TreeWAS – [I51.6] Cardiovascular disease, unspecified

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
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.933	0.067	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.930	0.070	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.072	0.928
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.916	0.084	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.915	0.085	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.913	0.087	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.911	0.089	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.905	0.095	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.902	0.098	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.902	0.098	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.901	0.099	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.885	0.115	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.884	0.116	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.883	0.117	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.882	0.118	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.874	0.126	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.869	0.131	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.866	0.134	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.862	0.138	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.861	0.139	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.861	0.139	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.855	0.145	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.854	0.146	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.847	0.153	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.843	0.157	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.838	0.162	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.836	0.164	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.836	0.164	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.833	0.167	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.832	0.168	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.831	0.169	0.000
rs3002141 lBF = `11.4412` Chr`1` : `222,787,302`	0.000	0.169	0.831
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.827	0.173	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.821	0.179	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.819	0.181	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.818	0.182	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.817	0.183	0.000
rs2936052 lBF = `14.2487` Chr`1` : `222,802,376`	0.000	0.184	0.816
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.814	0.186	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.810	0.190	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.807	0.193	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.807	0.193	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.806	0.194	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.801	0.199	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.199	0.801
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.798	0.202	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.796	0.203	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.793	0.207	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.792	0.208	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.788	0.212	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.781	0.219	0.000
rs17615906 lBF = `13.0692` Chr`5` : `128,018,413`	0.778	0.222	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.778	0.222	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.773	0.227	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.772	0.228	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.771	0.228	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.771	0.229	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.770	0.230	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.769	0.231	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.767	0.232	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.767	0.233	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.233	0.767
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.766	0.234	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.764	0.236	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.764	0.236	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.762	0.238	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.761	0.239	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.761	0.239	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.761	0.239	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.760	0.240	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.759	0.241	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.759	0.241	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.757	0.243	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.756	0.244	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.754	0.246	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.754	0.246	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.753	0.247	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.753	0.247	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.750	0.250	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.750	0.250	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.748	0.252	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.748	0.252	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.744	0.256	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.743	0.257	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.743	0.257	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.742	0.258	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.741	0.259	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.739	0.261	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.738	0.262	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.737	0.263	0.000
rs41265930 lBF = `11.9369` Chr`6` : `160,964,135`	0.000	0.264	0.736
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.734	0.266	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.734	0.266	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.733	0.267	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.733	0.267	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.732	0.268	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.732	0.268	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.730	0.270	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.730	0.270	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.730	0.270	0.000
rs3130071 lBF = `117.396` Chr`6` : `31,594,628`	0.000	0.271	0.729
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.728	0.272	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.726	0.274	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.726	0.274	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.726	0.274	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.725	0.275	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.725	0.275	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.725	0.275	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.723	0.277	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.723	0.277	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.723	0.277	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.722	0.278	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.722	0.278	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.721	0.279	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.720	0.280	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.717	0.283	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.716	0.283	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.716	0.284	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.716	0.284	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.715	0.285	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.715	0.285	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.715	0.285	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.714	0.285	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.714	0.286	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.714	0.286	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.714	0.286	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.713	0.286	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.713	0.287	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.713	0.287	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.713	0.287	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.713	0.287	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.713	0.287	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.713	0.287	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.712	0.287	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.712	0.287	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.712	0.288	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.712	0.288	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.712	0.288	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.711	0.289	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.711	0.289	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.711	0.289	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.710	0.290	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.710	0.290	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.710	0.290	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.710	0.290	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.710	0.290	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.710	0.290	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.709	0.290	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.708	0.291	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.708	0.292	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.708	0.292	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.708	0.292	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.708	0.292	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.708	0.292	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.707	0.293	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.707	0.293	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.707	0.293	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.706	0.293	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.706	0.294	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.706	0.294	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.706	0.294	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.706	0.294	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.706	0.294	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.706	0.294	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.705	0.295	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.705	0.295	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.705	0.295	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.705	0.295	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.705	0.295	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.705	0.295	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.705	0.295	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.705	0.295	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.705	0.295	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.705	0.295	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.704	0.295	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.704	0.296	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.704	0.296	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.704	0.296	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.703	0.296	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.703	0.297	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.703	0.297	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.703	0.297	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.703	0.297	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.703	0.297	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.703	0.297	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.703	0.297	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.703	0.297	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.702	0.297	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.702	0.297	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.702	0.298	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.702	0.298	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.702	0.298	0.000
rs12212507 lBF = `8.99` Chr`6` : `161,071,982`	0.000	0.298	0.702
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.702	0.298	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.702	0.298	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.702	0.298	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.702	0.298	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.702	0.298	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.702	0.298	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.701	0.298	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.701	0.299	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.701	0.299	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.701	0.299	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.701	0.299	0.000
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rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.663	0.337	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.663	0.337	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.663	0.337	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.663	0.337	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.663	0.337	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.663	0.337	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.662	0.338	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.662	0.338	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.661	0.338	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.661	0.338	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.661	0.338	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.661	0.339	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.661	0.339	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.661	0.339	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.661	0.339	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.661	0.339	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.661	0.339	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.661	0.339	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.661	0.339	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.660	0.339	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.660	0.339	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.660	0.340	0.000
rs41272114 lBF = `9.8013` Chr`6` : `161,006,077`	0.000	0.340	0.660
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.660	0.340	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.660	0.340	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.659	0.341	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.659	0.341	0.000
rs12214416 lBF = `11.1563` Chr`6` : `160,910,517`	0.000	0.341	0.659
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.659	0.341	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.659	0.341	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.659	0.341	0.000
rs77170649 lBF = `7.49398` Chr`6` : `135,010,546`	0.659	0.341	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.659	0.341	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.659	0.341	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.659	0.341	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.659	0.341	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.658	0.342	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.658	0.342	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.657	0.343	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.657	0.343	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.657	0.343	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.657	0.343	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.656	0.344	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.656	0.344	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.656	0.344	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.656	0.344	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.656	0.344	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.655	0.344	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.655	0.345	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.655	0.345	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.654	0.346	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.654	0.346	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.654	0.346	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.654	0.346	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.654	0.346	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.654	0.346	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.654	0.346	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.654	0.346	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.654	0.346	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.653	0.347	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.653	0.347	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.652	0.348	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.652	0.348	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.652	0.348	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.652	0.348	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.652	0.348	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.652	0.348	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.652	0.348	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.651	0.349	0.000
rs3798305 lBF = `1.4473` Chr`6` : `167,363,473`	0.651	0.349	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.651	0.349	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.651	0.349	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.650	0.349	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.650	0.349	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.650	0.350	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.650	0.350	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.650	0.350	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.350	0.650
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.650	0.350	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.649	0.351	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.649	0.351	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.649	0.351	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.649	0.351	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.649	0.351	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.648	0.352	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.647	0.352	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.647	0.353	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.647	0.353	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.647	0.353	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.646	0.354	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.646	0.354	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.646	0.354	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.646	0.354	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.7221

