TreeWAS – [Z81] Family history of mental and behavioural disorders

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
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.860	0.140	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.847	0.153	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.832	0.168	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.821	0.179	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.815	0.185	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.813	0.187	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.812	0.188	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.811	0.188	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.808	0.192	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.808	0.192	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.806	0.194	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.805	0.195	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.802	0.198	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.802	0.198	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.801	0.199	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.800	0.200	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.800	0.200	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.799	0.201	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.799	0.201	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.798	0.202	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.798	0.202	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.797	0.203	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.796	0.204	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.796	0.204	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.794	0.206	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.794	0.206	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.793	0.206	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.793	0.207	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.792	0.208	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.789	0.211	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.789	0.211	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.788	0.212	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.788	0.212	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.786	0.214	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.785	0.214	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.785	0.215	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.785	0.215	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.785	0.215	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.785	0.215	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.784	0.216	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.783	0.217	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.782	0.217	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.782	0.218	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.782	0.218	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.779	0.221	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.778	0.222	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.778	0.222	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.777	0.223	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.776	0.224	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.776	0.224	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.774	0.226	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.774	0.226	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.772	0.227	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.772	0.228	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.772	0.228	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.771	0.229	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.770	0.230	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.770	0.230	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.770	0.230	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.769	0.231	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.769	0.231	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.768	0.231	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.768	0.232	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.767	0.232	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.767	0.233	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.766	0.234	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.765	0.235	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.764	0.235	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.764	0.236	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.763	0.237	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.762	0.238	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.762	0.238	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.760	0.240	0.000
rs72974161 lBF = `1.76614` Chr`2` : `136,802,456`	0.000	0.241	0.759
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.759	0.241	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.759	0.241	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.756	0.244	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.756	0.244	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.756	0.244	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.755	0.245	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.755	0.245	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.754	0.246	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.753	0.247	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.753	0.247	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.752	0.247	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.752	0.248	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.752	0.248	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.750	0.250	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.750	0.250	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.750	0.250	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.749	0.251	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.749	0.251	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.748	0.251	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.748	0.252	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.748	0.252	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.747	0.253	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.747	0.253	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.746	0.254	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.746	0.254	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.746	0.254	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.745	0.255	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.744	0.256	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.743	0.257	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.743	0.257	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.743	0.257	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.743	0.257	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.742	0.258	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.741	0.259	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.740	0.260	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.740	0.260	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.740	0.260	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.740	0.260	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.740	0.260	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.740	0.260	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.740	0.260	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.739	0.260	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.739	0.260	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.738	0.262	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.737	0.263	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.737	0.263	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.736	0.263	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.734	0.265	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.734	0.266	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.733	0.266	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.733	0.267	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.733	0.267	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.733	0.267	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.268	0.732
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.732	0.268	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.732	0.268	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.731	0.269	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.731	0.269	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.731	0.269	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.731	0.269	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.270	0.730
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.729	0.271	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.728	0.272	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.728	0.272	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.728	0.272	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.728	0.272	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.728	0.272	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.727	0.273	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.727	0.273	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.727	0.273	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.727	0.273	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.727	0.273	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.727	0.273	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.727	0.273	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.727	0.273	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.727	0.273	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.726	0.273	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.726	0.274	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.725	0.275	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.725	0.275	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.725	0.275	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.724	0.276	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.723	0.277	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.723	0.277	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.722	0.278	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.722	0.278	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.720	0.280	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.719	0.281	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.719	0.281	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.718	0.282	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.718	0.282	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.717	0.283	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.717	0.283	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.717	0.283	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.717	0.283	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.717	0.283	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.717	0.283	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.717	0.283	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.717	0.283	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.717	0.283	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.717	0.283	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.717	0.283	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.717	0.283	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.717	0.283	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.717	0.283	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.717	0.283	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.717	0.283	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.717	0.283	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.717	0.283	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.717	0.283	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.717	0.283	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.717	0.283	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.717	0.283	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.717	0.283	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.717	0.283	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.717	0.283	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.717	0.283	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.717	0.283	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.717	0.283	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.717	0.283	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.717	0.283	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.717	0.283	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.717	0.283	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.717	0.283	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.717	0.283	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.717	0.283	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.717	0.283	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.717	0.283	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.717	0.283	0.000
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rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.716	0.284	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.716	0.284	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.716	0.284	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.716	0.284	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.716	0.284	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.716	0.284	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.716	0.284	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.716	0.284	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.716	0.284	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.716	0.284	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.716	0.284	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.716	0.284	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.716	0.284	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.716	0.284	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.716	0.284	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.716	0.284	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.716	0.284	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.716	0.284	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.715	0.284	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.715	0.284	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.715	0.284	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.715	0.284	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.715	0.284	0.000
rs9356786 lBF = `15.2486` Chr`6` : `21,914,212`	0.715	0.284	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.715	0.285	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.715	0.285	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.715	0.285	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.715	0.285	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.715	0.285	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.715	0.285	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.715	0.285	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.715	0.285	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.715	0.285	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.715	0.285	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.715	0.285	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.715	0.285	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.715	0.285	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.715	0.285	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.715	0.285	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.715	0.285	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.715	0.285	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.715	0.285	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.715	0.285	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.715	0.285	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.715	0.285	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.715	0.285	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.715	0.285	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.715	0.285	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.715	0.285	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.715	0.285	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.715	0.285	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.715	0.285	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.715	0.285	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.715	0.285	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.715	0.285	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.715	0.285	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.715	0.285	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.715	0.285	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.714	0.285	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.714	0.285	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.714	0.286	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.714	0.286	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.714	0.286	0.000
rs74427637 lBF = `7.16635` Chr`3` : `792,827`	0.714	0.286	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.714	0.286	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.714	0.286	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.714	0.286	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.714	0.286	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.714	0.286	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.714	0.286	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.714	0.286	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.714	0.286	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.714	0.286	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.714	0.286	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.714	0.286	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.714	0.286	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.713	0.286	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.713	0.286	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.713	0.287	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.713	0.287	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.713	0.287	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.713	0.287	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.713	0.287	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.713	0.287	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.713	0.287	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.713	0.287	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.713	0.287	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.713	0.287	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.713	0.287	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.713	0.287	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.713	0.287	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.713	0.287	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.713	0.287	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.713	0.287	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.713	0.287	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4880

