Marlene Dalgaard
Biographic Data
| ID | 6911185 |
|---|---|
| NAME | Marlene Dalgaard |
| GIVEN NAMES | Marlene |
| FAMILY NAME | Dalgaard |
| SIGNATURE | DALGAARD M |
| AFFILIATIONS | Technical University of Denmark |
| ORCID | 0000-0002-4036-6408 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Using Polygenic Scores in Social Science Research
Biological, genetic, and socio-demographic factors are all important in explaining reproductive behavior, yet these factors are typically studied in isolation. In this study, we explore an innovative sociogenomic approach, which entails including key socio-demographic (marriage, education, occupation, religion, cohort) and genetic factors related to both behavioral [age at first birth (AFB), number of children ever born (NEB)] and biological fecu…
Contamination of the Arctic reflected in microbial metagenomes from the Greenland ice sheet
Globally emitted contaminants accumulate in the Arctic and are stored in the frozen environments of the cryosphere. Climate change influences the release of these contaminants through elevated melt rates, resulting in increased contamination locally. Our understanding of how biological processes interact with contamination in the Arctic is limited. Through shotgun metagenomic data and binned genomes from metagenomes we show that microbial communi…
No prominent works on this page.
Contamination of the Arctic reflected in microbial metagenomes from the Greenland ice sheet
Globally emitted contaminants accumulate in the Arctic and are stored in the frozen environments of the cryosphere. Climate change influences the release of these contaminants through elevated melt rates, resulting in increased contamination locally. Our understanding of how biological processes interact with contamination in the Arctic is limited. Through shotgun metagenomic data and binned genomes from metagenomes we show that microbial communi…
Using Polygenic Scores in Social Science Research
Biological, genetic, and socio-demographic factors are all important in explaining reproductive behavior, yet these factors are typically studied in isolation. In this study, we explore an innovative sociogenomic approach, which entails including key socio-demographic (marriage, education, occupation, religion, cohort) and genetic factors related to both behavioral [age at first birth (AFB), number of children ever born (NEB)] and biological fecu…
Arctic (1 work) · Bacteria (1 work) · Biology (1 work) · Chemistry (1 work) · Childlessness (1 work) · Contamination (1 work) · Cryosphere (1 work) · Demographic Trends and Gender Preferences (1 work) · Demography (1 work) · Ecology (1 work)