TreeWAS – [K90.8] Other 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
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.873	0.127	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.870	0.130	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.870	0.130	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	0.000	0.132	0.868
rs2523454 lBF = `206.037` Chr`6` : `31,367,865`	0.859	0.141	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.858	0.142	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.858	0.142	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.856	0.144	0.000
Affx-28423542 lBF = `105.199` Chr`6` : `30,075,864`	0.853	0.147	0.000
rs2023472 lBF = `98.8104` Chr`6` : `30,075,864`	0.000	0.148	0.852
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.852	0.148	0.000
rs2523451 lBF = `189.434` Chr`6` : `31,369,151`	0.852	0.148	0.000
rs5007259 lBF = `246.316` Chr`6` : `32,379,101`	0.851	0.149	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.851	0.149	0.000
rs5007265 lBF = `245.726` Chr`6` : `32,378,866`	0.851	0.149	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.851	0.149	0.000
rs9268507 lBF = `245.958` Chr`6` : `32,377,539`	0.850	0.150	0.000
rs6926737 lBF = `247.282` Chr`6` : `32,375,745`	0.850	0.150	0.000
rs5007263 lBF = `245.895` Chr`6` : `32,378,982`	0.850	0.150	0.000
rs241429 lBF = `122.708` Chr`6` : `32,803,840`	0.848	0.152	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.848	0.152	0.000
rs5007258 lBF = `245.663` Chr`6` : `32,379,239`	0.847	0.153	0.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	0.000	0.158	0.842
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.841	0.159	0.000
rs3094204 lBF = `80.1018` Chr`6` : `31,091,992`	0.840	0.160	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.839	0.161	0.000
rs9268402 lBF = `236.258` Chr`6` : `32,341,353`	0.838	0.161	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.837	0.163	0.000
rs707938 lBF = `236.606` Chr`6` : `31,729,359`	0.836	0.164	0.000
rs2251396 lBF = `222.188` Chr`6` : `31,364,707`	0.834	0.166	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.831	0.169	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.831	0.169	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.830	0.170	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.829	0.171	0.000
rs2516500 lBF = `218.481` Chr`6` : `31,453,640`	0.826	0.173	0.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	0.000	0.174	0.826
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	0.000	0.176	0.824
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	0.000	0.176	0.824
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.000	0.177	0.823
rs2736171 lBF = `150.484` Chr`6` : `31,595,487`	0.000	0.177	0.823
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.822	0.178	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	0.000	0.178	0.822
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	0.000	0.178	0.822
rs2857693 lBF = `151.044` Chr`6` : `31,588,384`	0.000	0.178	0.822
rs2857697 lBF = `151.904` Chr`6` : `31,585,219`	0.000	0.179	0.821
rs2242665 lBF = `128.069` Chr`6` : `31,839,309`	0.820	0.180	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.819	0.181	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.818	0.182	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.818	0.182	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.818	0.182	0.000
rs887464 lBF = `145.378` Chr`6` : `31,145,920`	0.816	0.183	0.000
rs29001568 lBF = `291.101` Chr`6` : `32,447,341`	0.000	0.185	0.815
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.814	0.186	0.000
rs805293 lBF = `115.956` Chr`6` : `31,688,518`	0.000	0.186	0.814
rs707939 lBF = `162.022` Chr`6` : `31,726,688`	0.000	0.186	0.814
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.813	0.187	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.002	0.187	0.811
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.813	0.187	0.000
rs2516415 lBF = `215.848` Chr`6` : `31,459,742`	0.811	0.189	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.807	0.193	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.807	0.193	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.807	0.193	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.806	0.194	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.806	0.194	0.000
rs2844477 lBF = `148.616` Chr`6` : `31,578,772`	0.000	0.194	0.806
rs2523700 lBF = `234.948` Chr`6` : `31,453,029`	0.805	0.194	0.000
rs1264562 lBF = `52.8953` Chr`6` : `30,372,812`	0.804	0.196	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.196	0.804
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.804	0.196	0.000
rs1269556 lBF = `54.4296` Chr`6` : `30,408,787`	0.803	0.197	0.000
rs7763262 lBF = `276.605` Chr`6` : `32,424,882`	0.000	0.197	0.803
rs2524201 lBF = `54.3451` Chr`6` : `30,415,904`	0.802	0.198	0.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.801	0.199	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.800	0.199	0.000
rs7195 lBF = `257.422` Chr`6` : `32,412,539`	0.800	0.200	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.800	0.200	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.800	0.200	0.000
rs2260000 lBF = `150.509` Chr`6` : `31,593,476`	0.000	0.200	0.800
rs2844472 lBF = `150.594` Chr`6` : `31,589,676`	0.000	0.200	0.800
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.800	0.200	0.000
rs2105961 lBF = `54.0731` Chr`6` : `30,415,636`	0.799	0.201	0.000
rs1264513 lBF = `53.9927` Chr`6` : `30,412,362`	0.799	0.201	0.000
rs2523708 lBF = `235.06` Chr`6` : `31,451,279`	0.799	0.201	0.000
rs2227139 lBF = `262.066` Chr`6` : `32,413,459`	0.799	0.201	0.000
rs2736172 lBF = `151.609` Chr`6` : `31,590,898`	0.000	0.201	0.798
rs577272 lBF = `128.797` Chr`6` : `31,837,963`	0.798	0.202	0.000
rs3763327 lBF = `262.587` Chr`6` : `32,413,830`	0.798	0.202	0.000
rs7192 lBF = `262.343` Chr`6` : `32,411,646`	0.798	0.202	0.000
rs3130315 lBF = `167.756` Chr`6` : `32,220,685`	0.000	0.203	0.797
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.797	0.203	0.000
