TreeWAS – [F32.0] Mild depressive episode

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
rs295688 lBF = `1.3418` Chr`5` : `73,716,118`	0.935	0.065	0.000
rs3842979 lBF = `3.15581` Chr`9` : `28,359,979`	0.928	0.072	0.000
rs17221323 lBF = `3.71226` Chr`10` : `618,685`	0.892	0.108	0.000
rs2341917 lBF = `2.12265` Chr`2` : `111,711,089`	0.887	0.113	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.885	0.115	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.884	0.116	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.855	0.144	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.851	0.149	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.849	0.151	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.849	0.151	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.848	0.152	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.848	0.152	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.843	0.157	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.842	0.158	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.842	0.158	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.842	0.158	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.838	0.162	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.832	0.168	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.831	0.169	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.830	0.170	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.828	0.172	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.828	0.172	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.824	0.176	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.823	0.177	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.823	0.177	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.818	0.182	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.818	0.182	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.817	0.183	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.816	0.184	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.814	0.186	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.812	0.188	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.812	0.188	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.810	0.190	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.810	0.190	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.808	0.192	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.808	0.192	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.807	0.193	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.805	0.195	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.803	0.197	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.803	0.197	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.803	0.197	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.803	0.197	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.803	0.197	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.802	0.198	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.800	0.200	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.800	0.200	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.799	0.201	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.799	0.201	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.799	0.201	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.799	0.201	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.798	0.202	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.797	0.203	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.797	0.203	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.797	0.203	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.796	0.204	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.796	0.204	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.796	0.204	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.793	0.207	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.793	0.207	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.791	0.209	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.791	0.209	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.790	0.210	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.787	0.213	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.787	0.213	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.786	0.213	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.786	0.214	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.785	0.215	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.785	0.215	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.785	0.215	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.785	0.215	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.785	0.215	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.784	0.216	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.782	0.218	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.782	0.218	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.781	0.219	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.780	0.220	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.779	0.221	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.778	0.222	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.778	0.222	0.000
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.777	0.223	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.776	0.224	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.776	0.224	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.776	0.224	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.776	0.224	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.776	0.224	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.776	0.224	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.774	0.226	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.774	0.226	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.772	0.228	0.000
rs35148638 lBF = `0.829383` Chr`5` : `86,610,989`	0.771	0.229	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.770	0.230	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.769	0.231	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.769	0.231	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.767	0.233	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.766	0.234	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.765	0.234	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.765	0.235	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.765	0.235	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.763	0.236	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.763	0.237	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.761	0.239	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.759	0.241	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.758	0.242	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.758	0.242	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.758	0.242	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.757	0.243	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.757	0.243	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.757	0.243	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.757	0.243	0.000
rs9379831 lBF = `31.9196` Chr`6` : `26,175,852`	0.755	0.245	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.755	0.245	0.000
rs3093668 lBF = `82.8967` Chr`6` : `31,546,495`	0.755	0.245	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.755	0.245	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.755	0.245	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.753	0.247	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.753	0.247	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.752	0.248	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.752	0.248	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.752	0.248	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.751	0.249	0.000
rs4959079 lBF = `40.4976` Chr`6` : `31,488,879`	0.750	0.250	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.750	0.250	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.750	0.250	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.749	0.251	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.747	0.253	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.747	0.253	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.746	0.254	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.745	0.255	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.742	0.257	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.742	0.258	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.742	0.258	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.742	0.258	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.741	0.259	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.740	0.260	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.739	0.261	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.738	0.262	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.738	0.262	0.000
rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.737	0.263	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.737	0.263	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.737	0.263	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.736	0.263	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.736	0.264	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.736	0.264	0.000
rs9266658 lBF = `76.5776` Chr`6` : `31,347,644`	0.736	0.264	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.734	0.266	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.734	0.266	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.734	0.266	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.267	0.733
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.730	0.270	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.730	0.270	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.730	0.270	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.730	0.270	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.730	0.270	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.730	0.270	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.729	0.271	0.000
rs12552736 lBF = `0.863679` Chr`9` : `25,449,122`	0.729	0.271	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.727	0.273	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.727	0.273	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.727	0.273	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.727	0.273	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.727	0.273	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.727	0.273	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.726	0.274	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.725	0.274	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.725	0.275	0.000
rs12524487 lBF = `43.9884` Chr`6` : `31,354,238`	0.725	0.275	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.724	0.276	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.723	0.277	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.721	0.279	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.720	0.280	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.720	0.280	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.719	0.280	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.718	0.282	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.717	0.282	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.717	0.283	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.717	0.283	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.717	0.283	0.000
rs12190030 lBF = `68.2872` Chr`6` : `30,921,364`	0.717	0.283	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	0.717	0.283	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.716	0.284	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.716	0.284	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.716	0.284	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.716	0.284	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.716	0.284	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.716	0.284	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.716	0.284	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.716	0.284	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.716	0.284	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.715	0.285	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.715	0.285	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.715	0.285	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.714	0.286	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.714	0.286	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.713	0.286	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.713	0.287	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.712	0.287	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.712	0.288	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.712	0.288	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.712	0.288	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.712	0.288	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.712	0.288	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.712	0.288	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.711	0.289	0.000
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rs1822881 lBF = `3.00061` Chr`2` : `146,044,052`	0.643	0.357	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.643	0.357	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.643	0.357	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.642	0.358	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.642	0.358	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.642	0.358	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.641	0.359	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.641	0.359	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.641	0.359	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.641	0.359	0.000
rs11687420 lBF = `3.00864` Chr`2` : `146,045,565`	0.641	0.359	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.641	0.359	0.000
rs3093662 lBF = `40.9266` Chr`6` : `31,544,189`	0.640	0.360	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.640	0.360	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.639	0.361	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.639	0.361	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.639	0.361	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.639	0.361	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.639	0.361	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.638	0.361	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.638	0.362	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.638	0.362	0.000
rs7819937 lBF = `0.532275` Chr`8` : `3,118,779`	0.638	0.362	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.638	0.362	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.637	0.363	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.636	0.363	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.636	0.364	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.636	0.364	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.636	0.364	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.636	0.364	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.636	0.364	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.636	0.364	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.635	0.365	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.635	0.365	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.635	0.365	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.635	0.365	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.635	0.365	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.634	0.365	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.634	0.366	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.634	0.366	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.634	0.366	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.633	0.367	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.633	0.367	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.632	0.367	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.631	0.369	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.631	0.369	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.631	0.369	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.630	0.369	0.000
rs10180522 lBF = `2.48654` Chr`2` : `146,071,853`	0.630	0.369	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.630	0.370	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.630	0.370	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.629	0.370	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.629	0.371	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.629	0.371	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.628	0.371	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.628	0.371	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.628	0.372	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.628	0.372	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.628	0.372	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.628	0.372	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.627	0.372	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.627	0.373	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.627	0.373	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.627	0.373	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.627	0.373	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.627	0.373	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.627	0.373	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.626	0.373	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.626	0.374	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.626	0.374	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.626	0.374	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.626	0.374	0.000
rs2478118 lBF = `0.500411` Chr`10` : `13,650,032`	0.625	0.375	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.625	0.375	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.625	0.375	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.625	0.375	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.624	0.375	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.624	0.376	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.623	0.377	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.623	0.377	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.623	0.377	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.622	0.377	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.622	0.378	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.621	0.378	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.621	0.379	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.621	0.379	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.621	0.379	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.621	0.379	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.621	0.379	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.620	0.380	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.620	0.380	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.619	0.381	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.618	0.382	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.617	0.383	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.617	0.383	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6701

