TreeWAS – [M81.90] Osteoporosis, unspecified (Multiple sites)

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
rs13310130 lBF = `1.66235` Chr`7` : `96,346,088`	0.977	0.023	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.969	0.031	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.967	0.033	0.000
rs12823357 lBF = `6.08625` Chr`12` : `55,473,859`	0.958	0.042	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.940	0.060	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.938	0.062	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.930	0.070	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.907	0.093	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.905	0.095	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.902	0.098	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.896	0.104	0.000
rs3801387 lBF = `18.8319` Chr`7` : `120,974,765`	0.000	0.110	0.890
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.888	0.112	0.000
rs10242100 lBF = `18.8068` Chr`7` : `120,983,343`	0.000	0.114	0.886
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.876	0.124	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.860	0.140	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.859	0.141	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.856	0.144	0.000
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.852	0.148	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.850	0.150	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.848	0.152	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.845	0.155	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.838	0.162	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.837	0.163	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.835	0.165	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.834	0.166	0.000
rs917727 lBF = `18.2921` Chr`7` : `121,018,579`	0.000	0.166	0.834
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.832	0.168	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.832	0.168	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.832	0.168	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.172	0.828
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.825	0.175	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.824	0.176	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.823	0.177	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.823	0.177	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.819	0.181	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.818	0.182	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.817	0.183	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.815	0.185	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.812	0.188	0.000
rs56364616 lBF = `18.2523` Chr`7` : `121,017,474`	0.000	0.188	0.812
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.809	0.191	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.808	0.192	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.804	0.196	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.801	0.199	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.799	0.201	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.795	0.205	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.795	0.205	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.794	0.206	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.789	0.211	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.789	0.211	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.788	0.212	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.787	0.213	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.785	0.215	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.784	0.216	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.783	0.217	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.781	0.219	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.777	0.223	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.770	0.230	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.770	0.230	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.770	0.230	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.769	0.231	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.767	0.233	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.767	0.233	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.766	0.234	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.765	0.235	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.762	0.238	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.762	0.238	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.758	0.242	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.757	0.243	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.755	0.245	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.754	0.246	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.753	0.247	0.000
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.751	0.249	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.749	0.251	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.749	0.251	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.746	0.254	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.745	0.255	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.742	0.258	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.738	0.262	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.738	0.262	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.736	0.264	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.731	0.269	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.729	0.271	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.729	0.271	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.727	0.273	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.726	0.274	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.723	0.277	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.721	0.279	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.721	0.279	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.718	0.282	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.715	0.285	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.715	0.285	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.713	0.287	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.712	0.288	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.710	0.289	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.710	0.290	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.709	0.291	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.708	0.292	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.707	0.293	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.707	0.293	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.706	0.294	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.701	0.299	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.700	0.300	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.698	0.302	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.697	0.302	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.697	0.303	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.695	0.305	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.694	0.306	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.693	0.307	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.693	0.307	0.000
rs206018 lBF = `35.9666` Chr`6` : `32,177,880`	0.692	0.308	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.692	0.308	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.691	0.309	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.691	0.309	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.690	0.310	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.689	0.311	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.689	0.311	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.689	0.311	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.687	0.313	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.685	0.315	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.685	0.315	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.685	0.315	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.685	0.315	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.684	0.316	0.000
rs11891674 lBF = `5.24113` Chr`2` : `40,281,964`	0.683	0.317	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.682	0.318	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.681	0.319	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.681	0.319	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.679	0.321	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.678	0.322	0.000
rs113011189 lBF = `0.897795` Chr`3` : `49,250,007`	0.000	0.323	0.677
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.676	0.324	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.676	0.324	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.675	0.325	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.673	0.327	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.671	0.329	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.669	0.330	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.669	0.331	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.669	0.331	0.000
rs10988542 lBF = `0.542065` Chr`9` : `132,657,264`	0.668	0.332	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.668	0.332	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.667	0.333	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.666	0.334	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.663	0.337	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.663	0.337	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.663	0.337	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.663	0.337	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.659	0.341	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.658	0.342	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.656	0.344	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.656	0.344	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.656	0.344	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.656	0.344	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.656	0.344	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.655	0.345	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.653	0.347	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.653	0.347	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.653	0.347	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.652	0.348	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.650	0.350	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.650	0.350	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.649	0.351	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.648	0.352	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.647	0.353	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.642	0.358	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.642	0.358	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.641	0.359	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.641	0.359	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.641	0.359	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.640	0.360	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.640	0.360	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.640	0.360	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.639	0.361	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.639	0.361	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.638	0.362	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.637	0.363	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.636	0.364	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.636	0.364	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.633	0.367	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.633	0.367	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.630	0.370	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.629	0.371	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.629	0.371	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.627	0.372	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.627	0.373	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.627	0.373	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.626	0.374	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.626	0.374	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.626	0.374	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.625	0.374	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.625	0.375	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.625	0.375	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.625	0.375	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.625	0.375	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.624	0.376	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.623	0.377	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.623	0.377	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.622	0.378	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.622	0.378	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.622	0.378	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.619	0.381	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.617	0.383	0.000
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rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.518	0.482	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.517	0.482	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.517	0.483	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.515	0.484	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.515	0.485	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.515	0.485	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.515	0.485	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.515	0.485	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.514	0.486	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.514	0.486	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.514	0.486	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.513	0.487	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.512	0.487	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.512	0.487	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.512	0.488	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.512	0.488	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.512	0.488	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.511	0.489	0.000
rs10947210 lBF = `10.1686` Chr`6` : `31,417,742`	0.510	0.490	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.509	0.491	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.508	0.492	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.508	0.492	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.508	0.492	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.507	0.493	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.506	0.493	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.506	0.494	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.506	0.494	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.506	0.494	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.504	0.496	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.504	0.496	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.503	0.497	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.502	0.497	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.503	0.497	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.499	0.501
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.500	0.500	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.500	0.500	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.499	0.501	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.499	0.501	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.499	0.501	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.499	0.501	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.498	0.502	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.498	0.502	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.498	0.502	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.497	0.503	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.497	0.503	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.497	0.503	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.497	0.503	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.497	0.503	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.496	0.504	0.000
rs181424343 lBF = `5.27138` Chr`1` : `218,594,484`	0.496	0.504	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.495	0.505	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.495	0.505	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.009	0.505	0.486
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.495	0.505	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.494	0.506	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.493	0.507	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.493	0.507	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.493	0.507	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.492	0.507	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.492	0.508	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.492	0.508	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.491	0.509	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.491	0.509	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.491	0.509	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.491	0.509	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.491	0.509	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.491	0.509	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.490	0.509	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.489	0.510	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.489	0.511	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.489	0.511	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.489	0.511	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.489	0.511	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.489	0.511	0.000
rs75617879 lBF = `7.44483` Chr`6` : `2,197,935`	0.489	0.511	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.488	0.511	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.488	0.512	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.488	0.512	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.488	0.512	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.488	0.512	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.487	0.513	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.487	0.513	0.000
rs7086888 lBF = `0.616448` Chr`10` : `4,676,196`	0.487	0.513	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.486	0.514	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.486	0.514	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.486	0.514	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.485	0.515	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.485	0.515	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.485	0.515	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.484	0.516	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.484	0.516	0.000
rs2442744 lBF = `181.524` Chr`6` : `31,345,376`	0.484	0.516	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.484	0.516	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.484	0.516	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.484	0.516	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 X0312

