TreeWAS – [E27.1] Primary adrenocortical insufficiency

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
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.719	0.281	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.711	0.289	0.000
rs11598494 lBF = `8.70863` Chr`10` : `6,178,941`	0.000	0.301	0.699
rs947474 lBF = `1.84287` Chr`10` : `6,390,450`	0.673	0.327	0.000
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.668	0.332	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.659	0.341	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.650	0.350	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.643	0.357	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.632	0.368	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.625	0.375	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.623	0.377	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.619	0.381	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.607	0.393	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.602	0.398	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.601	0.399	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.577	0.423	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.566	0.434	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.566	0.434	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.566	0.434	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.561	0.439	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.556	0.444	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.552	0.448	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.536	0.464	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.532	0.468	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.527	0.473	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.524	0.476	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.522	0.478	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.520	0.480	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.518	0.482	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.511	0.489	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.510	0.490	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.501	0.498	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.493	0.507	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.493	0.507	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.490	0.510	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.488	0.511	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.483	0.517	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.482	0.518	0.000
rs7090530 lBF = `13.9535` Chr`10` : `6,110,875`	0.000	0.522	0.478
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.475	0.524	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.464	0.536	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.463	0.537	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.456	0.543	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.450	0.550	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.447	0.553	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.446	0.554	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.442	0.558	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.441	0.559	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.438	0.562	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.437	0.563	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.435	0.564	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.432	0.568	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.430	0.570	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.429	0.571	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.425	0.574	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.423	0.576	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.423	0.577	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.422	0.578	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.419	0.581	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.418	0.582	0.000
rs71508903 lBF = `11.3778` Chr`10` : `63,779,871`	0.411	0.589	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.411	0.589	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.409	0.590	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.409	0.591	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.408	0.591	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.408	0.592	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.408	0.592	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.407	0.593	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.405	0.595	0.000
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.000	0.596	0.404
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.403	0.596	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.402	0.598	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.400	0.599	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.400	0.600	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.391	0.609	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.390	0.609	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.390	0.610	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.389	0.610	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.384	0.616	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.382	0.618	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.382	0.618	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.381	0.618	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.379	0.620	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.379	0.620	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.378	0.622	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.378	0.622	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.377	0.623	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.372	0.627	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.370	0.630	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.370	0.630	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.369	0.630	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.369	0.631	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.364	0.636	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.360	0.640	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.358	0.641	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.357	0.642	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.358	0.642	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.356	0.644	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.356	0.644	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.349	0.650	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.346	0.653	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.346	0.654	