rs2260050 lBF = `150.815` Chr`6` : `31,591,928`	0.000	0.203	0.797
rs644827 lBF = `129.081` Chr`6` : `31,838,441`	0.797	0.203	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.797	0.203	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.796	0.204	0.000
rs1264537 lBF = `52.9154` Chr`6` : `30,390,199`	0.796	0.204	0.000
rs7194 lBF = `262.474` Chr`6` : `32,412,480`	0.796	0.204	0.000
rs644774 lBF = `129.034` Chr`6` : `31,838,490`	0.796	0.204	0.000
rs2213586 lBF = `260.512` Chr`6` : `32,413,094`	0.794	0.206	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.794	0.206	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.794	0.206	0.000
rs2075800 lBF = `150.268` Chr`6` : `31,777,946`	0.000	0.207	0.793
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.792	0.208	0.000
rs2157337 lBF = `230.266` Chr`6` : `32,501,144`	0.792	0.208	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.791	0.209	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.791	0.209	0.000
rs2508015 lBF = `169.83` Chr`6` : `31,010,200`	0.791	0.209	0.000
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	0.791	0.209	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.791	0.209	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.791	0.209	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.790	0.209	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.790	0.210	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.790	0.210	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.790	0.210	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.790	0.210	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.790	0.210	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.790	0.210	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.790	0.210	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.790	0.210	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.790	0.210	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.790	0.210	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.790	0.210	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.790	0.210	0.000
rs3130311 lBF = `166.574` Chr`6` : `32,217,367`	0.000	0.210	0.790
rs2517592 lBF = `121.22` Chr`6` : `30,093,137`	0.790	0.210	0.000
rs2248459 lBF = `243.979` Chr`6` : `31,446,710`	0.789	0.210	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.789	0.211	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	0.789	0.211	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	0.789	0.211	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.789	0.211	0.000
rs2516424 lBF = `237.207` Chr`6` : `31,448,315`	0.788	0.212	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.787	0.213	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.787	0.213	0.000
rs2243429 lBF = `238.954` Chr`6` : `31,446,820`	0.787	0.213	0.000
rs2248613 lBF = `238.537` Chr`6` : `31,448,432`	0.787	0.213	0.000
rs2844502 lBF = `237.343` Chr`6` : `31,445,216`	0.787	0.213	0.000
rs2395488 lBF = `236.699` Chr`6` : `31,445,909`	0.787	0.213	0.000
rs2523990 lBF = `48.6666` Chr`6` : `30,077,229`	0.000	0.213	0.787
rs2248617 lBF = `240.029` Chr`6` : `31,448,533`	0.787	0.213	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.786	0.214	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.786	0.214	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.785	0.215	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.785	0.215	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.785	0.215	0.000
rs4455710 lBF = `227.625` Chr`6` : `32,608,858`	0.785	0.215	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.785	0.215	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.785	0.215	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.785	0.215	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.785	0.215	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.785	0.215	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.785	0.215	0.000
rs660550 lBF = `128.87` Chr`6` : `31,837,277`	0.785	0.215	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.785	0.215	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.784	0.216	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.784	0.216	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.784	0.216	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.784	0.216	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.783	0.217	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.783	0.217	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.783	0.217	0.000
rs1012411 lBF = `98.3036` Chr`6` : `30,332,555`	0.783	0.217	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.783	0.217	0.000
rs2523864 lBF = `147.734` Chr`6` : `31,018,546`	0.783	0.217	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.783	0.217	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.783	0.217	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.783	0.217	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.783	0.217	0.000
rs2647012 lBF = `294.334` Chr`6` : `32,664,458`	0.783	0.217	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.783	0.217	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.782	0.218	0.000
rs2858324 lBF = `293.404` Chr`6` : `32,660,375`	0.782	0.218	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.782	0.218	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.782	0.218	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.782	0.218	0.000
rs2647046 lBF = `293.701` Chr`6` : `32,668,336`	0.781	0.219	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.781	0.219	0.000
rs2858310 lBF = `295.324` Chr`6` : `32,668,323`	0.000	0.219	0.780
rs2647003 lBF = `291.553` Chr`6` : `32,664,880`	0.780	0.219	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.780	0.220	0.000
rs9267971 lBF = `166.2` Chr`6` : `32,217,185`	0.000	0.220	0.780
rs9275572 lBF = `289.208` Chr`6` : `32,678,999`	0.779	0.221	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.779	0.221	0.000
rs3115573 lBF = `167.595` Chr`6` : `32,218,843`	0.000	0.221	0.779
rs2517544 lBF = `195.736` Chr`6` : `31,009,508`	0.779	0.221	0.000
