TreeWAS – [Z13.7] Special screening examination for congenital malformations, deformations and chromosomal abnormalities

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
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.709	0.291	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.658	0.342	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.644	0.356	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.640	0.360	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.627	0.373	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.624	0.376	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.580	0.420	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.555	0.445	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.551	0.449	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.533	0.467	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.520	0.479	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.507	0.493	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.495	0.505	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.478	0.522	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.475	0.524	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.473	0.527	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.469	0.531	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.468	0.532	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.467	0.533	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.460	0.539	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.459	0.541	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.458	0.542	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.454	0.545	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.439	0.561	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.438	0.562	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.421	0.579	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.414	0.586	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.410	0.590	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.407	0.593	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.406	0.594	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.405	0.594	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.386	0.614	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.371	0.628	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.362	0.638	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.361	0.639	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.355	0.645	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.336	0.663	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.326	0.674	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.323	0.677	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.319	0.681	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.305	0.694	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.304	0.695	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.303	0.697	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.302	0.697	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.300	0.700	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.288	0.712	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.282	0.717	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.280	0.720	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.274	0.725	0.001
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.274	0.726	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.266	0.733	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.255	0.745	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.252	0.747	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.244	0.756	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.242	0.758	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.239	0.761	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.238	0.762	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.236	0.764	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.233	0.767	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.231	0.769	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.222	0.778	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.220	0.779	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.185	0.815	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.182	0.817	0.001
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.181	0.819	0.001
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.171	0.828	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.165	0.834	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.164	0.836	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.163	0.836	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.163	0.837	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.159	0.841	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.151	0.849	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.150	0.849	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.142	0.858	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.140	0.860	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.137	0.862	0.001
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.138	0.862	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.134	0.866	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.131	0.868	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.126	0.874	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.126	0.874	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.126	0.874	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.124	0.875	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.122	0.878	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.121	0.878	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.115	0.885	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.114	0.886	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.103	0.896	0.001
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.098	0.902	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.098	0.902	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.095	0.905	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.094	0.906	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.086	0.914	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.081	0.918	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.080	0.920	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.080	0.920	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.074	0.926	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.072	0.928	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.070	0.930	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.069	0.931	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.069	0.931	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.063	0.935	0.003