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.341	0.658	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.337	0.662	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.337	0.663	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.334	0.666	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.332	0.668	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.326	0.674	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.325	0.675	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.321	0.679	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.318	0.682	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.313	0.686	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.312	0.688	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.312	0.688	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.308	0.692	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.308	0.692	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.308	0.692	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.307	0.693	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.305	0.695	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.305	0.695	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.303	0.696	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.301	0.699	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.301	0.699	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.300	0.700	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.296	0.703	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.296	0.704	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.293	0.707	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.291	0.709	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.289	0.711	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.287	0.713	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.287	0.713	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.285	0.714	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.285	0.715	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.282	0.718	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.281	0.718	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.277	0.723	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.277	0.723	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.273	0.727	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.270	0.730	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.269	0.731	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.265	0.734	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.262	0.738	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.260	0.739	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.260	0.740	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.257	0.743	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.256	0.744	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.238	0.762	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.235	0.765	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.233	0.767	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.226	0.774	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.225	0.775	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.225	0.775	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.220	0.780	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.217	0.783	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.211	0.789	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.209	0.791	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.206	0.794	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.206	0.794	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.204	0.795	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.203	0.797	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.203	0.797	0.000
rs61839660 lBF = `2.01175` Chr`10` : `6,094,697`	0.000	0.802	0.198
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.197	0.803	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.197	0.803	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.193	0.807	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.192	0.808	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.190	0.810	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.190	0.810	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.189	0.811	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.178	0.822	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.177	0.823	0.000
rs1665650 lBF = `0.0303748` Chr`10` : `118,487,100`	0.000	0.825	0.175
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.174	0.826	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.173	0.827	0.001
rs2624681 lBF = `25.5143` Chr`10` : `44,677,301`	0.000	0.829	0.171
rs706779 lBF = `18.2692` Chr`10` : `6,098,824`	0.000	0.831	0.169
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.168	0.832	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.166	0.834	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.165	0.835	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.161	0.838	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.160	0.840	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.160	0.840	0.001
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.156	0.843	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.155	0.845	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.149	0.851	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.851	0.148
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.148	0.851	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.147	0.853	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.147	0.853	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.145	0.855	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.144	0.855	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.138	0.861	0.001
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.136	0.864	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.136	0.864	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.131	0.869	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.131	0.869	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.128	0.871	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.127	0.873	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.126	0.873	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.125	0.875	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.123	0.877	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.122	0.877	0.000
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rs7900909 lBF = `-0.0761764` Chr`10` : `66,448,472`	0.002	0.998	0.000
rs1997066 lBF = `0.0101851` Chr`10` : `106,763,563`	0.002	0.998	0.000
rs1746049 lBF = `13.6931` Chr`10` : `44,776,310`	0.000	0.998	0.002
