TreeWAS – [W19.4] Street and highway

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
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.958	0.042	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.948	0.052	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.943	0.057	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.943	0.057	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.933	0.067	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.931	0.069	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.926	0.074	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.925	0.075	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.923	0.077	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.918	0.082	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.918	0.082	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.918	0.082	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.913	0.087	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.913	0.087	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.906	0.094	0.000
rs116039626 lBF = `1.7111` Chr`2` : `236,353,735`	0.905	0.095	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.904	0.095	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.901	0.099	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.900	0.100	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.897	0.103	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.895	0.105	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.895	0.105	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.893	0.107	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.891	0.109	0.000
rs13194491 lBF = `199.599` Chr`6` : `27,037,080`	0.886	0.114	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.885	0.115	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.884	0.116	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.883	0.117	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.881	0.119	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.881	0.119	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.880	0.120	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.879	0.121	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.879	0.121	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.877	0.123	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.874	0.126	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.873	0.127	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.873	0.127	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.871	0.129	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.871	0.129	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.864	0.136	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.861	0.139	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.852	0.148	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.851	0.149	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.850	0.150	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.848	0.152	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.847	0.153	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.845	0.155	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.844	0.156	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.844	0.156	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.841	0.159	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.840	0.160	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.839	0.161	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.838	0.162	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.836	0.164	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.835	0.165	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.832	0.168	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.831	0.169	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.828	0.171	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.828	0.172	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.827	0.173	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.825	0.175	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.824	0.176	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.824	0.176	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.823	0.177	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.823	0.177	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.821	0.179	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.820	0.180	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.817	0.183	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.816	0.184	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.816	0.184	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.810	0.190	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.809	0.191	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.809	0.191	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.807	0.193	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.804	0.196	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.803	0.197	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.802	0.198	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.802	0.198	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.801	0.199	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.799	0.201	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.799	0.201	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.797	0.203	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.797	0.203	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.793	0.207	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.793	0.207	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.792	0.208	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.791	0.209	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.791	0.209	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.791	0.209	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.790	0.210	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.789	0.211	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.789	0.211	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.788	0.212	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.785	0.214	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.785	0.215	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.785	0.215	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.784	0.216	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.784	0.216	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.784	0.216	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.784	0.216	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.783	0.217	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.783	0.217	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.782	0.218	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.781	0.219	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.780	0.220	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.779	0.221	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.775	0.225	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.774	0.226	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.773	0.227	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.773	0.227	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.772	0.228	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.769	0.231	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.768	0.232	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.767	0.233	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.767	0.233	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.766	0.234	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.764	0.236	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.763	0.236	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.762	0.238	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.762	0.238	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.761	0.239	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.760	0.240	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.760	0.240	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.760	0.240	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.759	0.241	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.758	0.242	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.757	0.243	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.756	0.244	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.756	0.244	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.754	0.246	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.753	0.247	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.753	0.247	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.752	0.248	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.751	0.249	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.751	0.249	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.750	0.250	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.749	0.251	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.749	0.251	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.749	0.251	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.749	0.251	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.748	0.252	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.748	0.252	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.748	0.252	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.748	0.252	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.747	0.253	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.747	0.253	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.747	0.253	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.747	0.253	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.746	0.254	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.745	0.255	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.745	0.255	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.744	0.256	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.744	0.256	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.744	0.256	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.743	0.257	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.743	0.257	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.743	0.257	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.743	0.257	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.743	0.257	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.740	0.260	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.740	0.260	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.739	0.260	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.739	0.261	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.738	0.262	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.737	0.263	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.737	0.263	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.734	0.266	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.734	0.266	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.733	0.267	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.732	0.267	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.732	0.268	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.732	0.268	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.732	0.268	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.731	0.269	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.729	0.271	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.728	0.272	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.727	0.273	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.727	0.273	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.726	0.274	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.726	0.274	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.726	0.274	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.725	0.275	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.725	0.275	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.725	0.275	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.724	0.276	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.724	0.276	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.723	0.277	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.723	0.277	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.722	0.278	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.722	0.278	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.721	0.279	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.720	0.280	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.719	0.281	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.719	0.281	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.718	0.282	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.718	0.282	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.716	0.284	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.716	0.284	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.715	0.285	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.715	0.285	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.714	0.286	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.714	0.286	0.000
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rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.625	0.375	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.625	0.375	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.625	0.375	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.624	0.376	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.624	0.376	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.624	0.376	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.624	0.376	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.624	0.376	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.623	0.377	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.623	0.377	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.623	0.377	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.623	0.377	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.622	0.378	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.621	0.379	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.621	0.379	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.621	0.379	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.379	0.621
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.620	0.380	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.620	0.380	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.620	0.380	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.619	0.381	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.619	0.381	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.619	0.381	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.618	0.382	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.618	0.382	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.618	0.382	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.617	0.383	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.616	0.384	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.616	0.384	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.616	0.384	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.615	0.385	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.615	0.385	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.615	0.385	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.615	0.385	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.614	0.386	0.000
rs28570051 lBF = `173.657` Chr`6` : `31,210,601`	0.614	0.386	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.614	0.386	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.613	0.386	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.613	0.387	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.613	0.387	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.612	0.387	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.612	0.388	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.612	0.388	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.612	0.388	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.612	0.388	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.611	0.389	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.611	0.389	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.611	0.389	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.611	0.389	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.610	0.390	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.610	0.390	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.609	0.391	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.608	0.392	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.608	0.392	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.608	0.392	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.607	0.393	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.607	0.393	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.607	0.393	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.607	0.393	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.607	0.393	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.607	0.393	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.606	0.394	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.606	0.394	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.606	0.394	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.606	0.394	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.606	0.394	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.605	0.395	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.605	0.395	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.605	0.395	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.605	0.395	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.604	0.396	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.604	0.396	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.604	0.396	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.603	0.397	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.603	0.397	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.603	0.397	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.603	0.397	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.602	0.398	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.602	0.398	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.602	0.398	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.602	0.398	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.601	0.399	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.601	0.399	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.601	0.399	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.600	0.400	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.600	0.400	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.600	0.400	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.600	0.400	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.600	0.400	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.600	0.400	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.599	0.401	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.599	0.401	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.598	0.401	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.598	0.402	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.598	0.402	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.598	0.402	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6210

