TreeWAS – [K90] Intestinal malabsorption

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
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.820	0.180	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.814	0.186	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.797	0.203	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.787	0.213	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.768	0.232	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.712	0.288	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.704	0.296	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.704	0.296	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.700	0.300	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.692	0.308	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.689	0.311	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.683	0.317	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.681	0.319	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.675	0.325	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.675	0.325	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.665	0.335	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.664	0.336	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.647	0.353	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.642	0.358	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.635	0.365	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.632	0.368	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.618	0.382	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.616	0.384	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.613	0.387	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.613	0.387	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.604	0.396	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.584	0.416	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.581	0.419	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.577	0.423	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.577	0.423	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.574	0.426	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.574	0.426	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.572	0.428	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.563	0.437	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.553	0.447	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.553	0.447	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.546	0.454	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.541	0.459	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.535	0.465	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.532	0.467	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.502	0.498	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.499	0.501	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.483	0.517	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.473	0.526	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.462	0.538	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.462	0.538	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.538	0.462
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.455	0.544	0.001
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.554	0.446
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.440	0.560	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.437	0.563	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.436	0.564	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.432	0.568	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.428	0.572	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.425	0.575	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.575	0.425
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.413	0.587	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.410	0.589	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.407	0.593	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.403	0.597	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.401	0.599	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.383	0.617	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.376	0.623	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.625	0.375
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.375	0.625	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.370	0.630	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.365	0.635	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.360	0.640	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.359	0.641	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.358	0.642	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.358	0.642	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.356	0.644	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.354	0.646	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.346	0.653	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.341	0.659	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.335	0.665	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.333	0.667	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.329	0.670	0.001
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.311	0.689	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.309	0.691	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.305	0.692	0.002
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.306	0.694	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.299	0.701	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.298	0.702	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.295	0.704	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.292	0.708	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.284	0.716	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.275	0.724	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.274	0.725	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.272	0.728	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.265	0.735	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.259	0.741	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.258	0.742	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.258	0.742	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.251	0.748	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.249	0.751	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.247	0.753	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.239	0.760	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.229	0.771	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.229	0.771	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.222	0.778	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.212	0.787	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.212	0.788	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.207	0.792	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.207	0.793	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.796	0.203
