TreeWAS – [D02] Carcinoma <i>in situ</i> of middle ear and respiratory system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D02

Carcinoma in situ of middle ear and respiratory system

Parent term	D00-D09 In situ neoplasms
Nested terms	D02.0 Larynx D02.1 Trachea D02.2 Bronchus and lung D02.3 Other parts of respiratory system D02.4 Respiratory system, unspecified

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Variant effects

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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
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	0.095	0.905
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	0.103	0.897
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.858	0.142	0.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	0.847	0.153	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.844	0.156	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.000	0.168	0.832
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.000	0.181	0.819
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.811	0.189	0.000
Affx-37072118 lBF = `153.868` Chr`6` : `32,629,809`	0.810	0.190	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.809	0.191	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.808	0.192	0.000
rs9276644 lBF = `145.002` Chr`6` : `32,745,043`	0.805	0.195	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.793	0.207	0.000
rs1130375 lBF = `151.815` Chr`6` : `32,632,820`	0.792	0.208	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.791	0.209	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.790	0.210	0.000
rs1480382 lBF = `143.186` Chr`6` : `32,740,895`	0.790	0.210	0.000
rs9274569 lBF = `284.288` Chr`6` : `32,635,092`	0.790	0.210	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.789	0.211	0.000
rs3948793 lBF = `140.872` Chr`6` : `32,759,448`	0.788	0.212	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.788	0.212	0.000
rs9276612 lBF = `140.702` Chr`6` : `32,742,712`	0.788	0.212	0.000
rs2857165 lBF = `78.1403` Chr`6` : `32,757,737`	0.000	0.213	0.787
rs35915063 lBF = `141.93` Chr`6` : `32,633,519`	0.787	0.213	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.786	0.214	0.000
rs2261566 lBF = `80.4992` Chr`6` : `32,754,081`	0.000	0.214	0.786
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.000	0.215	0.785
rs2857164 lBF = `80.5587` Chr`6` : `32,758,219`	0.000	0.215	0.784
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.784	0.216	0.000
rs34988824 lBF = `148.38` Chr`6` : `32,725,596`	0.783	0.216	0.000
rs2857177 lBF = `79.6504` Chr`6` : `32,752,840`	0.000	0.217	0.783
rs17212223 lBF = `146.779` Chr`6` : `32,651,540`	0.782	0.218	0.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	0.781	0.219	0.000
rs915895 lBF = `208.157` Chr`6` : `32,190,217`	0.779	0.221	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.777	0.223	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.777	0.223	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.774	0.226	0.000
rs1704996 lBF = `30.724` Chr`6` : `33,182,895`	0.772	0.228	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.000	0.231	0.769
rs111461772 lBF = `26.9073` Chr`6` : `33,373,953`	0.768	0.232	0.000
rs2857161 lBF = `85.2086` Chr`6` : `32,759,297`	0.000	0.232	0.768
rs2621387 lBF = `80.6034` Chr`6` : `32,757,971`	0.000	0.236	0.764
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.763	0.236	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.763	0.237	0.000
rs28371206 lBF = `101.509` Chr`6` : `32,636,696`	0.760	0.240	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.760	0.240	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.760	0.240	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.759	0.241	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.758	0.241	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.757	0.243	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.757	0.243	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.757	0.243	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.756	0.244	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.755	0.245	0.000
rs6906021 lBF = `280.702` Chr`6` : `32,626,311`	0.754	0.245	0.000
rs588779 lBF = `8.03801` Chr`2` : `67,665,951`	0.753	0.247	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.753	0.247	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.752	0.248	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.752	0.248	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.752	0.248	0.000
rs3770657 lBF = `7.98305` Chr`2` : `67,630,980`	0.751	0.249	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.750	0.250	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.750	0.250	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.750	0.250	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.750	0.250	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.749	0.250	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.749	0.251	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.749	0.251	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.748	0.252	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.747	0.253	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.747	0.253	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.746	0.254	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.746	0.254	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.745	0.255	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.745	0.255	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.744	0.255	0.000
rs2071285 lBF = `78.0918` Chr`6` : `32,180,431`	0.744	0.256	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.743	0.257	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.743	0.257	0.000
rs12655019 lBF = `5.66192` Chr`5` : `56,195,790`	0.743	0.257	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.742	0.257	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.742	0.258	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.741	0.259	0.000
rs1486134 lBF = `5.73862` Chr`2` : `67,639,769`	0.000	0.259	0.740
rs3769823 lBF = `35.8804` Chr`2` : `202,122,995`	0.740	0.260	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.739	0.261	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.739	0.261	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.738	0.262	0.000
rs2035565 lBF = `7.59028` Chr`2` : `67,619,656`	0.737	0.263	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.735	0.265	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.733	0.267	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.733	0.267	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.732	0.268	0.000
rs2621383 lBF = `85.7764` Chr`6` : `32,759,335`	0.000	0.269	0.731
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	0.731	0.269	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.730	0.269	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.730	0.270	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.730	0.270	0.000
rs12210050 lBF = `42.9031` Chr`6` : `475,489`	0.729	0.271	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.728	0.272	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.727	0.273	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.727	0.273	0.000
rs10931936 lBF = `43.6499` Chr`2` : `202,143,928`	0.727	0.273	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.273	0.727
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.726	0.274	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.726	0.274	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.725	0.275	0.000
rs34835292 lBF = `6.28298` Chr`21` : `17,333,558`	0.725	0.275	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.722	0.277	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.722	0.278	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.722	0.278	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.722	0.278	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.722	0.278	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.720	0.279	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.720	0.280	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.720	0.280	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.719	0.281	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.718	0.282	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.717	0.283	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.716	0.284	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.716	0.284	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.716	0.284	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.715	0.284	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.715	0.285	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.715	0.285	0.000
rs3822625 lBF = `12.3692` Chr`5` : `56,178,111`	0.715	0.285	0.000
rs614367 lBF = `31.3497` Chr`11` : `69,328,764`	0.714	0.286	0.000
rs9383938 lBF = `4.23359` Chr`6` : `151,987,357`	0.714	0.286	0.000
rs16886448 lBF = `12.3207` Chr`5` : `56,170,813`	0.714	0.286	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.714	0.286	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.713	0.286	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.713	0.287	0.000
rs16886364 lBF = `12.9739` Chr`5` : `56,122,344`	0.713	0.287	0.000
rs16886397 lBF = `12.2035` Chr`5` : `56,134,276`	0.713	0.287	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.713	0.287	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.712	0.288	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.712	0.288	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.712	0.288	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.712	0.288	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.711	0.288	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.711	0.289	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.711	0.289	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.711	0.289	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.711	0.289	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.710	0.290	0.000
