Christopher A Haiman

Genome-wide association study provides novel insight into the genetic architecture of severe obesity.

This study identifies novel genetic signals associated with severe obesity through GWAS and shows strong genetic overlap with BMI, highlighting shared comorbidities and lifestyle interactions.

Association of Gene Variant Type and Location with Breast Cancer Risk in the General Population

This study evaluates breast cancer risks associated with pathogenic variant type and location in BRCA2 and other genes, finding differential risks based on variant position.

Estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics

This paper introduces HAMSTA, a method to estimate heritability from admixture mapping summary statistics while adjusting for ancestral stratification bias, and applies it to African American datasets.

Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals

The paper quantifies similarity in causal effects across local ancestries in admixed individuals and finds high genetic correlation (radmix=0.95) within individuals.

Human loss-of-function variants suggest that partial LRRK2 inhibition is a safe therapeutic strategy for Parkinsons disease

The paper analyzes loss-of-function variants in LRRK2 across large genomic datasets to assess the safety of partial LRRK2 inhibition as a Parkinson's disease therapy.

Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes

The paper analyzes multi-nucleotide variants (MNVs) in 125,748 exomes and 15,708 genomes, identifying their distribution, mutational origins, and functional implications.

Identification of Novel Common Breast Cancer Risk Variants in Latinas at the 6q25 Locus

The paper identifies three novel common breast cancer risk variants at the 6q25 locus in Latinas and replicates their association in diverse populations.

Exome chip meta-analysis elucidates the genetic architecture of rare coding variants in smoking and drinking behavior

The paper analyzes rare coding variants in smoking and drinking behavior using exome chip data, finding that they contribute to phenotypic variation but require larger samples for individual variant associations.