Ontology type: schema:ScholarlyArticle Open Access: True
2014-12
AUTHORSNoah Zaitlen, Bogdan Pasaniuc, Sriram Sankararaman, Gaurav Bhatia, Jianqi Zhang, Alexander Gusev, Taylor Young, Arti Tandon, Samuela Pollack, Bjarni J Vilhjálmsson, Themistocles L Assimes, Sonja I Berndt, William J Blot, Stephen Chanock, Nora Franceschini, Phyllis G Goodman, Jing He, Anselm J M Hennis, Ann Hsing, Sue A Ingles, William Isaacs, Rick A Kittles, Eric A Klein, Leslie A Lange, Barbara Nemesure, Nick Patterson, David Reich, Benjamin A Rybicki, Janet L Stanford, Victoria L Stevens, Sara S Strom, Eric A Whitsel, John S Witte, Jianfeng Xu, Christopher Haiman, James G Wilson, Charles Kooperberg, Daniel Stram, Alex P Reiner, Hua Tang, Alkes L Price
ABSTRACTDespite recent progress on estimating the heritability explained by genotyped SNPs (h(2)g), a large gap between h(2)g and estimates of total narrow-sense heritability (h(2)) remains. Explanations for this gap include rare variants or upward bias in family-based estimates of h(2) due to shared environment or epistasis. We estimate h(2) from unrelated individuals in admixed populations by first estimating the heritability explained by local ancestry (h(2)γ). We show that h(2)γ = 2FSTCθ(1 - θ)h(2), where FSTC measures frequency differences between populations at causal loci and θ is the genome-wide ancestry proportion. Our approach is not susceptible to biases caused by epistasis or shared environment. We applied this approach to the analysis of 13 phenotypes in 21,497 African-American individuals from 3 cohorts. For height and body mass index (BMI), we obtained h(2) estimates of 0.55 ± 0.09 and 0.23 ± 0.06, respectively, which are larger than estimates of h(2)g in these and other data but smaller than family-based estimates of h(2). More... »
PAGES1356-1362
http://scigraph.springernature.com/pub.10.1038/ng.3139
DOIhttp://dx.doi.org/10.1038/ng.3139
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1033662959
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25383972
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]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ng.3139'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ng.3139'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng.3139'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng.3139'
This table displays all metadata directly associated to this object as RDF triples.
740 TRIPLES
21 PREDICATES
108 URIs
47 LITERALS
35 BLANK NODES