TreeWAS – [Z89.2] Acquired absence of upper limb above wrist

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
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.614	0.385	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.614	0.386	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.591	0.409	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.586	0.414	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.586	0.414	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.585	0.415	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.579	0.421	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.577	0.422	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.568	0.432	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.568	0.432	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.566	0.434	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.563	0.437	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.555	0.445	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.546	0.454	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.542	0.457	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.538	0.462	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.537	0.463	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.535	0.465	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.531	0.469	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.531	0.469	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.527	0.473	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.524	0.476	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.522	0.477	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.520	0.480	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.518	0.482	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.517	0.482	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.515	0.485	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.514	0.486	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.514	0.486	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.514	0.486	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.514	0.486	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.514	0.486	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.514	0.486	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.513	0.487	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.512	0.488	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.512	0.488	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.511	0.489	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.510	0.490	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.510	0.490	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.510	0.490	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.510	0.490	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.510	0.490	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.505	0.494	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.502	0.498	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.498	0.502	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.497	0.503	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.490	0.509	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.487	0.512	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.486	0.513	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.483	0.517	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.478	0.521	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.459	0.541	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.454	0.546	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.439	0.561	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.435	0.565	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.430	0.570	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.410	0.589	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.392	0.608	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.379	0.621	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.377	0.623	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.369	0.631	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.367	0.633	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.347	0.652	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.299	0.701	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.287	0.713	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.276	0.724	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.256	0.744	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.234	0.766	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.220	0.780	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.217	0.783	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.198	0.802	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.192	0.808	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.191	0.809	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.187	0.813	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.175	0.825	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.173	0.827	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.171	0.829	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.163	0.837	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.158	0.841	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.158	0.842	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.141	0.859	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.137	0.862	0.001
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.133	0.866	0.001
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.132	0.868	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.129	0.871	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.122	0.877	0.001
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.114	0.886	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.113	0.886	0.001
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.111	0.888	0.001
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.109	0.891	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.106	0.892	0.002
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.108	0.892	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.105	0.894	0.001
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.100	0.900	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.098	0.901	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.094	0.905	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.081	0.919	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.078	0.922	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.930	0.070
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.064	0.936	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.060	0.939	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.060	0.940	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.059	0.941	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.057	0.943	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.048	0.947	0.005
