TreeWAS – [F32.8] Other depressive episodes

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
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.857	0.143	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.814	0.186	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.812	0.188	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.808	0.192	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.807	0.193	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.799	0.201	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.794	0.206	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.791	0.209	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.789	0.211	0.000
rs9266658 lBF = `76.5776` Chr`6` : `31,347,644`	0.787	0.213	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.785	0.215	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.775	0.225	0.000
rs7743761 lBF = `74.9264` Chr`6` : `31,336,100`	0.775	0.225	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.773	0.227	0.000
rs4757391 lBF = `4.55047` Chr`11` : `16,302,939`	0.768	0.232	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.766	0.234	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.765	0.235	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.763	0.237	0.000
rs9379831 lBF = `31.9196` Chr`6` : `26,175,852`	0.761	0.239	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.753	0.246	0.000
rs9501572 lBF = `74.6703` Chr`6` : `31,333,820`	0.753	0.247	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.253	0.747
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	0.745	0.255	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.741	0.259	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.735	0.265	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.734	0.266	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.730	0.270	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.728	0.272	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.719	0.281	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.719	0.281	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.717	0.283	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.717	0.283	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.717	0.283	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.717	0.283	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.717	0.283	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.717	0.283	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.716	0.283	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.716	0.283	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.716	0.284	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.716	0.284	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.716	0.284	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.716	0.284	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.716	0.284	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.715	0.284	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.715	0.285	0.000
rs35458303 lBF = `7.51936` Chr`14` : `21,923,368`	0.715	0.285	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.715	0.285	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.715	0.285	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.715	0.285	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.714	0.286	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.713	0.286	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.713	0.286	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.713	0.287	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.713	0.287	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.713	0.287	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.713	0.287	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.713	0.287	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.712	0.287	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.712	0.288	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.712	0.288	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.712	0.288	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.712	0.288	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.712	0.288	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.712	0.288	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.712	0.288	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.711	0.288	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.711	0.289	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.711	0.289	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.711	0.289	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.711	0.289	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.711	0.289	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.710	0.290	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.710	0.290	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.710	0.290	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.709	0.291	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.709	0.291	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.709	0.291	0.000
rs13407123 lBF = `2.79533` Chr`2` : `146,092,756`	0.709	0.291	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.709	0.291	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.709	0.291	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.709	0.291	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.708	0.291	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.708	0.292	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.708	0.292	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.707	0.293	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.707	0.293	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.707	0.293	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.707	0.293	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.707	0.293	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.706	0.293	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.706	0.293	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.706	0.294	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.706	0.294	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.706	0.294	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.706	0.294	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.705	0.295	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.705	0.295	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.705	0.295	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.705	0.295	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.705	0.295	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.704	0.296	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.704	0.296	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.704	0.296	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.704	0.296	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.704	0.296	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.704	0.296	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.703	0.296	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.703	0.297	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.703	0.297	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.703	0.297	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.703	0.297	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.703	0.297	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.702	0.297	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.702	0.297	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.702	0.297	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.702	0.298	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.702	0.298	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.701	0.299	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.701	0.299	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.701	0.299	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.701	0.299	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.701	0.299	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.700	0.299	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.700	0.300	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.700	0.300	0.000
rs6457401 lBF = `67.5206` Chr`6` : `31,334,852`	0.700	0.300	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.700	0.300	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.700	0.300	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.700	0.300	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.699	0.301	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.699	0.301	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.699	0.301	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.698	0.301	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.698	0.302	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.698	0.302	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.698	0.302	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.698	0.302	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.698	0.302	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.698	0.302	0.000
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.697	0.303	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.697	0.303	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.697	0.303	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.697	0.303	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.696	0.303	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.696	0.304	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.696	0.304	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.696	0.304	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.696	0.304	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.696	0.304	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.696	0.304	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.696	0.304	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.695	0.305	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.695	0.305	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.695	0.305	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.695	0.305	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.694	0.306	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.694	0.306	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.694	0.306	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.694	0.306	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.693	0.307	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.693	0.307	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.692	0.308	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.692	0.308	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.691	0.309	0.000
rs62437750 lBF = `8.76001` Chr`6` : `145,518,570`	0.691	0.309	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.691	0.309	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.691	0.309	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.691	0.309	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.691	0.309	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.689	0.310	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.689	0.311	0.000
rs10146997 lBF = `2.57476` Chr`14` : `79,945,162`	0.000	0.311	0.689
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.689	0.311	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.688	0.312	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.688	0.312	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.688	0.312	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.688	0.312	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.688	0.312	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.687	0.313	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.687	0.313	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.687	0.313	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.687	0.313	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.687	0.313	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.686	0.314	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.685	0.315	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.685	0.315	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.685	0.315	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.685	0.315	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.684	0.315	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.684	0.316	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.684	0.316	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.684	0.316	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.684	0.316	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.684	0.316	0.000
rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.683	0.316	0.000
rs295688 lBF = `1.3418` Chr`5` : `73,716,118`	0.683	0.317	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.682	0.317	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.681	0.318	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.681	0.319	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.681	0.319	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.680	0.319	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.680	0.320	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.680	0.320	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.680	0.320	0.000
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rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.631	0.369	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.630	0.369	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.630	0.369	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.630	0.370	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.630	0.370	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.629	0.370	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.629	0.371	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.628	0.371	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.628	0.372	0.000
rs2834188 lBF = `0.979999` Chr`21` : `34,689,253`	0.000	0.372	0.628
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.628	0.372	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.628	0.372	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.628	0.372	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.372	0.628
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.627	0.373	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
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.627	0.373	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.627	0.373	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.626	0.373	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.626	0.374	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.626	0.374	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.626	0.374	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.625	0.375	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.625	0.375	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.625	0.375	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.624	0.376	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.623	0.377	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.623	0.377	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.623	0.377	0.000
rs12887734 lBF = `2.62934` Chr`14` : `104,046,834`	0.622	0.378	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	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
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.620	0.379	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.620	0.380	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.620	0.380	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.620	0.380	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.620	0.380	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.620	0.380	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.620	0.380	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.619	0.381	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.619	0.381	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.619	0.381	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.619	0.381	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.618	0.382	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.618	0.382	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.617	0.382	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.617	0.383	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.617	0.383	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.617	0.383	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.617	0.383	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.617	0.383	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.617	0.383	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.616	0.384	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.616	0.384	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.616	0.384	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.615	0.385	0.000
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.615	0.385	0.000
rs9267487 lBF = `39.9855` Chr`6` : `31,511,350`	0.615	0.385	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.615	0.385	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.614	0.385	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.614	0.386	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.614	0.386	0.000
rs35567463 lBF = `94.9431` Chr`6` : `32,633,970`	0.614	0.386	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.613	0.387	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.613	0.387	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.613	0.387	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.613	0.387	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.612	0.388	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.612	0.388	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.612	0.388	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.612	0.388	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.611	0.389	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.611	0.389	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.611	0.389	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.611	0.389	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.611	0.389	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.611	0.389	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.611	0.389	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.610	0.390	0.000
rs4685943 lBF = `1.3179` Chr`3` : `5,535,277`	0.610	0.390	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.610	0.390	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.610	0.390	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.610	0.390	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.609	0.391	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.609	0.391	0.000
rs12524487 lBF = `43.9884` Chr`6` : `31,354,238`	0.609	0.391	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.609	0.391	0.000
rs4703516 lBF = `0.960393` Chr`5` : `80,654,966`	0.609	0.391	0.000
rs2229094 lBF = `36.0118` Chr`6` : `31,540,556`	0.609	0.391	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.608	0.391	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.608	0.392	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.608	0.392	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.7668