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.709	0.291	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.709	0.291	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.709	0.291	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.709	0.291	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.708	0.292	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.708	0.292	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.707	0.292	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.707	0.293	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.707	0.293	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.706	0.294	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.706	0.294	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.706	0.294	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.706	0.294	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.706	0.294	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.706	0.294	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.705	0.294	0.000
rs4849887 lBF = `3.59808` Chr`2` : `121,245,122`	0.705	0.294	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.705	0.295	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.705	0.295	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.705	0.295	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.704	0.295	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.704	0.296	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.703	0.297	0.000
rs1842399 lBF = `45.8697` Chr`6` : `32,753,313`	0.000	0.297	0.703
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.703	0.297	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.703	0.297	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.702	0.298	0.000
rs2080303 lBF = `44.1752` Chr`2` : `202,165,206`	0.000	0.298	0.702
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.702	0.298	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.702	0.298	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.701	0.299	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.701	0.299	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.701	0.299	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.701	0.299	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.701	0.299	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.701	0.299	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.701	0.299	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.700	0.299	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.700	0.299	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.700	0.299	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.700	0.300	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.700	0.300	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.700	0.300	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.699	0.301	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.699	0.301	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.699	0.301	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.699	0.301	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.699	0.301	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.698	0.301	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.698	0.301	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.698	0.301	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.698	0.302	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.698	0.302	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.698	0.302	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.698	0.302	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.698	0.302	0.000
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rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.662	0.338	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.662	0.338	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.661	0.339	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.661	0.339	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.661	0.339	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.661	0.339	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.661	0.339	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.660	0.339	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.660	0.339	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.660	0.339	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.660	0.340	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.660	0.340	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.660	0.340	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.660	0.340	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.660	0.340	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.660	0.340	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.660	0.340	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.660	0.340	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.660	0.340	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.660	0.340	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.659	0.340	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.659	0.341	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.659	0.341	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.659	0.341	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.659	0.341	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.659	0.341	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.659	0.341	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.659	0.341	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.659	0.341	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.658	0.341	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.658	0.342	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.658	0.342	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.658	0.342	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.658	0.342	0.000
rs12180820 lBF = `81.2043` Chr`6` : `28,316,478`	0.658	0.342	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.658	0.342	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.658	0.342	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.658	0.342	0.000
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	0.658	0.342	0.000
rs2856718 lBF = `145.895` Chr`6` : `32,670,255`	0.658	0.342	0.000
rs16886113 lBF = `13.5424` Chr`5` : `55,995,035`	0.658	0.342	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.657	0.343	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.657	0.343	0.000
rs7744001 lBF = `89.8738` Chr`6` : `32,626,086`	0.657	0.343	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.657	0.343	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.657	0.343	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.657	0.343	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.657	0.343	0.000
rs28534808 lBF = `16.0989` Chr`6` : `32,633,855`	0.000	0.343	0.657
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.657	0.343	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.657	0.343	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.657	0.343	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.657	0.343	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.657	0.343	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.657	0.343	0.000
rs1264703 lBF = `126.619` Chr`6` : `30,065,416`	0.656	0.344	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.655	0.345	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.655	0.345	0.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	0.655	0.345	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.655	0.345	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.655	0.345	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.655	0.345	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.655	0.345	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.654	0.345	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.654	0.346	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.654	0.346	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.654	0.346	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.654	0.346	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.654	0.346	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.654	0.346	0.000
rs9268853 lBF = `248.885` Chr`6` : `32,429,643`	0.654	0.346	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.654	0.346	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	0.653	0.347	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.653	0.347	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.653	0.347	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.653	0.347	0.000
rs2647050 lBF = `146.729` Chr`6` : `32,669,767`	0.653	0.347	0.000
rs9268905 lBF = `248.25` Chr`6` : `32,432,077`	0.653	0.347	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.653	0.347	0.000
rs2621377 lBF = `55.7971` Chr`6` : `32,763,110`	0.000	0.347	0.652
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.652	0.347	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.652	0.347	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.652	0.348	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.652	0.348	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.652	0.348	0.000
rs12202284 lBF = `42.0482` Chr`6` : `471,136`	0.651	0.348	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.651	0.349	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.651	0.349	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.651	0.349	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.651	0.349	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.651	0.349	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.651	0.349	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.650	0.349	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.650	0.349	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.650	0.350	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.650	0.350	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.650	0.350	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6370