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.045	0.955	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.041	0.959	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.035	0.964	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.035	0.965	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.030	0.970	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.030	0.970	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.029	0.971	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.025	0.975	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.024	0.976	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.023	0.977	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.023	0.977	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.022	0.978	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.020	0.979	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.019	0.980	0.000
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.981	0.019
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.982	0.018
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.018	0.982	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.018	0.982	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.017	0.983	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.014	0.986	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.013	0.987	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.012	0.988	0.000
rs10788473 lBF = `-0.0830137` Chr`10` : `87,740,753`	0.011	0.989	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.010	0.990	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.010	0.990	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.009	0.991	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.009	0.991	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.009	0.991	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.009	0.991	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.008	0.992	0.000
rs10748781 lBF = `6.53438` Chr`10` : `101,283,330`	0.000	0.992	0.008
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.008	0.992	0.000
rs11818084 lBF = `-0.0333965` Chr`10` : `125,986,898`	0.007	0.993	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.007	0.993	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.006	0.994	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.006	0.994	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.006	0.994	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.006	0.994	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs1953600 lBF = `3.82886` Chr`10` : `81,911,725`	0.005	0.995	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.005	0.995	0.000
rs10901513 lBF = `-0.083459` Chr`10` : `127,699,936`	0.005	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.995	0.005
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.004	0.996	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.004	0.996	0.000
rs10995439 lBF = `-0.0506971` Chr`10` : `64,866,912`	0.000	0.996	0.004
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.004	0.996	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.996	0.003
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.003	0.997	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.003	0.997	0.000
rs7098785 lBF = `-0.0946047` Chr`10` : `98,417,930`	0.003	0.997	0.000
rs7905537 lBF = `-0.0378208` Chr`10` : `34,231,275`	0.003	0.997	0.000
rs10882272 lBF = `-0.0550277` Chr`10` : `95,348,182`	0.000	0.997	0.003
rs16917919 lBF = `-0.0567985` Chr`10` : `19,160,029`	0.003	0.997	0.000
rs2281636 lBF = `-0.0671346` Chr`10` : `101,492,403`	0.000	0.997	0.002
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.002	0.997	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.002	0.997	0.000
rs11597390 lBF = `-0.0603143` Chr`10` : `101,861,435`	0.000	0.997	0.002
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.002	0.997	0.000
rs1679568 lBF = `-0.0510448` Chr`10` : `117,817,551`	0.002	0.997	0.000
rs2928402 lBF = `0.376166` Chr`10` : `50,018,165`	0.002	0.997	0.000
rs10788309 lBF = `-0.0682067` Chr`10` : `85,790,476`	0.002	0.998	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.002	0.998	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.002	0.998	0.000
rs11258747 lBF = `-0.0514136` Chr`10` : `6,472,891`	0.002	0.998	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.002	0.998	0.000
rs2624681 lBF = `25.5143` Chr`10` : `44,677,301`	0.000	0.998	0.002
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.002	0.998	0.000
rs34704559 lBF = `-0.0325841` Chr`10` : `111,296,290`	0.002	0.998	0.000
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.002	0.998	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.998	0.002
rs1444782 lBF = `31.2722` Chr`10` : `9,058,671`	0.002	0.998	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.002	0.998	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.002	0.998	0.000
rs17152411 lBF = `-0.0763487` Chr`10` : `126,649,516`	0.002	0.998	0.000
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs1326934 lBF = `-0.0152103` Chr`10` : `97,284,081`	0.000	0.998	0.002
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.002	0.998	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.998	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs4751178 lBF = `-0.0638204` Chr`10` : `131,992,245`	0.002	0.998	0.000
rs877819 lBF = `0.0249927` Chr`10` : `50,042,951`	0.002	0.998	0.000
rs10822136 lBF = `0.00522211` Chr`10` : `64,872,411`	0.002	0.998	0.000
rs962993 lBF = `31.5825` Chr`10` : `9,053,132`	0.002	0.998	0.000
rs4373814 lBF = `0.4177` Chr`10` : `18,419,972`	0.000	0.998	0.002
rs1704223 lBF = `27.0702` Chr`10` : `44,677,014`	0.000	0.998	0.002
rs660498 lBF = `-0.0944825` Chr`10` : `27,740,959`	0.000	0.998	0.002
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.001	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs10763170 lBF = `-0.100112` Chr`10` : `56,777,024`	0.000	0.998	0.002
rs11014249 lBF = `-0.0921938` Chr`10` : `25,111,910`	0.001	0.998	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.001	0.999	0.000
rs35668226 lBF = `0.284751` Chr`10` : `122,849,667`	0.001	0.999	0.000
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rs1223629 lBF = `0.0390517` Chr`10` : `95,906,315`	0.000	0.999	0.000
rs4746003 lBF = `0.00789436` Chr`10` : `71,538,292`	0.001	0.999	0.000
rs10508921 lBF = `0.00763747` Chr`10` : `52,010,708`	0.001	0.999	0.000
rs17109512 lBF = `-0.00785217` Chr`10` : `100,127,551`	0.000	0.999	0.000
rs1472750 lBF = `-0.0206434` Chr`10` : `115,235,114`	0.001	0.999	0.000
rs12571664 lBF = `-0.0343749` Chr`10` : `121,708,929`	0.000	0.999	0.001
rs1570271 lBF = `-0.0398572` Chr`10` : `115,288,501`	0.000	0.999	0.001
