TreeWAS – [H49-H52] Disorders of ocular muscles, binocular movement, accommodation and refraction

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

H49-H52

Disorders of ocular muscles, binocular movement, accommodation and refraction

Parent term	Chapter VII Diseases of the eye and adnexa
Nested terms	H49 Paralytic strabismus H50 Other strabismus H51 Other disorders of binocular movement H52 Disorders of refraction and accommodation

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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
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.975	0.025	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.972	0.028	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.963	0.037	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.953	0.047	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.938	0.062	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.920	0.080	0.000
rs11012167 lBF = `2.68855` Chr`10` : `20,862,401`	0.906	0.094	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.887	0.113	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.876	0.124	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.874	0.126	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.871	0.129	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.860	0.140	0.000
rs4986894 lBF = `2.78295` Chr`10` : `96,522,365`	0.000	0.141	0.859
rs12767583 lBF = `2.62579` Chr`10` : `96,547,463`	0.000	0.148	0.852
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.849	0.151	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.846	0.154	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.845	0.155	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.835	0.165	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.831	0.169	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.827	0.173	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.820	0.180	0.000
rs1074145 lBF = `3.13927` Chr`10` : `96,681,846`	0.000	0.180	0.820
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.814	0.186	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.812	0.188	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.812	0.188	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.810	0.190	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.798	0.202	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.797	0.203	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.796	0.204	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.794	0.206	0.000
rs6583954 lBF = `2.57148` Chr`10` : `96,534,263`	0.000	0.209	0.791
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.782	0.218	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.780	0.220	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.778	0.222	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.777	0.223	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.776	0.224	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.769	0.231	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.765	0.235	0.000
rs12777823 lBF = `1.7707` Chr`10` : `96,405,502`	0.000	0.235	0.765
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.765	0.235	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.760	0.240	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.753	0.247	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.753	0.247	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.750	0.249	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.750	0.250	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.748	0.252	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.747	0.253	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.745	0.255	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.743	0.257	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.742	0.258	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.742	0.258	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.741	0.259	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.740	0.260	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.740	0.260	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.739	0.261	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.739	0.261	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.738	0.262	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.737	0.263	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.733	0.267	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.725	0.274	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.722	0.278	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.721	0.279	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.715	0.285	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.711	0.288	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.703	0.297	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.698	0.302	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.698	0.302	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.694	0.306	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.691	0.309	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.690	0.310	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.685	0.315	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.683	0.317	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.681	0.319	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.675	0.325	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.674	0.325	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.670	0.330	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.665	0.335	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.663	0.337	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.661	0.339	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.659	0.341	0.000
rs78084308 lBF = `9.59773` Chr`10` : `8,984,955`	0.651	0.349	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.649	0.351	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.644	0.356	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.643	0.357	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.642	0.358	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.641	0.359	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.641	0.359	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.638	0.362	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.637	0.363	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.635	0.365	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.634	0.366	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.632	0.368	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.628	0.372	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.624	0.376	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.624	0.376	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.624	0.376	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.623	0.376	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.623	0.377	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.623	0.377	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.622	0.378	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.620	0.380	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.609	0.391	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.609	0.391	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.609	0.391	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.604	0.396	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.604	0.396	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.603	0.396	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.598	0.402	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.595	0.404	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.595	0.405	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.588	0.412	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.586	0.414	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.583	0.417	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.582	0.418	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.582	0.418	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.581	0.419	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.580	0.420	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.580	0.420	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.577	0.422	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.577	0.422	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.572	0.427	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.571	0.429	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.567	0.433	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.566	0.433	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.565	0.435	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.563	0.437	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.558	0.441	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.556	0.444	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.555	0.445	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.549	0.451	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.546	0.454	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.542	0.458	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.536	0.464	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.532	0.468	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.532	0.468	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.527	0.472	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.527	0.472	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.515	0.485	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.507	0.493	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.506	0.493	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.501	0.499	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.493	0.506	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.492	0.508	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.489	0.510	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.480	0.520	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.478	0.522	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.474	0.525	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.473	0.527	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.471	0.529	0.001