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.196	0.804	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.192	0.808	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.190	0.810	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.187	0.813	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.180	0.820	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.175	0.825	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.159	0.841	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.148	0.852	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.148	0.852	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.142	0.858	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.135	0.865	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.116	0.882	0.002
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.117	0.883	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.116	0.884	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.114	0.886	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.114	0.886	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.104	0.895	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.104	0.896	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.103	0.896	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.100	0.900	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.096	0.904	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.095	0.905	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.094	0.906	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.093	0.907	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.089	0.911	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.086	0.914	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.079	0.920	0.001
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.079	0.921	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.077	0.923	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.068	0.930	0.003
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.069	0.931	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.069	0.931	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.069	0.931	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.068	0.932	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.064	0.936	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.060	0.940	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.940	0.059
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.054	0.945	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.053	0.946	0.001
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.054	0.946	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.048	0.952	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.040	0.960	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.039	0.961	0.001
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.037	0.963	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.037	0.963	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.037	0.963	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.035	0.965	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.033	0.966	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.032	0.967	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.031	0.969	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.030	0.970	0.000
rs1937395 lBF = `0.159071` Chr`10` : `56,391,303`	0.027	0.973	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.026	0.974	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.026	0.974	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.025	0.975	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.020	0.980	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.019	0.981	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.017	0.982	0.001
rs947474 lBF = `1.84287` Chr`10` : `6,390,450`	0.017	0.983	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.015	0.983	0.002
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.016	0.984	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.016	0.984	0.001
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.016	0.984	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.015	0.985	0.000
rs10886159 lBF = `0.00119789` Chr`10` : `119,613,610`	0.000	0.986	0.014
rs12220777 lBF = `-0.0108914` Chr`10` : `81,788,104`	0.014	0.986	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.013	0.986	0.001
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.013	0.986	0.000
rs9787485 lBF = `-0.0790288` Chr`10` : `83,566,686`	0.013	0.987	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.013	0.987	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.012	0.988	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.012	0.988	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.012	0.988	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.989	0.011
rs9804200 lBF = `0.31788` Chr`10` : `131,673,986`	0.000	0.989	0.011
rs7914558 lBF = `0.0489198` Chr`10` : `104,775,908`	0.011	0.989	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.990	0.010
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.010	0.990	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.010	0.990	0.000
rs3740393 lBF = `3.17247` Chr`10` : `104,636,655`	0.010	0.990	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.009	0.991	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.000	0.991	0.009
rs10883817 lBF = `0.0502355` Chr`10` : `104,755,431`	0.009	0.991	0.000
rs1890185 lBF = `0.0537457` Chr`10` : `104,748,718`	0.009	0.991	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.006	0.991	0.002
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.008	0.992	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.008	0.992	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.008	0.992	0.000
rs11259403 lBF = `0.00205073` Chr`10` : `6,572,225`	0.000	0.993	0.007
rs10822136 lBF = `0.00522211` Chr`10` : `64,872,411`	0.007	0.993	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.007	0.993	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.007	0.993	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.007	0.993	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.007	0.993	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.993	0.006
