TreeWAS – [J00] Acute nasopharyngitis [common cold]

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
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.983	0.017	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.967	0.033	0.000
rs7775228 lBF = `52.346` Chr`6` : `32,658,079`	0.000	0.054	0.946
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.935	0.065	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.929	0.071	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.926	0.074	0.000
rs3749981 lBF = `57.4317` Chr`6` : `32,862,682`	0.924	0.076	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.916	0.084	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.915	0.085	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.912	0.088	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.912	0.088	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.906	0.094	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.905	0.095	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.902	0.098	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.893	0.107	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.892	0.108	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.888	0.112	0.000
rs2647014 lBF = `52.8412` Chr`6` : `32,664,279`	0.000	0.115	0.885
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.884	0.116	0.000
Affx-28497534 lBF = `50.5526` Chr`6` : `32,629,905`	0.000	0.119	0.881
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.878	0.122	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.872	0.128	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.871	0.129	0.000
rs2647015 lBF = `51.8138` Chr`6` : `32,664,093`	0.000	0.131	0.869
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.866	0.134	0.000
rs56536369 lBF = `52.4476` Chr`6` : `32,726,788`	0.000	0.135	0.865
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.864	0.136	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.861	0.139	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.861	0.139	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.857	0.143	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.856	0.144	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.856	0.144	0.000
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.854	0.146	0.000
rs1841972 lBF = `5.58229` Chr`5` : `121,796,138`	0.853	0.147	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.852	0.148	0.000
rs6671200 lBF = `2.78699` Chr`1` : `95,697,529`	0.850	0.150	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.848	0.152	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.845	0.155	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.845	0.155	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.843	0.157	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.842	0.158	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.839	0.161	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.839	0.161	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.839	0.161	0.000
rs4947324 lBF = `28.5682` Chr`6` : `31,528,130`	0.000	0.163	0.837
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.837	0.163	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.836	0.164	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.836	0.164	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.836	0.164	0.000
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.165	0.835
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.835	0.165	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.834	0.166	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.833	0.167	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.831	0.169	0.000
rs3094204 lBF = `80.1018` Chr`6` : `31,091,992`	0.831	0.169	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.830	0.170	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.000	0.171	0.829
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.828	0.172	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.825	0.175	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.825	0.175	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.823	0.177	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.178	0.822
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.822	0.178	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.821	0.179	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.821	0.179	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.821	0.179	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.817	0.183	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.815	0.184	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.813	0.187	0.000
rs427037 lBF = `36.367` Chr`6` : `32,212,264`	0.000	0.187	0.813
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.812	0.188	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.811	0.189	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.810	0.189	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.810	0.190	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.810	0.190	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.810	0.190	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.809	0.191	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.808	0.192	0.000
rs41291798 lBF = `46.7943` Chr`6` : `32,431,558`	0.000	0.194	0.806
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.805	0.195	0.000
rs2858308 lBF = `53.453` Chr`6` : `32,670,000`	0.000	0.196	0.804
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.804	0.196	0.000
rs9272226 lBF = `235.986` Chr`6` : `32,602,396`	0.803	0.197	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	0.802	0.198	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.801	0.199	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.801	0.199	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.799	0.201	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.797	0.203	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.796	0.204	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.794	0.206	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.794	0.206	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.794	0.206	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.793	0.207	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.792	0.208	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.791	0.209	0.000
rs3830127 lBF = `79.2634` Chr`6` : `32,548,520`	0.000	0.209	0.791
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.790	0.210	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.790	0.210	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.789	0.211	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.787	0.213	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.787	0.213	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.787	0.213	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.787	0.213	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.787	0.213	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.787	0.213	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.784	0.216	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.784	0.216	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.783	0.217	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.783	0.217	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.783	0.217	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.781	0.219	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.781	0.219	0.000
rs2844509 lBF = `45.9217` Chr`6` : `31,510,924`	0.000	0.219	0.781
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.778	0.222	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.778	0.222	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.778	0.222	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.778	0.222	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.777	0.223	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.776	0.224	0.000
rs9501626 lBF = `38.8676` Chr`6` : `32,400,344`	0.000	0.224	0.776
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.776	0.224	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.775	0.225	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.774	0.226	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.773	0.227	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.773	0.227	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.773	0.227	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.773	0.227	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.772	0.228	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.772	0.228	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.771	0.229	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.771	0.229	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.769	0.231	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.769	0.231	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.766	0.234	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.766	0.234	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.766	0.234	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.766	0.234	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.765	0.235	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.764	0.236	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.763	0.236	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.762	0.238	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.759	0.241	0.000
rs28383254 lBF = `97.2454` Chr`6` : `32,585,638`	0.000	0.241	0.759
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.759	0.241	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.758	0.242	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.758	0.242	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.757	0.243	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.755	0.245	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.754	0.246	0.000
rs6679677 lBF = `148.434` Chr`1` : `114,303,808`	0.753	0.247	0.000
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	0.752	0.248	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.752	0.248	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.751	0.249	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.751	0.249	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.749	0.251	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.749	0.251	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.747	0.253	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.747	0.253	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.746	0.254	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.745	0.255	0.000
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.257	0.743
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.743	0.257	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.741	0.258	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.740	0.260	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.740	0.260	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.740	0.260	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.739	0.261	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.739	0.261	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.738	0.262	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.737	0.262	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.737	0.263	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.737	0.263	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.737	0.263	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.736	0.264	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.735	0.265	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.735	0.265	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.733	0.267	0.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	0.732	0.268	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.732	0.268	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.732	0.268	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.731	0.269	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.729	0.271	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.729	0.271	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.728	0.272	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.728	0.272	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.272	0.727
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.723	0.277	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.722	0.278	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.722	0.278	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.721	0.279	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.720	0.280	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.719	0.281	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.719	0.281	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.719	0.281	0.000
rs12725009 lBF = `3.38119` Chr`1` : `3,413,997`	0.718	0.282	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.718	0.282	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.718	0.282	0.000
rs3096702 lBF = `172.612` Chr`6` : `32,192,331`	0.716	0.284	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.716	0.284	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.715	0.285	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.715	0.285	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.714	0.286	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.714	0.286	0.000
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Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.703	0.297	0.000
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Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.699	0.301	0.000
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rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.691	0.309	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.691	0.309	0.000
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rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.641	0.359	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.641	0.359	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.640	0.360	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.639	0.361	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.639	0.361	0.000
rs7745656 lBF = `113.272` Chr`6` : `32,680,970`	0.000	0.361	0.639
rs2858333 lBF = `114.203` Chr`6` : `32,681,085`	0.000	0.361	0.639
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.639	0.361	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.639	0.361	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.639	0.361	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.638	0.362	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.638	0.362	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.637	0.362	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.636	0.364	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.636	0.364	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.636	0.364	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.635	0.365	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.635	0.365	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.635	0.365	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.635	0.365	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.635	0.365	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.634	0.366	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.634	0.366	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.634	0.366	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.634	0.366	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.633	0.366	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.633	0.367	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.632	0.368	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.632	0.368	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.632	0.368	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.001	0.368	0.632
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.632	0.368	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.632	0.368	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.631	0.369	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.631	0.369	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.631	0.369	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.630	0.369	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.630	0.370	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.630	0.370	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.630	0.370	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.630	0.370	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.630	0.370	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.630	0.370	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.629	0.370	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.629	0.371	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.000	0.371	0.629
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.629	0.371	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.629	0.371	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.628	0.371	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.628	0.372	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.628	0.372	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.628	0.372	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.627	0.373	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.627	0.373	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.627	0.373	0.000
rs2647073 lBF = `96.5928` Chr`6` : `32,574,014`	0.000	0.373	0.627
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.627	0.373	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.627	0.373	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.627	0.373	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.626	0.374	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.626	0.374	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.626	0.374	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.626	0.374	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.626	0.374	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.625	0.375	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.625	0.375	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.625	0.375	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.625	0.375	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.624	0.375	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.624	0.376	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.624	0.376	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.624	0.376	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.624	0.376	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.624	0.376	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.624	0.376	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.624	0.376	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.624	0.376	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.623	0.377	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.623	0.377	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.622	0.378	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.621	0.379	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.621	0.379	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.620	0.380	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.620	0.380	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.619	0.381	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.619	0.381	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.619	0.381	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.619	0.381	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.619	0.381	0.000
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	0.619	0.381	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.618	0.382	0.000
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.382	0.618
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.618	0.382	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.617	0.382	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.617	0.383	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