rs6480463 lBF = `-0.0527356` Chr`10` : `72,517,837`	0.000	0.999	0.000
rs4558075 lBF = `-0.0649266` Chr`10` : `6,401,625`	0.001	0.999	0.000
rs290902 lBF = `16.2866` Chr`10` : `8,936,088`	0.000	0.999	0.001
rs7911264 lBF = `7.26448` Chr`10` : `94,436,851`	0.000	0.999	0.001
rs11190140 lBF = `6.23731` Chr`10` : `101,291,593`	0.001	0.999	0.000
rs947474 lBF = `1.84287` Chr`10` : `6,390,450`	0.001	0.999	0.000
rs444929 lBF = `0.535489` Chr`10` : `8,110,024`	0.001	0.999	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.000	0.999	0.000
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.000	0.999	0.000
rs16928705 lBF = `0.047674` Chr`10` : `73,095,793`	0.000	0.999	0.000
rs9527 lBF = `0.0167917` Chr`10` : `104,623,578`	0.000	0.999	0.001
rs16916041 lBF = `0.0100045` Chr`10` : `63,146,547`	0.000	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs11009175 lBF = `-0.0018497` Chr`10` : `33,294,775`	0.000	0.999	0.000
rs17625382 lBF = `-0.0536618` Chr`10` : `59,572,708`	0.001	0.999	0.000
rs1035209 lBF = `-0.0713859` Chr`10` : `101,345,366`	0.000	0.999	0.000
rs7081062 lBF = `20.8817` Chr`10` : `114,740,745`	0.000	0.999	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.000	0.999	0.000
rs3923088 lBF = `9.0099` Chr`10` : `25,815,417`	0.000	0.999	0.001
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.000	0.999	0.000
rs12779790 lBF = `4.16901` Chr`10` : `12,328,010`	0.001	0.999	0.000
rs10857636 lBF = `0.090408` Chr`10` : `49,985,110`	0.000	0.999	0.000
rs7097610 lBF = `0.0476017` Chr`10` : `82,304,162`	0.000	0.999	0.000
rs11191419 lBF = `0.0163696` Chr`10` : `104,612,335`	0.000	0.999	0.001
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	0.999	0.000
rs4750316 lBF = `-0.0474825` Chr`10` : `6,393,260`	0.001	0.999	0.000
rs10995245 lBF = `-0.0745346` Chr`10` : `64,391,375`	0.000	0.999	0.001
rs12255372 lBF = `121.334` Chr`10` : `114,808,902`	0.000	0.999	0.000
rs7076156 lBF = `5.97701` Chr`10` : `64,415,184`	0.001	0.999	0.000
rs2031577 lBF = `0.590296` Chr`10` : `4,050,003`	0.000	0.999	0.001
rs6602217 lBF = `0.586191` Chr`10` : `6,946,263`	0.001	0.999	0.000
rs7085104 lBF = `0.0395616` Chr`10` : `104,628,873`	0.000	0.999	0.001
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.001	0.999	0.000
rs2185570 lBF = `0.0165127` Chr`10` : `96,751,270`	0.001	0.999	0.000
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	0.999	0.000
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.000	0.999	0.000
rs1466576 lBF = `-0.0536438` Chr`10` : `72,688,371`	0.000	0.999	0.000
rs2065779 lBF = `-0.0725615` Chr`10` : `112,877,801`	0.000	0.999	0.000
rs73344830 lBF = `-0.0875975` Chr`10` : `103,816,828`	0.000	0.999	0.001
rs11196175 lBF = `42.6653` Chr`10` : `114,736,614`	0.000	0.999	0.000
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.000	0.999	0.000
rs1219515 lBF = `3.43486` Chr`10` : `123,431,245`	0.001	0.999	0.000
rs7072574 lBF = `1.3795` Chr`10` : `96,036,306`	0.000	0.999	0.001
rs1927457 lBF = `0.312018` Chr`10` : `30,008,663`	0.000	0.999	0.000
rs17135159 lBF = `0.237642` Chr`10` : `3,408,947`	0.000	0.999	0.000
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.000	0.999	0.000
rs11252394 lBF = `0.147192` Chr`10` : `4,240,870`	0.000	0.999	0.000
rs10508264 lBF = `0.0495902` Chr`10` : `3,804,257`	0.000	0.999	0.000
rs17770015 lBF = `0.00879127` Chr`10` : `115,238,764`	0.000	0.999	0.000
rs877282 lBF = `-0.022452` Chr`10` : `771,532`	0.000	0.999	0.000
rs1747683 lBF = `-0.0378373` Chr`10` : `13,361,976`	0.000	0.999	0.001
rs12249377 lBF = `-0.0454975` Chr`10` : `92,592,956`	0.000	0.999	0.000
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	0.999	0.000
rs655766 lBF = `-0.076361` Chr`10` : `28,977,010`	0.001	0.999	0.000
rs2031573 lBF = `-0.0791368` Chr`10` : `4,001,897`	0.001	0.999	0.000
rs10736877 lBF = `-0.090778` Chr`10` : `128,373,707`	0.000	0.999	0.000
rs10787472 lBF = `53.278` Chr`10` : `114,781,297`	0.000	0.999	0.000
rs10993994 lBF = `26.248` Chr`10` : `51,549,496`	0.000	0.999	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.000	0.999	0.000
rs1746049 lBF = `13.6931` Chr`10` : `44,776,310`	0.000	0.999	0.000
Affx-35292641 lBF = `12.8673` Chr`10` : `45,958,881`	0.001	0.999	0.000
rs10994860 lBF = `7.77808` Chr`10` : `52,645,424`	0.000	0.999	0.001
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.000	0.999	0.000
rs11190164 lBF = `0.622133` Chr`10` : `101,351,704`	0.000	0.999	0.000
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.000	0.999	0.000
rs1054052 lBF = `0.16139` Chr`10` : `23,303,253`	0.001	0.999	0.000
rs10904887 lBF = `0.0480256` Chr`10` : `17,188,641`	0.000	0.999	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.000	0.999	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.000	0.999	0.000
rs11592657 lBF = `-0.0049497` Chr`10` : `128,790,443`	0.001	0.999	0.000
rs7916968 lBF = `-0.0278577` Chr`10` : `759,268`	0.000	0.999	0.000
rs10458771 lBF = `-0.0468789` Chr`10` : `88,162,238`	0.000	0.999	0.000
rs1329650 lBF = `-0.0511447` Chr`10` : `93,348,120`	0.000	0.999	0.001
rs1570854 lBF = `-0.0779558` Chr`10` : `3,418,124`	0.000	0.999	0.000
rs2275620 lBF = `-0.0834048` Chr`10` : `96,802,598`	0.000	0.999	0.000
rs12243326 lBF = `126.039` Chr`10` : `114,788,815`	0.000	0.999	0.000
rs7904519 lBF = `53.1852` Chr`10` : `114,773,927`	0.000	0.999	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.000	0.999	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.000	0.999	0.000
rs10821905 lBF = `7.84875` Chr`10` : `52,646,093`	0.000	0.999	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.000	0.999	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	0.999	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.000	0.999	0.000
rs17582416 lBF = `0.794082` Chr`10` : `35,287,650`	0.000	0.999	0.000
rs4748741 lBF = `0.117558` Chr`10` : `21,259,144`	0.000	0.999	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.000	0.999	0.000
rs1834180 lBF = `0.0143578` Chr`10` : `109,626,066`	0.000	0.999	0.000
rs1913517 lBF = `0.0142305` Chr`10` : `50,119,054`	0.000	0.999	0.001
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.000
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.000	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4299

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2889

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1272

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9324

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8524

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8304

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7994

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7822

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7740

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7564

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7552

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7412

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7168

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7166

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7166

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7166

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7165

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7162

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7160

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7158

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7156

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7154

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7154

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7151

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7150

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7149

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7143

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7141

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7137

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7135

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7133

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7128

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7120

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7116

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7114

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7113

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7108

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7100

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7096

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7091

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7088

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7083

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7079

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7075

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7075

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7064

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7046

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7036

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7032

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7026

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7018

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7015

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6998

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6976

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6975

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6972

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6967

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6966

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6955

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6952

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6917

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6913

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6909

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6876

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6852

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6840

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6836

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6815

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6812

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6752

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6737

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6730

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6720

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6709

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6682

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6680

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6679

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6652

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6615

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6588

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6559

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6396

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6286

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6243

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6214

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6209

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6203

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6188

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6168

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6016

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5996

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5923

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5882

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5683

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5569

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5553

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5494

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5424

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5342

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5332

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5284

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5020

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4710

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4179

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4143

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4105

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4047

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3981

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3320

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3209

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2570

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2410

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2203

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2197

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.2029

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1456

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1383

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1375

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1311

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1218

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1048

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1018

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0984

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0799

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0661

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0533

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`)