TreeWAS – [M41.96] Scoliosis, unspecified (Lumbar region)

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
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.990	0.010	0.000
rs10221903 lBF = `5.99013` Chr`2` : `69,679,500`	0.982	0.018	0.000
rs7559850 lBF = `6.25029` Chr`2` : `69,648,520`	0.962	0.038	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.953	0.047	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.952	0.048	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.947	0.053	0.000
rs6546509 lBF = `8.67406` Chr`2` : `69,602,633`	0.943	0.057	0.000
rs6546511 lBF = `8.68057` Chr`2` : `69,615,295`	0.938	0.062	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.927	0.073	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.925	0.075	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.913	0.087	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.908	0.092	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.895	0.105	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.882	0.118	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.867	0.133	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.859	0.141	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.852	0.148	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.851	0.149	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.848	0.152	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.834	0.166	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.829	0.171	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.817	0.183	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.811	0.189	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.811	0.189	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.208	0.792
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.789	0.211	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.788	0.212	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.788	0.212	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.787	0.213	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.787	0.213	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.785	0.215	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.784	0.216	0.000
rs6933349 lBF = `25.9274` Chr`6` : `31,002,013`	0.784	0.216	0.000
rs11677466 lBF = `0.96201` Chr`2` : `232,982,257`	0.784	0.216	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.780	0.220	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.778	0.222	0.000
rs9277878 lBF = `38.5943` Chr`6` : `33,107,316`	0.777	0.223	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.777	0.223	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.775	0.225	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.774	0.226	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.773	0.227	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.771	0.229	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.770	0.230	0.000
rs9277643 lBF = `26.0334` Chr`6` : `33,083,574`	0.769	0.231	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.767	0.233	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.766	0.234	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.766	0.234	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.766	0.234	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.763	0.237	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.761	0.239	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.759	0.241	0.000
rs980952 lBF = `1.45621` Chr`11` : `41,225,954`	0.759	0.241	0.000
rs2862035 lBF = `1.4402` Chr`11` : `41,225,433`	0.757	0.243	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.748	0.252	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.748	0.252	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.748	0.252	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.741	0.259	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.740	0.260	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.737	0.263	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.737	0.263	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.737	0.263	0.000
rs9277765 lBF = `38.0907` Chr`6` : `33,096,394`	0.734	0.266	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.733	0.266	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.733	0.267	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.731	0.269	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.727	0.273	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.724	0.276	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.723	0.277	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.722	0.278	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.722	0.278	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.718	0.282	0.000
rs4713610 lBF = `37.7088` Chr`6` : `33,107,955`	0.717	0.283	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.716	0.284	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.706	0.294	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.704	0.296	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.702	0.298	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.700	0.300	0.000
rs733208 lBF = `35.3584` Chr`6` : `33,082,308`	0.699	0.301	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.699	0.301	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.698	0.302	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.696	0.304	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.696	0.304	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.694	0.306	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.693	0.307	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.693	0.307	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.692	0.308	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.689	0.311	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.688	0.312	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.688	0.312	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.688	0.312	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.686	0.314	0.000
rs402219 lBF = `1.19866` Chr`6` : `160,789,296`	0.684	0.316	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.683	0.317	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.683	0.317	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.676	0.324	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.675	0.325	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.675	0.325	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.675	0.325	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.673	0.327	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.672	0.328	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.671	0.329	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.670	0.330	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.670	0.330	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.669	0.331	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.667	0.333	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.666	0.334	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.664	0.336	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.659	0.341	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.659	0.341	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.658	0.342	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.657	0.343	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.657	0.343	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.656	0.344	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.655	0.345	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.655	0.345	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.654	0.346	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.653	0.347	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.651	0.349	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.651	0.349	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.650	0.350	0.000
rs9277637 lBF = `25.6804` Chr`6` : `33,082,635`	0.649	0.351	0.000
rs9277761 lBF = `37.809` Chr`6` : `33,095,647`	0.649	0.351	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.647	0.353	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.645	0.355	0.000
rs4711253 lBF = `43.79` Chr`6` : `31,007,081`	0.644	0.356	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.643	0.357	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.643	0.357	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.642	0.358	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.641	0.359	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.641	0.359	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.641	0.359	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.641	0.359	0.000
rs9262544 lBF = `7.47589` Chr`6` : `30,992,546`	0.641	0.359	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.640	0.360	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.640	0.360	0.000
rs9277641 lBF = `25.7852` Chr`6` : `33,083,458`	0.639	0.361	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.638	0.362	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.638	0.362	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.636	0.364	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.634	0.366	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.633	0.367	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.632	0.368	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.632	0.368	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.631	0.369	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.631	0.369	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.631	0.369	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.631	0.369	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.629	0.371	0.000
rs6920606 lBF = `45.9182` Chr`6` : `32,997,674`	0.629	0.371	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.629	0.371	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.628	0.372	0.000
rs4713423 lBF = `25.0909` Chr`6` : `31,002,301`	0.627	0.373	0.000
rs11891674 lBF = `5.24113` Chr`2` : `40,281,964`	0.626	0.374	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.626	0.374	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.624	0.376	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.624	0.376	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.621	0.379	0.000
rs9296404 lBF = `0.421584` Chr`6` : `42,925,803`	0.621	0.379	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.620	0.380	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.620	0.380	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.619	0.381	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.619	0.381	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.619	0.381	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.618	0.382	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.617	0.383	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.610	0.390	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.609	0.391	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.608	0.392	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.607	0.393	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.607	0.393	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.607	0.393	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.606	0.394	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.605	0.394	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.605	0.395	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.604	0.396	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.604	0.396	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.603	0.397	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.603	0.397	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.602	0.397	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.601	0.399	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.600	0.400	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.600	0.400	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.599	0.401	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.598	0.402	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.597	0.403	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.597	0.403	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.595	0.405	0.000
rs71593329 lBF = `6.13045` Chr`5` : `158,620,079`	0.595	0.405	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.594	0.406	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.593	0.407	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.593	0.407	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.592	0.408	0.000
rs2282850 lBF = `14.1533` Chr`6` : `33,267,103`	0.591	0.409	0.000
rs9277661 lBF = `25.8029` Chr`6` : `33,084,641`	0.590	0.410	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.590	0.410	0.000
rs9262494 lBF = `6.98227` Chr`6` : `30,986,504`	0.589	0.411	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.589	0.411	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.589	0.411	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.588	0.411	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.588	0.412	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.587	0.413	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.587	0.413	0.000
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rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.476	0.524	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.475	0.525	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.475	0.525	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.475	0.525	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.475	0.525	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.474	0.526	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.474	0.526	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.473	0.527	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.473	0.527	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.473	0.527	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.472	0.528	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.471	0.529	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.471	0.529	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.470	0.530	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.470	0.530	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.469	0.531	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.468	0.532	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.468	0.532	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.468	0.532	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.468	0.532	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.468	0.532	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.467	0.533	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.467	0.533	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.467	0.533	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.467	0.533	0.000
rs13068893 lBF = `0.647068` Chr`3` : `122,026,089`	0.467	0.533	0.000
rs1704996 lBF = `30.724` Chr`6` : `33,182,895`	0.466	0.534	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.466	0.534	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.466	0.534	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.465	0.535	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.465	0.535	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.465	0.535	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.465	0.535	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.464	0.535	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.464	0.536	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.464	0.536	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.464	0.536	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.464	0.536	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.464	0.536	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.464	0.536	0.000
rs2395349 lBF = `24.906` Chr`6` : `33,083,134`	0.463	0.537	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.463	0.537	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.463	0.537	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.462	0.538	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.462	0.538	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.462	0.538	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.462	0.538	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.462	0.538	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.462	0.538	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.461	0.538	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.461	0.539	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.460	0.539	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.460	0.540	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.460	0.540	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.460	0.540	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.460	0.540	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.459	0.541	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.458	0.542	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.458	0.542	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.458	0.542	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.458	0.542	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.458	0.542	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.457	0.543	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.457	0.543	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.456	0.543	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.456	0.544	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.456	0.544	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.456	0.544	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.455	0.544	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.455	0.544	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.455	0.544	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.455	0.545	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.455	0.545	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.455	0.545	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.454	0.545	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.455	0.545	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.454	0.545	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.454	0.546	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.454	0.546	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.454	0.546	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.454	0.546	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.453	0.547	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.453	0.547	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.453	0.547	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.453	0.547	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.453	0.547	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.452	0.547	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.452	0.548	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.452	0.548	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.452	0.548	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.451	0.549	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.450	0.549	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.450	0.550	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.450	0.550	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.450	0.550	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.449	0.551	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9967