rs7087591 lBF = `13.617` Chr`10` : `94,473,629`	0.002	0.998	0.000
rs12356492 lBF = `13.57` Chr`10` : `9,038,357`	0.002	0.998	0.000
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.000	0.998	0.002
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs12767760 lBF = `-0.0429143` Chr`10` : `99,294,797`	0.000	0.998	0.002
rs2675609 lBF = `0.745021` Chr`10` : `63,636,531`	0.000	0.998	0.002
rs79802331 lBF = `7.89544` Chr`10` : `105,603,920`	0.000	0.998	0.002
rs7923837 lBF = `13.9558` Chr`10` : `94,481,917`	0.002	0.998	0.000
rs7896518 lBF = `0.170345` Chr`10` : `65,104,500`	0.000	0.998	0.002
rs7914606 lBF = `-0.0169026` Chr`10` : `85,105,609`	0.002	0.998	0.000
rs7098785 lBF = `-0.0946047` Chr`10` : `98,417,930`	0.002	0.998	0.000
rs28643277 lBF = `-0.102071` Chr`10` : `15,600,671`	0.000	0.998	0.002
rs4948496 lBF = `-0.0263823` Chr`10` : `63,805,617`	0.002	0.998	0.000
rs11014306 lBF = `-0.0479017` Chr`10` : `25,224,462`	0.002	0.998	0.000
rs2104286 lBF = `0.0292395` Chr`10` : `6,099,045`	0.000	0.998	0.002
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.000	0.998	0.001
rs2070677 lBF = `-0.038347` Chr`10` : `135,351,174`	0.000	0.998	0.001
rs2070676 lBF = `-0.0388763` Chr`10` : `135,351,137`	0.000	0.998	0.001
rs9421748 lBF = `-0.073187` Chr`10` : `48,499,271`	0.000	0.998	0.002
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.001	0.998	0.000
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.001	0.998	0.000
rs2031573 lBF = `-0.0791368` Chr`10` : `4,001,897`	0.001	0.998	0.000
rs7911264 lBF = `7.26448` Chr`10` : `94,436,851`	0.001	0.999	0.000
rs10761731 lBF = `0.152737` Chr`10` : `65,027,610`	0.000	0.999	0.001
rs61852012 lBF = `-0.0628958` Chr`10` : `73,411,113`	0.001	0.999	0.000
rs12261331 lBF = `0.0791688` Chr`10` : `82,287,527`	0.001	0.999	0.000
rs10740118 lBF = `0.0573058` Chr`10` : `65,101,207`	0.000	0.999	0.001
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	0.999	0.001
rs10761741 lBF = `0.0973932` Chr`10` : `65,066,186`	0.000	0.999	0.001
rs7075195 lBF = `0.0971664` Chr`10` : `65,050,659`	0.000	0.999	0.001
rs1874984 lBF = `0.366284` Chr`10` : `1,731,871`	0.001	0.999	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.999	0.001
rs74400468 lBF = `0.0109656` Chr`10` : `43,592,809`	0.000	0.999	0.001
rs4751058 lBF = `-0.0358966` Chr`10` : `130,874,125`	0.001	0.999	0.000
rs6479891 lBF = `-0.0454928` Chr`10` : `65,006,456`	0.000	0.999	0.001
rs12356193 lBF = `0.125377` Chr`10` : `61,413,353`	0.001	0.999	0.000
rs139326003 lBF = `0.0945419` Chr`10` : `54,365,958`	0.001	0.999	0.000
rs1916521 lBF = `0.00542291` Chr`10` : `57,416,961`	0.000	0.999	0.001
rs10905651 lBF = `-0.0712319` Chr`10` : `10,073,544`	0.000	0.999	0.001
rs2648708 lBF = `0.473614` Chr`10` : `12,601,439`	0.000	0.999	0.001
rs7071206 lBF = `0.0117524` Chr`10` : `79,401,316`	0.000	0.999	0.001
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.999	0.000
rs1834180 lBF = `0.0143578` Chr`10` : `109,626,066`	0.000	0.999	0.001
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs12570188 lBF = `0.00129824` Chr`10` : `100,855,702`	0.001	0.999	0.000
rs10763170 lBF = `-0.100112` Chr`10` : `56,777,024`	0.001	0.999	0.000
rs56103207 lBF = `6.54193` Chr`10` : `71,275,195`	0.001	0.999	0.000
rs1329189 lBF = `0.121753` Chr`10` : `129,998,372`	0.001	0.999	0.000
rs562188 lBF = `-0.0211467` Chr`10` : `120,744,955`	0.001	0.999	0.000
rs705471 lBF = `-0.0868014` Chr`10` : `3,667,726`	0.000	0.999	0.001
rs11816922 lBF = `0.405378` Chr`10` : `6,924,444`	0.001	0.999	0.000
rs1250550 lBF = `0.32839` Chr`10` : `81,060,317`	0.001	0.999	0.000
rs1171606 lBF = `0.0625205` Chr`10` : `61,434,519`	0.001	0.999	0.000
rs6602364 lBF = `0.041086` Chr`10` : `6,038,853`	0.000	0.999	0.001
rs10995092 lBF = `-0.040397` Chr`10` : `64,001,700`	0.001	0.999	0.000
rs12220238 lBF = `-0.0457098` Chr`10` : `75,952,670`	0.001	0.999	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.001	0.999	0.000
rs2393967 lBF = `-0.0403757` Chr`10` : `65,133,156`	0.000	0.999	0.001
rs4751674 lBF = `-0.0671879` Chr`10` : `116,139,029`	0.001	0.999	0.000
rs10794108 lBF = `-0.0853509` Chr`10` : `128,423,873`	0.001	0.999	0.000
rs7915137 lBF = `0.368805` Chr`10` : `84,870,076`	0.001	0.999	0.000
rs11189853 lBF = `0.0576624` Chr`10` : `100,646,181`	0.001	0.999	0.000
rs1397615 lBF = `0.00025863` Chr`10` : `120,966,339`	0.001	0.999	0.000
rs2574975 lBF = `-0.00115175` Chr`10` : `52,119,297`	0.001	0.999	0.000
rs2893923 lBF = `-0.0443434` Chr`10` : `65,261,184`	0.000	0.999	0.001
rs10904908 lBF = `-0.079198` Chr`10` : `17,260,290`	0.001	0.999	0.000
rs4748185 lBF = `0.00118185` Chr`10` : `15,654,887`	0.000	0.999	0.001
rs41295115 lBF = `0.105064` Chr`10` : `6,124,621`	0.001	0.999	0.000
rs10993994 lBF = `26.248` Chr`10` : `51,549,496`	0.001	0.999	0.000
rs11257188 lBF = `0.324656` Chr`10` : `6,237,156`	0.000	0.999	0.001
rs2068888 lBF = `0.0518042` Chr`10` : `94,839,642`	0.000	0.999	0.001
rs4948317 lBF = `-0.0119419` Chr`10` : `60,571,435`	0.001	0.999	0.000
rs6560743 lBF = `-0.0518239` Chr`10` : `1,637,136`	0.001	0.999	0.000
rs7084402 lBF = `-0.063063` Chr`10` : `60,265,404`	0.001	0.999	0.000
rs1412115 lBF = `-0.0884655` Chr`10` : `34,088,053`	0.001	0.999	0.000
rs501120 lBF = `14.2539` Chr`10` : `44,753,867`	0.000	0.999	0.001
rs1864400 lBF = `0.468654` Chr`10` : `43,610,366`	0.000	0.999	0.001
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.001	0.999	0.000
rs10994415 lBF = `-0.00118391` Chr`10` : `62,322,034`	0.001	0.999	0.000
rs4536103 lBF = `-0.0915006` Chr`10` : `71,332,204`	0.001	0.999	0.000
rs34014631 lBF = `0.0705175` Chr`10` : `103,698,705`	0.001	0.999	0.000
rs913423 lBF = `0.58204` Chr`10` : `94,845,036`	0.000	0.999	0.001
rs12252129 lBF = `0.00033686` Chr`10` : `50,103,072`	0.001	0.999	0.000
rs3850699 lBF = `-0.0737919` Chr`10` : `104,414,221`	0.000	0.999	0.001
rs1912580 lBF = `11.2701` Chr`10` : `9,036,982`	0.001	0.999	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.001	0.999	0.000
rs115536975 lBF = `0.316714` Chr`10` : `128,771,834`	0.001	0.999	0.000
rs7094310 lBF = `0.0891915` Chr`10` : `6,791,034`	0.000	0.999	0.001
rs149613931 lBF = `0.0545058` Chr`10` : `103,550,281`	0.001	0.999	0.000
rs117063229 lBF = `0.00192729` Chr`10` : `28,755,262`	0.001	0.999	0.001
rs7098187 lBF = `0.00081847` Chr`10` : `15,538,383`	0.001	0.999	0.000
rs150400940 lBF = `0.00039955` Chr`10` : `113,810,429`	0.001	0.999	0.000
rs11198709 lBF = `0.291392` Chr`10` : `120,744,941`	0.001	0.999	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.001	0.999	0.000
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs384627 lBF = `0.0004008` Chr`10` : `119,336,746`	0.001	0.999	0.000
rs9420790 lBF = `-0.00003385` Chr`10` : `102,256,197`	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 X0323

