TreeWAS – [K38] Other diseases of appendix

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K38

Other diseases of appendix

Parent term	K35-K38 Diseases of appendix
Nested terms	K38.0 Hyperplasia of appendix K38.1 Appendicular concretions K38.2 Diverticulum of appendix K38.3 Fistula of appendix K38.8 Other specified diseases of appendix K38.9 Disease of appendix, unspecified

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.967	0.033	0.000
rs11931959 lBF = `18.8103` Chr`4` : `111,719,685`	0.932	0.068	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.907	0.093	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.847	0.153	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.834	0.166	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.824	0.176	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.819	0.181	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.817	0.183	0.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	0.809	0.191	0.000
rs486416 lBF = `185.353` Chr`6` : `31,856,070`	0.803	0.197	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.799	0.201	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.798	0.202	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.796	0.204	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.793	0.207	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.792	0.208	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.792	0.208	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.790	0.210	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.790	0.210	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.789	0.211	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.788	0.212	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.786	0.214	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.782	0.218	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.781	0.219	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.781	0.219	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.780	0.220	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.778	0.222	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.777	0.223	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.775	0.224	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.773	0.227	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.772	0.227	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.228	0.772
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.766	0.234	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.764	0.236	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.764	0.236	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.763	0.237	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.763	0.237	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.762	0.238	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.761	0.239	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.758	0.242	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.757	0.243	0.000
rs11887534 lBF = `270.519` Chr`2` : `44,066,247`	0.754	0.245	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.754	0.246	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.754	0.246	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.754	0.246	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.751	0.249	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.751	0.249	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.750	0.250	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.746	0.254	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.745	0.255	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.744	0.256	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.743	0.257	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.743	0.257	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.741	0.259	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.741	0.259	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.739	0.261	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.738	0.262	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.738	0.262	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.736	0.264	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.736	0.264	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.734	0.266	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.733	0.267	0.000
Affx-20090007 lBF = `271.258` Chr`2` : `44,066,247`	0.732	0.268	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.732	0.268	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.731	0.269	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.728	0.272	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.728	0.272	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.728	0.272	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.728	0.272	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.726	0.274	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.726	0.274	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.725	0.275	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.725	0.275	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.724	0.276	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.723	0.277	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.722	0.278	0.000
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.722	0.278	0.000
rs659445 lBF = `187.083` Chr`6` : `31,864,304`	0.722	0.278	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.721	0.278	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.721	0.279	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.719	0.281	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.718	0.282	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.718	0.282	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.717	0.283	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.716	0.284	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.716	0.284	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.715	0.285	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.715	0.285	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.714	0.286	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.711	0.289	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.710	0.290	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.710	0.290	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.709	0.290	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.709	0.291	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.707	0.292	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.708	0.292	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.707	0.293	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.704	0.296	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.702	0.298	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.702	0.298	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.701	0.299	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.701	0.299	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.700	0.300	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.698	0.301	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.698	0.302	0.000
rs140711597 lBF = `1.13986` Chr`3` : `48,469,441`	0.696	0.304	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.696	0.304	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.695	0.305	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.695	0.305	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.694	0.306	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.694	0.306	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.694	0.306	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.694	0.306	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.693	0.307	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.692	0.308	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.691	0.309	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.690	0.310	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.689	0.311	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.688	0.312	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.688	0.312	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.688	0.312	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.687	0.313	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.313	0.687
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.687	0.313	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.686	0.314	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.686	0.314	0.000
rs577272 lBF = `128.797` Chr`6` : `31,837,963`	0.686	0.314	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.686	0.314	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.685	0.315	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.684	0.315	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.684	0.316	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.684	0.316	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.683	0.317	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.680	0.320	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.680	0.320	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.679	0.320	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.679	0.321	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.678	0.322	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.677	0.322	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.677	0.323	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.677	0.323	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.677	0.323	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.676	0.324	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.676	0.324	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.676	0.324	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.676	0.324	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.676	0.324	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.675	0.325	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.675	0.325	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.675	0.325	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.675	0.325	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.674	0.325	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.674	0.326	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.674	0.326	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.674	0.326	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.673	0.327	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.673	0.327	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.672	0.327	0.000
rs644827 lBF = `129.081` Chr`6` : `31,838,441`	0.673	0.327	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.672	0.328	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.672	0.328	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.671	0.329	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.670	0.330	0.000
rs2242665 lBF = `128.069` Chr`6` : `31,839,309`	0.670	0.330	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.669	0.331	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.669	0.331	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.667	0.333	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.667	0.333	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.666	0.333	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.666	0.334	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.666	0.334	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.665	0.335	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.664	0.335	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.664	0.336	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.664	0.336	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.663	0.336	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.663	0.336	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.663	0.337	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.663	0.337	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.663	0.337	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.662	0.338	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.662	0.338	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.662	0.338	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.661	0.338	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.661	0.339	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.660	0.340	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.660	0.340	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.659	0.341	0.000
rs644774 lBF = `129.034` Chr`6` : `31,838,490`	0.659	0.341	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.658	0.341	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.658	0.341	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.658	0.342	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.657	0.342	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.657	0.343	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.656	0.344	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.656	0.344	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.656	0.344	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.656	0.344	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.655	0.345	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.655	0.345	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.655	0.345	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.655	0.345	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.654	0.346	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.654	0.346	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.654	0.346	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.653	0.347	0.000
rs28584179 lBF = `81.4202` Chr`6` : `32,626,119`	0.000	0.348	0.652
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.651	0.349	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.651	0.349	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.651	0.349	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.650	0.349	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.650	0.350	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.649	0.351	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.649	0.351	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.648	0.352	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.648	0.352	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.648	0.352	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.648	0.352	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.647	0.352	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.647	0.353	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.647	0.353	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.647	0.353	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.647	0.353	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.647	0.353	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.647	0.353	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.647	0.353	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.645	0.355	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.645	0.355	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.645	0.355	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.645	0.355	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.644	0.356	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.644	0.356	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.643	0.356	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.643	0.357	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.643	0.357	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.643	0.357	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.642	0.357	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.642	0.358	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.641	0.358	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.641	0.358	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.641	0.359	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.641	0.359	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.641	0.359	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.641	0.359	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.640	0.360	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.640	0.360	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.640	0.360	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.640	0.360	0.000
