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7415

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7376

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7306

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7304

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7230

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7203

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7171

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7075

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7029

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6986

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6944

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6870

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6755

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6643

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6566

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6563

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6548

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6524

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6512

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6490

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6382

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6378

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6374

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6360

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6331

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6257

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6232

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6119

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6101

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6093

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6079

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6012

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6010

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5879

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5841

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5814

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5798

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5749

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5732

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5726

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5635

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5628

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5628

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5615

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5606

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5592

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5555

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5531

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5452

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5446

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5394

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5384

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5363

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5233

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5202

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5194

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5161

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5102

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5037

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4972

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4918

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4903

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4880

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4843

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4794

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4788

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4782

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4782

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4759

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4673

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4613

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4567

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4541

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4512

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4506

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4468

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4360

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4354

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4340

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4246

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4216

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4175

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4170

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4044

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3921

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3905

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3886

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3847

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3836

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3811

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3796

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3781

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3778

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3751

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3745

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3653

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3653

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3651

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3634

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3521

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3498

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3397

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3241

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3220

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3172

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3160

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3158

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3145

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3129

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3122

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3120

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3076

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3059

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3040

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3030

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3026

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3025

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2996

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2938

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2895

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2822

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2821

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2803

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2785

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2771

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2749

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2683

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2643

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2643

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2642

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2598

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2594

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2545

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2475

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2435

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2366

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2360

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2334

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2258

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2214

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2213

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2183

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2179

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1950

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1790

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1627

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1625

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1623

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1590

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1590

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1583

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1110

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1062

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1058

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1024

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0987

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0921

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0788

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0743

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0662

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0652

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0534

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0508

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)