TreeWAS – [T78.4] Allergy, unspecified

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
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.924	0.076	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.923	0.077	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.912	0.088	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.906	0.094	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.900	0.100	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.890	0.110	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.887	0.113	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.881	0.119	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.879	0.121	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.877	0.123	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.876	0.124	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.874	0.126	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.870	0.130	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.870	0.130	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.869	0.131	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.865	0.135	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.863	0.137	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.861	0.139	0.000
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.860	0.140	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.860	0.140	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.859	0.141	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.858	0.142	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.858	0.142	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.852	0.148	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.850	0.150	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.844	0.156	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.843	0.157	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.843	0.157	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.843	0.157	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.840	0.160	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.838	0.162	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.837	0.163	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.836	0.164	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.835	0.165	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.832	0.168	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.832	0.168	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.830	0.170	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.830	0.170	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.829	0.171	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.827	0.173	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.825	0.175	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.824	0.176	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.823	0.177	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.823	0.177	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.821	0.179	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.820	0.180	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.819	0.181	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.818	0.182	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.817	0.183	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.817	0.183	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.817	0.183	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.817	0.183	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.816	0.184	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.816	0.184	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.815	0.185	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.814	0.186	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.813	0.187	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.810	0.190	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.810	0.190	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.809	0.191	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.809	0.191	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.808	0.192	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.805	0.195	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.804	0.195	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.802	0.198	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.802	0.198	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.801	0.199	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.799	0.201	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.797	0.203	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.796	0.204	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.795	0.205	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.791	0.209	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.790	0.210	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.788	0.212	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.788	0.212	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.788	0.212	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.787	0.213	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.786	0.214	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.785	0.215	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.784	0.216	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.781	0.219	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.781	0.219	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.780	0.220	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.778	0.222	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.778	0.222	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.777	0.223	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.776	0.224	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.776	0.224	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.775	0.225	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.773	0.227	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.772	0.228	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.771	0.229	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.770	0.230	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.768	0.232	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.768	0.232	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.767	0.233	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.767	0.233	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.766	0.234	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.765	0.235	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.765	0.235	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.764	0.236	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.763	0.237	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.763	0.237	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.763	0.237	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.763	0.237	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.762	0.238	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.762	0.238	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.762	0.238	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.761	0.239	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.760	0.239	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.760	0.240	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.759	0.241	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.756	0.244	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.756	0.244	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.755	0.245	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.754	0.246	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.754	0.246	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.754	0.246	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.754	0.246	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.753	0.247	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.752	0.248	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.752	0.248	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.751	0.249	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.750	0.250	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.749	0.251	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.748	0.252	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.747	0.253	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.746	0.254	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.746	0.254	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.745	0.255	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.745	0.255	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.745	0.255	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.745	0.255	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.745	0.255	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.743	0.257	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.743	0.257	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.743	0.257	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.742	0.258	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.742	0.258	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.741	0.258	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.740	0.260	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.739	0.261	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.738	0.262	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.734	0.266	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.734	0.266	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.732	0.267	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.731	0.269	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.730	0.270	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.726	0.274	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.725	0.275	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.722	0.278	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.722	0.278	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.721	0.279	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.720	0.280	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.720	0.280	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.719	0.281	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.717	0.283	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.715	0.285	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.714	0.286	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.712	0.287	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.711	0.289	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.711	0.289	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.710	0.290	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.709	0.291	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.707	0.293	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.706	0.294	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.706	0.294	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.706	0.294	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.705	0.295	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.703	0.297	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.702	0.298	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.700	0.300	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.698	0.302	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.697	0.303	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.696	0.304	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.695	0.305	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.695	0.305	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.695	0.305	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.693	0.307	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.693	0.307	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.693	0.307	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.692	0.308	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.692	0.308	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.692	0.308	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.692	0.308	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.690	0.310	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.690	0.310	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.690	0.310	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.689	0.311	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.689	0.311	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.688	0.312	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.687	0.313	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.687	0.313	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.687	0.313	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.685	0.315	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.685	0.315	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.685	0.315	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.684	0.316	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.683	0.317	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.682	0.318	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.682	0.318	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.682	0.318	0.000
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rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.608	0.392	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.607	0.393	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.607	0.393	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.606	0.393	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.606	0.394	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.606	0.394	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.606	0.394	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.606	0.394	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.606	0.394	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.605	0.395	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.605	0.395	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.605	0.395	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.605	0.395	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.605	0.395	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.604	0.396	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.603	0.397	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.603	0.397	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.603	0.397	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.603	0.397	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.603	0.397	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.602	0.398	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.602	0.398	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.602	0.398	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.602	0.398	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.602	0.398	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.602	0.398	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.602	0.398	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.601	0.399	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.601	0.399	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.601	0.399	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.601	0.399	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.600	0.400	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.600	0.400	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.600	0.400	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.600	0.400	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.599	0.401	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.599	0.401	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.599	0.401	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.599	0.401	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.599	0.401	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.599	0.401	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.599	0.401	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.598	0.402	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.598	0.402	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.598	0.402	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.598	0.402	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.597	0.403	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.597	0.403	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.597	0.403	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.596	0.404	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.596	0.404	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.596	0.404	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.596	0.404	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.595	0.405	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.595	0.405	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.595	0.405	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.595	0.405	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.594	0.406	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.594	0.406	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.594	0.406	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.594	0.406	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.593	0.406	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.593	0.406	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.593	0.407	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.593	0.407	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.593	0.407	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.593	0.407	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.593	0.407	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.407	0.593
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.592	0.408	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.592	0.408	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.592	0.408	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.592	0.408	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.591	0.408	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.591	0.409	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.591	0.409	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.591	0.409	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.591	0.409	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.591	0.409	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.591	0.409	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.590	0.409	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.590	0.410	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.590	0.410	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.590	0.410	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.589	0.411	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.589	0.411	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.589	0.411	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.589	0.411	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.589	0.411	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.588	0.412	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.587	0.413	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.587	0.413	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.586	0.413	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.586	0.414	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.585	0.415	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.585	0.415	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

0.5474

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0810

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9863

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9845

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9655

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9571

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9413

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9376

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9216

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9024

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8942

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8849

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8624

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8615

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8614

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8596

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8377

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8128

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8112

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8101

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8063

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7977

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7934

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7930

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7928

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7812

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7713

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7504

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7434

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7411

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7336

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7307

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7271

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7177

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7053

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6932

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6882

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6777

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6714

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6626

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6591

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6571

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6412

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6284

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6265

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6237

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6099

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6054

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5975

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5849

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5841

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5807

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5700

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5542

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5516

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5506

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5403

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5359

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5327

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5316

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5285

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5037

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4972

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4964

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4878

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4663

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4576

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4407

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4406

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4401

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4253

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3982

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3977

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3973

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3964

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3939

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3900

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3769

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3676

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3481

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3408

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3369

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3368

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3273

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3268

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3189

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3106

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3072

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3059

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3002

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2979

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2947

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2946

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2907

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2800

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2791

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2685

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2629

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2613

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2546

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2541

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2478

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2408

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2361

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2304

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2260

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2183

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2110

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2103

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2054

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1995

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1948

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1896

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1863

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1849

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1782

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1751

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1653

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1496

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1429

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1397

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1322

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1297

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1196

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1179

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1173

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1153

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1106

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1090

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1082

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1065

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1041

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1006

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0954

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0929

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0927

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0916

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0885

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0857

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0847

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0798

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0756

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0753

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0723

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0713

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0703

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0703

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0645

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0644

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0626

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0608

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0578

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0562

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0544

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0538

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`)