| human | Q5 |
| P496 | ORCID iD | 0000-0002-5318-8225 |
| P1153 | Scopus author ID | 36463517800 |
| P69 | educated at | Yale College | Q2599077 |
| Harvard University Graduate School of Arts and Sciences | Q5676420 | ||
| P108 | employer | Harvard Medical School | Q49121 |
| University of Michigan | Q230492 | ||
| University of Michigan Medical School | Q20725458 | ||
| University of Michigan School of Public Health | Q7895778 | ||
| Icahn School of Medicine at Mount Sinai | Q1950740 | ||
| Brigham and Women's Hospital | Q2900977 | ||
| P734 | family name | Jordan | Q1703599 |
| Jordan | Q1703599 | ||
| Jordan | Q1703599 | ||
| P735 | given name | Daniel | Q14516546 |
| Daniel | Q14516546 | ||
| P106 | occupation | researcher | Q1650915 |
| P21 | sex or gender | male | Q6581097 |
| Q47553672 | A literature review at genome scale: improving clinical variant assessment. |
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| Q35824036 | Disproportionate Contributions of Select Genomic Compartments and Cell Types to Genetic Risk for Coronary Artery Disease. |
| Q36331726 | Estimating the selective effects of heterozygous protein-truncating variants from human exome data. |
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| Q42406410 | Predicting functional effect of human missense mutations using PolyPhen-2. |
| Q61795901 | Quantification of frequency-dependent genetic architectures in 25 UK Biobank traits reveals action of negative selection |
| Q93382123 | Reply to 'Selective effects of heterozygous protein-truncating variants' |
| Q52324989 | Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases. |
| Q33622353 | When "N of 2" is not enough: integrating statistical and functional data in gene discovery. |
| Q28771729 | Widespread macromolecular interaction perturbations in human genetic disorders |
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