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6701

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0552

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9830

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8828

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8777

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8355

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8239

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8075

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7939

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7687

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7513

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7395

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7236

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7168

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7168

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7165

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7160

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7159

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7154

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7154

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7149

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7148

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7140

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7138

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7137

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7124

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.7120

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7111

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7110

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7104

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7088

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7085

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7082

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7075

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7073

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7065

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7054

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7052

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7051

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7037

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7024

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7011

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7011

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7005

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7005

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6985

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6981

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6966

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6937

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6920

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6881

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6858

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6835

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6826

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6770

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6741

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6638

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6623

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6614

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6602

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6583

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6575

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6553

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6534

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6529

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6504

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6445

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6432

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6422

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6403

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6330

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6326

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6309

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6289

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6235

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6228

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6144

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6049

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5950

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5739

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5714

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5694

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5634

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5556

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5548

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5532

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5446

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5359

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5089

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5084

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4951

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4947

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4926

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4910

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4766

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4641

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4629

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4607

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4591

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4445

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4352

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4292

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4213

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4149

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4116

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4086

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3874

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3815

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3693

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3596

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3588

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3560

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3407

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3390

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3260

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3208

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3181

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3020

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2887

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2827

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2779

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2777

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2605

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2597

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2465

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2425

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2423

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2419

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2417

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2414

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2347

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2275

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2225

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2218

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2213

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2192

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2058

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2007

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1974

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1966

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1931

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.1855

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1765

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1736

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1690

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1678

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1655

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1629

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1628

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1552

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1483

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1435

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1424

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1331

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1275

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1230

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1227

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1209

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1202

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1131

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1053

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0970

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0921

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0881

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0783

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0781

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0743

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0738

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0694

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0666

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0664

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0653

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0591

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0574

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0540

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0506

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`)