TreeWAS – [M16] Coxarthrosis [arthrosis of hip]

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
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.989	0.011	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.978	0.022	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.972	0.028	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.941	0.059	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.876	0.124	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.875	0.125	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.857	0.143	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.759	0.241	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.737	0.263	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.731	0.269	0.000
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.707	0.293	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.701	0.299	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.694	0.306	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.686	0.314	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.671	0.329	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.668	0.332	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.642	0.358	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.618	0.382	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.556	0.444	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.553	0.447	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.551	0.449	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.550	0.449	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.546	0.454	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.545	0.455	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.544	0.456	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.536	0.464	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.535	0.465	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.528	0.472	0.000
rs60525454 lBF = `0.680418` Chr`7` : `2,652,222`	0.517	0.483	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.503	0.497	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.502	0.498	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.499	0.500	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.472	0.528	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.450	0.550	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.445	0.555	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.435	0.565	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.411	0.589	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.382	0.618	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.377	0.623	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.374	0.626	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.353	0.647	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.351	0.648	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.348	0.652	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.338	0.662	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.335	0.665	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.331	0.669	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.318	0.682	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.314	0.686	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.292	0.707	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.288	0.712	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.276	0.724	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.275	0.724	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.274	0.726	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.274	0.726	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.272	0.728	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.271	0.729	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.270	0.730	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.266	0.734	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.266	0.734	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.261	0.739	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.260	0.740	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.258	0.742	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.257	0.743	0.000
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.251	0.749	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.250	0.750	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.250	0.750	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.242	0.758	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.239	0.761	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.235	0.765	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.231	0.769	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.229	0.771	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.222	0.778	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.221	0.779	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.217	0.783	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.215	0.784	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.215	0.785	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.211	0.789	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.205	0.795	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.205	0.795	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.201	0.799	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.193	0.806	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.193	0.807	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.186	0.813	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.185	0.814	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.181	0.816	0.003
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.181	0.819	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.171	0.829	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.170	0.830	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.170	0.830	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.168	0.832	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.165	0.835	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.161	0.839	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.160	0.840	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.157	0.843	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.154	0.843	0.003
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.156	0.844	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.154	0.846	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.151	0.846	0.003
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.153	0.847	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.151	0.849	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.149	0.851	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.143	0.857	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.141	0.859	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.141	0.859	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.140	0.860	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.133	0.867	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.126	0.874	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.123	0.877	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.120	0.880	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.120	0.880	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.116	0.884	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.116	0.884	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.113	0.884	0.003
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.113	0.887	0.001
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.113	0.887	0.001
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.112	0.888	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.111	0.888	0.001
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.109	0.891	0.001
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.108	0.892	0.000
rs10250997 lBF = `1.92169` Chr`7` : `136,146,536`	0.107	0.893	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.106	0.894	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.105	0.895	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.105	0.895	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.103	0.897	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.103	0.897	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.098	0.902	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.098	0.902	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.097	0.903	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.096	0.904	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.093	0.907	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.086	0.913	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.086	0.914	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.085	0.915	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.079	0.921	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.078	0.922	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.077	0.923	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.077	0.923	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.077	0.923	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.076	0.924	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.075	0.925	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.071	0.929	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.069	0.931	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.066	0.934	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.065	0.935	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.065	0.935	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.065	0.935	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.064	0.936	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.056	0.938	0.006