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0874

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

1.0000

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9996

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9980

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9974

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9966

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9887

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9885

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9814

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9803

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9802

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9675

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9631

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9342

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9339

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9152

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9143

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9142

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9123

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9052

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9050

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8965

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.8952

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8755

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8732

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8688

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8682

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8647

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8462

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8347

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8220

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8181

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8155

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8090

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8021

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7807

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7643

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7517

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7299

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7241

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7187

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7102

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7074

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7042

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6999

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6980

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6931

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6862

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6638

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6573

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6572

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6150

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6089

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6048

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6017

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5926

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5908

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5875

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5626

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5485

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5028

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4982

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4978

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4869

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4793

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4705

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4606

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4458

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4442

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4329

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4285

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4177

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4100

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4057

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4050

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4032

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3963

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3916

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3898

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3884

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3792

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3784

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3725

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3576

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3382

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3361

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3358

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3327

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3158

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3037

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3028

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3023

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2859

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2731

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2378

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2363

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2288

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2242

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.2154

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2118

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2110

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2057

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2007

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1968

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1936

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1903

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1807

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1802

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1682

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.1616

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1581

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1570

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1570

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1509

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1494

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1467

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1391

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1259

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1258

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1243

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1208

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1196

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1185

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1118

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1097

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1071

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1035

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1008

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0949

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0945

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0934

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0925

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0921

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0883

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0868

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0864

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0849

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0745

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0733

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0731

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0681

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0678

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0663

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0643

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0618

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0599

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0596

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0560

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0552

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0538

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0522

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`)