title: Implications of comorbidity and ascertainment bias for identifying disease genes.
abstract: Comorbidity, the co-occurrence of disorders, is frequently observed to occur at higher rates in clinically ascertained samples than in population-based samples. An explanation for this finding is that subjects suffering from multiple illnesses are more likely to seek medical care and receive a diagnostic evaluation. We refer to the component of the comorbidity between illnesses due to such ascertainment bias as "spurious comorbidity." When spurious comorbidity is present, an apparent association between a candidate locus and the phenotype of interest may actually be attributable to an association between the locus and a comorbid phenotype. This phenomenon, which we call "spurious comorbidity bias," could thus produce misleading association findings. In this article, we describe this phenomenon and demonstrate that it may produce marked bias in the conclusions of family-based association studies. Because of the extremely high rates of comorbidity among psychiatric disorders in clinical samples, this problem may be particularly salient for genetic studies of neuropsychiatric disorders. We conclude that ascertainment bias may contribute to the frequent difficulty in replicating candidate gene study findings in psychiatry. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 96:817-822, 2000.
authors: Harvard School of Public Health, Boston, Massachusetts, USA. jordan_smoller@hms.harvard.edu
authors: J W
authors: JW
authors: Smoller
authors: K L
authors: KL
authors: Lunetta
authors: J
authors: J
authors: Robins
mesh_terms: D000483:Alleles; D015982:Bias; D015897:Comorbidity; D003866:Depressive Disorder / Q000235:genetics; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D008957:Models, Genetic; D019683:Penetrance; D010641:Phenotype