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.006	0.994	0.000
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rs2981575 lBF = `115.713` Chr`10` : `123,346,116`	0.000	0.999	0.001
rs12773465 lBF = `-0.0274825` Chr`10` : `98,794,059`	0.001	0.999	0.000
rs4919694 lBF = `-0.0314563` Chr`10` : `104,698,978`	0.001	0.999	0.000
rs2503875 lBF = `-0.0942689` Chr`10` : `43,814,049`	0.000	0.999	0.001
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.000	0.999	0.000
rs10822013 lBF = `6.02374` Chr`10` : `64,251,977`	0.001	0.999	0.000
rs7902871 lBF = `-0.0686261` Chr`10` : `98,809,703`	0.000	0.999	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.000	0.999	0.001
rs17666963 lBF = `0.812877` Chr`10` : `125,207,501`	0.001	0.999	0.000
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.000	0.999	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.001	0.999	0.000
rs10788575 lBF = `-0.0123684` Chr`10` : `89,768,584`	0.000	0.999	0.001
rs10857712 lBF = `-0.0258088` Chr`10` : `135,225,666`	0.001	0.999	0.000
rs4750440 lBF = `-0.0836125` Chr`10` : `14,013,954`	0.001	0.999	0.000
rs7090925 lBF = `-0.111728` Chr`10` : `8,479,868`	0.000	0.999	0.001
rs7912580 lBF = `-0.00031847` Chr`10` : `63,915,972`	0.001	0.999	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.000	0.999	0.000
rs2802493 lBF = `2.16711` Chr`10` : `44,553,583`	0.001	0.999	0.000
rs10906115 lBF = `0.0133628` Chr`10` : `12,314,997`	0.001	0.999	0.000
rs10508503 lBF = `-0.00975954` Chr`10` : `16,299,951`	0.001	0.999	0.000
rs1417210 lBF = `-0.0288914` Chr`10` : `73,135,919`	0.001	0.999	0.000
rs1219648 lBF = `114.431` Chr`10` : `123,346,190`	0.000	0.999	0.001
rs975809 lBF = `-0.130919` Chr`10` : `56,620,608`	0.001	0.999	0.000
rs2742234 lBF = `1.42313` Chr`10` : `43,612,609`	0.000	0.999	0.000
rs3851050 lBF = `-0.00107234` Chr`10` : `81,882,370`	0.000	0.999	0.000
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.999	0.000
rs2672587 lBF = `9.29325` Chr`10` : `124,235,355`	0.000	0.999	0.000
rs2624681 lBF = `25.5143` Chr`10` : `44,677,301`	0.000	1.000	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.000	1.000	0.000
Affx-2643209 lBF = `10.2281` Chr`10` : `123,081,100`	0.000	1.000	0.000
rs2648708 lBF = `0.473614` Chr`10` : `12,601,439`	0.000	1.000	0.000
rs17771318 lBF = `0.0721` Chr`10` : `49,911,357`	0.000	1.000	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	1.000	0.000
rs10882272 lBF = `-0.0550277` Chr`10` : `95,348,182`	0.000	1.000	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.000	1.000	0.000
rs1149911 lBF = `5.55594` Chr`10` : `9,068,164`	0.000	1.000	0.000
rs2981582 lBF = `104.802` Chr`10` : `123,352,317`	0.000	1.000	0.000
rs59616746 lBF = `-0.00779637` Chr`10` : `82,388,983`	0.000	1.000	0.000
rs7077606 lBF = `-0.0559405` Chr`10` : `55,407,091`	0.000	1.000	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.000	1.000	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.000	1.000	0.000
rs268274 lBF = `7.87113` Chr`10` : `44,632,262`	0.000	1.000	0.000
rs7899106 lBF = `0.050152` Chr`10` : `87,410,904`	0.000	1.000	0.000
rs11006002 lBF = `0.0369676` Chr`10` : `59,758,643`	0.000	1.000	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs12570947 lBF = `-0.0138211` Chr`10` : `109,569,850`	0.000	1.000	0.000
rs1801222 lBF = `1.12555` Chr`10` : `17,156,151`	0.000	1.000	0.000
rs11257188 lBF = `0.324656` Chr`10` : `6,237,156`	0.000	1.000	0.000
rs12354486 lBF = `0.271372` Chr`10` : `104,124,055`	0.000	1.000	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	1.000	0.000
rs4462262 lBF = `-0.113656` Chr`10` : `59,189,178`	0.000	1.000	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	1.000	0.000
rs10905716 lBF = `0.420621` Chr`10` : `6,114,010`	0.000	1.000	0.000
rs7897654 lBF = `0.105359` Chr`10` : `104,662,458`	0.000	1.000	0.000
rs2797501 lBF = `0.0188912` Chr`10` : `5,804,531`	0.000	1.000	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	1.000	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs7907361 lBF = `-0.0323936` Chr`10` : `114,468,137`	0.000	1.000	0.000
rs10466239 lBF = `-0.0375921` Chr`10` : `43,849,827`	0.000	1.000	0.000
rs6479891 lBF = `-0.0454928` Chr`10` : `65,006,456`	0.000	1.000	0.000
rs11017221 lBF = `-0.0459045` Chr`10` : `132,168,065`	0.000	1.000	0.000
rs3750817 lBF = `29.8203` Chr`10` : `123,332,577`	0.000	1.000	0.000
rs1912580 lBF = `11.2701` Chr`10` : `9,036,982`	0.000	1.000	0.000
rs3818285 lBF = `0.148536` Chr`10` : `111,635,212`	0.000	1.000	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.000	1.000	0.000
rs12251307 lBF = `0.0447101` Chr`10` : `6,123,495`	0.000	1.000	0.000
rs10510102 lBF = `0.0257227` Chr`10` : `123,625,190`	0.000	1.000	0.000
rs7077335 lBF = `0.00301948` Chr`10` : `6,315,794`	0.000	1.000	0.000
rs2219937 lBF = `-0.00490385` Chr`10` : `84,419,410`	0.000	1.000	0.000
rs4536103 lBF = `-0.0915006` Chr`10` : `71,332,204`	0.000	1.000	0.000
rs4880487 lBF = `-0.108311` Chr`10` : `1,246,883`	0.000	1.000	0.000
rs11239550 lBF = `11.2335` Chr`10` : `46,024,729`	0.000	1.000	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.000	1.000	0.000
rs7915137 lBF = `0.368805` Chr`10` : `84,870,076`	0.000	1.000	0.000
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	1.000	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs8181477 lBF = `-0.0642013` Chr`10` : `18,782,880`	0.000	1.000	0.000
rs3750846 lBF = `14.8239` Chr`10` : `124,215,565`	0.000	1.000	0.000
rs3750848 lBF = `14.7959` Chr`10` : `124,215,315`	0.000	1.000	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.000	1.000	0.000
rs2862614 lBF = `5.02918` Chr`10` : `101,190,520`	0.000	1.000	0.000
rs41295115 lBF = `0.105064` Chr`10` : `6,124,621`	0.000	1.000	0.000
rs1248993 lBF = `-0.0100076` Chr`10` : `29,027,223`	0.000	1.000	0.000
rs77329626 lBF = `-0.0147371` Chr`10` : `61,664,195`	0.000	1.000	0.000
rs11101442 lBF = `-0.0478949` Chr`10` : `49,936,336`	0.000	1.000	0.000
rs2995271 lBF = `-0.0621805` Chr`10` : `30,519,832`	0.000	1.000	0.000
rs7916697 lBF = `-0.0650501` Chr`10` : `69,991,853`	0.000	1.000	0.000
rs2420903 lBF = `-0.10042` Chr`10` : `122,802,506`	0.000	1.000	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.000	1.000	0.000
rs56103207 lBF = `6.54193` Chr`10` : `71,275,195`	0.000	1.000	0.000
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.000	1.000	0.000
rs1625975 lBF = `0.0581198` Chr`10` : `73,422,284`	0.000	1.000	0.000
rs1334893 lBF = `0.031193` Chr`10` : `27,693,305`	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 X0281

