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Dive into the research topics where Lynn R. Goldin is active.

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Featured researches published by Lynn R. Goldin.


American Journal of Human Genetics | 2009

A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma

Maria Teresa Landi; Nilanjan Chatterjee; Kai Yu; Lynn R. Goldin; Alisa M. Goldstein; Melissa Rotunno; Lisa Mirabello; Kevin B. Jacobs; William Wheeler; Meredith Yeager; Andrew W. Bergen; Qizhai Li; Dario Consonni; Angela Cecilia Pesatori; Sholom Wacholder; Michael J. Thun; Ryan Diver; Martin M. Oken; Jarmo Virtamo; Demetrius Albanes; Zhaoming Wang; Laurie Burdette; Kimberly F. Doheny; Elizabeth W. Pugh; Cathy C. Laurie; Paul Brennan; Rayjean J. Hung; Valerie Gaborieau; James D. McKay; Mark Lathrop

Three genetic loci for lung cancer risk have been identified by genome-wide association studies (GWAS), but inherited susceptibility to specific histologic types of lung cancer is not well established. We conducted a GWAS of lung cancer and its major histologic types, genotyping 515,922 single-nucleotide polymorphisms (SNPs) in 5739 lung cancer cases and 5848 controls from one population-based case-control study and three cohort studies. Results were combined with summary data from ten additional studies, for a total of 13,300 cases and 19,666 controls of European descent. Four studies also provided histology data for replication, resulting in 3333 adenocarcinomas (AD), 2589 squamous cell carcinomas (SQ), and 1418 small cell carcinomas (SC). In analyses by histology, rs2736100 (TERT), on chromosome 5p15.33, was associated with risk of adenocarcinoma (odds ratio [OR]=1.23, 95% confidence interval [CI]=1.13-1.33, p=3.02x10(-7)), but not with other histologic types (OR=1.01, p=0.84 and OR=1.00, p=0.93 for SQ and SC, respectively). This finding was confirmed in each replication study and overall meta-analysis (OR=1.24, 95% CI=1.17-1.31, p=3.74x10(-14) for AD; OR=0.99, p=0.69 and OR=0.97, p=0.48 for SQ and SC, respectively). Other previously reported association signals on 15q25 and 6p21 were also refined, but no additional loci reached genome-wide significance. In conclusion, a lung cancer GWAS identified a distinct hereditary contribution to adenocarcinoma.


Nature Genetics | 2012

Detectable clonal mosaicism from birth to old age and its relationship to cancer

Cathy C. Laurie; Cecelia A. Laurie; Kenneth Rice; Kimberly F. Doheny; Leila R. Zelnick; Caitlin P. McHugh; Hua Ling; Kurt N. Hetrick; Elizabeth W. Pugh; Christopher I. Amos; Qingyi Wei; Li-E Wang; Jeffrey E. Lee; Kathleen C. Barnes; Nadia N. Hansel; Rasika A. Mathias; Denise Daley; Terri H. Beaty; Alan F. Scott; Ingo Ruczinski; Rob Scharpf; Laura J. Bierut; Sarah M. Hartz; Maria Teresa Landi; Neal D. Freedman; Lynn R. Goldin; David Ginsburg; Jun-Jun Li; Karl C. Desch; Sara S. Strom

We detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5–10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2–3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6–18).


American Journal of Medical Genetics | 1997

Initial genome scan of the nimh genetics initiative bipolar pedigrees: Chromosomes 1, 6, 8, 10, and 12

John P. Rice; Alison Goate; Jeff T. Williams; Laura J. Bierut; David Dorr; William Wu; Shantia Shears; Gayathri Gopalakrishnan; Howard J. Edenberg; Tatiana Foroud; John I. Nurnberger; Elliot S. Gershon; Sevilla D. Detera-Wadleigh; Lynn R. Goldin; Juliet J. Guroff; Francis J. McMahon; Sylvia G. Simpson; Dean F. MacKinnon; O. Colin Stine; J. Raymond DePaulo; Mary C. Blehar; Theodore Reich