log Bayes Factor = 180.399

contains 5 variants

0.9978

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7079

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1476

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9952

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9945

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9925

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9922

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9893

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9796

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9772

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9747

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9718

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9658

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9643

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9640

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9632

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9618

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9583

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9574

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9549

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9534

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9486

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9485

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9452

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9439

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9424

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9422

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9393

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9388

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9381

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9357

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9341

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9299

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9285

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9229

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9228

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9169

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9154

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9132

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9129

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9108

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9052

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.9015

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8974

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8970

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8967

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8947

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8915

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8895

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8895

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8884

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8873

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8856

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8846

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8798

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8775

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8753

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8730

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8710

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8609

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8608

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8497

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8491

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8486

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8479

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8469

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8463

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8446

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8404

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8401

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8347

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8340

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8338

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8311

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8257

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8220

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8176

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8093

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8078

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8027

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7968

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7921

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7910

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7907

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7905

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7881

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7850

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7812

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7807

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7790

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7743

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7717

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7685

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7607

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7574

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7384

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7343

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7315

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7290

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7253

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7236

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7153

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7111

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7073

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7072

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7026

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6915

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6885

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6740

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6719

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6704

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6560

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6521

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6488

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6451

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6450

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6445

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6439

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6437

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6406

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6256

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6157

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6144

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6127

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6119

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5976

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5950

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5918

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5916

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5780

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5750

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5725

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5671

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5559

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5486

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5380

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5256

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5254

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5176

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5017

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4977

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4975

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4917

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4824

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.4816

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4701

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4689

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4651

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4585

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4509

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4495

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4493

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4438

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4338

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4214

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4210

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4152

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4100

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3986

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3941

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3925

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3798

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3721

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3702

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3675

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3674

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3538

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3359

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3272

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3140

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3103

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3098

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3083

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2848

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2812

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2731

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2656

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2632

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2591

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2562

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2546

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2545

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2472

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2464

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2389

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2366

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2295

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2208

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2072

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1961

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1812

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1611

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1410

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1356

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1266

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1035

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0853

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0832

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0730

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0693

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0657

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0513

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`)