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.063	0.937	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.937	0.062
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.057	0.942	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.057	0.942	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.057	0.943	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.054	0.946	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.054	0.946	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.950	0.050
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.049	0.950	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.046	0.954	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.042	0.958	0.000
rs75984653 lBF = `0.211922` Chr`10` : `24,357,791`	0.041	0.959	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.040	0.960	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.035	0.965	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.034	0.966	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.033	0.967	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.031	0.969	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.030	0.970	0.001
rs4752485 lBF = `0.00541069` Chr`10` : `122,720,974`	0.000	0.970	0.030
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.027	0.972	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.025	0.975	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.024	0.975	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.024	0.975	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.023	0.976	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.023	0.977	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.023	0.977	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.022	0.978	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.022	0.978	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.021	0.979	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.020	0.979	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.019	0.981	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.019	0.981	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.019	0.981	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.018	0.982	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.017	0.983	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.017	0.983	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.017	0.983	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.016	0.984	0.000
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.016	0.984	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.015	0.985	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.015	0.985	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.014	0.985	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.013	0.987	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.013	0.987	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.011	0.989	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.011	0.989	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.011	0.989	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.011	0.989	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.010	0.990	0.001
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.010	0.990	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.009	0.991	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.008	0.991	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.008	0.992	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.007	0.992	0.001
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.007	0.993	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.007	0.993	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.007	0.993	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.007	0.993	0.000
rs11597068 lBF = `0.120387` Chr`10` : `124,988,153`	0.007	0.993	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.006	0.993	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.005	0.994	0.001
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.006	0.994	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.006	0.994	0.000
rs1298908 lBF = `-0.00932412` Chr`10` : `82,013,134`	0.000	0.994	0.006
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.006	0.994	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.005	0.995	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.995	0.005
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.005	0.995	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.005	0.995	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.005	0.995	0.000
rs787665 lBF = `-0.0217826` Chr`10` : `95,072,536`	0.000	0.995	0.005
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.004	0.995	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.004	0.995	0.001
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.004	0.995	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.003	0.996	0.002
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.004	0.996	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.004	0.996	0.000
rs10905279 lBF = `7.21525` Chr`10` : `8,107,572`	0.004	0.996	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.004	0.996	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.996	0.004
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.004	0.996	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.004	0.996	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.003	0.996	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.003	0.996	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.003	0.997	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.003	0.997	0.000
rs115536975 lBF = `0.316714` Chr`10` : `128,771,834`	0.003	0.997	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.003	0.997	0.000
rs11196175 lBF = `42.6653` Chr`10` : `114,736,614`	0.003	0.997	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.002	0.997	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.002	0.997	0.001
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.002	0.998	0.000
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.002	0.998	0.000
rs3943077 lBF = `0.168461` Chr`10` : `122,945,086`	0.002	0.998	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.002	0.998	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.000	0.998	0.002
rs11196174 lBF = `38.4124` Chr`10` : `114,734,096`	0.002	0.998	0.000