rs3130481 lBF = `107.187` Chr`6` : `31,839,756`	0.640	0.360	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.640	0.360	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.640	0.360	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.639	0.361	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.638	0.362	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.638	0.362	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.637	0.363	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.636	0.363	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.636	0.363	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.636	0.364	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.636	0.364	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.636	0.364	0.000
rs9380240 lBF = `54.5503` Chr`6` : `31,268,832`	0.000	0.365	0.635
rs535586 lBF = `187.866` Chr`6` : `31,860,337`	0.635	0.365	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.634	0.365	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.634	0.366	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.633	0.366	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.633	0.367	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.633	0.367	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.632	0.367	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.632	0.368	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.631	0.369	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.631	0.369	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.630	0.370	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.630	0.370	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.629	0.371	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.628	0.372	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.627	0.372	0.001
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.627	0.372	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.627	0.373	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.627	0.373	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.627	0.373	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.627	0.373	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.627	0.373	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.627	0.373	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.626	0.373	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.626	0.374	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.626	0.374	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.626	0.374	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.625	0.374	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.625	0.375	0.001
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.625	0.375	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.625	0.375	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.625	0.375	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.625	0.375	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.625	0.375	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.624	0.376	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.622	0.378	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.622	0.378	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.622	0.378	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.618	0.379	0.003
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.621	0.379	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.621	0.379	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.621	0.379	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.621	0.379	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.621	0.379	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.621	0.379	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.620	0.379	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.620	0.379	0.001
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.620	0.380	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.620	0.380	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.620	0.380	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.619	0.381	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.619	0.381	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.618	0.381	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.618	0.382	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.618	0.382	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.618	0.382	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.617	0.382	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.617	0.383	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.617	0.383	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.617	0.383	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.617	0.383	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.616	0.384	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.616	0.384	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.614	0.385	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.614	0.386	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.614	0.386	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.614	0.386	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.614	0.386	0.000
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.614	0.386	0.000
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	0.613	0.387	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.613	0.387	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.612	0.387	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.612	0.388	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.612	0.388	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.612	0.388	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.611	0.388	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.611	0.389	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.611	0.389	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.611	0.389	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.608	0.389	0.003
rs13205911 lBF = `183.282` Chr`6` : `28,124,114`	0.602	0.389	0.009
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.611	0.389	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.611	0.389	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.610	0.389	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.610	0.389	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.610	0.390	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.610	0.390	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.610	0.390	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.610	0.390	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.609	0.391	0.000
rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	0.608	0.391	0.002
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.609	0.391	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.608	0.392	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.608	0.392	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.608	0.392	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.608	0.392	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.603	0.393	0.005
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.606	0.393	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.606	0.394	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.605	0.395	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.605	0.395	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.604	0.395	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.604	0.396	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.604	0.396	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.604	0.396	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.604	0.396	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.604	0.396	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.602	0.397	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.602	0.398	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.602	0.398	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.602	0.398	0.000
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.597	0.399	0.004
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.600	0.399	0.001
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.600	0.399	0.002
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.601	0.399	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.601	0.399	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.601	0.399	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.601	0.399	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.601	0.399	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.601	0.399	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.600	0.400	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.600	0.400	0.000
rs17763089 lBF = `171.793` Chr`6` : `27,835,218`	0.597	0.400	0.003
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.600	0.400	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.600	0.400	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.599	0.401	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.599	0.401	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.599	0.401	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.599	0.401	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.598	0.401	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.598	0.402	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.598	0.402	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.597	0.403	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.597	0.403	0.000
rs3130474 lBF = `215.089` Chr`6` : `31,199,256`	0.597	0.403	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.597	0.403	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.597	0.403	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.596	0.404	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.596	0.404	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.595	0.405	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.595	0.405	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.594	0.405	0.001
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.594	0.406	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.594	0.406	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.594	0.406	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.588	0.406	0.005
rs116201121 lBF = `1.88745` Chr`6` : `9,993,737`	0.593	0.406	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.592	0.407	0.002
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.593	0.407	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.592	0.407	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.592	0.408	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.591	0.409	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.589	0.409	0.002
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.590	0.410	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.590	0.410	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.590	0.410	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.589	0.410	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.589	0.410	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.587	0.410	0.003
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.589	0.411	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.589	0.411	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.589	0.411	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.588	0.412	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.588	0.412	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.588	0.412	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.588	0.412	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.588	0.412	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.588	0.412	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.588	0.412	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.587	0.413	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.587	0.413	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.578	0.413	0.009
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.577	0.413	0.010
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.586	0.413	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.586	0.414	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.586	0.414	0.000
rs17693963 lBF = `165.192` Chr`6` : `27,710,165`	0.585	0.415	0.001
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.585	0.415	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.585	0.415	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.584	0.416	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.584	0.416	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.584	0.416	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.584	0.416	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.584	0.416	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.584	0.416	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.583	0.417	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.583	0.417	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.582	0.418	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.582	0.418	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.581	0.418	0.001
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.418	0.582
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.581	0.418	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.581	0.419	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.568	0.419	0.012
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.580	0.420	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.580	0.420	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.580	0.420	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.580	0.420	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.580	0.420	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.579	0.421	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.575	0.421	0.003
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.579	0.421	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.579	0.421	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.578	0.422	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.578	0.422	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.578	0.422	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.577	0.423	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.577	0.423	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.577	0.423	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.577	0.423	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.576	0.423	0.000
rs660594 lBF = `129.166` Chr`6` : `31,837,250`	0.576	0.424	0.000
rs3096691 lBF = `52.4329` Chr`6` : `32,194,854`	0.000	0.424	0.576
rs16832889 lBF = `1.1864` Chr`3` : `181,851,284`	0.576	0.424	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.576	0.424	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.576	0.424	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.575	0.425	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.575	0.425	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.575	0.425	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.575	0.425	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.575	0.425	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.575	0.425	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.575	0.425	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.575	0.425	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.574	0.426	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.568	0.426	0.006
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.574	0.426	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.574	0.426	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.574	0.426	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.574	0.426	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.574	0.426	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.573	0.427	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.573	0.427	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.573	0.427	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.573	0.427	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.572	0.428	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.572	0.428	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.567	0.428	0.005
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.572	0.428	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.572	0.428	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.568	0.429	0.003