A report on an initial genome screen on 540 individuals in 97 families was collected as part of the NIMH Genetics Initiative on Bipolar Disorder. Families were ascertained to be informative for genetic linkage and underwent a common ascertainment and assessment protocol at four clinical sites. The sample was genotyped for 65 highly polymorphic markers from chromosomes 1, 6, 8, 10, and 12. The average intermarker interval was 16 cM. Genotypic data was analyzed using affected sib pair, multipoint affected sib pair, and pedigree analysis methods. Multipoint methods gave lod scores of approximately two on chromosomes 1, 6, and 10. The peak lod score on chromosome 6 occurred at the end of the q-arm, at some distance from the 6p24-22 area previously implicated for schizophrenia. We are currently genotyping additional markers to reduce the intermarker interval around the signals. The interpretation of results from a genome screen of a complex disorder and the problem of achieving a balance between detecting false positive results and the ability to detect genes of modest effect are discussed.


American Journal of Medical Genetics | 1997

Initial genomic scan of the NIMH genetics initiative bipolar pedigrees: Chromosomes 3, 5, 15, 16, 17, and 22

Howard J. Edenberg; Tatiana Foroud; P. Michael Conneally; Jeffrey J. Sorbel; Kristie Carr; Candice Crose; Chris Willig; Jinghua Zhao; Marvin J. Miller; Elizabeth S. Bowman; Aimee Mayeda; N. Leela Rau; Carrie Smiley; John P. Rice; Alison Goate; Theodore Reich; O. Colin Stine; Francis J. McMahon; J. Raymond DePaulo; Deborah A. Meyers; Sevilla D. Detera-Wadleigh; Lynn R. Goldin; Elliot S. Gershon; Mary C. Blehar; John I. Nurnberger

As part of the four-center NIMH Genetics Initiative on Bipolar Disorder we carried out a genomic scan of chromosomes 3, 5, 15, 16,17, and 22. Genotyping was performed on a set of 540 DNAs from 97 families, enriched for affected relative pairs and parents where available. We report here the results of the initial 74 markers that have been typed on this set of DNAs. The average distance between markers (theta) was 12.3 cM. Nonparametric analysis of excess allele sharing among affected sibling pairs used the SIBPAL program of the S.A.G.E. package to test three hierarchical models of affected status. D16S2619 gave some evidence of linkage to bipolar disorder, with P = 0.006 for Model II (in which bipolar 1, bipolar 2 and schizoaffective-bipolar type individuals are considered affected). Nearby markers also showed increased allele sharing. A second interesting region was toward the telomere of chromosome 5q, where D5S1456 and nearby markers showed increased allele sharing; for D5S1456, P = 0.05, 0.015 and 0.008 as the models of affected status become more broad. MOD score analysis also supported the possible presence of a susceptibility locus in this region of chromosome 5. A pair of adjacent markers on chromosome 3, D3S2405 and D3S3038, showed a modest increased allele sharing in the broad model. Several isolated markers had excess allele sharing at the P < 0.05 level under a single model. D15S217 showed a MOD score of 2.37 (P < 0.025). Multipoint analysis flagged the region of chromosome 22 around D22S533 as the most interesting. Thus, several regions showed modest evidence for linkage to bipolar disorder in this initial genomic scan of these chromosomes, including broad regions near previous reports of possible linkage.


Cancer | 2004

Familial aggregation of Hodgkin lymphoma and related tumors

Lynn R. Goldin; Ruth M. Pfeiffer; Gloria Gridley; Mitchell H. Gail; Xinjun Li; Lene Mellemkjær; Jørgen H. Olsen; Kari Hemminki; Martha S. Linet

The importance of genetic factors in the etiology of Hodgkin lymphoma (HL) has been suggested by family and population studies. However, the spectrum of malignancies associated with common genetic etiology and the effects of gender and age on familial risk have not been established.


