TreeWAS – [D16.7] Ribs, sternum and clavicle

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
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.595	0.405	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.577	0.423	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.566	0.434	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.560	0.439	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.559	0.441	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.557	0.442	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.551	0.449	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.551	0.449	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.550	0.450	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.550	0.450	0.000
rs2071285 lBF = `78.0918` Chr`6` : `32,180,431`	0.546	0.454	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.543	0.457	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.536	0.463	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.531	0.469	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.528	0.472	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.523	0.477	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.523	0.477	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.521	0.478	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.516	0.484	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.514	0.486	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.514	0.486	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.514	0.486	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.513	0.486	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.513	0.487	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.513	0.487	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.513	0.487	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.513	0.487	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.512	0.487	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.512	0.487	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.512	0.488	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.512	0.488	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.511	0.488	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.511	0.488	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.511	0.489	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.511	0.489	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.511	0.489	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.511	0.489	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.511	0.489	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.511	0.489	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.511	0.489	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.511	0.489	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.510	0.489	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.510	0.489	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.510	0.490	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.510	0.490	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.510	0.490	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.510	0.490	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.510	0.490	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.509	0.490	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.509	0.490	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.509	0.491	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.509	0.491	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.508	0.491	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.507	0.492	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.507	0.492	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.507	0.492	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.507	0.493	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.505	0.495	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.505	0.495	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.504	0.496	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.504	0.496	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.503	0.496	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.503	0.497	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.503	0.497	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.502	0.498	0.000
rs12528886 lBF = `2.11978` Chr`6` : `130,453,882`	0.499	0.500	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.498	0.502	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.494	0.506	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.492	0.508	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.492	0.508	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.490	0.510	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.489	0.511	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.487	0.513	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.486	0.514	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.486	0.514	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.485	0.515	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.484	0.516	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.483	0.517	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.479	0.521	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.479	0.521	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.479	0.521	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.477	0.523	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.476	0.523	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.474	0.526	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.474	0.526	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.473	0.527	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.473	0.527	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.472	0.528	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.472	0.528	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.470	0.529	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.470	0.530	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.467	0.533	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.467	0.533	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.467	0.533	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.466	0.534	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.464	0.536	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.464	0.536	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.463	0.537	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.460	0.540	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.460	0.540	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.459	0.540	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.455	0.544	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.455	0.544	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.451	0.548	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.448	0.551	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.447	0.553	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.446	0.553	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.446	0.554	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.439	0.560	0.000
rs2240066 lBF = `13.7416` Chr`6` : `31,114,335`	0.439	0.561	0.000
rs75932628 lBF = `0.8455` Chr`6` : `41,129,252`	0.433	0.567	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.426	0.574	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.423	0.576	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.421	0.579	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.421	0.579	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.418	0.581	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.416	0.584	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.415	0.585	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.414	0.586	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.411	0.589	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.411	0.589	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.409	0.591	0.000
rs6927354 lBF = `1.01443` Chr`6` : `6,316,313`	0.407	0.593	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.406	0.593	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.400	0.600	0.000
rs75796365 lBF = `0.661072` Chr`6` : `143,362,753`	0.390	0.609	0.000
rs17087007 lBF = `3.23075` Chr`6` : `156,384,967`	0.389	0.611	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.388	0.612	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.386	0.614	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.385	0.615	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.384	0.616	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.384	0.616	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.382	0.618	0.000
rs9461741 lBF = `0.79149` Chr`6` : `32,370,587`	0.380	0.620	0.000
rs116869525 lBF = `4.44373` Chr`6` : `32,389,143`	0.377	0.622	0.000