log Bayes Factor = 108.466

contains 7 variants

0.4109

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2162

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.0829

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9942

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9809

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9793

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9618

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9603

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9490

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9386

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9273

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9265

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9137

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9036

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8967

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8877

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8782

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8737

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8646

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8631

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8271

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8193

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8171

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8158

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8144

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8123

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8031

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7900

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7829

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7808

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7652

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7643

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7600

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7566

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7514

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7163

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7144

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7101

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7093

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6972

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6964

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6940

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6914

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6850

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6839

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6777

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6686

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6568

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6510

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6441

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6436

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6352

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6194

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6081

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6038

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5906

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5775

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5648

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5519

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5477

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5475

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5464

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5431

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5384

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.5313

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5194

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5106

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4944

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4914

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4902

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4887

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4852

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4736

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4695

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4677

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4626

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4563

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4477

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4399

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4349

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4123

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4040

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3834

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3813

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3644

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3430

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3423

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3325

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3303

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3240

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3232

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3202

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3110

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2980

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2963

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2958

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.2918

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2899

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2884

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2831

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2802

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2800

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2783

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2737

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2728

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2715

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2565

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2546

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2379

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2346

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2331

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2283

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2240

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2179

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2129

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2041

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2031

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2003

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2002

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1829

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1799

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1710

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1663

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1646

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1596

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1531

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1518

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1510

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1395

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1390

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1360

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1322

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1310

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1305

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1302

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1249

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1192

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1190

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1184

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1161

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1136

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0990

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0976

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0975

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0945

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0938

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0938

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0932

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0923

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0868

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0789

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0768

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0702

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0656

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0631

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0591

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0573

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0542

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.

Parent term	K90-K93 Other diseases of the digestive system
Nested terms	K90.0 Coeliac disease K90.1 Tropical sprue K90.2 Blind loop syndrome, not elsewhere classified K90.3 Pancreatic steatorrhoea K90.4 Malabsorption due to intolerance, not elsewhere classified K90.8 Other intestinal malabsorption K90.9 Intestinal malabsorption, unspecified

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`)