Hindy, G.* ; Dornbos, P.* ; Chaffin, M.D.* ; Liu, D.J.* ; Wang, M.* ; Selvaraj, M.S.* ; Zhang, D.* ; Park, J.* ; Aguilar-Salinas, C.A.* ; Antonacci-Fulton, L.L.* ; Ardissino, D.* ; Arnett, D.K.* ; Aslibekyan, S.* ; Atzmon, G.* ; Ballantyne, C.M.* ; Barajas-Olmos, F.* ; Barzilai, N.* ; Becker, L.C.* ; Bielak, L.F.* ; Bis, J.C.* ; Blangero, J.* ; Boerwinkle, E.* ; Bonnycastle, L.L.* ; Bottinger, E.B.* ; Bowden, D.W.* ; Bown, M.J.* ; Brody, J.A.* ; Broome, J.G.* ; Burtt, N.P.* ; Cade, B.E.* ; Centeno-Cruz, F.* ; Chan, E.* ; Chang, Y.C.* ; Chen, Y.I.* ; Cheng, C.Y.* ; Choi, W.J.* ; Chowdhury, R.* ; Contreras-Cubas, C.* ; Córdova, E.J.* ; Correa, A.* ; Cupples, L.A.* ; Curran, J.E.* ; Danesh, J.* ; de Vries, P.S.* ; DeFronzo, R.A.* ; Doddapaneni, H.V.* ; Duggirala, R.* ; Dutcher, S.K.* ; Ellinor, P.T.* ; Emery, L.S.* ; Florez, J.C.* ; Fornage, M.* ; Freedman, B.I.* ; Fuster, V.* ; Garay-Sevilla, M.E.* ; García-Ortiz, H.* ; Germer, S.* ; Gibbs, R.A.* ; Gieger, C. ; Glaser, B.* ; Gonzalez, C.* ; Gonzalez-Villalpando, M.E.* ; Graff, M.* ; Graham, S.E.* ; Grarup, N.* ; Groop, L.C.* ; Guo, X.* ; Gupta, N.* ; Han, S.* ; Hanis, C.L.* ; Hansen, T.* ; He, J.* ; Heard-Costa, N.L.* ; Hung, Y.J.* ; Hwang, M.Y.* ; Irvin, M.R.* ; Islas-Andrade, S.* ; Jarvik, G.P.* ; Kang, H.M.* ; Kardia, S.L.R.* ; Kelly, T.N.* ; Kenny, E.E.* ; Khan, A.T.* ; Kim, B.J.* ; Kim, R.W.* ; Kim, Y.J.* ; Koistinen, H.A.* ; Kooperberg, C.* ; Kuusisto, J.* ; Kwak, S.H.* ; Laakso, M.* ; Lange, L.A.* ; Lee, J.* ; Lee, S.* ; Lehman, D.M.* ; Lemaitre, R.N.* ; Linneberg, A.* ; Liu, J.* ; Loos, R.J.F.* ; Lubitz, S.A.* ; Lyssenko, V.* ; Ma, R.C.W.* ; Martin, L.W.* ; Martínez-Hernández, A.* ; Mathias, R.A.* ; McGarvey, S.T.* ; McPherson, R.* ; Meigs, J.B.* ; Meitinger, T.* ; Melander, O.* ; Mendoza-Caamal, E.* ; Metcalf, G.A.* ; Mi, X.* ; Mohlke, K.L.* ; Montasser, M.E.* ; Moon, J.Y.* ; Moreno-Macias, H.* ; Morrison, A.C.* ; Muzny, D.M.* ; Nelson, S.C.* ; Nilsson, P.M.* ; O'Connell, J.R.* ; Orho-Melander, M.* ; Orozco, L.* ; Palmer, C.N.A.* ; Palmer, N.D.* ; Park, C.J.* ; Park, K.S.* ; Pedersen, O.* ; Peralta, J.M.* ; Peyser, P.A.* ; Post, W.S.* ; Preuss, M.* ; Psaty, B.M.* ; Qi, Q.* ; Rao, D.C.* ; Redline, S.* ; Reiner, A.P.* ; Revilla-Monsalve, C.* ; Rich, S.S.* ; Samani, N.* ; Schunkert, H.* ; Schurmann, C.* ; Seo, D.* ; Seo, J.S.* ; Sim, X.* ; Sladek, R.* ; Small, K.S.* ; So, W.Y.* ; Stilp, A.M.* ; Tai, E.S.* ; Tam, C.H.T.* ; Taylor, K.D.* ; Teo, Y.Y.* ; Thameem, F.* ; Tomlinson, B.* ; Tsai, M.Y.* ; Tuomi, T.* ; Tuomilehto, J.* ; Tusié-Luna, T.* ; Udler, M.S.* ; van Dam, R.M.* ; Vasan, R.S.* ; Viaud Martinez, K.A.* ; Wang, F.F.* ; Wang, X.* ; Watkins, H.* ; Weeks, D.E.* ; Wilson, J.G.* ; Witte, D.R.* ; Wong, T.Y.* ; Yanek, L.R.* ; Kathiresan, S.* ; Rader, D.J.* ; Rotter, J.I.* ; Boehnke, M.* ; McCarthy, M.I.* ; Willer, C.J.* ; Natarajan, P.* ; Flannick, J.A.* ; Khera, A.V.* ; Peloso, G.M.*
Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.
Am. J. Hum. Genet. 109, 81-96 (2022)
Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Association ; Cholesterol ; Exome Sequencing ; Gene-based Association ; Lipid; Sinusoidal Endothelial-cells; Of-function Mutations; Sequence Variants; Risk; Apoc3; Identification; Triglycerides; Perilipin; Angptl3; Binding
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2022
Prepublished im Jahr
2021
HGF-Berichtsjahr
2021
ISSN (print) / ISBN
0002-9297
e-ISSN
1537-6605
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 109,
Heft: 1,
Seiten: 81-96
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
New York, NY
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504091-004
Förderungen
National Heart, Lung, and Blood Institute (NHLBI)
Swedish Research Council
Copyright
Erfassungsdatum
2022-02-08