TreeWAS – [Z99.2] Dependence on renal dialysis

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
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.895	0.105	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.720	0.280	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.705	0.295	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.690	0.310	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.676	0.324	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.629	0.371	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.621	0.379	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.596	0.404	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.592	0.408	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.591	0.409	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.585	0.415	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.579	0.421	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.575	0.425	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.567	0.433	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.563	0.437	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.554	0.446	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.542	0.458	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.530	0.469	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.512	0.488	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.505	0.495	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.489	0.511	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.486	0.513	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.468	0.532	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.468	0.532	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.457	0.542	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.446	0.554	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.434	0.566	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.430	0.570	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.429	0.571	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.415	0.585	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.394	0.605	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.390	0.610	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.387	0.612	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.353	0.647	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.352	0.648	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.325	0.675	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.307	0.693	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.296	0.704	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.278	0.722	0.001
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.260	0.740	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.257	0.742	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.248	0.751	0.001
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.238	0.761	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.229	0.770	0.001
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.220	0.779	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.210	0.790	0.001
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.208	0.792	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.142	0.858	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.142	0.858	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.059	0.941	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.059	0.941	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.057	0.943	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.050	0.950	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.034	0.966	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.031	0.969	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.983	0.017
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.015	0.985	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.014	0.986	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.014	0.986	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.013	0.987	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.012	0.987	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.012	0.988	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.012	0.988	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.012	0.988	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.989	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.010	0.990	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.009	0.991	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.008	0.992	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.007	0.993	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.007	0.993	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.007	0.993	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	0.994	0.006
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.006	0.994	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.006	0.994	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.994	0.006
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.995	0.005
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.004	0.996	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.004	0.996	0.000
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.004	0.996	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.003	0.997	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.003	0.997	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.003	0.997	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.003	0.997	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.003	0.997	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.003	0.997	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.003	0.997	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.003	0.997	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.003	0.997	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	0.997	0.003
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.003	0.997	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.997	0.003
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.003	0.997	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.003	0.997	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.997	0.003
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.003	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.997	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.002	0.997	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.998	0.002
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.002	0.998	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.002	0.998	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.002	0.998	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.002	0.998	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.002	0.998	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.000	0.998	0.002
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.002	0.998	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.002	0.998	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.002	0.998	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.002	0.998	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.002	0.998	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.002	0.998	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.002	0.998	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.002	0.998	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.002	0.998	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	0.998	0.002
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.000	0.998	0.002
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	0.998	0.002
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	0.998	0.002
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.002	0.998	0.000
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.000	0.998	0.002
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.002	0.998	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.002	0.998	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.998	0.002
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.002	0.998	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.002	0.998	0.000
rs1559777 lBF = `-0.0734956` Chr`15` : `58,080,617`	0.000	0.998	0.002
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.002	0.998	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.002	0.998	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.002	0.998	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.002	0.998	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.998	0.002
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	0.998	0.002
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	0.998	0.002
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.998	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.002	0.998	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.002	0.998	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.998	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.002	0.998	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.002	0.998	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	0.998	0.002
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.000	0.998	0.001
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.998	0.002
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.999	0.001
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	0.999	0.001
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.001	0.999	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	0.999	0.001
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	0.999	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	0.999	0.001
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.001	0.999	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	0.999	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.001	0.999	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	0.999	0.001
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.001	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.001	0.999	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.001	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	0.999	0.001
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
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rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	1.000	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	1.000	0.000
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	1.000	0.000
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	1.000	0.000
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.000	1.000	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.000	1.000	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.000	1.000	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.000	1.000	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	1.000	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	1.000	0.000
rs80162468 lBF = `13.7456` Chr`15` : `79,026,316`	0.000	1.000	0.000
rs4886585 lBF = `13.7456` Chr`15` : `79,026,315`	0.000	1.000	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	1.000	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	1.000	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	1.000	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	1.000	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	1.000	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.000	1.000	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.000	1.000	0.000
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	1.000	0.000
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	1.000	0.000
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	1.000	0.000
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	1.000	0.000
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	1.000	0.000
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	1.000	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	1.000	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	1.000	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	1.000	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	1.000	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	1.000	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7192

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5889

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9997

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9996

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9995

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9994

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9991

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9987

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9984

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9979

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9978

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9936

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9916

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9881

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9850

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9832

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9830

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9821

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9781

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9781

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9735

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9726

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9721

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9711

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9707

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9658

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9643

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9621

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9494

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9440

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9389

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9349

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9323

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9321

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9284

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9238

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9205

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9117

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9068

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9023

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8850

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8829

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8827

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8827

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8811

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8803

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8784

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8749

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8654

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8643

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8577

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8510

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8428

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8402

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8331

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8318

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8262

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8223

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8090

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8082

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8041

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8039

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7710

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7417

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7365

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7261

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7135

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6598

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6436

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6342

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6338

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6035

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5885

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5737

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5498

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5004

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4970

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4905

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4890

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4801

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4800

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4790

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4361

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4006

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3968

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3577

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3471

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3439

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3364

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3087

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2911

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2764

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2557

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2331

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2328

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2308

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2272

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2216

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2199

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2056

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1965

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1920

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1801

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1712

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1592

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1425

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1354

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1303

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1225

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1191

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0985

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0875

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0851

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0747

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0644

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0608

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0550

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0528

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`)