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.461	0.539	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.456	0.543	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.452	0.548	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.451	0.549	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.444	0.556	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.442	0.558	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.436	0.564	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.429	0.571	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.424	0.576	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.422	0.578	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.422	0.578	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.418	0.582	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.413	0.587	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.391	0.609	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.386	0.613	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.383	0.617	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.380	0.620	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.374	0.626	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.374	0.626	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.364	0.636	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.363	0.636	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.343	0.657	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.342	0.658	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.342	0.658	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.334	0.665	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.332	0.668	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.329	0.670	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.327	0.673	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.326	0.674	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.311	0.689	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.310	0.690	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.300	0.700	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.296	0.704	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.293	0.707	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.288	0.712	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.276	0.724	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.275	0.725	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.270	0.730	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.264	0.736	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.251	0.749	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.249	0.751	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.241	0.759	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.239	0.761	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.230	0.770	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.230	0.770	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.772	0.227
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.225	0.774	0.000
rs2274224 lBF = `5.64336` Chr`10` : `96,039,597`	0.220	0.780	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.211	0.789	0.000
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rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs185671464 lBF = `0` Chr`10` : `54,486,920`	0.001	0.999	0.001
rs144473309 lBF = `0` Chr`10` : `77,129,161`	0.001	0.999	0.001
rs188724679 lBF = `0` Chr`10` : `135,224,855`	0.001	0.999	0.001
rs78627331 lBF = `0` Chr`10` : `94,812,254`	0.001	0.999	0.001
rs140682412 lBF = `0` Chr`10` : `89,332,706`	0.001	0.999	0.001
rs180858466 lBF = `0` Chr`10` : `38,761,238`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs181666690 lBF = `0` Chr`10` : `28,852,022`	0.001	0.999	0.001
rs183323229 lBF = `0` Chr`10` : `33,168,215`	0.001	0.999	0.001
rs114088342 lBF = `0` Chr`10` : `35,918,232`	0.001	0.999	0.001
rs142973438 lBF = `0` Chr`10` : `95,315,999`	0.001	0.999	0.001
rs190671939 lBF = `0` Chr`10` : `134,909,987`	0.001	0.999	0.001
rs12245299 lBF = `0` Chr`10` : `55,913,700`	0.001	0.999	0.001
rs7072776 lBF = `0` Chr`10` : `22,032,942`	0.001	0.999	0.001
rs79105493 lBF = `0` Chr`10` : `95,475,354`	0.001	0.999	0.001
rs117260820 lBF = `0` Chr`10` : `102,048,643`	0.001	0.999	0.001
rs190045766 lBF = `0` Chr`10` : `120,643,886`	0.001	0.999	0.001
rs12263766 lBF = `0` Chr`10` : `9,996,990`	0.001	0.999	0.001
rs184737911 lBF = `0` Chr`10` : `88,431,292`	0.001	0.999	0.001
rs143988467 lBF = `0` Chr`10` : `95,317,394`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs185636671 lBF = `0` Chr`10` : `135,172,794`	0.001	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs563507 lBF = `-0.0130193` Chr`10` : `34,817,988`	0.001	0.999	0.000
rs7072055 lBF = `0.00542182` Chr`10` : `98,908,733`	0.001	0.999	0.000
rs82625 lBF = `0.00501582` Chr`10` : `115,756,130`	0.001	0.999	0.000
rs41322152 lBF = `0.00001398` Chr`10` : `72,040,805`	0.001	0.999	0.000
rs181778161 lBF = `-0.00000964` Chr`10` : `91,691,500`	0.000	0.999	0.001
rs10508343 lBF = `-0.00003164` Chr`10` : `8,150,713`	0.001	0.999	0.000
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs7092313 lBF = `-0.0273934` Chr`10` : `10,689,602`	0.001	0.999	0.000
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.001	0.999	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.001	0.999	0.000
rs2799573 lBF = `-0.0418406` Chr`10` : `18,601,928`	0.000	0.999	0.001
rs10901513 lBF = `-0.083459` Chr`10` : `127,699,936`	0.001	0.999	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	0.999	0.001
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.001
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs1391511 lBF = `-0.0315357` Chr`10` : `4,719,796`	0.000	0.999	0.001
rs12249434 lBF = `0.00510738` Chr`10` : `118,298,706`	0.001	0.999	0.000
rs4409764 lBF = `6.83681` Chr`10` : `101,284,237`	0.001	0.999	0.000
rs1678618 lBF = `-0.0369254` Chr`10` : `73,806,288`	0.000	0.999	0.001
rs11001819 lBF = `0.279054` Chr`10` : `78,315,224`	0.001	0.999	0.000
rs11190604 lBF = `-0.0595891` Chr`10` : `102,302,457`	0.001	0.999	0.000
rs10509586 lBF = `1.09851` Chr`10` : `91,741,437`	0.001	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.000
rs4748153 lBF = `0.332402` Chr`10` : `6,606,541`	0.001	0.999	0.000
rs10823607 lBF = `0.0203706` Chr`10` : `72,500,763`	0.000	0.999	0.001
rs11014249 lBF = `-0.0921938` Chr`10` : `25,111,910`	0.000	0.999	0.001
rs12241008 lBF = `2.24975` Chr`10` : `114,280,702`	0.000	0.999	0.001
rs3135758 lBF = `1.81643` Chr`10` : `123,277,869`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs2994684 lBF = `0.594283` Chr`10` : `31,366,271`	0.001	0.999	0.000
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.001	0.999	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.001	0.999	0.000
rs2489715 lBF = `2.43101` Chr`10` : `42,917,476`	0.000	0.999	0.001
rs2137920 lBF = `0.0218692` Chr`10` : `50,229,638`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.000
rs6584283 lBF = `4.90848` Chr`10` : `101,290,301`	0.000	0.999	0.001
rs17094222 lBF = `0.413074` Chr`10` : `102,395,440`	0.001	0.999	0.000
rs10748781 lBF = `6.53438` Chr`10` : `101,283,330`	0.000	0.999	0.001
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.001	0.999	0.000
rs61839660 lBF = `2.01175` Chr`10` : `6,094,697`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs4086116 lBF = `-0.0455218` Chr`10` : `96,707,202`	0.001	0.999	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.001	0.999	0.000
rs16916041 lBF = `0.0100045` Chr`10` : `63,146,547`	0.000	0.999	0.001
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs1412115 lBF = `-0.0884655` Chr`10` : `34,088,053`	0.000	0.999	0.001
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.000	0.999	0.000
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.001	0.999	0.000
rs12722605 lBF = `-0.00662718` Chr`10` : `6,053,163`	0.000	0.999	0.001
rs2252996 lBF = `0.218788` Chr`10` : `73,115,942`	0.001	0.999	0.000
rs1480597 lBF = `-0.0261143` Chr`10` : `45,161,109`	0.001	0.999	0.000
rs9804317 lBF = `-0.0348147` Chr`10` : `130,248,926`	0.001	0.999	0.000
rs7915137 lBF = `0.368805` Chr`10` : `84,870,076`	0.000	0.999	0.001
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.001	0.999	0.000
rs7896691 lBF = `0.0463545` Chr`10` : `3,155,173`	0.000	0.999	0.001
rs1907926 lBF = `0.0107681` Chr`10` : `58,339,241`	0.001	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.001	0.999	0.000
rs11190140 lBF = `6.23731` Chr`10` : `101,291,593`	0.001	0.999	0.000
rs10883365 lBF = `5.92769` Chr`10` : `101,287,764`	0.001	0.999	0.000
rs7072122 lBF = `1.45378` Chr`10` : `45,034,672`	0.000	0.999	0.001
rs7894051 lBF = `0.137164` Chr`10` : `135,184,421`	0.001	0.999	0.000
rs17642749 lBF = `-0.00179651` Chr`10` : `119,647,256`	0.000	0.999	0.001
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.000	0.999	0.001
rs10509373 lBF = `-0.110846` Chr`10` : `78,157,572`	0.001	0.999	0.000
rs9663362 lBF = `0.319215` Chr`10` : `95,895,177`	0.001	0.999	0.000
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.001	0.999	0.000
rs2820651 lBF = `0.349566` Chr`10` : `1,471,765`	0.001	0.999	0.000
rs2901286 lBF = `0.0394912` Chr`10` : `122,900,623`	0.000	0.999	0.000
rs4586057 lBF = `-0.0127415` Chr`10` : `92,632,899`	0.000	0.999	0.001
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.001	0.999	0.000
rs2281636 lBF = `-0.0671346` Chr`10` : `101,492,403`	0.000	0.999	0.001
rs9733352 lBF = `-0.0943421` Chr`10` : `128,777,390`	0.000	0.999	0.001
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.001	0.999	0.000
rs1953600 lBF = `3.82886` Chr`10` : `81,911,725`	0.001	0.999	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 X0329

