TreeWAS – [G61] Inflammatory polyneuropathy

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

G61

Inflammatory polyneuropathy

Parent term	G60-G64 Polyneuropathies and other disorders of the peripheral nervous system
Nested terms	G61.0 Guillain-Barre syndrome G61.1 Serum neuropathy G61.8 Other inflammatory polyneuropathies G61.9 Inflammatory polyneuropathy, 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
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.924	0.076	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.917	0.083	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.911	0.089	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.911	0.089	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.908	0.092	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.899	0.101	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.892	0.108	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.891	0.109	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.891	0.109	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.877	0.123	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.877	0.123	0.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.873	0.127	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.872	0.128	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.871	0.129	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.130	0.870
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.870	0.130	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.865	0.135	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.862	0.138	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.860	0.140	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.849	0.151	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.849	0.151	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.844	0.156	0.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	0.156	0.844
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.842	0.158	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.842	0.158	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.842	0.158	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.841	0.159	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.841	0.159	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.840	0.160	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.840	0.160	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.838	0.162	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.837	0.163	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.167	0.833
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.833	0.167	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.832	0.168	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.832	0.168	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.831	0.169	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.831	0.169	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.830	0.170	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.830	0.170	0.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.170	0.830
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.829	0.171	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.825	0.175	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.823	0.177	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.823	0.177	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.822	0.178	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.822	0.178	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.820	0.180	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.817	0.183	0.000
rs3135365 lBF = `229.562` Chr`6` : `32,389,255`	0.001	0.184	0.816
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.816	0.184	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.815	0.185	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.814	0.186	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.811	0.189	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.810	0.190	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.190	0.810
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.190	0.810
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.808	0.192	0.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.194	0.806
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	0.194	0.806
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.804	0.196	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.803	0.197	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.803	0.197	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.800	0.200	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	0.800	0.200	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.201	0.799
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.799	0.201	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.798	0.202	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.798	0.202	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.796	0.203	0.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.204	0.796
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.796	0.204	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.796	0.204	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.795	0.204	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.795	0.205	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.794	0.206	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.206	0.794
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.794	0.206	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.790	0.210	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.790	0.210	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.789	0.211	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.789	0.211	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.789	0.211	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.788	0.212	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.787	0.213	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.786	0.214	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.786	0.214	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.786	0.214	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.785	0.215	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.784	0.216	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.784	0.216	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.781	0.219	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.780	0.220	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.778	0.222	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.778	0.222	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.777	0.223	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.776	0.224	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.776	0.224	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.776	0.224	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.776	0.224	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.775	0.225	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.773	0.227	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.772	0.228	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.772	0.228	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.770	0.230	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.769	0.231	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.769	0.231	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.768	0.232	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.768	0.232	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.768	0.232	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.767	0.233	0.000
rs12655917 lBF = `1.58029` Chr`5` : `77,291,940`	0.767	0.233	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.766	0.234	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.766	0.234	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.766	0.234	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.765	0.234	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.765	0.235	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.764	0.236	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.764	0.236	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.763	0.237	0.000
rs4959027 lBF = `230.102` Chr`6` : `32,383,050`	0.001	0.237	0.763
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.763	0.237	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.763	0.237	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.762	0.238	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.762	0.238	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.762	0.238	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.762	0.238	0.000
rs3916765 lBF = `217.868` Chr`6` : `32,685,550`	0.760	0.240	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.758	0.242	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.758	0.242	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.758	0.242	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.758	0.242	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.757	0.243	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.756	0.244	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.756	0.244	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.756	0.244	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.754	0.246	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.246	0.754
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.752	0.247	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.752	0.248	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.752	0.248	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.752	0.248	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.751	0.249	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.750	0.250	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.750	0.250	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.750	0.250	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.750	0.250	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.749	0.251	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.748	0.251	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.748	0.252	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.748	0.252	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.748	0.252	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.747	0.253	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.747	0.253	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.746	0.254	0.000
rs9275614 lBF = `213.979` Chr`6` : `32,684,257`	0.746	0.254	0.000
rs3135377 lBF = `230.633` Chr`6` : `32,385,399`	0.000	0.255	0.745
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.744	0.256	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.744	0.256	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.744	0.256	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.744	0.256	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.744	0.256	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.743	0.257	0.000
rs2395165 lBF = `231.325` Chr`6` : `32,388,144`	0.000	0.257	0.742
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.742	0.258	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.742	0.258	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.741	0.259	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.741	0.259	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.739	0.261	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.737	0.263	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.737	0.263	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.736	0.264	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.735	0.265	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.735	0.265	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.735	0.265	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.734	0.266	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.734	0.266	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.734	0.266	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.733	0.267	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.733	0.267	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.732	0.268	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.268	0.732
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.732	0.268	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.731	0.268	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.731	0.269	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.731	0.269	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.729	0.271	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.729	0.271	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.729	0.271	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.729	0.271	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.728	0.271	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.728	0.272	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.728	0.272	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.728	0.272	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.728	0.272	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.728	0.272	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.727	0.273	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.727	0.273	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.726	0.274	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.725	0.275	0.000
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rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.663	0.337	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.663	0.337	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.663	0.337	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.662	0.338	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.662	0.338	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.662	0.338	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.662	0.338	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.662	0.338	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.662	0.338	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.661	0.338	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.661	0.339	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.660	0.340	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.660	0.340	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.660	0.340	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.660	0.340	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.660	0.340	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.659	0.340	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.659	0.340	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.659	0.341	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.659	0.341	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.659	0.341	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.659	0.341	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.659	0.341	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.659	0.341	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.658	0.341	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.658	0.342	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.658	0.342	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.658	0.342	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.658	0.342	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.657	0.343	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.657	0.343	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.657	0.343	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.656	0.344	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.656	0.344	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.656	0.344	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.656	0.344	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.656	0.344	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.656	0.344	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.656	0.344	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.656	0.344	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.656	0.344	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.655	0.345	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.655	0.345	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.655	0.345	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.655	0.345	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.655	0.345	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.654	0.345	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.654	0.345	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.654	0.346	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.654	0.346	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.654	0.346	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.654	0.346	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.654	0.346	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.654	0.346	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.653	0.347	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.653	0.347	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.653	0.347	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.653	0.347	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.653	0.347	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.652	0.348	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.652	0.348	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.652	0.348	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.652	0.348	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.652	0.348	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.651	0.348	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.651	0.349	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.651	0.349	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.651	0.349	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.651	0.349	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.650	0.350	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.650	0.350	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.650	0.350	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.650	0.350	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.650	0.350	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.650	0.350	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.650	0.350	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.650	0.350	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.650	0.350	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.649	0.351	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.649	0.351	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.649	0.351	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.649	0.351	0.000
rs12725009 lBF = `3.38119` Chr`1` : `3,413,997`	0.648	0.351	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.648	0.352	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.648	0.352	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.648	0.352	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.648	0.352	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.648	0.352	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.647	0.353	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.647	0.353	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.647	0.353	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.647	0.353	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.647	0.353	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.647	0.353	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.647	0.353	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.647	0.353	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.646	0.353	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.646	0.354	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 X0144