rs2856717 lBF = `292.518` Chr`6` : `32,670,308`	0.779	0.221	0.000
rs4273729 lBF = `292.848` Chr`6` : `32,678,597`	0.000	0.221	0.779
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.779	0.221	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.778	0.222	0.000
rs3132442 lBF = `111.582` Chr`6` : `31,839,494`	0.778	0.222	0.000
rs2523587 lBF = `217.283` Chr`6` : `31,327,400`	0.778	0.222	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.778	0.222	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.778	0.222	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.777	0.223	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.777	0.223	0.000
rs9275524 lBF = `292.625` Chr`6` : `32,675,109`	0.777	0.223	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.777	0.223	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.777	0.223	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.777	0.223	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.777	0.223	0.000
rs2858305 lBF = `288.777` Chr`6` : `32,670,464`	0.776	0.224	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.776	0.224	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.776	0.224	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.776	0.224	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.775	0.225	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.775	0.225	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.775	0.225	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.775	0.225	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.775	0.225	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.775	0.225	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.775	0.225	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.774	0.225	0.000
rs2894240 lBF = `165.564` Chr`6` : `32,217,846`	0.000	0.225	0.774
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.774	0.226	0.000
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rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.774	0.226	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.774	0.226	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.774	0.226	0.000
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rs2894239 lBF = `168.203` Chr`6` : `32,215,796`	0.000	0.227	0.773
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.773	0.227	0.000
rs2844730 lBF = `54.2362` Chr`6` : `30,417,614`	0.773	0.227	0.000
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rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.772	0.228	0.000
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rs6457508 lBF = `169.12` Chr`6` : `32,216,963`	0.000	0.228	0.772
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	0.000	0.228	0.772
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.772	0.228	0.000
rs1077393 lBF = `141.29` Chr`6` : `31,610,529`	0.000	0.229	0.771
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.771	0.229	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.771	0.229	0.000
rs1052486 lBF = `138.645` Chr`6` : `31,610,686`	0.000	0.229	0.771
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.770	0.229	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.770	0.230	0.000
rs2251830 lBF = `148.937` Chr`6` : `31,016,978`	0.770	0.230	0.000
rs2736155 lBF = `138.53` Chr`6` : `31,605,199`	0.000	0.230	0.770
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.770	0.230	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.769	0.231	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.769	0.231	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.769	0.231	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	0.769	0.231	0.000
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rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.768	0.232	0.000
rs2523865 lBF = `148.081` Chr`6` : `31,018,448`	0.768	0.232	0.000
rs660594 lBF = `129.166` Chr`6` : `31,837,250`	0.768	0.232	0.000
rs2516677 lBF = `51.7932` Chr`6` : `30,424,623`	0.768	0.232	0.000
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rs2524179 lBF = `52.0486` Chr`6` : `30,426,152`	0.767	0.233	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.767	0.233	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	0.767	0.233	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.767	0.233	0.000
rs805297 lBF = `117.122` Chr`6` : `31,622,606`	0.000	0.233	0.767
rs3130482 lBF = `110.367` Chr`6` : `31,839,782`	0.767	0.233	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.765	0.235	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.765	0.235	0.000
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rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.764	0.236	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.764	0.236	0.000
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rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.764	0.236	0.000
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rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.764	0.236	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.764	0.236	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.764	0.236	0.000
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rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.762	0.238	0.000
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rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.762	0.238	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.762	0.238	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.762	0.238	0.000
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rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.760	0.240	0.000
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rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.000	0.242	0.758
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rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.757	0.243	0.000
rs2261033 lBF = `206.637` Chr`6` : `31,603,591`	0.000	0.243	0.757
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rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.756	0.244	0.000
