| Autor: |
Gillian Morven Belbin, Jacqueline Odgis, Elena P Sorokin, Muh-Ching Yee, Sumita Kohli, Benjamin S Glicksberg, Christopher R Gignoux, Genevieve L Wojcik, Tielman Van Vleck, Janina M Jeff, Michael Linderman, Claudia Schurmann, Douglas Ruderfer, Xiaoqiang Cai, Amanda Merkelson, Anne E Justice, Kristin L Young, Misa Graff, Kari E North, Ulrike Peters, Regina James, Lucia Hindorff, Ruth Kornreich, Lisa Edelmann, Omri Gottesman, Eli EA Stahl, Judy H Cho, Ruth JF Loos, Erwin P Bottinger, Girish N Nadkarni, Noura S Abul-Husn, Eimear E Kenny |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
eLife, Vol 6 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2050-084X |
| DOI: |
10.7554/eLife.25060 |
| Popis: |
Achieving confidence in the causality of a disease locus is a complex task that often requires supporting data from both statistical genetics and clinical genomics. Here we describe a combined approach to identify and characterize a genetic disorder that leverages distantly related patients in a health system and population-scale mapping. We utilize genomic data to uncover components of distant pedigrees, in the absence of recorded pedigree information, in the multi-ethnic BioMe biobank in New York City. By linking to medical records, we discover a locus associated with both elevated genetic relatedness and extreme short stature. We link the gene, COL27A1, with a little-known genetic disease, previously thought to be rare and recessive. We demonstrate that disease manifests in both heterozygotes and homozygotes, indicating a common collagen disorder impacting up to 2% of individuals of Puerto Rican ancestry, leading to a better understanding of the continuum of complex and Mendelian disease. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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