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.6392

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3678

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2392

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9866

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9596

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9491

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9460

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9439

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9393

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9203

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9118

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9050

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9032

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9022

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9016

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8887

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8833

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8719

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8687

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8611

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8527

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8448

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8405

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8393

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8363

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8334

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8324

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8257

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8234

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8234

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8174

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8137

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8111

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8064

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.8062

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8028

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8007

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7856

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7819

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7805

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7799

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7763

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7756

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7690

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7648

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7555

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7533

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7487

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7477

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7476

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7385

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7294

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7269

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7168

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7165

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7154

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7142

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7134

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7125

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7112

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7045

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7041

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7030

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6908

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6845

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6731

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6669

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6654

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6631

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6596

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6596

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6588

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6559

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6545

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6348

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6331

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6297

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6237

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6227

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6178

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6027

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5914

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5907

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5832

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5520

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5493

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5395

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5112

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5030

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4935

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4876

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4864

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4684

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4356

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4315

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4281

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4244

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4184

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3711

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3542

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3523

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3483

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3479

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3323

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3283

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3192

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3036

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2996

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2915

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2859

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2808

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2685

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2535

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2317

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2154

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1949

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1848

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1806

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1805

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1781

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1761

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1742

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1726

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1713

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1590

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1560

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1534

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1530

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1511

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1119

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1080

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0992

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0968

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0951

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0861

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0850

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0803

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0786

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0768

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0731

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0695

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0685

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0650

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0537

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0528

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`)