Affx-28458228 lBF = `241.371` Chr`6` : `31,474,000`	0.756	0.244	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.756	0.244	0.000
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rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.756	0.244	0.000
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rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.754	0.246	0.000
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rs933208 lBF = `82.7562` Chr`6` : `31,506,648`	0.000	0.257	0.743
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.743	0.257	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.742	0.257	0.001
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.741	0.258	0.001
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.742	0.258	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.742	0.258	0.000
rs2239525 lBF = `79.8251` Chr`6` : `31,509,372`	0.000	0.258	0.742
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.742	0.258	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.741	0.258	0.000
rs1264517 lBF = `34.5833` Chr`6` : `30,410,832`	0.000	0.259	0.741
rs9275407 lBF = `237.54` Chr`6` : `32,670,037`	0.000	0.260	0.740
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	0.740	0.260	0.000
rs1612904 lBF = `312.612` Chr`6` : `32,669,018`	0.739	0.261	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.739	0.261	0.000
rs3130467 lBF = `258.483` Chr`6` : `31,187,075`	0.739	0.261	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.737	0.261	0.002
rs1559876 lBF = `184.931` Chr`6` : `32,215,769`	0.000	0.261	0.739
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.739	0.261	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.738	0.261	0.000
rs1419687 lBF = `33.7685` Chr`6` : `30,415,111`	0.000	0.262	0.738
rs13207140 lBF = `135.303` Chr`6` : `32,427,604`	0.000	0.262	0.738
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	0.737	0.263	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.737	0.263	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.736	0.263	0.000
rs3869132 lBF = `110.641` Chr`6` : `31,410,948`	0.000	0.264	0.736
rs1264511 lBF = `33.5745` Chr`6` : `30,413,972`	0.000	0.264	0.736
rs9295768 lBF = `115.003` Chr`6` : `28,209,102`	0.736	0.264	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.736	0.264	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.736	0.264	0.000
rs13209234 lBF = `139.732` Chr`6` : `32,415,975`	0.000	0.264	0.736
rs967005 lBF = `115.384` Chr`6` : `28,210,688`	0.736	0.264	0.000
rs9393909 lBF = `112.742` Chr`6` : `28,207,200`	0.735	0.265	0.000
rs2076530 lBF = `218.238` Chr`6` : `32,363,816`	0.000	0.265	0.735
rs28732235 lBF = `132.318` Chr`6` : `32,427,841`	0.000	0.265	0.735
Affx-28456540 lBF = `145.563` Chr`6` : `31,412,961`	0.000	0.265	0.735
rs9468317 lBF = `114.533` Chr`6` : `28,198,456`	0.735	0.265	0.000
rs3095325 lBF = `137.164` Chr`6` : `31,086,997`	0.735	0.265	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.734	0.265	0.000
rs3095324 lBF = `137.235` Chr`6` : `31,087,133`	0.734	0.266	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.734	0.266	0.000
rs34075049 lBF = `85.0932` Chr`6` : `32,554,935`	0.002	0.266	0.732
rs2596542 lBF = `80.8861` Chr`6` : `31,366,595`	0.000	0.266	0.734
rs973037 lBF = `234.248` Chr`6` : `32,305,125`	0.000	0.267	0.733
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.732	0.267	0.001
rs9275596 lBF = `302.815` Chr`6` : `32,681,631`	0.733	0.267	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.732	0.267	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.000	0.268	0.732
rs9275371 lBF = `239.231` Chr`6` : `32,668,296`	0.000	0.268	0.732
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.732	0.268	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.731	0.269	0.000
rs17209126 lBF = `137.098` Chr`6` : `32,427,946`	0.000	0.269	0.731
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	0.731	0.269	0.000
rs505274 lBF = `233.162` Chr`6` : `32,294,992`	0.000	0.269	0.731
rs9295747 lBF = `67.7138` Chr`6` : `27,736,993`	0.731	0.269	0.000
rs2516688 lBF = `33.2915` Chr`6` : `30,364,524`	0.000	0.269	0.731
rs28366130 lBF = `82.5897` Chr`6` : `31,363,805`	0.000	0.269	0.731
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	0.730	0.270	0.000
rs1419642 lBF = `52.2894` Chr`6` : `29,392,235`	0.730	0.270	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.730	0.270	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.000	0.270	0.730
rs2517549 lBF = `153.501` Chr`6` : `31,008,598`	0.730	0.270	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.730	0.270	0.000
rs2073046 lBF = `234.117` Chr`6` : `32,336,074`	0.000	0.270	0.730
rs2844529 lBF = `82.6347` Chr`6` : `31,353,593`	0.000	0.270	0.730
rs1264514 lBF = `33.671` Chr`6` : `30,412,045`	0.000	0.270	0.730
rs28895198 lBF = `135.621` Chr`6` : `32,425,044`	0.000	0.271	0.729
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.729	0.271	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.729	0.271	0.000
rs2428486 lBF = `82.6568` Chr`6` : `31,354,104`	0.000	0.271	0.729
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.729	0.271	0.000
rs3177928 lBF = `136.501` Chr`6` : `32,412,435`	0.000	0.271	0.729
rs2428475 lBF = `82.1548` Chr`6` : `31,366,622`	0.000	0.271	0.729
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.729	0.271	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.729	0.271	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.729	0.271	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.729	0.271	0.000
Affx-28454788 lBF = `82.9195` Chr`6` : `31,361,710`	0.000	0.271	0.729
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.729	0.271	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.729	0.271	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.729	0.271	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.729	0.271	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.729	0.271	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.729	0.271	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