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rs7097610 lBF = `0.0476017` Chr`10` : `82,304,162`	0.000	1.000	0.000
rs7086627 lBF = `0.0410154` Chr`10` : `82,220,597`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs7077335 lBF = `0.00301948` Chr`10` : `6,315,794`	0.000	1.000	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.000	1.000	0.000
rs75263140 lBF = `-0.00535354` Chr`10` : `12,702,569`	0.000	1.000	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.000	1.000	0.000
rs11818629 lBF = `-0.0159596` Chr`10` : `130,137,105`	0.000	1.000	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.000	1.000	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.000	1.000	0.000
rs7098414 lBF = `0.0540432` Chr`10` : `82,214,586`	0.000	1.000	0.000
rs7084416 lBF = `0.0478939` Chr`10` : `82,304,297`	0.000	1.000	0.000
rs3814219 lBF = `0.00811527` Chr`10` : `105,647,095`	0.000	1.000	0.000
rs28360899 lBF = `-0.0111531` Chr`10` : `125,772,237`	0.000	1.000	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.000	1.000	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.000	1.000	0.000
rs2227551 lBF = `0.324915` Chr`10` : `75,669,190`	0.000	1.000	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	1.000	0.000
rs12570947 lBF = `-0.0138211` Chr`10` : `109,569,850`	0.000	1.000	0.000
rs76225372 lBF = `-0.0250084` Chr`10` : `19,320,086`	0.000	1.000	0.000
rs1712517 lBF = `-0.0308084` Chr`10` : `105,033,015`	0.000	1.000	0.000
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.000	1.000	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.000	1.000	0.000
rs4409766 lBF = `8.10428` Chr`10` : `104,616,663`	0.000	1.000	0.000
rs3824755 lBF = `7.9222` Chr`10` : `104,595,849`	0.000	1.000	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	1.000	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.000	1.000	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.000	1.000	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.000	1.000	0.000
rs7072122 lBF = `1.45378` Chr`10` : `45,034,672`	0.000	1.000	0.000
rs8177757 lBF = `0.44589` Chr`10` : `6,027,721`	0.000	1.000	0.000
rs1084004 lBF = `0.297869` Chr`10` : `73,121,945`	0.000	1.000	0.000
rs2343306 lBF = `0.207264` Chr`10` : `82,230,146`	0.000	1.000	0.000
rs2222800 lBF = `0.0868466` Chr`10` : `54,341,873`	0.000	1.000	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	1.000	0.000
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.000	1.000	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.000	1.000	0.000
rs17642749 lBF = `-0.00179651` Chr`10` : `119,647,256`	0.000	1.000	0.000
rs1326986 lBF = `-0.00638613` Chr`10` : `19,929,513`	0.000	1.000	0.000
rs79538733 lBF = `-0.0165118` Chr`10` : `71,500,897`	0.000	1.000	0.000
rs877282 lBF = `-0.022452` Chr`10` : `771,532`	0.000	1.000	0.000
rs1199103 lBF = `-0.0521979` Chr`10` : `59,947,231`	0.000	1.000	0.000
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	1.000	0.000
rs3118470 lBF = `14.8132` Chr`10` : `6,101,713`	0.000	1.000	0.000
rs11191416 lBF = `8.43111` Chr`10` : `104,604,916`	0.000	1.000	0.000
rs1004467 lBF = `7.82232` Chr`10` : `104,594,507`	0.000	1.000	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.000	1.000	0.000
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.000	1.000	0.000
rs117792039 lBF = `0.00043349` Chr`10` : `106,810,615`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	1.000	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.000	1.000	0.000
rs140265971 lBF = `-0.0126799` Chr`10` : `59,311,903`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	1.000	0.000
rs7914606 lBF = `-0.0169026` Chr`10` : `85,105,609`	0.000	1.000	0.000
rs59824868 lBF = `-0.0182982` Chr`10` : `95,477,350`	0.000	1.000	0.000
rs1250544 lBF = `-0.0393365` Chr`10` : `81,032,885`	0.000	1.000	0.000
rs1250540 lBF = `-0.0409655` Chr`10` : `81,036,007`	0.000	1.000	0.000
rs2790216 lBF = `-0.0414774` Chr`10` : `59,997,926`	0.000	1.000	0.000
rs1250542 lBF = `-0.0456127` Chr`10` : `81,034,670`	0.000	1.000	0.000
rs2153283 lBF = `-0.0489038` Chr`10` : `59,972,299`	0.000	1.000	0.000
rs6479800 lBF = `-0.062675` Chr`10` : `64,036,881`	0.000	1.000	0.000
rs1925265 lBF = `-0.0753222` Chr`10` : `119,604,938`	0.000	1.000	0.000
rs927675 lBF = `-0.0856223` Chr`10` : `28,382,933`	0.000	1.000	0.000
rs7088969 lBF = `-0.0955842` Chr`10` : `119,533,757`	0.000	1.000	0.000
rs34872471 lBF = `171.606` Chr`10` : `114,754,071`	0.000	1.000	0.000
rs7903146 lBF = `168.307` Chr`10` : `114,758,349`	0.000	1.000	0.000
rs17115100 lBF = `7.50663` Chr`10` : `104,591,393`	0.000	1.000	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.000	1.000	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.000	1.000	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.000	1.000	0.000
rs12241008 lBF = `2.24975` Chr`10` : `114,280,702`	0.000	1.000	0.000
rs7069733 lBF = `1.97167` Chr`10` : `105,297,770`	0.000	1.000	0.000
rs2227564 lBF = `0.506316` Chr`10` : `75,673,101`	0.000	1.000	0.000
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.000	1.000	0.000
rs1927457 lBF = `0.312018` Chr`10` : `30,008,663`	0.000	1.000	0.000
rs17601696 lBF = `0.263335` Chr`10` : `123,120,036`	0.000	1.000	0.000
rs780676 lBF = `0.185887` Chr`10` : `73,113,931`	0.000	1.000	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.000	1.000	0.000
rs10994613 lBF = `0.0125815` Chr`10` : `62,780,127`	0.000	1.000	0.000
rs4933824 lBF = `0.00984168` Chr`10` : `83,819,125`	0.000	1.000	0.000
rs10508921 lBF = `0.00763747` Chr`10` : `52,010,708`	0.000	1.000	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	1.000	0.000
rs4752066 lBF = `0.00421547` Chr`10` : `119,227,342`	0.000	1.000	0.000
rs11819364 lBF = `-0.00470806` Chr`10` : `129,043,310`	0.000	1.000	0.000
rs72796654 lBF = `-0.00998259` Chr`10` : `59,355,944`	0.000	1.000	0.000
rs2441727 lBF = `-0.0126322` Chr`10` : `68,224,886`	0.000	1.000	0.000
rs4919694 lBF = `-0.0314563` Chr`10` : `104,698,978`	0.000	1.000	0.000
rs17267338 lBF = `-0.0360097` Chr`10` : `114,388,272`	0.000	1.000	0.000
rs10466239 lBF = `-0.0375921` Chr`10` : `43,849,827`	0.000	1.000	0.000
rs2904804 lBF = `-0.0415251` Chr`10` : `5,009,759`	0.000	1.000	0.000
rs12246027 lBF = `-0.0524679` Chr`10` : `318,076`	0.000	1.000	0.000
rs1250546 lBF = `-0.0569582` Chr`10` : `81,032,532`	0.000	1.000	0.000
rs2165953 lBF = `-0.0585411` Chr`10` : `4,716,542`	0.000	1.000	0.000
rs1891159 lBF = `-0.0754732` Chr`10` : `72,795,877`	0.000	1.000	0.000
rs10997517 lBF = `-0.0923845` Chr`10` : `68,879,803`	0.000	1.000	0.000
rs181654 lBF = `-0.0958728` Chr`10` : `119,379,656`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)