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9941

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9937

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9837

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9799

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9725

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9721

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9675

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9608

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9578

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9575

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9507

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9495

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9444

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9439

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9439

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9412

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9392

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9120

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8952

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8893

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8785

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8679

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8609

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8557

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8464

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8269

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8229

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8137

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8109

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8068

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7897

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7765

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7753

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7609

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7604

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7384

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7334

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7307

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7292

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7287

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7253

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7085

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7080

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7037

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.7014

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6935

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6853

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6794

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6532

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6472

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6471

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6456

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6359

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6329

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6250

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6158

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6138

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6048

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5975

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5962

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5723

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5665

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5467

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5446

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5263

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5141

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5026

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4992

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4739

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4732

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4716

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4669

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4582

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4498

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4438

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4413

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4390

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4383

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4330

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4173

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4016

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4010

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3920

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3850

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3808

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3801

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3800

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.3690

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3542

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3370

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3326

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3248

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3241

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3235

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2968

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2954

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2905

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2838

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2748

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2731

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2654

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2652

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2641

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2600

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2566

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2519

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2511

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2443

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2431

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2402

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2396

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2374

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2350

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2176

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2141

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2069

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2062

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1935

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1921

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1916

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1882

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1766

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1684

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1634

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1617

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1603

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1572

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1559

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1538

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1532

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1462

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1420

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1420

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1347

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1339

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1321

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1214

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1209

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1189

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1170

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1155

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1151

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1132

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0949

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0895

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0894

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0850

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0818

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0797

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0790

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0764

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0709

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0681

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0654

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0625

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0615

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0584

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0567

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0538

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0535

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0526

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0520

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`)