rs147846168 lBF = `0.921734` Chr`6` : `1,340,742`	0.377	0.623	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.376	0.624	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.369	0.630	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.366	0.634	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.364	0.636	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.362	0.638	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.362	0.638	0.000
rs79014439 lBF = `0.647808` Chr`6` : `24,901,861`	0.361	0.639	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.359	0.641	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.643	0.357
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.355	0.645	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.355	0.645	0.000
rs41268924 lBF = `83.3592` Chr`6` : `32,135,137`	0.354	0.646	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.353	0.646	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.353	0.647	0.000
rs185914258 lBF = `1.39906` Chr`6` : `1,315,795`	0.351	0.648	0.000
rs143050142 lBF = `1.0623` Chr`6` : `167,329,144`	0.351	0.648	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.351	0.649	0.000
rs16875249 lBF = `2.2287` Chr`6` : `14,582,444`	0.350	0.650	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.346	0.653	0.000
rs17086702 lBF = `3.80311` Chr`6` : `156,150,733`	0.343	0.657	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.341	0.659	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.339	0.661	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.335	0.665	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.335	0.665	0.000
rs2646928 lBF = `2.13965` Chr`6` : `37,454,827`	0.333	0.667	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.331	0.668	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.330	0.670	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.330	0.670	0.000
rs186361153 lBF = `1.3404` Chr`6` : `24,992,362`	0.327	0.673	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.326	0.674	0.000
rs2038868 lBF = `0.452029` Chr`6` : `40,328,378`	0.320	0.679	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.680	0.319
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.316	0.683	0.000
rs10947233 lBF = `77.0081` Chr`6` : `32,124,424`	0.313	0.687	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.689	0.311
rs2596480 lBF = `21.5933` Chr`6` : `31,425,985`	0.000	0.695	0.304
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.698	0.302
rs116886320 lBF = `0.822772` Chr`6` : `158,929,960`	0.301	0.699	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.300	0.700	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.300	0.700	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.293	0.706	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.291	0.709	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.286	0.713	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.284	0.716	0.000
rs7758616 lBF = `0.763329` Chr`6` : `14,200,147`	0.283	0.717	0.000
rs137931178 lBF = `0.402177` Chr`6` : `32,329,150`	0.283	0.717	0.000
rs2071288 lBF = `1.86709` Chr`6` : `32,149,260`	0.267	0.733	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.260	0.739	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.259	0.741	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.256	0.744	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.251	0.749	0.000
rs13201465 lBF = `0.594389` Chr`6` : `134,234,093`	0.249	0.751	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.248	0.752	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.246	0.753	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.242	0.758	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.242	0.758	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.239	0.761	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.233	0.767	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.233	0.767	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.231	0.769	0.000
rs41268928 lBF = `83.8648` Chr`6` : `32,147,157`	0.228	0.771	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.228	0.771	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.220	0.780	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.219	0.781	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.213	0.786	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.211	0.789	0.000
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rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.025	0.975	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.024	0.975	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.024	0.975	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.024	0.976	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.024	0.976	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.002	0.976	0.023
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.024	0.976	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.024	0.976	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.024	0.976	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.023	0.976	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.023	0.976	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.023	0.976	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.977	0.023
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.023	0.977	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.023	0.977	0.000
rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.023	0.977	0.000
rs114609017 lBF = `12.1302` Chr`6` : `32,585,632`	0.000	0.977	0.022
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.022	0.977	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.022	0.978	0.000
rs190994806 lBF = `0.0285966` Chr`6` : `10,921,531`	0.022	0.978	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.022	0.978	0.000
rs2524277 lBF = `19.2656` Chr`6` : `31,407,579`	0.000	0.978	0.022
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.022	0.978	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.021	0.978	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.021	0.979	0.000
rs743400 lBF = `25.5334` Chr`6` : `31,607,111`	0.000	0.979	0.021
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.021	0.979	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.021	0.979	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.020	0.979	0.000
rs4959079 lBF = `40.4976` Chr`6` : `31,488,879`	0.020	0.980	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.020	0.980	0.000
rs3218816 lBF = `15.5423` Chr`6` : `30,878,857`	0.020	0.980	0.000
rs116571774 lBF = `18.8021` Chr`6` : `32,594,612`	0.000	0.980	0.019
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.019	0.980	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.019	0.981	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.019	0.981	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.019	0.981	0.000
rs116278466 lBF = `0.0231337` Chr`6` : `75,945,750`	0.018	0.981	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.018	0.981	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.018	0.981	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.018	0.981	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.018	0.982	0.000
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.018	0.982	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.017	0.982	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.017	0.983	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.017	0.983	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.017	0.983	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.017	0.983	0.000
rs28366155 lBF = `20.5581` Chr`6` : `31,658,634`	0.000	0.983	0.016
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.016	0.984	0.000
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.016	0.984	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.016	0.984	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.016	0.984	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.016	0.984	0.000
rs13214791 lBF = `16.0998` Chr`6` : `31,322,762`	0.016	0.984	0.000
rs9383951 lBF = `0.0253914` Chr`6` : `152,295,613`	0.015	0.984	0.000
rs115018313 lBF = `79.0344` Chr`6` : `32,710,407`	0.015	0.984	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.015	0.985	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.015	0.985	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.015	0.985	0.000
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.015	0.985	0.000
rs36099249 lBF = `0.0113906` Chr`6` : `75,890,348`	0.015	0.985	0.000
rs11752643 lBF = `13.3291` Chr`6` : `32,669,373`	0.000	0.985	0.014
rs2479808 lBF = `0.026844` Chr`6` : `21,824,394`	0.014	0.986	0.000
rs2239800 lBF = `29.5051` Chr`6` : `32,713,267`	0.014	0.986	0.000
rs77015620 lBF = `18.4816` Chr`6` : `32,583,783`	0.000	0.986	0.014
rs61743561 lBF = `0.0716612` Chr`6` : `43,153,787`	0.014	0.986	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.014	0.986	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.014	0.986	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.014	0.986	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.013	0.986	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.013	0.987	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.012	0.987	0.001