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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1444

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9949

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9943

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9883

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9817

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9790

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9755

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9721

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9715

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9688

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9613

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9573

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9531

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9507

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9353

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9254

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9114

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9079

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9071

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9060

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9030

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8984

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8976

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8805

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8795

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8732

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8697

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8674

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8569

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8561

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8549

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8545

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8543

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8541

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8467

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8350

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8338

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8320

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8279

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8260

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8259

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8253

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8248

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8193

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8050

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8013

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7986

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7839

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7832

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7803

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7796

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7777

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7750

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7744

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7706

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7539

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7529

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7496

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7433

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7350

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7327

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7288

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7213

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7180

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7050

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7019

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6940

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6843

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6836

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6812

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6682

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6671

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6581

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6510

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6415

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6336

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6256

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6205

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6165

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6152

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6120

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5751

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5641

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5630

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5609

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5593

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5579

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5560

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5460

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5460

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5430

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5377

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5324

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5254

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4886

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4883

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4806

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4706

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4624

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4589

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4584

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4526

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4508

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4297

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4278

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4274

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4213

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4213

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4179

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4081

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3980

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3942

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3917

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3797

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3732

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3707

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3701

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3635

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3585

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3469

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3405

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3320

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3304

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3008

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2965

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2786

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2717

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2680

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2665

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2602

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2594

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2517

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2459

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2141

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1988

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1979

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1953

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1941

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1844

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1844

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1736

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1724

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1684

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1545

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1521

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1472

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1349

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1195

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1139

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0988

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0946

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0940

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0884

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0858

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0696

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0639

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0616

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)

Hospitalization Episode Statistics (`HES`)