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.060	0.939	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.059	0.941	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.058	0.942	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.057	0.942	0.001
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.057	0.943	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.056	0.943	0.001
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.057	0.943	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.056	0.944	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.055	0.945	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.055	0.945	0.000
rs38989 lBF = `-0.0308141` Chr`7` : `153,578,416`	0.054	0.946	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.053	0.947	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.052	0.947	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.052	0.948	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.051	0.949	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.050	0.950	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.050	0.950	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.050	0.950	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.049	0.950	0.001
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.049	0.950	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.049	0.951	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.046	0.954	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.045	0.955	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.044	0.956	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.044	0.956	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.042	0.958	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.042	0.958	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.042	0.958	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.040	0.959	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.039	0.960	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.038	0.962	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.038	0.962	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.033	0.964	0.004
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.036	0.964	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.034	0.966	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.032	0.968	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.032	0.968	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.031	0.969	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.031	0.969	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.031	0.969	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.030	0.970	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.030	0.970	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.030	0.970	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.030	0.970	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.030	0.970	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.030	0.970	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.028	0.970	0.002
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.029	0.971	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.028	0.972	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.027	0.973	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.027	0.973	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.026	0.974	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.026	0.974	0.000
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rs12539741 lBF = `0.276177` Chr`7` : `128,596,805`	0.001	0.999	0.000
rs35000415 lBF = `0.275885` Chr`7` : `128,585,616`	0.001	0.999	0.000
rs17140875 lBF = `0.0608217` Chr`7` : `19,248,278`	0.001	0.999	0.000
rs145241704 lBF = `-0.0408507` Chr`7` : `141,505,087`	0.000	0.999	0.001
rs6946131 lBF = `-0.117244` Chr`7` : `54,783,373`	0.000	0.999	0.001
rs140104968 lBF = `0.178321` Chr`7` : `99,543,627`	0.001	0.999	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.001
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.001	0.999	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.001	0.999	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.001	0.999	0.000
rs12705959 lBF = `0.431651` Chr`7` : `113,998,246`	0.000	0.999	0.001
rs6956740 lBF = `-0.00046026` Chr`7` : `45,903,807`	0.001	0.999	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.001	0.999	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	0.999	0.000
rs2390593 lBF = `-0.0351175` Chr`7` : `21,861,112`	0.000	0.999	0.001
rs10232457 lBF = `0.0730248` Chr`7` : `87,462,515`	0.001	0.999	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.001	0.999	0.000
rs12537284 lBF = `0.43778` Chr`7` : `128,717,906`	0.001	0.999	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs79489058 lBF = `0.0657504` Chr`7` : `29,456,280`	0.000	1.000	0.000
rs2530544 lBF = `-0.0302503` Chr`7` : `34,697,060`	0.000	1.000	0.000
rs2110267 lBF = `-0.104914` Chr`7` : `153,535,689`	0.000	1.000	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.000	1.000	0.000
rs2709736 lBF = `0.241787` Chr`7` : `20,862,302`	0.000	1.000	0.000
rs17157903 lBF = `0.0742906` Chr`7` : `103,628,036`	0.000	1.000	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.000	1.000	0.000
rs4294134 lBF = `0.553239` Chr`7` : `135,293,128`	0.000	1.000	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	1.000	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	1.000	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	1.000	0.000
rs10274759 lBF = `0.00139421` Chr`7` : `114,914,608`	0.000	1.000	0.000
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.000	1.000	0.000
rs1509911 lBF = `0.0294952` Chr`7` : `80,805,175`	0.000	1.000	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.000	1.000	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.000	1.000	0.000
rs7777054 lBF = `-0.0516345` Chr`7` : `17,612,385`	0.000	1.000	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	1.000	0.000
rs2108225 lBF = `2.80286` Chr`7` : `107,453,103`	0.000	1.000	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.000	1.000	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	1.000	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.000	1.000	0.000
rs6978230 lBF = `-0.00355241` Chr`7` : `137,529,578`	0.000	1.000	0.000
rs1595014 lBF = `-0.0588072` Chr`7` : `12,188,529`	0.000	1.000	0.000
rs6946969 lBF = `-0.0648806` Chr`7` : `70,211,027`	0.000	1.000	0.000
rs2888830 lBF = `-0.117204` Chr`7` : `90,915,354`	0.000	1.000	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.000	1.000	0.000
rs679830 lBF = `0.470426` Chr`7` : `54,674,873`	0.000	1.000	0.000
rs1488515 lBF = `0.00228781` Chr`7` : `95,631,196`	0.000	1.000	0.000
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.000	1.000	0.000
rs6972204 lBF = `-0.05031` Chr`7` : `2,582,452`	0.000	1.000	0.000
rs180242 lBF = `-0.111675` Chr`7` : `93,549,596`	0.000	1.000	0.000
rs73066442 lBF = `-0.00645015` Chr`7` : `21,592,973`	0.000	1.000	0.000
rs2853552 lBF = `-0.0360162` Chr`7` : `18,980,267`	0.000	1.000	0.000
rs6947495 lBF = `-0.094916` Chr`7` : `153,553,064`	0.000	1.000	0.000
rs17166499 lBF = `0.0877823` Chr`7` : `12,937,255`	0.000	1.000	0.000
rs140607780 lBF = `0.0596114` Chr`7` : `100,103,523`	0.000	1.000	0.000
rs1451375 lBF = `0.0198005` Chr`7` : `50,622,712`	0.000	1.000	0.000
rs10260824 lBF = `-0.00715685` Chr`7` : `93,637,625`	0.000	1.000	0.000
rs10232172 lBF = `-0.0145309` Chr`7` : `54,182,781`	0.000	1.000	0.000
rs1801085 lBF = `0.234665` Chr`7` : `27,168,590`	0.000	1.000	0.000
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.000	1.000	0.000
rs17712049 lBF = `-0.0156929` Chr`7` : `48,266,195`	0.000	1.000	0.000
rs17807185 lBF = `-0.028973` Chr`7` : `77,308,295`	0.000	1.000	0.000
rs2192271 lBF = `-0.0903619` Chr`7` : `153,549,296`	0.000	1.000	0.000
rs17664743 lBF = `-0.0939542` Chr`7` : `50,253,897`	0.000	1.000	0.000
rs12671878 lBF = `-0.096223` Chr`7` : `153,558,949`	0.000	1.000	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.000	1.000	0.000
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.000	1.000	0.000
rs382140 lBF = `0.108171` Chr`7` : `107,782,200`	0.000	1.000	0.000
rs10264856 lBF = `0.0342754` Chr`7` : `87,262,581`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs117898805 lBF = `-0.00112999` Chr`7` : `54,516,128`	0.000	1.000	0.000
rs2157926 lBF = `0.0340967` Chr`7` : `87,270,500`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs62468398 lBF = `-0.0349589` Chr`7` : `131,893,485`	0.000	1.000	0.000
rs6964415 lBF = `-0.0363183` Chr`7` : `46,242,583`	0.000	1.000	0.000
rs12702087 lBF = `-0.0515051` Chr`7` : `44,812,607`	0.000	1.000	0.000
rs9920 lBF = `-0.0641395` Chr`7` : `116,200,092`	0.000	1.000	0.000
rs4727751 lBF = `-0.0861539` Chr`7` : `78,336,934`	0.000	1.000	0.000
rs73691971 lBF = `10.3781` Chr`7` : `38,144,783`	0.000	1.000	0.000
rs73405966 lBF = `1.11508` Chr`7` : `101,675,299`	0.000	1.000	0.000
rs7803454 lBF = `0.643104` Chr`7` : `99,991,548`	0.000	1.000	0.000
rs1949829 lBF = `0.144483` Chr`7` : `51,537,887`	0.000	1.000	0.000
rs7786410 lBF = `0.0478936` Chr`7` : `55,922,323`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	1.000	0.000
rs12532960 lBF = `0.377984` Chr`7` : `42,325,625`	0.000	1.000	0.000
rs4727012 lBF = `0.285571` Chr`7` : `148,740,493`	0.000	1.000	0.000
rs61549860 lBF = `0.0962746` Chr`7` : `18,444,419`	0.000	1.000	0.000
rs4947962 lBF = `0.0339462` Chr`7` : `55,075,807`	0.000	1.000	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.000	1.000	0.000
rs38152 lBF = `0.0173628` Chr`7` : `20,047,575`	0.000	1.000	0.000
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	1.000	0.000
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.000	1.000	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 X0099

