TreeWAS – [A49.3] Mycoplasma infection, unspecified

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
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.703	0.297	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.695	0.305	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.691	0.309	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.691	0.309	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.689	0.310	0.000
rs202072 lBF = `1.37103` Chr`6` : `13,268,211`	0.000	0.312	0.688
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.684	0.316	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.684	0.316	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.682	0.318	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.682	0.318	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.682	0.318	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.681	0.319	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.679	0.321	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.679	0.321	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.677	0.322	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.677	0.322	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.673	0.327	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.672	0.328	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.671	0.328	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.671	0.329	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.671	0.329	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.671	0.329	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.668	0.331	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.668	0.332	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.668	0.332	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.668	0.332	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.667	0.333	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.665	0.334	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.664	0.336	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.663	0.336	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.663	0.337	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.662	0.338	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.660	0.340	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.659	0.341	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.658	0.342	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.657	0.343	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.657	0.343	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.655	0.344	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.655	0.345	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.655	0.345	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.655	0.345	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.655	0.345	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.655	0.345	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.654	0.346	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.654	0.346	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.654	0.346	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.653	0.347	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.652	0.348	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.652	0.348	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.652	0.348	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.652	0.348	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.652	0.348	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.651	0.348	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.651	0.349	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.651	0.349	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.651	0.349	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.651	0.349	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.650	0.350	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.649	0.350	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.649	0.351	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.647	0.353	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.646	0.353	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.646	0.354	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.646	0.354	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.645	0.355	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.644	0.355	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.643	0.357	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.642	0.357	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.641	0.359	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.641	0.359	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.640	0.359	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.640	0.360	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.640	0.360	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.640	0.360	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.639	0.361	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.639	0.361	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.638	0.362	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.638	0.362	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.638	0.362	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.637	0.363	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.636	0.363	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.636	0.364	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.634	0.366	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.634	0.366	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.633	0.367	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.632	0.368	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.632	0.368	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.631	0.369	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.630	0.370	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.629	0.371	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.629	0.371	0.000
rs62437750 lBF = `8.76001` Chr`6` : `145,518,570`	0.628	0.372	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.628	0.372	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.627	0.373	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.627	0.373	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.627	0.373	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.626	0.373	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.626	0.373	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.626	0.374	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.626	0.374	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.625	0.374	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.624	0.376	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.624	0.376	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.623	0.376	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.623	0.377	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.623	0.377	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.623	0.377	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.623	0.377	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.623	0.377	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.622	0.378	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.622	0.378	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.621	0.378	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.620	0.379	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.620	0.380	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.618	0.382	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.616	0.383	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.616	0.384	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.616	0.384	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.616	0.384	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.615	0.384	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.615	0.385	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.615	0.385	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.615	0.385	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.614	0.386	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.614	0.386	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.614	0.386	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.614	0.386	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.614	0.386	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.614	0.386	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.613	0.386	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.613	0.386	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.613	0.387	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.613	0.387	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.612	0.388	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.612	0.388	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.612	0.388	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.612	0.388	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.611	0.389	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.609	0.391	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.608	0.392	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.608	0.392	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.608	0.392	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.608	0.392	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.608	0.392	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.607	0.393	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.606	0.393	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.606	0.394	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.606	0.394	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.606	0.394	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.606	0.394	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.606	0.394	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.606	0.394	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.605	0.394	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.605	0.395	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.604	0.396	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.604	0.396	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.604	0.396	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.604	0.396	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.603	0.397	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.603	0.397	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.603	0.397	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.603	0.397	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.602	0.397	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.602	0.398	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.601	0.398	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.601	0.398	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.601	0.399	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.601	0.399	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.601	0.399	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.601	0.399	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.600	0.399	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.600	0.400	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.600	0.400	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.600	0.400	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.600	0.400	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.599	0.401	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.599	0.401	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.599	0.401	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.599	0.401	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.598	0.401	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.598	0.402	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.598	0.402	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.598	0.402	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.597	0.403	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.597	0.403	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.597	0.403	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.596	0.404	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.596	0.404	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.595	0.405	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.595	0.405	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.595	0.405	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.595	0.405	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.594	0.405	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.594	0.406	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.594	0.406	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.594	0.406	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.594	0.406	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.593	0.407	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.593	0.407	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.592	0.407	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.592	0.407	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.592	0.408	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.592	0.408	0.000
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rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.549	0.451	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.549	0.451	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.548	0.452	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.548	0.452	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.548	0.452	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.548	0.452	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.547	0.453	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.547	0.453	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.547	0.453	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.547	0.453	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.546	0.454	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.546	0.454	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.546	0.454	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.546	0.454	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.546	0.454	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.546	0.454	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.546	0.454	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.545	0.455	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.545	0.455	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.545	0.455	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.545	0.455	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.545	0.455	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.545	0.455	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.545	0.455	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.544	0.455	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.544	0.455	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.544	0.455	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.544	0.456	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.544	0.456	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.544	0.456	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.543	0.457	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.543	0.457	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.543	0.457	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.543	0.457	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.543	0.457	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.543	0.457	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.542	0.457	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.542	0.457	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.542	0.458	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.542	0.458	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.542	0.458	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.542	0.458	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.542	0.458	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.542	0.458	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.542	0.458	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.541	0.459	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.541	0.459	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.541	0.459	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.541	0.459	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.541	0.459	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.541	0.459	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.541	0.459	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.541	0.459	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.541	0.459	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.541	0.459	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.541	0.459	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.540	0.460	0.000
rs62402484 lBF = `15.7618` Chr`6` : `21,913,816`	0.540	0.460	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.540	0.460	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.540	0.460	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.539	0.461	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.539	0.461	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.539	0.461	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.539	0.461	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.539	0.461	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.539	0.461	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.539	0.461	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.538	0.462	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.538	0.462	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.537	0.463	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.537	0.463	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.537	0.463	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.536	0.464	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.536	0.464	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.536	0.464	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.535	0.464	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.535	0.464	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.535	0.465	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.535	0.465	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.535	0.465	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.535	0.465	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.535	0.465	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.535	0.465	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.534	0.465	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.534	0.466	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.534	0.466	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.534	0.466	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.534	0.466	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.533	0.466	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.533	0.467	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.533	0.467	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.533	0.467	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.533	0.467	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.532	0.468	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.532	0.468	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.532	0.468	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4193

