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Zheng, HF; Forgetta, V; Hsu, YH; Estrada, K; Rosello-Diez, A; Leo, PJ; Dahia, CL; Park-Min, KH; Tobias, JH; Kooperberg, C; Kleinman, A; Styrkarsdottir, U; Liu, CT; Uggla, C; Evans, DS; Nielson, CM; Walter, K; Pettersson-Kymmer, U; McCarthy, S; Eriksson, J; Kwan, T; Jhamai, M; Trajanoska, K; Memari, Y; Min, J; Huang, J; Danecek, P; Wilmot, B; Li, R; Chou, WC; Mokry, LE; Moayyeri, A; Claussnitzer, M; Cheng, CH; Cheung, W; Medina-Gómez, C; Ge, B; Chen, SH; Choi, K; Oei, L; Fraser, J; Kraaij, R; Hibbs, MA; Gregson, CL; Paquette, D; Hofman, A; Wibom, C; Tranah, GJ; Marshall, M; Gardiner, BB; Cremin, K; Auer, P; Hsu, L; Ring, S; Tung, JY; Thorleifsson, G; Enneman, AW; van, Schoor, NM; de, Groot, LC; van, der, Velde, N; Melin, B; Kemp, JP; Christiansen, C; Sayers, A; Zhou, Y; Calderari, S; van, Rooij, J; Carlson, C; Peters, U; Berlivet, S; Dostie, J; Uitterlinden, AG; Williams, SR; Farber, C; Grinberg, D; LaCroix, AZ; Haessler, J; Chasman, DI; Giulianini, F; Rose, LM; Ridker, PM; Eisman, JA; Nguyen, TV; Center, JR; Nogues, X; Garcia-Giralt, N; Launer, LL; Gudnason, V; Mellström, D; Vandenput, L; Amin, N; van, Duijn, CM; Karlsson, MK; Ljunggren, Ö; Svensson, O; Hallmans, G; Rousseau, F; Giroux, S; Bussière, J; Arp, PP; Koromani, F; Prince, RL; Lewis, JR; Langdahl, BL; Hermann, AP; Jensen, JE; Kaptoge, S; Khaw, KT; Reeve, J; Formosa, MM; Xuereb-Anastasi, A; Åkesson, K; McGuigan, FE; Garg, G; Olmos, JM; Zarrabeitia, MT; Riancho, JA; Ralston, SH; Alonso, N; Jiang, X; Goltzman, D; Pastinen, T; Grundberg, E; Gauguier, D; Orwoll, ES; Karasik, D; Davey-Smith, G; Smith, AV; Siggeirsdottir, K; Harris, TB; Zillikens, MC; van, Meurs, JB; Thorsteinsdottir, U; Maurano, MT; Timpson, NJ; Soranzo, N; Durbin, R; Wilson, SG; Ntzani, EE; Brown, MA; Stefansson, K; Hinds, DA; Spector, T; Cupples, LA; Ohlsson, C; Greenwood, CM; Jackson, RD; Rowe, DW; Loomis, CA; Evans, DM; Ackert-Bicknell, CL; Joyner, AL; Duncan, EL; Kiel, DP; Rivadeneira, F; Richards, JB, , AOGC, Consortium;UK10K, Consortium.
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.
Nature. 2015; 526(7571): 112-7.
Doi: 10.1038/nature14878
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- Co-authors Med Uni Graz
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Alonso Lopez Nerea
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- Abstract:
- The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.
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Animals - administration & dosage
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Bone Density - genetics
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Bone and Bones - metabolism
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Disease Models, Animal - administration & dosage
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Europe - ethnology
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Exome - genetics
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Female - administration & dosage
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Fractures, Bone - genetics
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Gene Frequency - genetics
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Genetic Predisposition to Disease - genetics
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Genetic Variation - genetics
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Genome, Human - genetics
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Genotype - administration & dosage
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Sequence Analysis, DNA - administration & dosage
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Whites - genetics
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Wnt Proteins - genetics