Genome-wide polygenic score to identify a monogenic risk-equivalent for coronary disease

By A. Khera, M. Chaffin, Krishna G. Aragam, C. Emdin, D. Klarin, Mary E. Haas, C. Roselli, P. Natarajan, Sekar Kathiresan. 2017

34 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Alkes L Price
2. Peter M. Visscher
3. Frank Dudbridge
4. Naomi R. Wray
5. Mark J. Daly
6. Matthew Stephens
7. Benjamin M. Neale
8. D. Curtis

In Molecular Biology

1. Peter M. Visscher
2. Mark J. Daly
3. D. Curtis
4. Margit Burmeister
5. Jordan W. Smoller
6. Sang-Yun Oh
7. Peter Donnelly
8. Daniel R. Weinberger

Citations in the corpus

• Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes (2018, background): “Genetic risk scores have demonstrated their ability to inform and predict pathology (Cleynen et al., 2016) and more recently have been shown to be able to identify patients with risk equivalent to monogenic variants (Khera et al., 2017).”