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1700

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9973

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9707

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9684

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9671

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9651

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9622

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9588

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9474

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9453

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9447

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9379

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9376

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9332

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9237

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9216

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9205

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9160

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9160

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9154

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9079

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9048

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9027

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9026

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9015

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8999

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8993

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8950

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8903

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8902

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8875

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8872

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8838

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8808

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8800

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8799

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8783

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8762

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8633

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8614

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8591

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8590

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8485

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8450

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8424

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8406

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8399

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8394

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8359

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8340

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8310

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8303

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8286

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8272

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8240

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8203

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8196

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8186

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8169

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8115

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8092

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8085

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8083

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8051

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8044

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8040

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8001

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8001

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7989

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7977

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7946

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7932

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7931

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7837

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7831

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7824

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7810

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7803

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7798

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7731

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7718

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7621

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7604

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7578

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7550

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7495

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7486

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7461

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7461

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7426

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7300

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7265

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7252

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7244

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7182

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7175

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7011

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6783

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6738

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6632

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6625

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6578

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6278

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6193

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6163

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5760

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5621

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5437

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5267

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5262

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4740

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4739

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4507

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4496

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4364

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3769

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2415

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2313

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2130

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1957

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1922

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1405

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1387

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1328

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0943

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0935

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0864

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0856

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0549

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0533

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0521

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z81.0 Family history of mental retardation Z81.1 Family history of alcohol abuse Z81.2 Family history of tobacco abuse Z81.3 Family history of other psychoactive substance abuse Z81.4 Family history of other substance abuse Z81.8 Family history of other mental and behavioural disorders

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`)