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2969

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2355

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7168

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7167

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7166

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7166

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7165

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7163

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7161

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7160

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7158

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7158

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7158

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7156

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7154

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7154

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7152

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7147

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7143

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7142

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7138

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7136

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7130

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7127

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7126

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7117

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7114

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7113

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7112

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7111

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7110

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7110

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7103

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7102

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7098

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7093

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7087

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7082

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7053

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7046

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7042

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7034

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7024

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7023

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7003

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7003

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6997

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6990

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6987

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6980

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6980

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6978

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6970

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6967

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6961

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6959

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6954

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6944

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6930

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6930

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6920

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6918

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6911

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6907

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6905

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6896

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6879

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6870

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6869

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6849

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6849

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6848

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6839

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6832

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6831

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6826

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6822

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6809

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6795

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6790

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6787

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6751

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6687

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6679

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6648

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6578

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6575

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6508

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6494

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6493

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6492

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6478

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6463

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6450

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6448

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6392

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6388

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6387

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6385

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6377

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6365

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6360

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6319

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6314

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6293

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6250

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6218

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6175

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6147

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6143

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6100

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6089

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6085

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6069

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6066

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6059

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6031

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5983

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5948

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5931

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5870

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5865

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5855

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5847

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5821

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5814

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5744

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5568

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5517

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5462

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5459

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5454

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5439

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5427

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5338

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5308

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5256

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5180

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5167

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5092

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5033

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4986

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4971

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4956

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4931

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4886

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4835

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4723

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4620

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4493

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4481

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4384

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4337

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4279

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4249

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4072

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4029

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3786

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3698

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3665

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3637

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3594

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3305

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3285

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3255

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3217

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3208

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2995

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2980

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2945

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2816

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2717

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2705

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2423

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2403

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2391

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2334

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2181

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1885

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1879

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1767

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1646

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1635

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1570

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1451

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1424

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1403

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1329

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1287

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1209

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1112

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0972

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0781

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0653

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0547

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0503

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`)