Blood | 2008

Risk of lymphoproliferative disorders among first-degree relatives of lymphoplasmacytic lymphoma/Waldenström macroglobulinemia patients: a population-based study in Sweden

Sigurdur Y. Kristinsson; Magnus Björkholm; Lynn R. Goldin; Mary L. McMaster; Ingemar Turesson; Ola Landgren

A role for genetic factors in the etiology of lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (LPL/WM) is implicated based on prior findings from multiply affected families and small case-control and cohort studies. We identified 2144 LPL/WM patients (1539 WM [72%] and 605 LPL [28%]) diagnosed in Sweden, 8279 population-based matched controls, and linkable first-degree relatives of patients (n = 6177) and controls (n = 24 609). Using a marginal survival model, we calculated relative risks and 95% confidence intervals as measures of familial aggregation. We found first-degree relatives of LPL/WM patients to have 20-fold (4.1-98.4), 3.0-fold (2.0-4.4), 3.4-fold (1.7-6.6), and 5.0-fold (1.3-18.9) increased risks of developing LPL/WM, non-Hodgkin lymphoma (NHL), chronic lymphocytic leukemia (CLL), and monoclonal gammopathy of undetermined significance (MGUS), respectively. However, there was no evidence of an increased risk of developing multiple myeloma or Hodgkin lymphoma. In analyses stratified by type of first-degree relative (parent, sibling, offspring), age at diagnosis of the probands (greater or less than 70 years), and sex of the first-degree relative, we did not observe the risk estimates to be significantly different compared with the overall analyses. Our findings of highly increased risks of developing LPL/WM, NHL, CLL, and MGUS support the operation of shared susceptibility genes that predispose to LPL/WM and other lymphoproliferative disorders.


American Journal of Human Genetics | 1997

True and false positive peaks in genomewide scans: applications of length-biased sampling to linkage mapping.

Joseph D. Terwilliger; William D. Shannon; G. Mark Lathrop; John P. Nolan; Lynn R. Goldin; Gary A. Chase; Daniel E. Weeks

Disease-susceptibility loci are now being mapped via genomewide scans in which a linkage statistic is computed at each of a large number of markers. Such disease-susceptibility loci may be identified via a peak in the test statistic when the latter is plotted against the genetic map. In this paper we establish, by appealing to renewal theory, that true positive peaks are expected to be longer than false positive peaks. These results are verified by a realistic simulation of a genomewide linkage study based on the affected-sib-pair design. Since longer peaks are more likely to contain a gene of interest than are shorter peaks, these differences may aid in linkage mapping, justifying assignment of lower priority to shorter peaks. However, since these differences are generally small, statistics based on both peak length and height may not be much more powerful than those based on height alone. The results presented here also provide a theoretical framework for methods that use the length of shared haplotypes in populations to map disease genes.


Journal of Clinical Oncology | 2011

Treatment-Related Risk Factors for Transformation to Acute Myeloid Leukemia and Myelodysplastic Syndromes in Myeloproliferative Neoplasms

Magnus Björkholm; Åsa Rangert Derolf; Malin Hultcrantz; Sigurdur Y. Kristinsson; Charlotta Ekstrand; Lynn R. Goldin; Bjorn Andreasson; Gunnar Birgegård; Olle Linder; Claes Malm; Berit Markevärn; Lars J Nilsson; Jan Samuelsson; Fredrik Granath; Ola Landgren

