TreeWAS – [Z84] Family history of other conditions

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
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.839	0.161	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.834	0.166	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.828	0.172	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.817	0.183	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.814	0.186	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.814	0.186	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.805	0.195	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.805	0.195	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.804	0.196	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.799	0.201	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.799	0.201	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.799	0.201	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.798	0.202	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.798	0.202	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.797	0.202	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.797	0.203	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.792	0.208	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.787	0.213	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.787	0.213	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.787	0.213	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.782	0.218	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.781	0.219	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.781	0.219	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.775	0.224	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.773	0.227	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.771	0.229	0.000
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.771	0.229	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.771	0.229	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.770	0.230	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.769	0.231	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.232	0.768
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.767	0.232	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.767	0.233	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.767	0.233	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.766	0.234	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.765	0.235	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.764	0.236	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.763	0.237	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.762	0.238	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.760	0.240	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.760	0.240	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.759	0.241	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.758	0.242	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.758	0.242	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.757	0.243	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.757	0.243	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.757	0.243	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.755	0.245	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.752	0.247	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.752	0.248	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.752	0.248	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.752	0.248	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.750	0.250	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.749	0.251	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.748	0.252	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.746	0.254	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.745	0.255	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.745	0.255	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.745	0.255	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.745	0.255	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.744	0.256	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.739	0.261	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.738	0.262	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.738	0.262	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.737	0.263	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.737	0.263	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.737	0.263	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.736	0.264	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.735	0.265	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.735	0.265	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.735	0.265	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.735	0.265	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.734	0.266	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.734	0.266	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.732	0.268	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.268	0.732
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.732	0.268	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.731	0.269	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.729	0.271	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.729	0.271	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.729	0.271	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.729	0.271	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.728	0.272	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.728	0.272	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.273	0.727
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.727	0.273	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.726	0.274	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.726	0.274	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.725	0.275	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.724	0.275	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.723	0.277	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.722	0.277	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.719	0.281	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.718	0.282	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.718	0.282	0.000
rs2445130 lBF = `3.88787` Chr`1` : `22,237,722`	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
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.717	0.283	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.717	0.283	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	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
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.717	0.283	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.717	0.283	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	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
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
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
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.717	0.283	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.717	0.283	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.717	0.283	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.717	0.283	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.717	0.283	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.717	0.283	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.717	0.283	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.717	0.283	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.717	0.283	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.717	0.283	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.717	0.283	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.717	0.283	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.717	0.283	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.717	0.283	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.717	0.283	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.283	0.717
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.717	0.283	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.717	0.283	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.717	0.283	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.717	0.283	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.717	0.283	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.717	0.283	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.717	0.283	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.717	0.283	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.717	0.283	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.717	0.283	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.717	0.283	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.717	0.283	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.717	0.283	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.717	0.283	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.717	0.283	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.717	0.283	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.717	0.283	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.283	0.717
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.717	0.283	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.717	0.283	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.717	0.283	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.717	0.283	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.717	0.283	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.717	0.283	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.717	0.283	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.717	0.283	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.717	0.283	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.717	0.283	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.717	0.283	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.717	0.283	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.717	0.283	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.717	0.283	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.717	0.283	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.717	0.283	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.717	0.283	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.717	0.283	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.717	0.283	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.717	0.283	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.717	0.283	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.717	0.283	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.717	0.283	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.717	0.283	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.717	0.283	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.717	0.283	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.717	0.283	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.717	0.283	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.717	0.283	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.717	0.283	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.717	0.283	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.717	0.283	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.717	0.283	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.717	0.283	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.717	0.283	0.000
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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
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
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	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
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
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.715	0.285	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.715	0.285	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.715	0.285	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	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
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.715	0.285	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.715	0.285	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	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
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
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.715	0.285	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.714	0.285	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.714	0.285	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.714	0.285	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	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
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	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
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.714	0.286	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.714	0.286	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.714	0.286	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.714	0.286	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	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
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.714	0.286	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.714	0.286	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	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
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.713	0.286	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.713	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
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.713	0.287	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.713	0.287	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.713	0.287	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.713	0.287	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	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
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	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
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	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
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.713	0.287	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.713	0.287	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.713	0.287	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.713	0.287	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.713	0.287	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	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

0.5109

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1289

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9907

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9810

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9789

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9745

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9739

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9670

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9399

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9378

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9354

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9281

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9272

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9195

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9052

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8968

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8957

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8943

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8909

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8895

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8846

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8769

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8699

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8696

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8601

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8583

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8572

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8570

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8478

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8473

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8455

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8430

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8363

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8357

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8325

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8300

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8299

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8266

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8265

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8262

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8251

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8237

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8217

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8216

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8200

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8192

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8180

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8172

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8061

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8055

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7990

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7986

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7985

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7946

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7932

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7888

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7877

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7875

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7869

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7837

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7812

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7768

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7731

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7712

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7707

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7700

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7683

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7662

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7656

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7644

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7643

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7610

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7588

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7584

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7550

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7512

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7500

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7486

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7474

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7432

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7358

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7336

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7261

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7176

Cluster X0088

log Bayes Factor = 243.609

contains 9 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 X0137

log Bayes Factor = 120.748

contains 4 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 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 X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7164

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7079

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7011

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6956

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6917

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6814

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 X0142

log Bayes Factor = 295.63

contains 12 variants

0.6138

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6079

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5993

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5860

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4990

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4739

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3752

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3705

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3463

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3282

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2485

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2363

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2167

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2011

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1721

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1656

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1268

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1246

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1209

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1044

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0897

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0812

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0769

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0615

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	Z84.0 Family history of diseases of the skin and subcutaneous tissue Z84.1 Family history of disorders of the kidney and ureter Z84.2 Family history of other diseases of the genito-urinary system Z84.3 Family history of consanguinity Z84.8 Family history of other specified conditions

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`)