log Bayes Factor = 54.4705

contains 4 variants

0.9429

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4417

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4131

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1323

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9984

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9970

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9958

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9954

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9953

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9945

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9924

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9921

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9906

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9883

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9878

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9857

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9852

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9848

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9833

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9806

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9800

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9796

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9773

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9738

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9700

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9632

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9621

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9569

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9532

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9491

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9456

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9428

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9422

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9420

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9410

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9260

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9215

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9210

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9204

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9126

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8990

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8926

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8884

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8881

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8770

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8757

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8684

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8663

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8611

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8570

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8564

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8554

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8525

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8520

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8494

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8460

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8405

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8392

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8294

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8286

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8264

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8264

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8221

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8219

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8211

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8173

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8148

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8124

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8077

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7999

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7987

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7982

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7977

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7961

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7950

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7906

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7899

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7898

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7884

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7850

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7818

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7771

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7759

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7749

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7731

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7694

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7692

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7667

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7650

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7547

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7533

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7523

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7447

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7382

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7376

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7363

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7339

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7317

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7286

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7269

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7269

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7247

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7244

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7198

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7154

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7154

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7146

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7140

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7129

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7099

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7077

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7029

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7023

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7015

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6950

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6893

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6886

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6881

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6860

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6820

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6800

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6779

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6758

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6739

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6701

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6655

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6647

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6587

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6586

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6554

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6552

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6550

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6514

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6435

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6350

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6301

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6228

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6223

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6204

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6197

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6162

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6126

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6123

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6024

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6022

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6014

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5942

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5877

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5861

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5861

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5728

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5719

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5698

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5638

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5636

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5584

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5559

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5555

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5443

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5427

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5380

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5362

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5347

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5330

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5311

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5295

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5192

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5087

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4980

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4936

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4730

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4697

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4409

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4393

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4333

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4148

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4146

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4023

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4005

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3978

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3922

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3660

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3655

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3620

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3503

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3427

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3414

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3244

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3046

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3011

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2958

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2953

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2920

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2775

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2764

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2509

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2502

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2316

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2202

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2101

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1983

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1719

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1641

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1518

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1483

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1436

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1314

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1279

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1243

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1222

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1212

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0947

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0893

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0757

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0671

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`)