log Bayes Factor = 21.7039

contains 2 variants

0.6940

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

1.0000

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9999

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9999

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9999

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9999

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9997

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9997

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9996

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9994

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9993

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9993

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9993

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9993

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9991

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9991

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9990

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9990

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9990

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9990

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9989

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9989

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9987

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9986

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9986

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9983

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9982

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9982

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9980

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9980

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9979

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9978

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9977

Cluster X0266

log Bayes Factor = 95.1792

contains 5 variants

0.9977

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9970

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9967

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9966

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9960

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9958

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9954

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9946

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9944

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9928

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9917

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9917

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9916

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9915

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9913

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9907

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9902

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9901

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9899

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9897

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9892

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9879

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9874

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9872

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9868

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9865

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9861

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9845

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9840

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9837

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9801

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9797

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9787

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9775

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9766

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9708

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9706

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9706

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9705

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9681

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9650

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9629

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9609

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9602

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9583

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9581

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9565

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9530

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9504

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9502

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9499

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9483

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9426

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9418

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9321

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9314

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9301

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9241

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9236

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9206

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9189

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9157

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9156

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9134

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9126

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9022

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9017

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8991

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8979

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8931

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8930

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8914

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8876

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8872

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8774

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8761

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8714

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8534

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8495

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8477

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8352

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8277

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8274

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8179

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8094

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8081

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8032

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8027

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8025

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7870

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7830

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7774

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7769

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7715

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7524

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7489

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7415

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7397

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7353

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7350

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7348

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7345

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7310

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7301

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7247

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7224

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7214

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7011

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6939

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6868

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6747

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6650

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6321

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6313

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6234

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.6180

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6083

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5841

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5834

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5809

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5686

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5624

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5579

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5485

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5473

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5386

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5382

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5313

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5295

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5240

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5220

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5183

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5105

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4958

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4741

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4381

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4322

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4261

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4217

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3865

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3847

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3826

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3739

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3668

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3645

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3513

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3422

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3368

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3156

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2963

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2875

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2741

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2569

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2566

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2480

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2462

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2321

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2148

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2050

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1626

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1519

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1060

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0843

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0812

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0694

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0627

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0623

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0608

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0569

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`)