TreeWAS – [Z36.4] Antenatal screening for foetal growth retardation using ultrasound and other physical methods

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
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.685	0.315	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.673	0.327	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.672	0.328	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.611	0.389	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.585	0.415	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.564	0.436	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.551	0.449	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.541	0.459	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.521	0.479	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.520	0.479	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.510	0.490	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.506	0.494	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.498	0.502	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.478	0.522	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.477	0.522	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.466	0.533	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.458	0.542	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.442	0.558	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.441	0.559	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.439	0.561	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.434	0.566	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.432	0.567	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.420	0.580	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.417	0.583	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.414	0.586	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.409	0.591	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.407	0.593	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.402	0.598	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.397	0.603	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.390	0.609	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.390	0.610	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.382	0.617	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.377	0.622	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.377	0.623	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.369	0.630	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.366	0.634	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.357	0.643	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.353	0.647	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.353	0.647	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.350	0.650	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.332	0.668	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.329	0.671	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.319	0.681	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.318	0.682	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.310	0.689	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.303	0.697	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.295	0.705	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.289	0.710	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.279	0.720	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.279	0.721	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.279	0.721	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.271	0.729	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.270	0.730	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.267	0.732	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.267	0.733	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.267	0.733	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.266	0.734	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.000	0.737	0.262
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.257	0.743	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.252	0.748	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.252	0.748	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.250	0.750	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.248	0.751	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.247	0.753	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.240	0.760	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.235	0.765	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.233	0.767	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.230	0.769	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.225	0.775	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.216	0.783	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.216	0.784	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.202	0.798	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.201	0.799	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.198	0.802	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.196	0.804	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.194	0.806	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.185	0.815	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.182	0.817	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.179	0.821	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.177	0.823	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.173	0.827	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.173	0.827	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.171	0.829	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.166	0.834	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.163	0.837	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.163	0.837	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.161	0.838	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.158	0.841	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.158	0.842	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.158	0.842	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.152	0.847	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.150	0.850	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.149	0.851	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.148	0.852	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.145	0.855	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.145	0.855	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.142	0.857	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.139	0.860	0.001
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.139	0.861	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.129	0.871	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.122	0.874	0.003
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.118	0.882	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.115	0.884	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.115	0.885	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.114	0.886	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.113	0.886	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.111	0.889	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.110	0.890	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.108	0.892	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.104	0.896	0.001
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.090	0.901	0.009
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.095	0.904	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.094	0.906	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.094	0.906	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.092	0.908	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.088	0.912	0.001
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.088	0.912	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.000	0.913	0.087
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.086	0.913	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.085	0.914	0.000
rs10886159 lBF = `0.00119789` Chr`10` : `119,613,610`	0.000	0.916	0.084
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.083	0.917	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.082	0.917	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.080	0.920	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.078	0.922	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.074	0.926	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.072	0.928	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.070	0.930	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.068	0.931	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.064	0.933	0.003
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.065	0.934	0.001
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.065	0.934	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.063	0.936	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.061	0.938	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.058	0.942	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.055	0.945	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.945	0.054
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.054	0.946	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.052	0.947	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.052	0.948	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.000	0.949	0.051
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.051	0.949	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.050	0.950	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.048	0.952	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.046	0.953	0.001
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.047	0.953	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.046	0.954	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.956	0.044
