Wedding portrait of Hans Krakauer and Elizabeth Gottschalk; Hannover, Germany. Portraits Couples

In the apartment on Ruemkorffstrasse that the Gottschalks occupied after being forced to sell their house.

Unidentified man, Elizabeth Krakauer nee Gottschalk and Hans Krakauer on board the ship Koenigstein traveling from Antwerp to New York City on their emigration voyage from Germany.

Digital Image

Elizabeth Krakauer nee Gottschalk with her mother-in-law Auguste Krakauer nee Mayer in front of a house.

Digital Image

Elizabeth nee Gottschalk and Hans Krakauer's first house in Boston with descriptions on the picture; Boston, Erie County, New York.

Digital Image

Portrait of Liesel (Elizabeth) Gottschalk as a baby; Hannover, Germany.

Digital Image

Portrait of Liesel (Elizabeth) Gottschalk with her grandfather Adolf Molling; Germany.

Digital Image

Portrait of siblings Hans Ludwig (Hal) and Elizabeth Gottschalk.

Digital Image

Studio portrait of Martin Goldschmidt; Leipzig Portraits Men

Signed lower right by photographer

Genetic burden associated with varying degrees of disease severity in endometriosis

Endometriosis is primarily characterized by the presence of tissue resembling endometrium outside the uterine cavity and is usually diagnosed by laparoscopy. The most commonly used classification of disease, the revised American Fertility Society (rAFS) system to grade endometriosis into different stages based on disease severity (I to IV), has been questioned as it does not correlate well with underlying symptoms, posing issues in diagnosis and choice of treatment. Using two independent European genome-wide association (GWA) datasets and top-level classification of the endometriosis cases based on rAFS [minimal or mild (Stage A) and moderate-to-severe (Stage B) disease], we previously showed that Stage B endometriosis has greater contribution of common genetic variation to its aetiology than Stage A disease. Herein, we extend our previous analysis to four endometriosis stages [minimal (Stage I), mild (Stage II), moderate (Stage III) and severe (Stage IV) disease] based on the rAFS classification system and compared the genetic burden across stages. Our results indicate that genetic burden increases from minimal to severe endometriosis. For the minimal disease, genetic factors may contribute to a lesser extent than other disease categories. Mild and moderate endometriosis appeared genetically similar, making it difficult to tease them apart. Consistent with our previous reports, moderate and severe endometriosis showed greater genetic burden than minimal or mild disease. Overall, our results provide new insights into the genetic architecture of endometriosis and further investigation in larger samples may help to understand better the aetiology of varying degrees of endometriosis, enabling improved diagnostic and treatment modalities.

Exterior view of Martin Goldschmidt's business; Kurfuerstendamm 34, Berlin W.15 Portraits Men

Born 1879?; Married September 2, 1903 in Leipzig to Paula Harmelin; Father of Henry H. Goldschmidt Gould and Ruth Augusta Beatrice Goldschmidt

Martin Goldschmidt reading on a park bench Portraits Men

Handwritten postcard addressed to Ruth Goldschmidt in Italy and dated 1937 from Zurich

Ruth Augusta Beatrice Goldschmidt with her parents Paula Goldschmidt née Harmelin and Martin Goldschmidt, walking on the street outside the Richmond Park Hotel; Karlsbad Portraits Family

Paula Goldschmidt, née Harmelin, born 1880; Martin Goldschmidt, born circa 1879; Ruth Augusta Beatrice Goldschmidt, born 1923?

Yasha and Riva outside their lighting store; Martin Luter Strasse, Berlin Portraits Couples

Relatives of the Judey-Barosin and Finkel families

A genome-wide association study of sleep habits and insomnia

Several aspects of sleep behavior such as timing, duration and quality have been demonstrated to be heritable. To identify common variants that influence sleep traits in the population, we conducted a genome-wide association study of six sleep phenotypes assessed by questionnaire in a sample of 2,323 individuals from the Australian Twin Registry. Genotyping was performed on the Illumina 317, 370, and 610K arrays and the SNPs in common between platforms were used to impute non-genotyped SNPs. We tested for association with more than 2,000,000 common polymorphisms across the genome. While no SNPs reached the genome-wide significance threshold, we identified a number of associations in plausible candidate genes. Most notably, a group of SNPs in the third intron of the CACNA1C gene ranked as most significant in the analysis of sleep latency (P = 1.3 x 10(-)(6)). We attempted to replicate this association in an independent sample from the Chronogen Consortium (n = 2,034), but found no evidence of association (P = 0.73). We have identified several other suggestive associations that await replication in an independent sample. We did not replicate the results from previous genome-wide analyses of self-reported sleep phenotypes after correction for multiple testing.

Genome-wide association meta-analysis identifies new endometriosis risk loci

We conducted a genome-wide association meta-analysis of 4,604 endometriosis cases and 9,393 controls of Japanese and European ancestry. We show that rs12700667 on chromosome 7p15.2, previously found to associate with disease in Europeans, replicates in Japanese (P = 3.6 x 10(-3)), and we confirm association of rs7521902 at 1p36.12 near WNT4. In addition, we establish an association of rs13394619 in GREB1 at 2p25.1 with endometriosis and identify a newly associated locus at 12q22 near VEZT (rs10859871). Excluding cases of European ancestry of minimal or unknown severity, we identified additional previously unknown loci at 2p14 (rs4141819), 6p22.3 (rs7739264) and 9p21.3 (rs1537377). All seven SNP effects were replicated in an independent cohort and associated at P <5 x 10(-8) in a combined analysis. Finally, we found a significant overlap in polygenic risk for endometriosis between the genome-wide association cohorts of European and Japanese descent (P = 8.8 x 10(-11)), indicating that many weakly associated SNPs represent true endometriosis risk loci and that risk prediction and future targeted disease therapy may be transferred across these populations.