log Bayes Factor = 16.3687

contains 3 variants

0.9999

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

1.0000

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

1.0000

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

1.0000

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.9993

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9795

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9659

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9575

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9569

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9549

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9525

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9474

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9378

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8885

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8610

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8579

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8484

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8204

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8172

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8013

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8002

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7614

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7454

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7388

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7299

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7257

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7204

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6978

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6670

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6548

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6283

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5836

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5564

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5424

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5319

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5311

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5267

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5012

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4890

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4840

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4603

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4561

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4552

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4306

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4206

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4087

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3992

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3796

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3761

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3648

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3629

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3603

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3600

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3431

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3377

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3366

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3255

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3136

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3050

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2908

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2904

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2863

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2840

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2784

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2723

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2701

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2679

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2594

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2585

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2522

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2513

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2504

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2410

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2392

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2303

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2298

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2287

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2251

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2244

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2235

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2226

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2197

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2136

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2124

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2122

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2114

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2090

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2017

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1990

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1956

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1936

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1936

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1902

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1893

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1887

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1828

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1749

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1701

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1636

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1597

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1489

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1441

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1427

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1354

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1340

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1337

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1318

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1227

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1222

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1219

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1207

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1196

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1183

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1181

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1135

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1091

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1080

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1054

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1038

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0976

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0928

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0916

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0890

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0888

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0884

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0873

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0860

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0846

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0842

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0833

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0807

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0736

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0714

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0697

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0691

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0652

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0611

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0603

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0599

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0599

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0576

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0561

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0551

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0532

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.

Parent term	M15-M19 Arthrosis
Nested terms	M16.0 Primary coxarthrosis, bilateral M16.1 Other primary coxarthrosis M16.2 Coxarthrosis resulting from dysplasia, bilateral M16.3 Other dysplastic coxarthrosis M16.4 Posttraumatic coxarthrosis, bilateral M16.5 Other posttraumatic coxarthrosis M16.6 Other secondary coxarthrosis, bilateral M16.7 Other secondary coxarthrosis M16.9 Coxarthrosis, unspecified

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`)