0.3284

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1512

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.0518

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7959

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7832

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7364

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7128

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7032

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6896

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6884

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6804

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6729

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6642

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6550

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6478

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6453

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6429

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6364

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6199

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6188

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6178

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5930

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5874

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5858

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5849

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5839

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5824

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5758

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5664

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5613

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5598

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5541

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5486

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5480

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5449

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5425

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5387

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5122

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5091

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5085

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4993

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4912

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4859

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4794

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4709

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4618

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4614

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4554

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4441

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4329

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4234

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4141

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4050

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3927

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3926

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3918

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3895

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3860

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3725

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3691

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3662

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3545

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3523

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3515

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3504

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3480

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3396

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3367

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3317

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3272

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3211

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3154

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3139

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3119

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2897

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2834

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2750

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2734

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2730

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2638

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2613

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.2610

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2455

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2384

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2369

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2325

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2324

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2296

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2233

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2230

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2223

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2137

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2125

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2079

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2030

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2010

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2008

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1964

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1957

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1947

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1842

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1840

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1739

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1683

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1638

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1563

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1527

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1464

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1457

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1437

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1436

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1312

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1291

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1227

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1194

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1181

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1099

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1089

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1084

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1076

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1074

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1001

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0997

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0949

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0940

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0937

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0937

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0935

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0856

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0855

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0833

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0816

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0711

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0701

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0700

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0679

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0674

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0669

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0663

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0624

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0567

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0552

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0505

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`)