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Yengo, L; Vedantam, S; Marouli, E; Sidorenko, J; Bartell, E; Sakaue, S; Graff, M; Eliasen, AU; Jiang, Y; Raghavan, S; Miao, J; Arias, JD; Graham, SE; Mukamel, RE; Spracklen, CN; Yin, X; Chen, SH; Ferreira, T; Highland, HH; Ji, Y; Karaderi, T; Lin, K; Lüll, K; Malden, DE; Medina-Gomez, C; Machado, M; Moore, A; Rüeger, S; Sim, X; Vrieze, S; Ahluwalia, TS; Akiyama, M; Allison, MA; Alvarez, M; Andersen, MK; Ani, A; Appadurai, V; Arbeeva, L; Bhaskar, S; Bielak, LF; Bollepalli, S; Bonnycastle, LL; Bork-Jensen, J; Bradfield, JP; Bradford, Y; Braund, PS; Brody, JA; Burgdorf, KS; Cade, BE; Cai, H; Cai, Q; Campbell, A; Cañadas-Garre, M; Catamo, E; Chai, JF; Chai, X; Chang, LC; Chang, YC; Chen, CH; Chesi, A; Choi, SH; Chung, RH; Cocca, M; Concas, MP; Couture, C; Cuellar-Partida, G; Danning, R; Daw, EW; Degenhard, F; Delgado, GE; Delitala, A; Demirkan, A; Deng, X; Devineni, P; Dietl, A; Dimitriou, M; Dimitrov, L; Dorajoo, R; Ekici, AB; Engmann, JE; Fairhurst-Hunter, Z; Farmaki, AE; Faul, JD; Fernandez-Lopez, JC; Forer, L; Francescatto, M; Freitag-Wolf, S; Fuchsberger, C; Galesloot, TE; Gao, Y; Gao, Z; Geller, F; Giannakopoulou, O; Giulianini, F; Gjesing, AP; Goel, A; Gordon, SD; Gorski, M; Grove, J; Guo, X; Gustafsson, S; Haessler, J; Hansen, TF; Havulinna, AS; Haworth, SJ; He, J; Heard-Costa, N; Hebbar, P; Hindy, G; Ho, YA; Hofer, E; Holliday, E; Horn, K; Hornsby, WE; Hottenga, JJ; Huang, H; Huang, J; Huerta-Chagoya, A; Huffman, JE; Hung, YJ; Huo, S; Hwang, MY; Iha, H; Ikeda, DD; Isono, M; Jackson, AU; Jäger, S; Jansen, IE; Johansson, I; Jonas, JB; Jonsson, A; Jørgensen, T; Kalafati, IP; Kanai, M; Kanoni, S; Kårhus, LL; Kasturiratne, A; Katsuya, T; Kawaguchi, T; Kember, RL; Kentistou, KA; Kim, HN; Kim, YJ; Kleber, ME; Knol, MJ; Kurbasic, A; Lauzon, M; Le, P; Lea, R; Lee, JY; Leonard, HL; Li, SA; Li, X; Li, X; Liang, J; Lin, H; Lin, SY; Liu, J; Liu, X; Lo, KS; Long, J; Lores-Motta, L; Luan, J; Lyssenko, V; Lyytikäinen, LP; Mahajan, A; Mamakou, V; Mangino, M; Manichaikul, A; Marten, J; Mattheisen, M; Mavarani, L; McDaid, AF; Meidtner, K; Melendez, TL; Mercader, JM; Milaneschi, Y; Miller, JE; Millwood, IY; Mishra, PP; Mitchell, RE; Møllehave, LT; Morgan, A; Mucha, S; Munz, M; Nakatochi, M; Nelson, CP; Nethander, M; Nho, CW; Nielsen, AA; Nolte, IM; Nongmaithem, SS; Noordam, R; Ntalla, I; Nutile, T; Pandit, A; Christofidou, P; Pärna, K; Pauper, M; Petersen, ERB; Petersen, LV; Pitkänen, N; Polašek, O; Poveda, A; Preuss, MH; Pyarajan, S; Raffield, LM; Rakugi, H; Ramirez, J; Rasheed, A; Raven, D; Rayner, NW; Riveros, C; Rohde, R; Ruggiero, D; Ruotsalainen, SE; Ryan, KA; Sabater-Lleal, M; Saxena, R; Scholz, M; Sendamarai, A; Shen, B; Shi, J; Shin, JH; Sidore, C; Sitlani, CM; Slieker, RC; Smit, RAJ; Smith, AV; Smith, JA; Smyth, LJ; Southam, L; Steinthorsdottir, V; Sun, L; Takeuchi, F; Tallapragada, DSP; Taylor, KD; Tayo, BO; Tcheandjieu, C; Terzikhan, N; Tesolin, P; Teumer, A; Theusch, E; Thompson, DJ; Thorleifsson, G; Timmers, PRHJ; Trompet, S; Turman, C; Vaccargiu, S; van, der, Laan, SW; van, der, Most, PJ; van, Klinken, JB; van, Setten, J; Verma, SS; Verweij, N; Veturi, Y; Wang, CA; Wang, C; Wang, L; Wang, Z; Warren, HR; Bin, Wei, W; Wickremasinghe, AR; Wielscher, M; Wiggins, KL; Winsvold, BS; Wong, A; Wu, Y; Wuttke, M; Xia, R; Xie, T; Yamamoto, K; Yang, J; Yao, J; Young, H; Yousri, NA; Yu, L; Zeng, L; Zhang, W; Zhang, X; Zhao, JH; Zhao, W; Zhou, W; Zimmermann, ME; Zoledziewska, M; Adair, LS; Adams, HHH; Aguilar-Salinas, CA; Al-Mulla, F; Arnett, DK; Asse ....
A saturated map of common genetic variants associated with human height.
Nature. 2022; 610(7933):704-712 Doi: 10.1038/s41586-022-05275-y [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Hofer Edith
März Winfried
Schmidt Helena
Schmidt Reinhold
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Abstract:
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
Find related publications in this database (using NLM MeSH Indexing)
Humans - administration & dosage
Body Height - genetics
Gene Frequency - genetics
Genome, Human - genetics
Genome-Wide Association Study - administration & dosage
Haplotypes - genetics
Linkage Disequilibrium - genetics
Polymorphism, Single Nucleotide - genetics
Europe - ethnology
Sample Size - administration & dosage
Phenotype - administration & dosage
Chromosome Mapping - administration & dosage

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