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.3272

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.3085

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9850

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9466

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9389

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9253

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9243

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9185

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9081

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9033

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8991

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8814

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8803

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8782

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8710

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8678

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8670

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8620

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8605

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8545

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8466

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8395

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8389

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8236

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8100

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8088

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8082

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8062

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8054

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8032

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8004

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7951

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7950

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7939

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7937

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7881

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7868

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7785

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7757

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.7730

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7694

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7630

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7629

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7604

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7603

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7593

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7445

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7424

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7302

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7182

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7173

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7168

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7168

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7167

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7167

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7167

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7165

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7164

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7164

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7160

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7159

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7158

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7155

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7154

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7154

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7152

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7149

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7148

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7147

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7146

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7145

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7145

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7141

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7140

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7128

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7121

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7116

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7116

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7115

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7115

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7114

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7103

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7097

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7091

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7074

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7064

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7063

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7060

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7058

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7054

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7044

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7003

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6998

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6989

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6977

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6950

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6940

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6927

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6907

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6895

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6865

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6857

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6826

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6818

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6804

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6791

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6781

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6765

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6740

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6726

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6706

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6644

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6634

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6571

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6566

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6543

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6496

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6450

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6439

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6402

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6296

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6276

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6239

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6201

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6156

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6151

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6125

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6110

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6095

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6082

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5948

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5907

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5870

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5812

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5801

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5778

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5676

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5455

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5447

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5425

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5420

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5330

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.5236

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5176

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4952

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4903

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4865

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4713

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4433

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4390

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4170

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4165

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.4117

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4105

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3796

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3657

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3585

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3307

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3193

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3162

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3145

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2896

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2875

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2865

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2738

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2676

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2535

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2221

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2209

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2094

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2073

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1938

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1850

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.1751

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1728

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1645

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1568

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1317

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1247

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.1098

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1021

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0939

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0851

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0788

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0648

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0630

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`)