PURPOSE Patients with myeloproliferative neoplasms (MPNs), including polycythemia vera, essential thrombocythemia, and primary myelofibrosis, have a propensity to develop acute myeloid leukemia (AML) and myelodysplastic syndromes (MDSs). Using population-based data from Sweden, we assessed the role of MPN treatment and subsequent AML/MDS risk with special focus on the leukemogenic potential of hydroxyurea (HU). METHODS On the basis of a nationwide MPN cohort (N = 11,039), we conducted a nested case-control study, including 162 patients (153 and nine with subsequent AML and MDS diagnosis, respectively) and 242 matched controls. We obtained clinical and MPN treatment data for all patients. Using logistic regression, we calculated odds ratios (ORs) as measures of AML/MDS risk. RESULTS Forty-one (25%) of 162 patients with MPNs with AML/MDS development were never exposed to alkylating agents, radioactive phosphorous (P(32)), or HU. Compared with patients with who were not exposed to HU, the ORs for 1 to 499 g, 500 to 999 g, more than 1,000 g of HU were 1.5 (95% CI, 0.6 to 2.4), 1.4 (95% CI, 0.6 to 3.4), and 1.3 (95% CI, 0.5 to 3.3), respectively, for AML/MDS development (not significant). Patients with MPNs who received P(32) greater than 1,000 MBq and alkylators greater than 1 g had a 4.6-fold (95% CI, 2.1 to 9.8; P = .002) and 3.4-fold (95% CI, 1.1 to 10.6; P = .015) increased risk of AML/MDS, respectively. Patients receiving two or more cytoreductive treatments had a 2.9-fold (95% CI, 1.4 to 5.9) increased risk of transformation. CONCLUSION The risk of AML/MDS development after MPN diagnosis was significantly associated with high exposures of P(32) and alkylators but not with HU treatment. Twenty-five percent of patients with MPNs who developed AML/MDS were not exposed to cytotoxic therapy, supporting a major role for nontreatment-related factors.


Nature Genetics | 2014

Rare missense variants in POT1 predispose to familial cutaneous malignant melanoma

Jianxin Shi; Xiaohong R. Yang; Bari J. Ballew; Melissa Rotunno; Donato Calista; Maria Concetta Fargnoli; Paola Ghiorzo; Brigitte Bressac-de Paillerets; Eduardo Nagore; M.-F. Avril; Neil E. Caporaso; Mary L. McMaster; Michael Cullen; Zhaoming Wang; Xijun Zhang; William Bruno; Lorenza Pastorino; Paola Queirolo; Jose Banuls-Roca; Zaida García-Casado; Amaury Vaysse; Hamida Mohamdi; Yasser Riazalhosseini; Mario Foglio; Fanélie Jouenne; Xing Hua; Paula L. Hyland; Jinhu Yin; Haritha Vallabhaneni; Weihang Chai

Although CDKN2A is the most frequent high-risk melanoma susceptibility gene, the underlying genetic factors for most melanoma-prone families remain unknown. Using whole-exome sequencing, we identified a rare variant that arose as a founder mutation in the telomere shelterin gene POT1 (chromosome 7, g.124493086C>T; p.Ser270Asn) in five unrelated melanoma-prone families from Romagna, Italy. Carriers of this variant had increased telomere lengths and numbers of fragile telomeres, suggesting that this variant perturbs telomere maintenance. Two additional rare POT1 variants were identified in all cases sequenced in two separate Italian families, one variant per family, yielding a frequency for POT1 variants comparable to that for CDKN2A mutations in this population. These variants were not found in public databases or in 2,038 genotyped Italian controls. We also identified two rare recurrent POT1 variants in US and French familial melanoma cases. Our findings suggest that POT1 is a major susceptibility gene for familial melanoma in several populations.


Cytometry Part B-clinical Cytometry | 2003

B‐cell monoclonal lymphocytosis and B‐cell abnormalities in the setting of familial B‐cell chronic lymphocytic leukemia

Gerald E. Marti; Patricia H. Carter; Fatima Abbasi; Glennelle C. Washington; Nisha Jain; Vincent E. Zenger; Naoko Ishibe; Lynn R. Goldin; Laura Fontaine; Nancy Weissman; Maria Sgambati; Guy Fauget; Pablo Bertin; Robert F. Vogt; Barbara Slade; Philip D. Noguchi; M. A. Stetler‐Stevenson; Neil E. Caporaso

Among all hematologic malignancies, B‐cell chronic lymphocytic leukemia (BCLL) has the highest familial clustering (three‐ to sevenfold increase), strongly suggesting a genetic component to its etiology. Familial BCLL can be used as a model to study the early pathogenesis of this disease.

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Neil E. Caporaso

National Institutes of Health

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Ola Landgren

Memorial Sloan Kettering Cancer Center

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Magnus Björkholm

Karolinska University Hospital

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Mary L. McMaster

National Institutes of Health

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Gerald E. Marti

National Institutes of Health

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