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.012	0.987	0.001
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.013	0.987	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.013	0.987	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.012	0.987	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.012	0.988	0.000
rs17062407 lBF = `0.00971772` Chr`6` : `133,704,149`	0.012	0.988	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.012	0.988	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.012	0.988	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.012	0.988	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.012	0.988	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.012	0.988	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.012	0.988	0.000
rs9345396 lBF = `0.146464` Chr`6` : `94,489,219`	0.012	0.988	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.012	0.988	0.000
rs10484560 lBF = `20.9867` Chr`6` : `32,298,137`	0.012	0.988	0.000
rs11966200 lBF = `9.36767` Chr`6` : `31,837,066`	0.012	0.988	0.000
rs12525220 lBF = `1.04291` Chr`6` : `32,675,470`	0.000	0.988	0.011
rs9296335 lBF = `0.0148991` Chr`6` : `40,440,500`	0.012	0.988	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.012	0.988	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.011	0.988	0.000
rs34562262 lBF = `78.2871` Chr`6` : `32,020,961`	0.011	0.988	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.011	0.988	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.011	0.989	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.011	0.989	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.2896

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7164

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7164

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7158

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7156

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7132

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7131

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7110

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7075

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7062

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7002

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6988

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6911

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6868

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6806

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6793

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6762

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6732

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6719

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6663

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6655

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6535

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6489

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6479

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6464

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6451

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6437

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6425

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6421

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6394

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6359

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6359

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6338

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6333

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6323

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6293

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6279

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6267

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6261

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6223

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6221

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6210

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6205

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6191

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6163

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6152

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6137

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6132

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6132

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6125

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6121

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6110

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6046

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6008

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5995

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5967

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5949

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5941

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5823

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5820

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5787

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5755

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5755

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5727

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5716

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5705

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5696

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5680

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5646

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5559

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5555

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5534

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5504

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5474

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5470

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5411

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5404

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5354

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5200

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5139

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5111

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5057

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5037

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4954

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4947

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4897

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4788

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4774

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4693

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4594

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4449

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4331

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4288

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4007

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3949

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3927

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3924

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3514

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3481

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3049

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2777

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2772

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2703

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2567

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2562

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2542

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2533

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2347

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1899

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1791

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1701

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1671

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1025

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0894

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0832

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0823

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0819

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0786

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0706

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0691

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0686

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0652

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0561

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0554

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0549

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`)