# The successful search for genetic loci associated with depression

**Authors:** Margarita Rivera, Peter McGuffin

PMC · DOI: 10.1186/s13073-015-0217-4 · Genome Medicine · 2015-08-25

## TL;DR

A new study successfully identified two genetic variants linked to depression using low-coverage sequencing and reduced heterogeneity.

## Contribution

The study introduces low-coverage sequencing and reduced heterogeneity to identify robust genetic loci for depression.

## Key findings

- Two genetic variants were identified and replicated as risk factors for depression.
- Low-coverage sequencing proved effective in uncovering these loci.
- Reducing phenotypic and genetic heterogeneity improved study outcomes.

## Abstract

Major depressive disorder is among the leading causes of disease burden and disability, as well as a major public health concern worldwide. Despite its substantial heritability, no robustly replicated genetic risk loci had been found until recently. Now, a new study has identified, and replicated, two variants associated with an increased risk for this disorder. The success of this study appears to lie in the use of low-coverage sequencing, instead of microarrays, and in minimizing phenotypic and genetic heterogeneity.

## Linked entities

- **Diseases:** Major depressive disorder (MONDO:0002009)

## Full-text entities

- **Genes:** SIRT1 (sirtuin 1) [NCBI Gene 23411] {aka SIR2, SIR2L1, SIR2alpha}, LHPP (phospholysine phosphohistidine inorganic pyrophosphate phosphatase) [NCBI Gene 64077] {aka HDHD2B}
- **Diseases:** HPA (MESH:D007029), depression (MESH:D003866), schizophrenia (MESH:D012559), MDD (MESH:D003865), mental illnesses (MESH:D001523), bipolar disorder (MESH:D001714),  (MESH:D020022)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** rs35936514, rs12415800

## Full text

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## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC4548917/full.md

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Source: https://tomesphere.com/paper/PMC4548917