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.043	0.957	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.041	0.959	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.040	0.960	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.038	0.961	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.038	0.962	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.035	0.964	0.001
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.035	0.964	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.035	0.965	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.035	0.965	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.034	0.966	0.000
rs10829156 lBF = `-0.0114929` Chr`10` : `18,950,555`	0.000	0.967	0.033
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.032	0.968	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.031	0.968	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.030	0.969	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.030	0.970	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.027	0.971	0.002
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.029	0.971	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.029	0.971	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.028	0.972	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.028	0.972	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.028	0.972	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.027	0.972	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.027	0.973	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.000	0.973	0.027
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.026	0.974	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.026	0.974	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.025	0.974	0.001
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.025	0.974	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.021	0.978	0.000
rs2799573 lBF = `-0.0418406` Chr`10` : `18,601,928`	0.000	0.979	0.021
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.020	0.979	0.001
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.019	0.980	0.001
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.020	0.980	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.020	0.980	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.020	0.980	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.016	0.983	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.016	0.983	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.016	0.984	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	0.984	0.016
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.016	0.984	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.015	0.985	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.015	0.985	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.014	0.986	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.013	0.986	0.001
rs583012 lBF = `-0.00901107` Chr`10` : `55,294,874`	0.013	0.987	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.012	0.988	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.011	0.988	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.010	0.988	0.002
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.011	0.989	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.000	0.989	0.011
rs10825741 lBF = `-0.0221788` Chr`10` : `57,832,152`	0.000	0.989	0.010
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.010	0.990	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.990	0.010
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rs184737911 lBF = `0` Chr`10` : `88,431,292`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs188724679 lBF = `0` Chr`10` : `135,224,855`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs78627331 lBF = `0` Chr`10` : `94,812,254`	0.001	0.999	0.001
rs182554582 lBF = `0` Chr`10` : `88,194,959`	0.001	0.999	0.001
rs182344828 lBF = `0` Chr`10` : `54,593,326`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs77040403 lBF = `0` Chr`10` : `71,640,838`	0.001	0.999	0.001
rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.001	0.999	0.000
rs7098187 lBF = `0.00081847` Chr`10` : `15,538,383`	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`	0.000	0.999	0.001
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs2487928 lBF = `1.29064` Chr`10` : `30,323,892`	0.000	0.999	0.001
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.001	0.999	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.001	0.999	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.001	0.999	0.000
rs17497526 lBF = `-0.0175294` Chr`10` : `71,580,120`	0.000	0.999	0.001
rs913655 lBF = `-0.0804996` Chr`10` : `19,090,812`	0.001	0.999	0.000
rs2648708 lBF = `0.473614` Chr`10` : `12,601,439`	0.001	0.999	0.000
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.001	0.999	0.000
rs7070678 lBF = `0.0747435` Chr`10` : `29,812,602`	0.001	0.999	0.000
rs17747401 lBF = `-0.0392698` Chr`10` : `76,400,164`	0.000	0.999	0.001
rs1710278 lBF = `-0.0590503` Chr`10` : `127,738,918`	0.000	0.999	0.001
rs3793917 lBF = `14.7732` Chr`10` : `124,219,275`	0.001	0.999	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.000	0.999	0.001
rs7077606 lBF = `-0.0559405` Chr`10` : `55,407,091`	0.000	0.999	0.001
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.000	0.999	0.001
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.001
rs4748185 lBF = `0.00118185` Chr`10` : `15,654,887`	0.000	0.999	0.001
rs10788473 lBF = `-0.0830137` Chr`10` : `87,740,753`	0.000	0.999	0.001
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.000	0.999	0.001
rs17774576 lBF = `-0.00837297` Chr`10` : `50,500,459`	0.000	0.999	0.001
rs2387326 lBF = `-0.0245273` Chr`10` : `129,933,456`	0.001	0.999	0.000
rs873946 lBF = `0.0687975` Chr`10` : `134,529,972`	0.000	0.999	0.001
rs12251307 lBF = `0.0447101` Chr`10` : `6,123,495`	0.000	0.999	0.001
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.001	0.999	0.000
rs290475 lBF = `-0.0656258` Chr`10` : `114,874,019`	0.001	0.999	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	0.999	0.001
rs596406 lBF = `0.00095232` Chr`10` : `11,224,665`	0.000	0.999	0.001
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.001	0.999	0.000
rs716595 lBF = `-0.0190725` Chr`10` : `112,006,486`	0.001	0.999	0.000
rs2995271 lBF = `-0.0621805` Chr`10` : `30,519,832`	0.001	0.999	0.000
rs7085433 lBF = `0.537413` Chr`10` : `51,593,354`	0.001	0.999	0.000
rs7097656 lBF = `0.0295606` Chr`10` : `82,250,831`	0.001	0.999	0.000
rs7910643 lBF = `0.028608` Chr`10` : `82,251,769`	0.001	0.999	0.000
rs10508558 lBF = `0.0230532` Chr`10` : `18,388,434`	0.000	0.999	0.001
rs11259474 lBF = `-0.0500675` Chr`10` : `15,129,402`	0.001	0.999	0.000
rs9633740 lBF = `0.0543845` Chr`10` : `82,265,271`	0.001	0.999	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.001	0.999	0.000
rs10490924 lBF = `14.8192` Chr`10` : `124,214,448`	0.001	0.999	0.000
rs6586028 lBF = `0.0510636` Chr`10` : `82,253,984`	0.001	0.999	0.000
rs12414342 lBF = `0.0290144` Chr`10` : `133,289,905`	0.001	0.999	0.000
rs1891159 lBF = `-0.0754732` Chr`10` : `72,795,877`	0.000	0.999	0.001
rs11190870 lBF = `0.427111` Chr`10` : `102,979,207`	0.001	0.999	0.000
rs7897654 lBF = `0.105359` Chr`10` : `104,662,458`	0.001	0.999	0.000
rs12356475 lBF = `0.0442279` Chr`10` : `67,761,720`	0.000	0.999	0.001
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	0.999	0.000
rs11185951 lBF = `0.0144861` Chr`10` : `82,301,536`	0.000	0.999	0.001
rs10886358 lBF = `-0.00122934` Chr`10` : `120,744,295`	0.001	0.999	0.000
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.000	0.999	0.001
rs7078003 lBF = `-0.0597834` Chr`10` : `99,359,412`	0.000	0.999	0.001
rs12354486 lBF = `0.271372` Chr`10` : `104,124,055`	0.000	0.999	0.001
rs7084416 lBF = `0.0478939` Chr`10` : `82,304,297`	0.000	0.999	0.001
rs7097610 lBF = `0.0476017` Chr`10` : `82,304,162`	0.000	0.999	0.001
rs1570271 lBF = `-0.0398572` Chr`10` : `115,288,501`	0.001	0.999	0.000
rs9664222 lBF = `-0.0871079` Chr`10` : `89,338,633`	0.001	0.999	0.000
rs17455577 lBF = `-0.108684` Chr`10` : `100,165,997`	0.000	0.999	0.001
rs12571751 lBF = `9.8145` Chr`10` : `80,942,631`	0.001	0.999	0.000
rs4748153 lBF = `0.332402` Chr`10` : `6,606,541`	0.001	0.999	0.000
rs12261331 lBF = `0.0791688` Chr`10` : `82,287,527`	0.000	0.999	0.001
rs12265836 lBF = `0.0184055` Chr`10` : `11,719,010`	0.000	0.999	0.001
rs2804497 lBF = `0.0139986` Chr`10` : `33,616,037`	0.001	0.999	0.000
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.000	0.999	0.000
rs3750846 lBF = `14.8239` Chr`10` : `124,215,565`	0.001	0.999	0.000
rs3750848 lBF = `14.7959` Chr`10` : `124,215,315`	0.001	0.999	0.000
rs17666963 lBF = `0.812877` Chr`10` : `125,207,501`	0.000	0.999	0.001
rs10997979 lBF = `0.204855` Chr`10` : `69,937,192`	0.001	0.999	0.000
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs11819364 lBF = `-0.00470806` Chr`10` : `129,043,310`	0.001	0.999	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.000	0.999	0.001
rs11191419 lBF = `0.0163696` Chr`10` : `104,612,335`	0.001	0.999	0.000
rs11006464 lBF = `0.00366423` Chr`10` : `61,146,582`	0.000	0.999	0.001
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.001	0.999	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	0.999	0.001
rs7090925 lBF = `-0.111728` Chr`10` : `8,479,868`	0.000	0.999	0.001
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.001	0.999	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.000	0.999	0.000
rs1801222 lBF = `1.12555` Chr`10` : `17,156,151`	0.000	0.999	0.001
rs7085104 lBF = `0.0395616` Chr`10` : `104,628,873`	0.001	0.999	0.000
rs7893279 lBF = `-0.0308261` Chr`10` : `18,745,105`	0.000	0.999	0.001