log Bayes Factor = 35.9944

contains 2 variants

0.4492

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9969

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9937

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9863

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9843

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9721

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9707

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9334

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9080

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9055

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9051

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.8915

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8835

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8817

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8549

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8383

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8363

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8362

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8341

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8253

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8186

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8070

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7713

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7704

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7554

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7539

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7477

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7297

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7171

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7139

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7115

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7068

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7039

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6995

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6950

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6887

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6814

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6722

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6721

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6541

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6348

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6304

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6266

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6199

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6161

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5981

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5868

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5847

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5802

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5735

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5579

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5567

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5542

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5351

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5326

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5293

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5178

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5044

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4984

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4961

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4897

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4881

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4829

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4828

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4701

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4463

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4251

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4178

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4086

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3965

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3928

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3917

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3841

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3836

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3808

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3804

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3731

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3704

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3607

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3309

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3224

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2948

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2866

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2827

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2806

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2755

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2722

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2691

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2669

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2638

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2631

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2566

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2410

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2390

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2380

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2378

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2318

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2304

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2223

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2218

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2127

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2094

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2083

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2067

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2056

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2027

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2025

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2006

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1999

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1898

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1855

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1734

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1728

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1703

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1697

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1560

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1558

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1531

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1484

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1455

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1410

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1350

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1332

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1308

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1293

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1288

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1275

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1275

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1234

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1190

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1150

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1145

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1071

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1057

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1012

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1001

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0999

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0943

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0932

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0866

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0863

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0828

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0824

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0824

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0820

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0775

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0771

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0764

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0748

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0741

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0729

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0710

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0704

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0698

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0667

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0611

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0559

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0556

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0538

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0534

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0523

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`)