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.5045

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0616

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9983

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9883

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9820

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9791

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9755

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9716

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9692

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9679

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9668

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9551

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9543

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9478

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9460

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9453

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9437

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9390

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9354

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9273

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9223

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9154

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9130

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9057

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9028

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9024

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8939

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8934

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8903

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8826

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8774

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8762

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8714

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8670

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8656

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8655

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8644

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8626

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8595

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8522

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8503

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8491

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8464

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8435

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8409

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8388

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8381

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8348

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8339

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8322

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8175

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8167

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8156

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8147

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8133

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8102

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8059

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8053

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7986

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7983

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7973

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7961

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7818

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7807

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7718

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7714

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7645

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7639

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7624

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7608

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7549

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7469

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7411

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7408

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7290

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7104

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6962

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6952

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6800

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6672

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6604

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6603

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6573

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6387

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6337

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6325

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6282

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6216

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6032

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6017

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5993

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.5988

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5821

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5709

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5626

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5622

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5457

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5439

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5257

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5253

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5192

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5119

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5015

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4827

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4801

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4609

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4490

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4281

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4124

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4114

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3899

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3860

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3814

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3782

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3774

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3682

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3669

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3509

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3439

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3337

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3276

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3176

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3160

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3122

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3080

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3059

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2986

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2921

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2881

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2819

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2737

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2673

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2604

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2581

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2546

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2456

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2431

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2349

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2286

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2281

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2236

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2233

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2159

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2074

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2011

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1923

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1883

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1883

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1826

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1741

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1695

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1665

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1611

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1447

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1429

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1388

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1305

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1263

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1236

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1226

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1215

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1204

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1174

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1174

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1174

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1150

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1109

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1083

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0995

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0957

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0923

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0806

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0806

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0779

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0768

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.0763

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0750

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0670

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0661

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0630

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0617

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0597

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0571

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`)