0.7275

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9812

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9670

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9570

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9486

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9460

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9422

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9210

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9105

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9031

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8948

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8812

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8656

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8597

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8556

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8544

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8541

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8504

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8368

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8332

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8327

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8265

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8242

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8182

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8163

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8058

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7955

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7869

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7859

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7819

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7770

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7680

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7660

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7652

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7591

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7401

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7382

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7332

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7263

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7235

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7222

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7218

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7109

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7073

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6839

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6749

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6736

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6707

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6659

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6650

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6620

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6595

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6525

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6486

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6279

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6178

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6178

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5852

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5849

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5826

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5801

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5778

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5749

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5696

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5643

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5602

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5488

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5427

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5392

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5300

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5164

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4883

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4836

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4768

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4590

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4588

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4549

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4511

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4497

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4473

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4427

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4409

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4357

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4352

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4141

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4032

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3955

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3886

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3885

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3512

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3420

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3241

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3174

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3095

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3086

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3033

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3006

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2992

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2920

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2818

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2791

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2743

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2557

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2509

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2506

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2471

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2348

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2291

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2288

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2279

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2209

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2205

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2082

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2082

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2011

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1969

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1942

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1847

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1813

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1778

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1571

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1545

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1505

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1464

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1449

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1360

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1339

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1321

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1269

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1245

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1241

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1214

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1169

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1129

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1094

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1084

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0993

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0910

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0895

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0873

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0829

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0777

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0741

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0713

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0666

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0622

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0618

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0586

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0549

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0530

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`)