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2094

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1198

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0889

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9872

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9822

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9722

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9639

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9464

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9310

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9203

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9180

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9017

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9012

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8903

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8818

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8817

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8766

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8736

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8551

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8535

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8493

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8488

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8479

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8316

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8265

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8163

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8142

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8048

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8028

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8009

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7997

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7880

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7850

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7811

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7810

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7785

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7758

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7700

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7489

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7220

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7200

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7161

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7076

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7029

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7020

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7005

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7003

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6968

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6933

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6924

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6899

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6897

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6870

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6654

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6646

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6605

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6567

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6542

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6344

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6339

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6037

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5983

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5962

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5886

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5766

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5540

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5449

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5426

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5382

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5349

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5299

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5262

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5260

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5195

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5189

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5154

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4837

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4701

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4587

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4482

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4452

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4234

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4199

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4150

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4094

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3869

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3793

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3725

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3695

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3637

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3606

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3534

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3422

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3227

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3183

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3181

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3124

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3060

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3060

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2925

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2887

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2787

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2755

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2662

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2532

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2525

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2473

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2066

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2044

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2036

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1935

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1879

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1875

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1859

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1825

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1774

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1772

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1759

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1687

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1497

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1488

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1339

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1276

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1182

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1081

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1042

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1030

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1026

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0888

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0726

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0684

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0638

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0565

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0564

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0560

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0530

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`)